CFtime/0000755000176200001440000000000015105125134011416 5ustar liggesusersCFtime/tests/0000755000176200001440000000000015002211452012553 5ustar liggesusersCFtime/tests/testthat/0000755000176200001440000000000015105125134014420 5ustar liggesusersCFtime/tests/testthat/test-CFbounds.R0000644000176200001440000000505315071015201017221 0ustar liggesuserstest_that("bounds works", { t <- CFTime$new("days since 2024-01-01", "standard") off <- seq(from = 0.5, by = 1, length.out = 10) bnds <- rbind(0:9, 1:10) expect_null(t$get_bounds()) # no offsets expect_warning(t$set_bounds(bnds)) # t <- t + off expect_null(t$bounds) # bounds not set t$set_bounds(bnds) expect_equal(t$bounds, bnds) expect_equal(t$get_bounds("%Y-%m-%d")[2,1:3], c("2024-01-02", "2024-01-03", "2024-01-04")) t$set_bounds(NULL) expect_null(t$bounds) expect_warning(bounds(t) <- matrix(1:12, nrow = 4)) expect_warning(bounds(t) <- "plain wrong") expect_warning(bounds(t) <- bnds * 10) bounds(t) <- bnds expect_match(capture_output(t$print()), "Bounds : set$") hr6 <- rbind(off - 0.25, off + 0.25) bounds(t) <- hr6 expect_match(capture_output(t$print()), "Bounds : set$") expect_equal(bounds(t), hr6) expect_equal(bounds(t, "%H")[,1], c("06", "18")) # Copying / subsetting with bounds expect_identical(t, t$copy()) tsub <- t$subset(3:5) subbnds <- tsub$bounds expect_equal(subbnds, matrix(c(2.25, 2.75, 3.25, 3.75, 4.25, 4.75), nrow = 2)) }) test_that("indexOf() works", { off <- (23*360):(24*360-1) + 0.5 # year 2024 days t <- CFtime("days since 2001-01-01", "360_day", off) x <- c("1999-02-12", # pre-origin "2023-06-23", # pre-time series "2024-01-30", "2024-01-31", # non-existent date "2024-02-01", "2024-02-30", "2024-03-01", "2025-01-01") # post-time series expect_error(indexOf(x, t, method = 4)) expect_error(indexOf(TRUE, t)) expect_error(indexOf(x, CFtime("months since 2001-01-01", "standard", 0:23))) expect_error(indexOf(x, t, nomatch = "July")) # must be able to coerce to numeric expect_equal(indexOf(x, t)[1:8], c(NA, NA, 29, NA, 30, 59, 60, NA)) expect_equal(indexOf(x, t, method = "linear")[1:8], c(NA, NA, 29.5, NA, 30.5, 59.5, 60.5, NA)) n <- 1:3 out <- indexOf(n, t) outt <- attr(out, "CFTime") expect_equal(as_timestamp(t)[1:3], as_timestamp(outt)) n <- c(-1, -2, -3) out <- indexOf(n, t) outt <- attr(out, "CFTime") expect_equal(length(outt), 360 - 3) expect_equal(as_timestamp(t)[4:6], as_timestamp(outt)[1:3]) expect_error(indexOf(c(-1, 1), t)) # Attached CFtime must have valid timestamps in `x` out <- indexOf(x, t) outt <- attr(out, "CFTime") expect_equal(as_timestamp(outt), x[!is.na(out)]) bounds(t) <- TRUE expect_equal(indexOf(x, t)[1:8], c(NA, NA, 30, NA, 31, 60, 61, NA)) expect_equal(indexOf(x, t, method = "linear")[1:8], c(NA, NA, 30, NA, 31, 60, 61, NA)) }) CFtime/tests/testthat/test-CFClimatology.R0000644000176200001440000000147015071015362020221 0ustar liggesuserstest_that("CFClimatology works", { # Must have bounds expect_error(CFClimatology$new("days since 2025-01-01", "360_day", 15 + 30 * 0:11)) # Bad bounds expect_warning(CFClimatology$new("days since 2025-01-01", "360_day", 15 + 30 * 0:11, matrix(c(80 * 0:11, 80 * 1:12), nrow = 2, byrow = T))) clim <- CFClimatology$new("days since 2025-01-01", "360_day", 15 + 30 * 0:11, matrix(c(30 * 0:11, 30 * 1:12), nrow = 2, byrow = T)) expect_true(inherits(clim, "CFClimatology")) expect_equal(clim$period, "month") expect_equal(clim$years, c(2025L, 2025L)) x <- capture.output(clim$print()) expect_match(x[6], "average of 30\\.000000 days between 12 elements\\)$") expect_equal(x[7], " Period : month") expect_equal(x[8], " Year : 2025") }) CFtime/tests/testthat/test-CFformat.R0000644000176200001440000003214315071015015017222 0ustar liggesuserstest_that("Creating timestamps", { expect_error(as_timestamp("1-2-3")) # No CFtime as first argument cf <- CFTime$new("hours since 2001-01-01", "365_day") expect_null(cf$as_timestamp()) # No offsets cf <- cf + 0L:2399L expect_error(cf$as_timestamp("d")) # Wrong format specifier expect_error(cf$as_timestamp(asPOSIX = T)) # No POSIXt on a non-standard calendar expect_equal(length(cf$as_timestamp()), 2400L) cf <- CFTime$new("days since 2001-01-01", "standard", 0L:364L) expect_equal(length(cf$as_timestamp()), 365L) expect_equal(nchar(cf$as_timestamp()[1]), 10L) # date string expect_equal(length(cf$as_timestamp("date", TRUE)), 365L) expect_equal(length(cf$as_timestamp("timestamp", TRUE)), 365L) expect_equal(cf$as_timestamp(), as.character(cf)) cf <- cf + 364.56764 expect_equal(cf$range()[2], "2001-12-31T13:37:24.096") }) test_that("Using format()", { cf <- CFTime$new("days since 2001-01-01 18:10:30-04", "365_day") expect_equal(length(cf$format()), 0L) # no offsets cf <- cf + 0:364 expect_equal(cf$format()[1], "2001-01-01T18:10:30") # format parameter missing expect_error(cf$format(123)) # format parameter must be character expect_error(cf$format(c("doesn't", "work", "either"))) expect_equal(cf$format("Timestamp is: %%%F%%")[1], "Timestamp is: %2001-01-01%") expect_equal(cf$format("Timestamp is: %R")[1], "Timestamp is: 18:10") expect_equal(cf$format("%T%z")[1], "18:10:30-0400") #expect_equal(cf$format("%b")[c(1, 32, 60, 91, 121, 152, 182, 213, 244, 274, 305, 335)], month.abb) # en_EN only #expect_equal(cf$format("%B")[c(1, 32, 60, 91, 121, 152, 182, 213, 244, 274, 305, 335)], month.name) # expect_equal(cf$format("%Od-%e-%I%p")[5], "05- 5-06PM") }) test_that("Factor testing", { # No offsets cf <- CFTime$new("days since 2000-01-01", "365_day") expect_error(CFfactor()) expect_error(CFfactor(cf)) expect_error(CFfactor(cf, "zxcv")) expect_error(CFfactor(cf, c("day", "month"))) expect_error(CFfactor(cf, "hour")) expect_error(CFfactor(cf, "month", "bad")) month_days <- c(31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31) leap_month_days <- c(31, 29, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31) dekad_days <- c(10, 10, 11, 10, 10, 8, 10, 10, 11, 10, 10, 10, 10, 10, 11, 10, 10, 10, 10, 10, 11, 10, 10, 11, 10, 10, 10, 10, 10, 11, 10, 10, 10, 10, 10, 11) leap_dekad_days <- c(10, 10, 11, 10, 10, 9, 10, 10, 11, 10, 10, 10, 10, 10, 11, 10, 10, 10, 10, 10, 11, 10, 10, 11, 10, 10, 10, 10, 10, 11, 10, 10, 10, 10, 10, 11) # Few offsets cf <- cf + 365L:370L expect_error(CFfactor(cf)) cf <- cf + 371L:7664L # 20 years of offsets # Regular factors for all available periods np <- c(20, 81, 80, 240, 720, 7300) first <- c("2001", "2001S1", "2001Q1", "2001-01", "2001D01", "2001-01-01") last <- c("2020", "2021S1", "2020Q4", "2020-12", "2020D36", "2020-12-31") for (p in 1:6) { f <- CFfactor(cf, CFt$factor_periods[p]) expect_equal(as.character(f)[1L], first[p]) expect_equal(as.character(f)[7300L], last[p]) newcf <- attr(f, "CFTime") bnds <- bounds(newcf) expect_equal(definition(cf), definition(newcf)) expect_true(is.matrix(bnds)) expect_type(bnds, "double") expect_equal(dim(bnds), c(2, np[p])) } # Era factors for all available periods eras <- list(first = 2001L, double = 2002L:2003L, final3 = 2018L:2020L, outside = 2022L) lvls <- c(1L, 4L, 4L, 12L, 36L, 365L) expect_error(cf$factor("month", "bad")) for (p in 1:6) { # year, season, quarter, month, dekad, day f <- cf$factor(CFt$factor_periods[p], eras) expect_type(f, "list") expect_equal(length(f), 4L) expect_equal(length(f$first), 7300L) expect_equal(attr(f$first, "period"), CFt$factor_periods[p]) expect_equal(attr(f$first, "era"), 1L) expect_null(attr(f$first, "zxcv")) if (p == 1L) { expect_equal(length(levels(f$first)), 1L) expect_equal(length(levels(f$double)), 2L) expect_equal(length(levels(f$final3)), 3L) expect_equal(length(levels(f$outside)), 0L) } else if (p %in% c(2L, 3L)) { expect_equal(length(levels(f$first)), 4L) expect_equal(length(levels(f$double)), 4L) expect_equal(length(levels(f$final3)), 4L) expect_equal(length(levels(f$outside)), 0L) } else { expect_equal(length(levels(f$first)), lvls[p]) expect_equal(length(levels(f$double)), lvls[p]) expect_equal(length(levels(f$final3)), lvls[p]) expect_equal(length(levels(f$outside)), 0L) } lapply(1:3, function(n) { t <- attr(f[[n]], "CFTime") expect_true(inherits(t, "CFClimatology")) expect_equal(t$years, matrix(c(2001, 2001, 2002, 2003, 2018, 2020), nrow = 2)[,n]) expect_equal(t$period, CFt$factor_periods[p]) }) expect_null(attr(f[[4]], "CFTime")) } # Single era value for all available periods for (p in 1:6) { # year, season, quarter, month, dekad, day f <- CFfactor(cf, CFt$factor_periods[p], 2002L) expect_s3_class(f, "factor") expect_equal(length(f), 7300L) expect_equal(length(levels(f)), lvls[p]) expect_equal(attr(f, "period"), CFt$factor_periods[p]) expect_equal(attr(f, "era"), 1L) expect_null(attr(f, "zxcv")) } # Units and coverage in factor levels expect_error(CFfactor_units("zxcv")) expect_error(CFfactor_units(cf, "zxcv")) expect_error((CFfactor_units(cf, list(12)))) expect_error((CFfactor_units(cf, factor(letters)))) expect_error((CFfactor_units(cf, list(factor(letters))))) f <- CFfactor(cf, "year") expect_true(all(CFfactor_units(cf, f) == 365L)) expect_true(all(CFfactor_coverage(cf, f, "absolute") == 365L)) expect_true(all(CFfactor_coverage(cf, f, "relative") == 1L)) f <- CFfactor(cf, "season") expect_equal(sum(CFfactor_units(cf, f)), 7390L) # 20 yrs * 365 plus 90 bc DJF season present on both ends expect_true(all(CFfactor_units(cf, f) %in% 90L:92L)) x <- CFfactor_coverage(cf, f, "absolute") expect_equal(x[1L], 59L) # Jan + Feb of first year expect_equal(x[81L], 31L) # Dec of last year expect_true(all(x[2L:80L] %in% 90L:92L)) x <- CFfactor_coverage(cf, f, "relative") expect_equal(x[1L] + x[81L], 1L) expect_true(all(x[2L:80L] == 1L)) f <- CFfactor(cf, "quarter") expect_equal(sum(CFfactor_units(cf, f)), 7300L) expect_true(all(CFfactor_units(cf, f) %in% 90L:92L)) x <- CFfactor_coverage(cf, f, "absolute") expect_equal(x[1L], 90L) expect_equal(x[80L], 92L) expect_true(all(x %in% 90L:92L)) x <- CFfactor_coverage(cf, f, "relative") expect_true(all(x == 1L)) f <- CFfactor(cf, "month") expect_equal(sum(CFfactor_units(cf, f)), 7300L) expect_true(all(CFfactor_coverage(cf, f, "absolute") == month_days)) expect_true(all(CFfactor_coverage(cf, f, "relative") == 1L)) f <- CFfactor(cf, "dekad") expect_equal(sum(CFfactor_units(cf, f)), 7300L) x <- CFfactor_coverage(cf, f, "absolute") expect_true(all(x == dekad_days)) expect_true(all(CFfactor_coverage(cf, f, "relative") == 1L)) f <- CFfactor(cf, "day") expect_equal(sum(CFfactor_units(cf, f)), 7300L) expect_true(all(CFfactor_coverage(cf, f, "absolute") == 1L)) expect_true(all(CFfactor_coverage(cf, f, "relative") == 1L)) # 360_day calendar cf360 <- CFtime("days since 2001-01-01", "360_day", 0:7199) f <- CFfactor(cf360, "month") expect_equal(sum(CFfactor_units(cf360, f)), 7200L) expect_true(all(CFfactor_coverage(cf360, f, "absolute") == 30L)) expect_true(all(CFfactor_coverage(cf360, f, "relative") == 1L)) # Units and coverage in factor levels with eras f <- CFfactor(cf, "year", eras) expect_true(all(unlist(CFfactor_units(cf, f)) == rep(365L, 6L))) expect_true(all(unlist(CFfactor_coverage(cf, f, "absolute")) == c(rep(365L, 6L), 0L))) expect_equal(sum(sapply(CFfactor_coverage(cf, f, "relative"), sum)), 3L) f <- CFfactor(cf, "season", eras) expect_true(all(sapply(CFfactor_units(cf, f), function(x) {all(x == c(90L, 92L, 92L, 91L))}))) x <- CFfactor_coverage(cf, f, "absolute") expect_equal(x$first[1L], 59L) # Jan + Feb of first year at beginning of time series expect_equal(x$double, c(180L, 184L, 184L, 182L)) # two full years expect_equal(x$final3, c(270L, 276L, 276L, 273L)) # three full years x <- unlist(CFfactor_coverage(cf, f, "relative")) expect_true(all(x[2L:12L] == 1L)) f <- CFfactor(cf, "quarter", eras) expect_true(all(sapply(CFfactor_units(cf, f), function(x) {all(x == c(90L, 91L, 92L, 92L))}))) x <- CFfactor_coverage(cf, f, "absolute") expect_equal(x$first[1L], 90L) expect_equal(x$double, c(180L, 182L, 184L, 184L)) # two full years expect_equal(x$final3, c(270L, 273L, 276L, 276L)) # three full years x <- unlist(CFfactor_coverage(cf, f, "relative")) expect_true(all(x[2L:12L] == 1L)) f <- CFfactor(cf, "month", eras) expect_true(all(sapply(CFfactor_units(cf, f), function(x) {all(x == month_days)}))) x <- CFfactor_coverage(cf, f, "absolute") expect_true(all(x$first == month_days)) expect_true(all(x$double == month_days * 2L)) expect_true(all(x$final3 == month_days * 3L)) expect_true(all(unlist(CFfactor_coverage(cf, f, "relative")) == 1L)) f <- CFfactor(cf, "dekad", eras) expect_true(all(sapply(CFfactor_units(cf, f), function(x) {all(x == dekad_days)}))) x <- CFfactor_coverage(cf, f, "absolute") expect_true(all(x$first == dekad_days)) expect_true(all(x$double == dekad_days * 2L)) expect_true(all(x$final3 == dekad_days * 3L)) expect_true(all(unlist(CFfactor_coverage(cf, f, "relative")) == 1L)) f <- CFfactor(cf, "day", eras) expect_true(all(unlist(CFfactor_units(cf, f)) == 1L)) x <- CFfactor_coverage(cf, f, "absolute") expect_true(all(x$first == 1L)) expect_true(all(x$double == 2L)) expect_true(all(x$final3 == 3L)) expect_true(all(unlist(CFfactor_coverage(cf, f, "relative")) == 1L)) # all_leap calendar cf366 <- CFtime("days since 2001-01-01", "all_leap", 0:7319) f <- CFfactor(cf366, "year", eras) expect_true(all(unlist(CFfactor_units(cf366, f)) == rep(366L, 6L))) expect_true(all(unlist(CFfactor_coverage(cf366, f, "absolute")) == c(rep(366L, 6L), 0L))) expect_equal(sum(sapply(CFfactor_coverage(cf366, f, "relative"), sum)), 3L) f <- CFfactor(cf366, "season", eras) expect_true(all(sapply(CFfactor_units(cf366, f), function(x) {all(x == c(91L, 92L, 92L, 91L))}))) x <- CFfactor_coverage(cf366, f, "absolute") expect_equal(x$first[1L], 60L) # Jan + Feb of first year at beginning of time series expect_equal(x$double, c(182L, 184L, 184L, 182L)) # two full years expect_equal(x$final3, c(273L, 276L, 276L, 273L)) # three full years x <- unlist(CFfactor_coverage(cf366, f, "relative")) #expect_equal(x[1], 60 / 90). # works in the console but not here expect_true(all(x[2L:12L] == 1L)) f <- CFfactor(cf366, "month", eras) expect_true(all(sapply(CFfactor_units(cf366, f), function(x) {all(x == leap_month_days)}))) x <- CFfactor_coverage(cf366, f, "absolute") expect_true(all(x$first == leap_month_days)) expect_true(all(x$double == leap_month_days * 2L)) expect_true(all(x$final3 == leap_month_days * 3L)) expect_true(all(unlist(CFfactor_coverage(cf366, f, "relative")) == 1L)) f <- CFfactor(cf366, "dekad", eras) expect_true(all(sapply(CFfactor_units(cf366, f), function(x) {all(x == leap_dekad_days)}))) x <- CFfactor_coverage(cf366, f, "absolute") expect_true(all(x$first == leap_dekad_days)) expect_true(all(x$double == leap_dekad_days * 2L)) expect_true(all(x$final3 == leap_dekad_days * 3L)) expect_true(all(unlist(CFfactor_coverage(cf366, f, "relative")) == 1L)) f <- CFfactor(cf366, "day", eras) expect_true(all(unlist(CFfactor_units(cf366, f)) == 1L)) x <- CFfactor_coverage(cf366, f, "absolute") expect_true(all(x$first == 1L)) expect_true(all(x$double == 2L)) expect_true(all(x$final3 == 3L)) expect_true(all(unlist(CFfactor_coverage(cf366, f, "relative")) == 1L)) # Factors on data not aligned by year t <- CFTime$new("days since 2020-07-01", "standard", 0:364) first <- c("2020", "2020S3", "2020Q3", "2020-07", "2020D19", "2020-07-01") last <- c("2021", "2021S3", "2021Q2", "2021-06", "2021D18", "2021-06-30") for (p in 1:6) { f <- t$factor(CFt$factor_periods[p]) expect_equal(as.character(f)[1L], first[p]) expect_equal(as.character(f)[365L], last[p]) } # Incomplete coverage n <- 365L * 20L cov <- 0.8 offsets <- sample(0L:(n-1L), n * cov) expect_warning(cf <- CFtime("days since 2020-01-01", "365_day", offsets)) f <- CFfactor(cf, "month") x <- CFfactor_coverage(cf, f, "absolute") expect_equal(sum(x), n * cov) x <- CFfactor_coverage(cf, f, "relative") expect_true((cov - 0.01) < mean(x) && mean(x) < (cov + 0.01)) }) test_that("cut() works", { cf <- CFtime("days since 2020-01-01", "360_day", 0:719) expect_error(cut("sfg")) expect_error(cut(cf)) expect_error(cut(cf, breaks = 5)) expect_error(cut(cf, "")) expect_error(cut(cf, "blah")) f <- cut(cf, "quarter") expect_equal(nlevels(f), 8) expect_equal(levels(f), c("2020Q1", "2020Q2", "2020Q3", "2020Q4", "2021Q1", "2021Q2", "2021Q3", "2021Q4")) f <- cut(cf, c("2021-01-01", "2020-04-03")) # out of order expect_s3_class(f, "factor") expect_equal(levels(f), "2020-04-03") f <- cut(cf, c("2020-01-01", "2020-06-17", "2021-01-01", "2021-04-12", "2401-01-01")) expect_equal(levels(f), c("2020-01-01", "2020-06-17", "2021-01-01", "2021-04-12")) }) CFtime/tests/testthat/test-parse_deparse.R0000644000176200001440000001514215076707740020360 0ustar liggesuserstest_that("timestamp string parsing to offsets and deparsing of offsets to timestamps", { # This test tests: global CFt* constants, CFtime(), parse_timestamps(), as_timestamp(): # decomposing offsets into timestamp elements, generating timestamp strings, # parsing timestamp strings back into timestamp elements, including negative # offsets. for (c in c("standard", "proleptic_gregorian", "julian", "tai", "360_day", "365_day", "366_day", "noleap", "all_leap")) { for (u in 1:4) { offsets <- -1000:1000 def <- paste(CFt$units$name[u], "since 1992-08-20") t <- CFtime(def, c, offsets) time <- t$cal$offsets2time(t$offsets) ts <- as_timestamp(t, "timestamp") cf2 <- CFtime(def, c) tp <- parse_timestamps(cf2, ts) expect_equal(tp, time) } } # Add no offsets, test return value t <- CFTime$new("days since 1992-08-20", "standard") res <- t$cal$offsets2time() expect_equal(nrow(res), 0L) t <- CFTime$new("days since 1992-08-20", "utc") res <- t$cal$offsets2time() expect_equal(nrow(res), 0L) }) test_that("testing calendars with leap years", { # This test tests that for standard, proleptic_gregorian, julian and tai # calendars in leap years before/on/after the leap day function as needed. # Also testing year 2000 and 2100 offsets. for (c in c("standard", "proleptic_gregorian", "tai", "julian")) { for (d in c("1996-01-15", "1996-02-29", "1996-04-01")) { def <- paste("days since", d) t <- CFtime(def, c, c(1:2500, 36501:39000)) time <- t$cal$offsets2time(t$offsets) ts <- as_timestamp(t, "timestamp") cf2 <- CFtime(def, c) tp <- parse_timestamps(cf2, ts) expect_equal(tp, time) } } }) # test_that("Testing milli-second timestamp string parsing to offsets and deparsing # of offsets to timestamps", { # # This test tests: global CFt* constants, CFtime(), parse_timestamps(), as_timestamp(): # # decomposing offsets into milli-second timestamp elements, generating # # timestamp strings, parsing timestamp strings back into timestamp elements. # for (c in c("standard", "proleptic_gregorian", "julian", "tai", "360_day", "365_day", "366_day", "noleap", "all_leap")) { # for (u in 1:2) { # offsets <- runif(10000, max = 10000) # def <- paste(CFt$units$name[u], "since 1978-08-20 07:34:12.2") # expect_warning(t <- CFtime(def, c, offsets)) # not ordered # time <- t$cal$offsets2time(t$offsets) # ts <- as_timestamp(t, "timestamp") # cf2 <- CFtime(def, c) # tp <- parse_timestamps(cf2, ts) # expect_equal(round(tp[c("second", "offset")], 2), round(time[c("second", "offset")], 2)) # } # } # }) test_that("Disallow parsing of timestamps on month and year calendar units", { for (c in c("standard", "proleptic_gregorian", "julian", "tai", "360_day", "365_day", "366_day", "noleap", "all_leap")) { for (u in 5:6) { def <- paste(CFt$units$name[u], "since 2020-01-01") t <- CFtime(def, c, 0:23) ts <- as_timestamp(t, "timestamp") expect_error(parse_timestamps(t, ts)) } } }) test_that("Gregorian/Julian calendar gap in the standard calendar", { t <- CFtime("days since 1582-10-01", "standard", 0:3) ts <- as_timestamp(t) expect_equal(ts[4], "1582-10-04") expect_false(t$cal$POSIX_compatible(0:3)) t <- t + 4:10 ts <- as_timestamp(t) expect_equal(ts[5], "1582-10-15") expect_equal(ts[11], "1582-10-21") expect_equal(parse_timestamps(t, c("1582-09-30", ts))$offset, -1:10) t <- CFtime("days since 1582-10-20", "standard", -10:0) ts <- as_timestamp(t) expect_equal(ts[5], "1582-10-04") expect_equal(ts[6], "1582-10-15") expect_false(t$POSIX_compatible()) # use t$offsets expect_true(t$cal$POSIX_compatible(0:100)) # use supplied offsets expect_true(t$cal$POSIX_compatible(-5:100)) expect_false(t$cal$POSIX_compatible(-6:100)) }) test_that("Leap seconds in the utc calendar work fine", { expect_error(CFtime("seconds since 1792-01-01", "utc")) # No UTC in 1792 t <- CFTime$new("seconds since 1972-06-30 23:59:57", "utc", 1:4) expect_equal(as_timestamp(t), c("1972-06-30T23:59:58", "1972-06-30T23:59:59", "1972-06-30T23:59:60", "1972-07-01T00:00:00")) expect_error(CFTime$new("seconds since 1973-06-30 23:59:60", "utc", -1:2)) # Bad leap second t <- CFTime$new("seconds since 1972-06-30 23:59:60", "utc", -1:2) expect_equal(as_timestamp(t), c("1972-06-30T23:59:59", "1972-06-30T23:59:60", "1972-07-01T00:00:00", "1972-07-01T00:00:01")) t <- CFTime$new("seconds since 2016-12-31 23:59:58", "utc", 1:4) expect_equal(as_timestamp(t), c("2016-12-31T23:59:59", "2016-12-31T23:59:60", "2017-01-01T00:00:00", "2017-01-01T00:00:01")) t <- CFTime$new("minutes since 2016-12-31 23:58:00", "utc", 1:4) expect_equal(as_timestamp(t), c("2016-12-31T23:59:00", "2016-12-31T23:59:60", "2017-01-01T00:00:59", "2017-01-01T00:01:59")) t <- CFTime$new("hours since 2016-12-31 22:00", "utc", 1:4) expect_equal(as_timestamp(t), c("2016-12-31T23:00:00", "2016-12-31T23:59:60", "2017-01-01T00:59:59", "2017-01-01T01:59:59")) t <- CFTime$new("days since 2016-12-30", "utc", 1:4) expect_equal(as_timestamp(t), c("2016-12-31T00:00:00", "2016-12-31T23:59:60", "2017-01-01T23:59:59", "2017-01-02T23:59:59")) }) test_that("Fractional time parts and replace Z timezone with offset", { offsets <- c("1980-05-06Z", "1980-05-06 12.32Z", "1980-05-06 12:54.38Z", "1980-05-06 12:54:12.32Z") res <- matrix(c(0.00, 0.00, 0.80, 0.32, 0.0000, 0.2000, 0.3800, 0.2053, 0.0000, 0.3200, 0.9063, 0.9034, 0.0000, 0.5133, 0.5378, 0.5376), ncol = 4) for (c in c("standard", "proleptic_gregorian", "julian", "tai", "360_day", "365_day", "366_day", "noleap", "all_leap")) { for (u in 1:4) { def <- paste(CFt$units$name[u], "since 1978-08-20") t <- CFtime(def, c) p <- t$cal$parse(offsets) expect_equal(round(p$offset %% 1, 4), res[,u]) expect_equal(p$tz, rep("+0000", 4)) } } offsets <- c("1980-05-06", "1980-05-06 12.32", "1980-05-06 12:54.38", "1980-05-06 12:54:12.32") res <- matrix(c(0.00, 0.00, 0.80, 0.32, 0.0333, 0.2333, 0.4133, 0.2387, 0.0006, 0.3206, 0.9069, 0.9040, 0.0000, 0.5134, 0.5378, 0.5377), ncol = 4) for (u in 1:4) { def <- paste(CFt$units$name[u], "since 1978-08-20") t <- CFtime(def, "utc") p <- t$cal$parse(offsets) expect_equal(round(p$offset %% 1, 4), res[,u]) } }) CFtime/tests/testthat/test-functions.R0000644000176200001440000000274115076704716017554 0ustar liggesuserstest_that("Various minor functions", { cf <- CFtime("days since 2001-01-01", "standard", 0:999) cf2 <- CFTime$new("days since 2000-01-01", "julian", 0:999) cf3 <- CFtime("days since 2001-01-01", "360_day", 0:999) cf4 <- CFtime("days since 2001-01-01", "365_day", 0:999) cf5 <- CFtime("days since 2001-01-01", "366_day", 0:999) cf6 <- CFtime("days since 2001-01-01", "proleptic_gregorian", 0:999) # Days in a month expect_error(month_days("1-2-3")) expect_equal(month_days(cf), c(31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31)) expect_equal(month_days(cf2), c(31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31)) expect_equal(month_days(cf3), rep(30, 12)) expect_equal(month_days(cf4), c(31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31)) expect_equal(month_days(cf5), c(31, 29, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31)) expect_equal(month_days(cf6), c(31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31)) expect_error(month_days(cf, 4)) expect_warning(month_days(cf, c("2001-01-01", "abc")), "^Some dates could not be parsed") x <- c("2021-11-27", "2021-12-10", "2022-02-14", "2022-02-18", "2024-02-03", "2100-02-02") expect_equal(month_days(cf, x), c(30, 31, 28, 28, 29, 28)) expect_equal(month_days(cf2, x), c(30, 31, 28, 28, 29, 29)) expect_equal(month_days(cf3, x), rep(30, 6)) expect_equal(month_days(cf4, x), c(30, 31, 28, 28, 28, 28)) expect_equal(month_days(cf5, x), c(30, 31, 29, 29, 29, 29)) expect_equal(month_days(cf6, x), c(30, 31, 28, 28, 29, 28)) }) CFtime/tests/testthat/test-CFtime.R0000644000176200001440000001556415052370517016712 0ustar liggesuserstest_that("test all variants of creating a CFtime object and useful functions", { # Call CFtime() without arguments expect_error(CFtime()) # Call CFtime() with an invalid definition expect_error(CFtime("foo")) expect_error(CFtime("zxcv since 1991-01-01")) expect_error(CFtime("days since -991-01-01")) # Call CFtime() with a valid definition and an invalid calendar expect_error(CFtime("days since 1991-01-01", "foo")) expect_equal(calendar(CFtime("days since 1991-01-01", NULL, NULL)), "standard") expect_equal(definition(CFtime("days since 1991-01-01", NULL, NULL)), "days since 1991-01-01") expect_equal(resolution(CFtime("days since 1991-01-01", NULL, NULL)), NA_real_) # Call CFtime() with a valid definition and calendar but faulty offsets expect_error(CFtime("days since 1991-01-01", "standard", c(0:10, NA))) expect_error(CFtime("days since 1991-01-01", "utc", c(0:10, NA))) # CFtime() with only a definition t <- CFtime("d per 1991-01-01") expect_equal(origin(t)[1:3], data.frame(year = 1991, month = 1, day = 1)) expect_equal(unit(t), "days") expect_equal(calendar(t), "standard") expect_equal(length(offsets(t)), 0L) # CFtime with only a definition and a calendar t <- CFtime("d per 1991-01-01", "julian") expect_match(capture_output(t$print()), "^CF calendar:") expect_match(capture_output(t$print()), "Elements: \\(no elements\\)\\n Bounds : \\(not set\\)$") expect_equal(origin(t)[1:3], data.frame(year = 1991, month = 1, day = 1)) expect_equal(unit(t), "days") expect_equal(calendar(t), "julian") expect_equal(length(offsets(t)), 0L) # CFtime with a single offset t <- t + 15 expect_equal(as_timestamp(t, "date"), "1991-01-16") expect_match(capture_output(t$print()), "Element : 1991-01-16 \\n Bounds : not set$") # Invalid offsets expect_error(CFtime("d per 1991-01-01", "julian", c(TRUE, FALSE, FALSE))) # Character offsets t <- CFtime("hours since 2023-01-01", "360_day", c("2023-01-01T00:00:00", "2023-04-30T23:00")) expect_equal(range(t, bounds = TRUE), c("2023-01-01T00:00:00", "2023-04-30T23:00:00")) # bounds have not been set expect_equal(length(as_timestamp(t, "timestamp")), 2) expect_warning(t <- CFtime("days since 2023-01-01", "366_day", c("2023-01-01", "2023-04-13", "2023-10-30", "2023-05-12"))) expect_equal(range(t), c("2023-01-01", "2023-10-30")) # Merge two CFtime instances / extend offsets t1 <- CFtime("hours since 2001-01-01", "360_day", 0:99) t2 <- CFtime("hours since 2001-01-01", "julian", 100:199) expect_false(t1 == t2) expect_error(t1 + t2) t2 <- CFtime("hours since 2001-01-01", "360_day", 100:199) expect_false(t1 == t2) expect_equal(length(offsets(t1 + t2)), 200) expect_equal(length(offsets(t1 + 100:199)), 200) t1 <- CFtime("days since 2022-01-01", "365_day", 0:364) t2 <- CFtime("days since 2023-01-01", "365_day", 0:364) expect_match(capture_output(t1$print()), "between 365 elements\\)\\n Bounds : not set$") expect_true(length(offsets(t1 + t2)) == 730) expect_true(all(range(diff(offsets(t1 + t2))) == c(1, 1))) expect_warning(t3 <- t2 + t1) expect_true(length(offsets(t3)) == 730) expect_false((range(diff(offsets(t3))) == c(1, 1))[1]) t2 <- t1 + c("2023-01-01", "2023-01-02") expect_match(capture_output(t1$print()), "between 365 elements\\)\\n Bounds : not set$") expect_equal(t2$resolution, 1) # Timezones expect_equal(timezone(t1), "+0000") expect_false(grepl("+0000", capture_output(t1$print()), fixed = TRUE)) t1 <- CFtime("days since 2022-01-01 00:00:00+04", "365_day", 0:364) expect_true(grepl("+0400", capture_output(t1$print()), fixed = TRUE)) # Time series completeness t <- CFtime("d per 1991-01-01", "julian") expect_error(is_complete("zxcv")) expect_true(is.na(is_complete(t))) expect_true(is_complete(t1)) mid_months <- c("1950-01-16T12:00:00", "1950-02-15T00:00:00", "1950-03-16T12:00:00", "1950-04-16T00:00:00", "1950-05-16T12:00:00", "1950-06-16T00:00:00", "1950-07-16T12:00:00", "1950-08-16T12:00:00", "1950-09-16T00:00:00", "1950-10-16T12:00:00", "1950-11-16T00:00:00", "1950-12-16T12:00:00") t <- CFtime("days since 1950-01-01", "standard", mid_months) expect_true(is_complete(t)) ty <- CFtime("years since 2020-01-01", "standard", 0:19) expect_true(is_complete(ty)) ty <- ty + 30:39 expect_false(is_complete(ty)) # Range t <- CFtime("days since 2001-01-01") expect_equal(range(t), c(NA_character_, NA_character_)) t <- t + 0:1 expect_error(range(t, 123)) expect_error(range(t, c("asd %d", "%F"))) expect_equal(range(t, "%Y-%B-%Od"), c("2001-January-01", "2001-January-02")) # Range on unsorted offsets random <- runif(100, min = 1, max = 99) expect_warning(t <- CFtime("days since 2001-01-01", offsets = c(0, random[1:50], 100, random[51:100]))) expect_equal(range(t), c("2001-01-01", paste0(as.Date("2001-01-01") + 100))) # Subsetting t <- CFtime("hours since 2023-01-01 00:00:00", "standard", 0:239) expect_error(slice("zxcv")) expect_true(all(slice(t, c("2023-01-01", "2023-02-01")))) expect_true(length(which(slice(t, c("2023-01-01", "2023-01-01")))) == 1) # Identical extremes expect_true(length(which(slice(t, c("2023-01-01", "2023-05-01")))) == 240) expect_true(length(which(slice(t, c("2023-01-01 00:00", "2023-01-01 04:00")))) == 4) expect_true(length(which(slice(t, c("2023-01-01 04:00", "2023-01-01 00:00")))) == 4) # extremes in reverse order expect_true(slice(t, c("2022-01-01", "2023-01-02"))[1]) # early extreme before timeseries expect_true(all(!slice(t, c("2023-02-01", "2023-03-01")))) # both extremes outside time series expect_equal(sum(slice(t, c("2023-01-01 00:00", "2023-01-01 04:00", "2023-01-02 00:00"))), 24) t_slice <- slice(t, c("2023-01-01 00:00", "2023-01-01 04:00", "2023-01-02 00:00"), TRUE) expect_equal(sum(t_slice), 25) new_t <- attr(t_slice, "CFTime") expect_identical(new_t, t_sub <- t$subset(1:25)) expect_identical(t_sub, t_sub$copy()) t$bounds <- TRUE s <- t$slice(c("2023-01-01", "2023-05-01")) st <- attr(s, "CFTime") expect_equal(st$bounds, t$bounds) }) test_that("Leap years on some calendars", { t <- CFTime$new("days since 2025-01-01", "360_day") expect_true(all(!t$cal$leap_year(c(2000:2025)))) t <- CFTime$new("days since 2025-01-01", "366_day") expect_true(all(t$cal$leap_year(c(2000:2025)))) }) test_that("Calendar 'none'", { t <- CFTime$new("days since 2025-01-01", "none") expect_true(inherits(t$cal, "CFCalendarNone")) t <- t + 0:4 ymd <- data.frame(year = c(rep(2025, 5), NA), month = c(rep(1, 5), NA), day = c(1, 1, 1, 2, 3, NA)) expect_equal(t$cal$valid_days(ymd), c(T, T, T, F, F, NA)) expect_equal(t$cal$month_days(), rep(NA, 12)) expect_equal(t$cal$month_days(ymd), rep(NA, 6)) expect_equal(t$cal$leap_year(ymd$year), rep(NA, 6)) expect_equal(t$cal$date2offset(ymd), c(0, 0, 0, 0, 0, NA)) expect_equal(t$cal$offset2date(1:5), data.frame(year = rep(2025, 5), month = rep(1, 5), day = rep(1, 5))) }) CFtime/tests/testthat.R0000644000176200001440000000061014463144520014546 0ustar liggesusers# This file is part of the standard setup for testthat. # 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Validity is from 1972 onwards, with dates represented using #' the Gregorian calendar, up to the present (so future timestamps are not #' allowed). Leap seconds are considered in all calculations. Also, time zone #' information is irrelevant and may not be given. #' #' In general, the calendar should use a unit of time of a second. Minute, #' hour and day are allowed but discouraged. Month and year as time unit are #' not allowed as there is no practical way to maintain leap second accuracy. #' #' @aliases CFCalendarUTC #' @docType class CFCalendarUTC <- R6::R6Class("CFCalendarUTC", inherit = CFCalendarProleptic, private = list( # Leap days in various incarnations. More will be added in initialize(). leapdays = data.frame( year = c(1972L, 1972L, 1973L, 1974L, 1975L, 1976L, 1977L, 1978L, 1979L, 1981L, 1982L, 1983L, 1985L, 1987L, 1989L, 1990L, 1992L, 1993L, 1994L, 1995L, 1997L, 1998L, 2005L, 2008L, 2012L, 2015L, 2016L), month = c(6L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 6L, 6L, 6L, 6L, 12L, 12L, 12L, 6L, 6L, 6L, 12L, 6L, 12L, 12L, 12L, 6L, 6L, 12L), day = c(30L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 30L, 30L, 30L, 30L, 31L, 31L, 31L, 30L, 30L, 30L, 31L, 30L, 31L, 31L, 31L, 30L, 30L, 31L), compound = c(19720630L, 19721231L, 19731231L, 19741231L, 19751231L, 19761231L, 19771231L, 19781231L, 19791231L, 19810630L, 19820630L, 19830630L, 19850630L, 19871231L, 19891231L, 19901231L, 19920630L, 19930630L, 19940630L, 19951231L, 19970630L, 19981231L, 20051231L, 20081231L, 20120630L, 20150630L, 20161231L), epochdays = c(182L, 366L, 731L, 1096L, 1461L, 1827L, 2192L, 2557L, 2922L, 3469L, 3834L, 4199L, 4930L, 5844L, 6575L, 6940L, 7487L, 7852L, 8217L, 8766L, 9313L, 9862L, 12419L, 13515L, 14792L, 15887L, 16437L) ), # Offset of the epoch from the origin, in calendar units. Set in initialize(). epoch = 0, # Rata Die of the epoch. epoch_rd = 719893L, # Number of leap seconds applied to the origin of self. Set in initialize(). origin_leapsecs = 0L, # Check if rows in a data.frame with seconds >= 60 are days when a leap # second was applied. Argument `cap` comes from method parse(). If not, # values in that row are set to `NA`. check_leap_seconds = function(cap) { # There will always be at least one row with 60 seconds or this method # would not be called leap_ndx <- which(cap$second >= 60) tst <- cap[leap_ndx, ] not2359 <- tst$hour != 23L | tst$minute != 59L tst <- tst$year * 10000L + tst$month * 100L + tst$day bad <- !(tst %in% private$leapdays$compound) cap[leap_ndx[bad | not2359], ] <- rep(NA, 7) cap } ), public = list( #' @description Create a new CF UTC calendar. #' @param nm The name of the calendar. This must be "utc". #' @param definition The string that defines the units and the origin, as #' per the CF Metadata Conventions. initialize = function(nm, definition) { super$initialize(nm, definition) if (self$unit > 4L) stop("Unit for an UTC calendar cannot be 'month' or 'year'.", call. = FALSE) # nocov # How many leap seconds have been applied to the origin? private$origin_leapsecs <- findInterval(self$origin$year * 10000L + self$origin$month * 100L + self$origin$day, private$leapdays$compound, left.open = TRUE) # Offset of the epoch from the origin private$epoch <- self$parse("1972-01-01")$offset # Add offsets in self calendar units of the leap seconds leapdates <- as.Date(paste(private$leapdays$year, private$leapdays$month, private$leapdays$day, sep = "-")) private$leapdays$seconds <- as.integer(c(unclass(difftime(leapdates, as.Date("1972-01-01"), units = "secs"))) + CFt$units$per_day[1L] + (1:27)) }, #' @description Indicate which of the supplied dates are valid. #' @param ymd `data.frame` with dates parsed into their parts in columns #' `year`, `month` and `day`. Any other columns are disregarded. #' @return Logical vector with the same length as argument `ymd` has rows #' with `TRUE` for valid days and `FALSE` for invalid days, or `NA` where #' the row in argument `ymd` has `NA` values. valid_days = function(ymd) { nw <- as.POSIXct(Sys.Date(), tz = "UTC") yr <- as.integer(substr(nw, 1, 4)) mon <- as.integer(substr(nw, 6, 7)) dt <- as.integer(substr(nw, 9, 10)) super$valid_days(ymd) & ymd$year >= 1972L & (ymd$year < yr | (ymd$year == yr & (ymd$month < mon | (ymd$month == mon & ymd$day <= dt)))) }, #' @description Parsing a vector of date-time character strings into parts. #' This includes any leap seconds. Time zone indications are not allowed. #' @param d character. A character vector of date-times. #' @return A `data.frame` with columns year, month, day, hour, minute, #' second, time zone, and offset. Invalid input data will appear as `NA`. #' Note that the time zone is always "+0000" and is included to maintain #' compatibility with results from other calendars. parse = function(d) { # Parsers # These parsers are specific to UTC, i.e. starting in 1972 and up to the # current year, and a possible leap second as value 60. # UDUNITS broken timestamp definition, with some changes # broken_timestamp {broken_date}({space|T}+{broken_clock})? -- T not in definition but present in lexer code # broken_date {year}-{month}(-{day})? # year [+-]?[0-9]{1,4} # month 0?[1-9]|1[0-2] # day 0?[1-9]|[1-2][0-9]|30|31 # broken_clock {hour}:{minute}(:{second})? # hour [0-1]?[0-9]|2[0-3] -- sign on hour not allowed # minute [0-5]?[0-9] # second 60|{minute}? # fractional part (\.[0-9]*)? broken <- paste0( "^", # anchor string at start "([+-]?[0-9]{1,4})", # year, with optional sign "-(0?[1-9]|1[012])", # month "(?:-(0?[1-9]|[12][0-9]|3[01]))?", # day, optional "(?:[T ]", # if a time is following, separate with a single whitespace character or a "T" "([01]?[0-9]|2[0-3])", # hour ":([0-5]?[0-9])", # minute "(?::([0-6]?[0-9]))?", # second, optional "(?:\\.([0-9]*))?", # optional fractional part of the smallest specified unit ")?", # close optional time capture group "(?:\\s", # if a time zone offset is following, separate with a single whitespace character "([+-])?([01]?[0-9]|2[0-3])", # tz hour, with optional sign "(?::(00|15|30|45))?", # optional tz minute, only 4 possible values ")?", # close optional timezone capture group "$" # anchor string at end ) iso8601 <- paste0( "^", "([0-9]{4})", "-(0[1-9]|1[012])", "-(0[1-9]|[12][0-9]|3[01])?", "(?:", "[T ]([01][0-9]|2[0-3])", "(?::([0-5][0-9]))?", "(?::([0-6][0-9]))?", "(?:[\\.,]([0-9]*))?", ")?", "(?:([Z+-])([01][0-9]|2[0-3])?(?::(00|15|30|45))?", ## FIXME: Z?, smaller number of captures ")?$" ) # UDUNITS packed timestamp definition - NOT YET USED # packed_timestamp {packed_date}({space|T}+{packed_clock})? -- T and space only allowed in packed time follows # packed_date {year}({month}{day}?)? -- must be YYYYMMDD or else format is ambiguous, as per lexer code # packed_clock {hour}({minute}{second}?)? -- must be HHMMSS to be unambiguous # packed <- stringi::stri_join( # "^", # anchor string at start # "([+-]?[0-9]{4})", # year, with optional sign # "(0[1-9]|1[012])?", # month, optional # "(0[1-9]|[12][0-9]|3[01])?", # day, optional # "(?:[T,\\s]", # if a time is following, separate with a single whitespace character or a "T" # "([01][0-9]|2[0-3])?", # hour # "([0-5][0-9])?", # minute, optional # "([0-5]?[0-9](?:\\.[0-9]*)?)?", # second, optional, with optional fractional part # ")?", # close optional time capture group # "$" # anchor string at end # ) parse <- data.frame(year = integer(), month = integer(), day = integer(), hour = integer(), minute = integer(), second = numeric(), frac = character(), tz_sign = character(), tz_hour = character(), tz_min = character()) cap <- utils::strcapture(iso8601, d, parse) missing <- which(is.na(cap$year)) if (length(missing) > 0L) cap[missing,] <- utils::strcapture(broken, d[missing], parse) # Assign any fraction to the appropriate time part cap$frac[is.na(cap$frac)] <- "0" frac <- as.numeric(paste0("0.", cap$frac)) if (sum(frac) > 0) { ndx <- which(!(is.na(cap$second)) & frac > 0) if (length(ndx) > 0L) cap$second[ndx] <- cap$second[ndx] + frac[ndx] ndx <- which(!(is.na(cap$minute)) & is.na(cap$second) & frac > 0) if (length(ndx) > 0L) cap$second[ndx] <- 60L * frac[ndx] ndx <- which(!(is.na(cap$hour)) & is.na(cap$minute) & frac > 0) if (length(ndx) > 0L) { secs <- 3600 * frac cap$minute[ndx] <- secs[ndx] %/% 60 cap$second[ndx] <- secs[ndx] %% 60 } } cap$frac <- NULL # Convert NA time parts to 0 - in CF default time is 00:00:00 when not specified cap$hour[is.na(cap$hour)] <- 0L cap$minute[is.na(cap$minute)] <- 0L cap$second[is.na(cap$second)] <- 0L # Set timezone to 00:00 to align cap data.frame with other calendars cap$tz_sign <- cap$tz_hour <- cap$tz_min <- NULL cap$tz <- "+0000" # Set optional date parts to 1 if not specified cap$month[is.na(cap$month)] <- 1L cap$day[is.na(cap$day)] <- 1L # Check date validity invalid <- !self$valid_days(cap) invalid[is.na(invalid)] <- TRUE if (sum(invalid) > 0L) cap[invalid,] <- rep(NA, 7) # Check that any supplied leap seconds coincide with official leap seconds if (any(cap$second >= 60, na.rm = TRUE)) cap <- private$check_leap_seconds(cap) # Calculate offsets if (nrow(self$origin) == 0L) { # if there's no origin yet, don't calculate offsets cap$offset <- rep(0, nrow(cap)) # this happens, f.i., when a CFCalendar is created } else { days <- self$date2offset(cap) chkdays <- cap$year * 10000L + cap$month * 100L + cap$day leapsecs <- findInterval(chkdays, private$leapdays$compound, left.open = TRUE) - private$origin_leapsecs cap$offset <- round((days * 86400 + (cap$hour - self$origin$hour[1]) * 3600 + (cap$minute - self$origin$minute[1]) * 60 + cap$second - self$origin$second + leapsecs) / CFt$units$seconds[self$unit], 9) } cap }, #' @description Decompose a vector of offsets, in units of the calendar, to #' their timestamp values. This adds a specified amount of time to the #' origin of a `CFTime` object. #' @param offsets Vector of numeric offsets to add to the origin of the #' calendar. #' @return A `data.frame` with columns for the timestamp elements and as #' many rows as there are offsets. offsets2time = function(offsets = NULL) { if(is.null(offsets) || (len <- length(offsets)) == 0L) return(data.frame(year = integer(), month = integer(), day = integer(), hour = integer(), minute = integer(), second = numeric(), tz = character(), offset = numeric())) # Base offsets on epoch, in seconds off <- (offsets - private$epoch) * CFt$units$seconds[self$unit] ndx <- findInterval(off, private$leapdays$seconds) remainder <- off - ifelse(ndx > 0L, private$leapdays$seconds[ndx], 0L) secs <- mins <- hrs <- days <- vector("numeric", len) frac <- rep(0, len) leap <- ndx < 27L & round(private$leapdays$seconds[ndx + 1L] - off, 5) <= 1L if (sum(leap) > 0L) { secs[leap] <- 60 mins[leap] <- 59 hrs[leap] <- 23 days[leap] <- ifelse(ndx[leap] == 0L, private$leapdays$epochdays[1L], private$leapdays$epochdays[ndx + 1L] - private$leapdays$epochdays[ndx]) - 1L } not_leap <- !leap if (sum(not_leap) > 0L) { # Convert remainder to time parts, no leap seconds anymore days[not_leap] <- remainder[not_leap] %/% 86400L # overflow days secs[not_leap] <- round(remainder[not_leap] %% 86400L, 3L) # round down to milli-seconds to avoid errors #frac[not_leap] <- secs[not_leap] %% 1 #secs[not_leap] <- secs[not_leap] %/% 1 # Time elements for output hrs[not_leap] <- secs[not_leap] %/% 3600L mins[not_leap] <- (secs[not_leap] %% 3600L) %/% 60L secs[not_leap] <- secs[not_leap] %% 60L } # Now add days using the calendar epoch_days <- ifelse(ndx > 0L, private$leapdays$epochdays[ndx], 0L) out <- if (any(days != 0L)) .gregorian_offset2date(as.integer(days) + private$epoch_rd + epoch_days) else data.frame(year = rep(self$origin$year, len), month = rep(self$origin$month, len), day = rep(self$origin$day, len)) # Put it all back together again out$hour <- as.integer(hrs) out$minute <- as.integer(mins) out$second <- secs #if (sum(frac) > 0) # out$second <- out$second + frac out$tz <- rep("+0000", len) out$offset <- offsets out } ) ) CFtime/R/CFCalendarNone.R0000644000176200001440000000767415052370514014527 0ustar liggesusers#' @title CF calendar with no annual cycle #' #' @description This class represents a CF calendar with no annual cycle. All #' datetimes in the calendar are the same. This is useful only for repeated #' experiments simulating a fixed time in the year. #' #' @docType class CFCalendarNone <- R6::R6Class("CFCalendarNone", inherit = CFCalendar, public = list( #' @description Create a new CF calendar. #' @param nm The name of the calendar. This must be "none". This argument #' is superfluous but maintained to be consistent with the initialization #' methods of the parent and sibling classes. #' @param definition The string that defines the units and the origin, as #' per the CF Metadata Conventions. #' @return A new instance of this class. initialize = function(nm, definition) { super$initialize(nm, definition) }, #' @description Indicate which of the supplied dates are valid. In this #' calendar only one date is valid, namely the one that the calendar is #' initialized with. #' @param ymd `data.frame` with dates parsed into their parts in columns #' `year`, `month` and `day`. Any other columns are disregarded. #' @return Logical vector with the same length as argument `ymd` has rows #' with `TRUE` for valid days and `FALSE` for invalid days, or `NA` where #' the row in argument `ymd` has `NA` values. valid_days = function(ymd) { if (!nrow(self$origin)) TRUE else ymd$year == self$origin$year & ymd$month == self$origin$month & ymd$day == self$origin$day }, #' @description Determine the number of days in the month of the calendar. #' This always returns a vector of `NA` values because this method has no #' meaning for this class. #' @param ymd `data.frame` with dates parsed into their parts in columns #' `year`, `month` and `day`. Any other columns are disregarded. #' @return A vector with `NA` values for the dates supplied as argument #' `ymd`. If no dates are supplied, a vector of `NA` values of length 12. month_days = function(ymd = NULL) { if (is.null(ymd)) rep(NA, 12L) else rep(NA, nrow(ymd)) }, #' @description Indicate which years are leap years. This always returns a #' vector of `NA` values because this method has no meaning for this #' class. #' @param yr Integer vector of years to test. #' @return Vector with the same length as argument `yr` with `NA` values. leap_year = function(yr) { rep(NA, length(yr)) }, #' @description Calculate difference in days between a `data.frame` of time #' parts and the origin. The difference is always 0, given that #' this is not a true calendar and there can be no calculations to #' determine any difference. #' @param x `data.frame`. Dates to calculate the difference for. #' @return Integer vector of a length equal to the number of rows in #' argument `x` indicating 0 for the days that equal the origin #' of the calendar, or `NA` otherwise. date2offset = function(x) { res <- rep(0L, nrow(x)) res[which(is.na(x$year))] <- NA_integer_ res }, #' @description Calculate date parts from day differences from the origin. #' This always returns 0's for the year, month and day as other values are #' not valid in this calendar. Hour-minute-second datetime parts are #' handled in [CFCalendar]. #' @param x Integer vector of days to add to the origin. #' @return A `data.frame` with columns 'year', 'month' and 'day' and as many #' rows as the length of vector `x`. Rows with values of `x` other than 0 #' will return the values for the origin of the calendar nonetheless, in #' accordance with the CF Metadata Conventions. offset2date = function(x) { len <- length(x) data.frame(year = rep(self$origin$year, len), month = rep(self$origin$month, len), day = rep(self$origin$day, len)) } ) ) CFtime/R/CFClimatology.R0000644000176200001440000001071215052155514014445 0ustar liggesusers#' @title CFClimatology class #' #' @description This class represents a climatological time coordinate, both its #' "calendar" and its "climatology" bounds values. #' #' The "calendar" portion is managed by the [CFTime] class, from which this #' class is inherited. This class implements the specific behaviour of the #' climatological bounds values and includes methods to query the structure of #' the climatological data. #' #' @export #' @references #' https://cfconventions.org/Data/cf-conventions/cf-conventions-1.12/cf-conventions.html#climatological-statistics #' @docType class CFClimatology <- R6::R6Class("CFClimatology", inherit = CFTime, private = list( # The base period over which the climatology is calculated. This must be # one of "year", "season", "quarter", "month", "dekad" or "day". Set in # `initialize()`. .period = "", # The years over which the climatology is calculated. Set in `initialize()`. .years = NA ), public = list( #' @description Create a new instance of this class. #' @param definition Character string of the units and origin of the #' calendar. #' @param calendar Character string of the calendar to use. Must be one of #' the values permitted by the CF Metadata Conventions. If `NULL`, the #' "standard" calendar will be used. #' @param offsets Numeric or character vector. When numeric, a vector of #' offsets from the origin in the time series. When a character vector of #' length 2 or more, timestamps in ISO8601 or UDUNITS format. #' @param bounds The climatological bounds for the offsets. A `matrix` with #' columns for `offsets` and low values in the first row, high values in #' the second row. The bounds will oftentimes overlap or be discontinuous. initialize = function(definition, calendar = "standard", offsets, bounds) { if (!is.matrix(bounds) || !all(dim(bounds) == c(2, length(offsets)))) stop("Argument 'bounds' must be a matrix with two rows and as many columns as the length of argument 'offset'", call. = FALSE) super$initialize(definition, calendar, offsets) self$set_bounds(bounds) # Determine period and years from the bounds of the first offset time <- self$cal$offsets2time(bounds[1L:2L, 1L]) private$.years <- time$year if (all(time$day == 1L)) { if (all(time$month == 1L)) { private$.period <- "year" private$.years <- c(time$year[1L], time$year[2L] - 1L) } else if (all(time$month %in% c(3L, 6L, 9L, 12L))) { private$.period <- "season" private$.years <- c(time$year[1L] + 1L, time$year[2L]) } else if (all(time$month %in% c(1L, 4L, 7L, 10L))) private$.period <- "quarter" else private$.period <- "month" } else if (all(time$day %in% c(1L, 11L, 21L))) private$.period <- "dekad" else private$.period <- "day" }, #' @description Print a summary of the `CFClimatology` object to the console. #' @param ... Ignored. #' @return `self` invisibly. print = function(...) { noff <- length(self$offsets) d <- self$range() el <- if (noff > 1L) { sprintf(" Elements: [%s .. %s] (average of %f %s between %d elements)\n", d[1L], d[2L], self$resolution, CFt$units$name[self$cal$unit], noff) } else paste0(" Elements: ", d[1L], "\n") p <- paste0(" Period : ", private$.period, "\n") if (private$.years[1L] == private$.years[2L]) y <- paste0(" Year : ", private$.years[1L], "\n") else y <- paste0(" Years : ", private$.years[1L], " - ", private$.years[2L], " (inclusive)\n") cal <- capture.output(self$cal$print()) cat(paste(cal, collapse = "\n"), "\nClimatological time series:\n", el, p, y, sep = "") invisible(self) } ), active = list( #' @field period (read-only) Character string indicating the period during #' the year over which the climatology was calculated. period = function(value) { if (missing(value)) private$.period }, #' @field years (read-only) Vector of two integer values indicating the #' years over which the climatology was calculated. years = function(value) { if (missing(value)) private$.years }, #' @field friendlyClassName Character string with class name for display #' purposes. friendlyClassName = function(value) { if (missing(value)) "CFClimatology" } ) ) CFtime/R/helpers.R0000644000176200001440000001673315052015174013421 0ustar liggesusers# Internal functions # # The functions in this source file are for internal use only. # ============================================================================== # Offsets and timestamp formatting #' Validate offsets passed into a CFTime instance #' #' Tests the `offsets` values. Throws an error if the argument contains `NA` values. #' #' @param offsets The offsets to test #' #' @returns logical. `TRUE` if the offsets are valid, throws an error otherwise. #' @noRd .validOffsets <- function(offsets) { if (any(is.na(offsets))) stop("Offsets cannot contain `NA` values.", call. = FALSE) TRUE } #' Formatting of time strings from time elements #' #' This is an internal function that should not generally be used outside of #' the CFtime package. #' #' @param t A `data.frame` representing timestamps. #' #' @returns A vector of character strings with a properly formatted time. If any #' timestamp has a fractional second part, then all time strings will report #' seconds at milli-second precision. #' @noRd .format_time <- function(t) { fsec <- t$second %% 1L if (any(fsec > 0L)) { paste0(sprintf("%02d:%02d:", t$hour, t$minute), ifelse(t$second < 10, "0", ""), sprintf("%.3f", t$second)) } else { sprintf("%02d:%02d:%02d", t$hour, t$minute, t$second) } } #' Do the time elements have time-of-day information? #' #' If any time information > 0, then `TRUE` otherwise `FALSE`. #' #' This is an internal function that should not generally be used outside of #' the CFtime package. #' #' @param t A `data.frame` representing timestamps. #' #' @returns `TRUE` if any timestamp has time-of-day information, `FALSE` otherwise. #' @noRd .has_time <- function(t) { any(t$hour > 0) || any(t$minute > 0) || any(t$second > 0) } #' Do formatting of timestamps with format specifiers #' #' @param ts `data.frame` of decomposed offsets. #' @param tz Time zone character string. #' @param format A character string with the format specifiers, or #' "date" or "timestamp". #' @returns Character vector of formatted timestamps. #' @noRd .format_format <- function(ts, tz, format) { if (format == "") format <- "timestamp" if (format == "timestamp" && sum(ts$hour, ts$minute, ts$second) == 0) format <- "date" if (format == "date") return(sprintf("%04d-%02d-%02d", ts$year, ts$month, ts$day)) else if (format == "timestamp") return(sprintf("%04d-%02d-%02dT%s", ts$year, ts$month, ts$day, .format_time(ts))) # Expand any composite specifiers format <- stringr::str_replace_all(format, c("%F" = "%Y-%m-%d", "%R" = "%H:%M", "%T" = "%H:%M:%S")) # Splice in timestamp values for specifiers # nocov start if (grepl("%b|%h", format[1])) { mon <- strftime(ISOdatetime(2024, 1:12, 1, 0, 0, 0), "%b") format <- stringr::str_replace_all(format, "%b|%h", mon[ts$month]) } if (grepl("%B", format[1])) { mon <- strftime(ISOdatetime(2024, 1:12, 1, 0, 0, 0), "%B") format <- stringr::str_replace_all(format, "%B", mon[ts$month]) } # nocov end format <- stringr::str_replace_all(format, "%[O]?d", sprintf("%02d", ts$day)) format <- stringr::str_replace_all(format, "%e", sprintf("%2d", ts$day)) format <- stringr::str_replace_all(format, "%[O]?H", sprintf("%02d", ts$hour)) format <- stringr::str_replace_all(format, "%[O]?I", sprintf("%02d", ts$hour %% 12)) format <- stringr::str_replace_all(format, "%[O]?m", sprintf("%02d", ts$month)) format <- stringr::str_replace_all(format, "%[O]?M", sprintf("%02d", ts$minute)) format <- stringr::str_replace_all(format, "%p", ifelse(ts$hour < 12, "AM", "PM")) format <- stringr::str_replace_all(format, "%S", sprintf("%02d", as.integer(ts$second))) format <- stringr::str_replace_all(format, "%[E]?Y", sprintf("%04d", ts$year)) format <- stringr::str_replace_all(format, "%z", tz) format <- stringr::str_replace_all(format, "%%", "%") format } # ============================================================================== # Other internal functions #' Calculate time units in factors #' #' @param f factor. Factor as generated by `CFfactor()`. #' @param cal `CFCalendar` instance of the `CFTime` instance. #' @param upd numeric. Number of units per day, from the `CFt` environment. #' @returns A vector as long as the number of levels in the factor. #' @noRd .factor_units <- function(f, cal, upd) { period <- attr(f, "period") cal_class <- class(cal)[1L] res <- if (period == "day") rep(1L, nlevels(f)) else if (cal_class == "CFCalendar360") { rep(c(360L, 90L, 90L, 30L, 10L, 1L)[which(CFt$factor_periods == period)], nlevels(f)) } else { if (attr(f, "era") > 0L) { if (cal_class == "CFCalendar366") { switch(period, "year" = rep(366L, nlevels(f)), "season" = c(91L, 92L, 92L, 91L)[as.integer(substr(levels(f), 2, 2))], "quarter" = c(91L, 91L, 92L, 92L)[as.integer(levels(f))], "month" = c(31L, 29L, 31L, 30L, 31L, 30L, 31L, 31L, 30L, 31L, 30L, 31L)[as.integer(levels(f))], "dekad" = { dk <- as.integer(substr(levels(f), 2L, 3L)) ifelse(dk %% 3L > 0L | dk %in% c(12L, 18L, 27L, 33L), 10L, ifelse(dk %in% c(3L, 9L, 15L, 21L, 24L, 30L, 36L), 11L, 9L)) } ) } else { switch(period, "year" = rep(365L, nlevels(f)), "season" = c(90L, 92L, 92L, 91L)[as.integer(substr(levels(f), 2, 2))], "quarter" = c(90L, 91L, 92L, 92L)[as.integer(substr(levels(f), 2, 2))], "month" = c(31L, 28L, 31L, 30L, 31L, 30L, 31L, 31L, 30L, 31L, 30L, 31L)[as.integer(levels(f))], "dekad" = { dk <- as.integer(substr(levels(f), 2L, 3L)) ifelse(dk %% 3L > 0L | dk %in% c(12L, 18L, 27L, 33L), 10L, ifelse(dk %in% c(3L, 9L, 15L, 21L, 24L, 30L, 36L), 11L, 8L)) } ) } } else { # not an era factor switch(period, "year" = ifelse(cal$leap_year(as.integer(levels(f))), 366L, 365L), "season" = { year <- as.integer(substr(levels(f), 1L, 4L)) season <- as.integer(substr(levels(f), 6L, 6L)) ifelse(cal$leap_year(year), c(91L, 92L, 92L, 91L)[season], c(90L, 92L, 92L, 91L)[season]) }, "quarter" = { year <- as.integer(substr(levels(f), 1L, 4L)) qtr <- as.integer(substr(levels(f), 6L, 6L)) ifelse(cal$leap_year(year), c(91L, 91L, 92L, 92L)[qtr], c(90L, 91L, 92L, 92L)[qtr]) }, "month" = { year <- as.integer(substr(levels(f), 1L, 4L)) month <- as.integer(substr(levels(f), 6L, 7L)) ifelse(cal$leap_year(year), c(31L, 29L, 31L, 30L, 31L, 30L, 31L, 31L, 30L, 31L, 30L, 31L)[month], c(31L, 28L, 31L, 30L, 31L, 30L, 31L, 31L, 30L, 31L, 30L, 31L)[month]) }, "dekad" = { year <- as.integer(substr(levels(f), 1L, 4L)) dk <- as.integer(substr(levels(f), 6L, 7L)) ifelse(dk %% 3L > 0L | dk %in% c(12L, 18L, 27L, 33L), 10L, ifelse(dk %in% c(3L, 9L, 15L, 21L, 24L, 30L, 36L), 11L, ifelse(cal$leap_year(year), 9L, 8L))) } ) } } res * upd } # ===================== # Others #' Round values `x` with .5 being rounded up. #' Adapted from https://stackoverflow.com/a/12688836/3304426 #' @noRd .round = function(x) { posneg = sign(x) z = trunc(abs(x) + 0.5 + CFt$eps) z*posneg } CFtime/R/CFCalendarTAI.R0000644000176200001440000000217414732045567014246 0ustar liggesusers#' @title International Atomic Time CF calendar #' #' @description This class represents a calendar based on the International #' Atomic Time. Validity is from 1958 onwards, with dates represented using #' the Gregorian calendar. Given that this "calendar" is based on a universal #' clock, the concepts of leap second, time zone and daylight savings time do #' not apply. #' #' @aliases CFCalendarTAI #' @docType class CFCalendarTAI <- R6::R6Class("CFCalendarTAI", inherit = CFCalendarProleptic, public = list( #' @description Indicate which of the supplied dates are valid. #' @param ymd `data.frame` with dates parsed into their parts in columns #' `year`, `month` and `day`. If present, the `tz` column is checked for #' illegal time zone offsets. Any other columns are disregarded. #' @return Logical vector with the same length as argument `ymd` has rows #' with `TRUE` for valid days and `FALSE` for invalid days, or `NA` where #' the row in argument `ymd` has `NA` values. valid_days = function(ymd) { super$valid_days(ymd) & ymd$year >= 1958L # FIXME: TZ offsets } ) ) CFtime/R/zzz.R0000644000176200001440000000330715076702103012606 0ustar liggesusers#nocov start # Create environment for global CFtime variables CFt <- new.env(parent = emptyenv()) .onLoad <- function(libname, pkgname) { assign("CFunits", data.frame(unit = c("years", "year", "yr", "months", "month", "mon", "days", "day", "d", "hours", "hour", "hr", "h", "minutes", "minute", "min", "seconds", "second", "sec", "s"), id = c(6L, 6L, 6L, 5L, 5L, 5L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 1L, 1L, 1L, 1L)), envir = CFt) assign("units", data.frame(name = c("seconds", "minutes", "hours", "days", "months", "years"), seconds = c(1L, 60L, 3600L, 86400L, 86400L * 30L, 86400L * 365L), per_day = c(86400, 1440, 24, 1, 1/30, 1/365)), envir = CFt) assign("prefixes", data.frame(name = c("yocto", "zepto", "atto", "femto", "pico", "nano", "micro", "micro", "micro", "milli", "centi", "deci", "deca", "deka", "hecto", "kilo", "mega", "giga", "tera", "peta", "exa", "zetta", "yotta"), abbrev = c("y", "z", "a", "f", "p", "n", "u", "\u00B5", "\u03BC", "m", "c", "d", "da", "da", "h", "k", "M", "G", "T", "P", "E", "Z", "Y"), multiplier = c(1e-24, 1e-21, 1e-18, 1e-15, 1e-12, 1e-9, 1e-6, 1e-6, 1e-6, 1e-3, 1e-2, 1e-1, 1e1, 1e1, 1e2, 1e3, 1e6, 1e9, 1e12, 1e15, 1e18, 1e21, 1e24)), envir = CFt) assign("factor_periods", c("year", "season", "quarter", "month", "dekad", "day"), envir = CFt) assign("eps", .Machine$double.eps^0.5, envir = CFt) } #nocov end CFtime/R/CFCalendar.R0000644000176200001440000004640015076707734013713 0ustar liggesusers#' @import R6 NULL #' @title Basic CF calendar #' #' @description This class represents a basic CF calendar. It should not be #' instantiated directly; instead, use one of the descendant classes. #' #' This internal class stores the information to represent date and time #' values using the CF conventions. An instance is created by the exported #' [CFTime] class, which also exposes the relevant properties of this class. #' #' The following calendars are supported: #' #' \itemize{ #' \item [`gregorian\standard`][CFCalendarStandard], the international standard calendar for civil use. #' \item [`proleptic_gregorian`][CFCalendarProleptic], the standard calendar but extending before 1582-10-15 #' when the Gregorian calendar was adopted. #' \item [`tai`][CFCalendarTAI], International Atomic Time clock with dates expressed using the Gregorian calendar. #' \item [`utc`][CFCalendarUTC], Coordinated Universal Time clock with dates expressed using the Gregorian calendar. #' \item [`julian`][CFCalendarJulian], every fourth year is a leap year. #' \item [`noleap\365_day`][CFCalendar365], all years have 365 days. #' \item [`all_leap\366_day`][CFCalendar366], all years have 366 days. #' \item [`360_day`][CFCalendar360], all years have 360 days, divided over 12 months of 30 days. #' } #' @references #' https://cfconventions.org/Data/cf-conventions/cf-conventions-1.12/cf-conventions.html#calendar #' @docType class CFCalendar <- R6::R6Class("CFCalendar", private = list( .name = "", .definition = "", .unit = -1L, # The index into the CFt$prefixes data.frame, if a prefix is being used. # Default value of 0L indicates no prefix. .prefix = 0L, .origin = data.frame(), # This method parses the unit to see if it is known, including any prefix # for multiples or sub-multiples (section 3.1.3 of the conventions) parse_unit = function(x) { units <- CFt$CFunits$unit # Try exact match - case-insensitive u <- which(units == tolower(x)) if (length(u)) return(list(prefix = 0L, unit = CFt$CFunits$id[u])) # Try prefix + unit combinations - check longest unit names first usort <- units[order(nchar(units), decreasing = TRUE)] umatch <- which(endsWith(x, usort)) if (length(umatch)) { for (m in 1:length(umatch)) { u <- usort[umatch[m]] pref <- sub(paste0(u, "$"), "", x) pmatch <- match(pref, CFt$prefixes$name) if (is.na(pmatch)) pmatch <- match(pref, CFt$prefixes$abbrev) if (!is.na(pmatch)) return(list(prefix = pmatch, unit = CFt$CFunits$id[match(u, units)])) } } return(list(prefix = 0L, unit = NA)) } ), public = list( #' @description Create a new CF calendar. #' @param nm The name of the calendar. This must follow the CF Metadata #' Conventions. #' @param definition The string that defines the units and the origin, as #' per the CF Metadata Conventions. initialize = function(nm, definition) { stopifnot(length(definition) == 1L, length(nm) == 1L) private$.name <- tolower(nm) private$.definition <- definition parts <- strsplit(definition, " ")[[1L]] if ((length(parts) < 3L) || !(tolower(parts[2L]) %in% c("since", "after", "from", "ref", "per"))) stop("Definition string does not appear to be a CF-compliant time coordinate description", call. = FALSE) u <- private$parse_unit(parts[1L]) if (is.na(u$unit)) stop("Unsupported unit: ", parts[1L], call. = FALSE) private$.unit <- u$unit private$.prefix <- u$prefix dt <- self$parse(paste(parts[3L:length(parts)], collapse = " ")) if (is.na(dt$year[1L])) stop("Definition string does not appear to be a CF-compliant time coordinate description: invalid base date specification", call. = FALSE) private$.origin <- dt }, #' @description Print information about the calendar to the console. #' @param ... Ignored. #' @return `self`, invisibly. print = function(...) { tz <- self$timezone if (tz == "+0000") tz <- "" cat("CF calendar:", "\n Origin : ", self$origin_date, "T", self$origin_time, tz, "\n Units : ", paste0(if (private$.prefix) CFt$prefixes$name[private$.prefix], CFt$units$name[private$.unit]), "\n Type : ", private$.name, "\n", sep = "") invisible(self) }, #' @description Indicate which of the supplied dates are valid. #' @param ymd `data.frame` with dates parsed into their parts in columns #' `year`, `month` and `day`. Any other columns are disregarded. #' @return `NULL`. A warning will be generated to the effect that a #' descendant class should be used for this method. valid_days = function(ymd) { warning("Use a descendant class from `CFCalendar` to call this method.", call. = FALSE) # nocov NULL # nocov }, #' @description Add a day to the supplied dates. #' @param ymd `data.frame` with dates parsed into their parts in columns #' `year`, `month` and `day`. Any other columns are disregarded. #' @return A `data.frame` like argument `ymd` but with a day added for every #' row. add_day = function(ymd) { md <- self$month_days(ymd) ifelse(ymd$day < md, ymd$day <- ymd$day + 1L, { ymd$day <- 1L ifelse(ymd$month < 12L, ymd$month <- ymd$month + 1L, { ymd$month <- 1L ymd$year <- ymd$year + 1L } ) } ) ymd }, #' @description Indicate if the time series described using this calendar #' can be safely converted to a standard date-time type (`POSIXct`, #' `POSIXlt`, `Date`). #' #' Only the 'standard' calendar and the 'proleptic_gregorian' calendar #' when all dates in the time series are more recent than 1582-10-15 #' (inclusive) can be safely converted, so this method returns `FALSE` by #' default to cover the majority of cases. #' @param offsets The offsets from the CFtime instance. #' @return `FALSE` by default. POSIX_compatible = function(offsets) { FALSE }, #' @description This method tests if the `CFCalendar` instance in argument #' `cal` is compatible with `self`, meaning that they are of the same #' class and have the same unit and prefix. Calendars "standard", and #' "gregorian" are compatible, as are the pairs of "365_day" and #' "no_leap", and "366_day" and "all_leap". #' @param cal Instance of a descendant of the `CFCalendar` class. #' @return `TRUE` if the instance in argument `cal` is compatible with #' `self`, `FALSE` otherwise. is_compatible = function(cal) { private$.unit == cal$unit && private$.prefix == cal$prefix_id && class(self)[1L] == class(cal)[1L] }, #' @description This method tests if the `CFCalendar` instance in argument #' `cal` is equivalent to `self`, meaning that they are of the same class, #' have the same unit and prefix, and equivalent origins. Calendars #' "standard", and "gregorian" are equivalent, as are the pairs of #' "365_day" and "no_leap", and "366_day" and "all_leap". #' #' Note that the origins need not be identical, but their parsed values #' have to be. "2000-01" is parsed the same as "2000-01-01 00:00:00", for #' instance. #' @param cal Instance of a descendant of the `CFCalendar` class. #' @return `TRUE` if the instance in argument `cal` is equivalent to `self`, #' `FALSE` otherwise. is_equivalent = function(cal) { all(private$.origin[1L,1L:6L] == cal$origin[1L,1L:6L]) && # Offset column is NA self$is_compatible(cal) }, #' @description Parsing a vector of date-time character strings into parts. #' @param d character. A character vector of date-times. #' @return A `data.frame` with columns year, month, day, hour, minute, #' second, time zone, and offset. Invalid input data will appear as `NA`. parse = function(d) { # Parsers # UDUNITS broken timestamp definition, with some changes # broken_timestamp {broken_date}({space|T}+{broken_clock})? -- T not in definition but present in lexer code # broken_date {year}-{month}(-{day})? # year [+-]?[0-9]{1,4} # month 0?[1-9]|1[0-2] # day 0?[1-9]|[1-2][0-9]|30|31 # broken_clock {hour}:{minute}(:{second})? # hour [0-1]?[0-9]|2[0-3] -- sign on hour not allowed, but see timezone # minute [0-5]?[0-9] # second {minute}? -- leap second not supported # fractional part (\.[0-9]*)? # timezone [+-]?{hour}(:{minute})? -- added, present in lexer code broken <- paste0( "^", # anchor string at start "([+-]?[0-9]{1,4})", # year, with optional sign "-(0?[1-9]|1[012])", # month "(?:-(0?[1-9]|[12][0-9]|3[01]))?", # day, optional "(?:[T ]", # if a time is following, separate with a single whitespace character or a "T" "([01]?[0-9]|2[0-3])", # hour ":([0-5]?[0-9])", # minute "(?::([0-5]?[0-9]))?", # second, optional "(?:\\.([0-9]*))?", # optional fractional part of the smallest specified unit ")?", # close optional time capture group "(?:\\s", # if a time zone offset is following, separate with a single whitespace character "([+-])?([01]?[0-9]|2[0-3])", # tz hour, with optional sign "(?::(00|15|30|45))?", # optional tz minute, only 4 possible values ")?", # close optional timezone capture group "$" # anchor string at end ) iso8601 <- paste0( "^", "([0-9]{4})", "-(0[1-9]|1[012])", "-(0[1-9]|[12][0-9]|3[01])?", "(?:", "[T ]([01][0-9]|2[0-3])", "(?::([0-5][0-9]))?", "(?::([0-5][0-9]))?", "(?:[\\.,]([0-9]*))?", ")?", "(?:([Z+-])([01][0-9]|2[0-3])?(?::(00|15|30|45))?", ## FIXME: Z?, smaller number of captures ")?$" ) # UDUNITS packed timestamp definition - NOT YET USED # packed_timestamp {packed_date}({space|T}+{packed_clock})? -- T and space only allowed in packed time follows # packed_date {year}({month}{day}?)? -- must be YYYYMMDD or else format is ambiguous, as per lexer code # packed_clock {hour}({minute}{second}?)? -- must be HHMMSS to be unambiguous # timezone [+-]?{hour}({minute})? -- added, present in lexer code, must be HHMM # packed <- stringi::stri_join( # "^", # anchor string at start # "([+-]?[0-9]{4})", # year, with optional sign # "(0[1-9]|1[012])?", # month, optional # "(0[1-9]|[12][0-9]|3[01])?", # day, optional # "(?:[T,\\s]", # if a time is following, separate with a single whitespace character or a "T" # "([01][0-9]|2[0-3])?", # hour # "([0-5][0-9])?", # minute, optional # "([0-5]?[0-9](?:\\.[0-9]*)?)?", # second, optional, with optional fractional part # ")?", # close optional time capture group # "(?:\\s", # if a time zone offset is following, separate with a single whitespace character # "([+-]?[01][0-9]|2[0-3])?", # hour, with optional sign # "(00|15|30|45)?", # minute, only 4 possible values # ")?", # close optional timezone capture group # "$" # anchor string at end # ) parse <- data.frame(year = integer(), month = integer(), day = integer(), hour = integer(), minute = integer(), second = numeric(), frac = character(), tz_sign = character(), tz_hour = character(), tz_min = character()) # Drop "UTC", if given d <- trimws(gsub("UTC$", "", d)) cap <- utils::strcapture(iso8601, d, parse) missing <- which(is.na(cap$year)) if (length(missing) > 0L) cap[missing,] <- utils::strcapture(broken, d[missing], parse) # Assign any fraction to the appropriate time part cap$frac[is.na(cap$frac)] <- "0" frac <- as.numeric(paste0("0.", cap$frac)) if (sum(frac) > 0) { ndx <- which(!(is.na(cap$second)) & frac > 0) if (length(ndx) > 0L) cap$second[ndx] <- cap$second[ndx] + frac[ndx] ndx <- which(!(is.na(cap$minute)) & is.na(cap$second) & frac > 0) if (length(ndx) > 0L) cap$second[ndx] <- 60L * frac[ndx] ndx <- which(!(is.na(cap$hour)) & is.na(cap$minute) & frac > 0) if (length(ndx) > 0L) { secs <- 3600 * frac cap$minute[ndx] <- secs[ndx] %/% 60 cap$second[ndx] <- secs[ndx] %% 60 } } cap$frac <- NULL # Convert NA time parts to 0 - in CF default time is 00:00:00 when not specified cap$hour[is.na(cap$hour)] <- 0L cap$minute[is.na(cap$minute)] <- 0L cap$second[is.na(cap$second)] <- 0L # Set timezone to default value where needed ndx <- which(cap$tz_sign == "Z") if (length(ndx) > 0L) { cap$tz_sign[ndx] <- "+" cap$tz_hour[ndx] <- "00" cap$tz_min[ndx] <- "00" } cap$tz <- paste0(ifelse(cap$tz_sign == "", "+", cap$tz_sign), ifelse(cap$tz_hour == "", "00", cap$tz_hour), ifelse(cap$tz_min == "", "00", cap$tz_min)) cap$tz <- ifelse(cap$tz =="NANANA", "+0000", cap$tz) cap$tz_sign <- cap$tz_hour <- cap$tz_min <- NULL # Set optional date parts to 1 if not specified cap$month[is.na(cap$month)] <- 1L cap$day[is.na(cap$day)] <- 1L # Check date validity invalid <- !self$valid_days(cap) invalid[is.na(invalid)] <- TRUE if (sum(invalid) > 0L) cap[invalid,] <- rep(NA, 7) # Calculate offsets if (nrow(self$origin) == 0L) { # if there's no origin yet, don't calculate offsets cap$offset <- rep(0, nrow(cap)) # this happens, f.i., when a CFCalendar is created } else { days <- self$date2offset(cap) pref <- if (private$.prefix) CFt$prefixes$multiplier[private$.prefix] else 1 cap$offset <- round((days * 86400 + (cap$hour - private$.origin$hour[1]) * 3600 + (cap$minute - private$.origin$minute[1]) * 60 + cap$second - private$.origin$second) / (CFt$units$seconds[private$.unit] * pref), 6) } cap }, #' @description Decompose a vector of offsets, in units of the calendar, to #' their timestamp values. This adds a specified amount of time to the #' origin of a `CFTime` object. #' #' This method may introduce inaccuracies where the calendar unit is #' "months" or "years", due to the ambiguous definition of these units. #' @param offsets Vector of numeric offsets to add to the origin of the #' calendar. #' @return A `data.frame` with columns for the timestamp elements and as #' many rows as there are offsets. offsets2time = function(offsets = NULL) { if(is.null(offsets) || (len <- length(offsets)) == 0L) return(data.frame(year = integer(), month = integer(), day = integer(), hour = integer(), minute = integer(), second = numeric(), tz = character(), offset = numeric())) prefix <- if (private$.prefix) CFt$prefixes$multiplier[private$.prefix] else 1 if (private$.unit <= 4L) { # Days, hours, minutes, seconds # First add time: convert to seconds first, then recompute time parts secs <- offsets * CFt$units$seconds[private$.unit] * prefix + private$.origin$hour * 3600 + private$.origin$minute * 60 + private$.origin$second days <- secs %/% 86400L # overflow days secs <- round(secs %% 86400L, 3L) # drop overflow days from time, round down to milli-seconds to avoid errors # Time elements for output hrs <- secs %/% 3600L mins <- (secs %% 3600L) %/% 60L secs <- secs %% 60L # Now add days using the calendar out <- if (any(days != 0L)) self$offset2date(days) else data.frame(year = rep(private$.origin$year, len), month = rep(private$.origin$month, len), day = rep(private$.origin$day, len)) # Put it all back together again out$hour <- hrs out$minute <- mins out$second <- secs out$tz <- rep(self$timezone, len) } else { # Months, years out <- private$.origin[rep(1L, len), ] if (private$.unit == 5L) { # Offsets are months months <- out$month + offsets * prefix - 1L out$month <- months %% 12L + 1L out$year <- out$year + months %/% 12L } else { # Offsets are years out$year <- out$year + offsets * prefix } } out$offset <- offsets out } ), active = list( #' @field name (read-only) Name of the calendar, as per the CF Metadata #' Conventions. name = function(value) { if (missing(value)) private$.name }, #' @field definition (read-only) The string that defines the units and the #' origin, as per the CF Metadata Conventions. definition = function(value) { if (missing(value)) private$.definition }, #' @field unit (read-only) The numeric id of the unit of the calendar. unit = function(value) { if (missing(value)) private$.unit }, #' @field prefix_id (read-only) The index value of the prefix of the time #' unit. If the unit does not have a prefix, returns the value 0L. prefix_id = function(value) { if (missing(value)) private$.prefix }, #' @field origin (read-only) `data.frame` with fields for the origin of the #' calendar. origin = function(value) { if (missing(value)) private$.origin }, #' @field origin_date (read-only) Character string with the date of the #' calendar. origin_date = function(value) { if (missing(value)) { sprintf("%04d-%02d-%02d", self$origin$year, self$origin$month, self$origin$day) } }, #' @field origin_time (read-only) Character string with the time of the #' calendar. origin_time = function(value) { if (missing(value)) { .format_time(self$origin) } }, #' @field timezone (read-only) Character string with the time zone of the #' origin of the calendar. timezone = function(value) { if (missing(value)) self$origin$tz } ) ) CFtime/R/CFCalendarProleptic.R0000644000176200001440000001503715071416230015556 0ustar liggesusers#' @title Proleptic Gregorian CF calendar #' #' @description This class represents a standard CF calendar, but with the #' Gregorian calendar extended backwards to before the introduction of the #' Gregorian calendar. This calendar is compatible with the standard POSIXt #' calendar, but note that daylight savings time is not considered. #' #' This calendar includes dates 1582-10-14 to 1582-10-05 (the gap between the #' Gregorian and Julian calendars, which is observed by the standard #' calendar), and extends to years before the year 1, including year 0. #' #' @aliases CFCalendarProleptic #' @docType class CFCalendarProleptic <- R6::R6Class("CFCalendarProleptic", inherit = CFCalendar, private = list( # Rata Die, the number of days from the day before 0001-01-01 to # origin of this calendar. Used to convert offsets from the calendar origin # to the day before 0001-01-01 for arithmetic calculations. rd = 0L ), public = list( #' @description Create a new CF calendar. #' @param nm The name of the calendar. This must be "proleptic_gregorian". #' This argument is superfluous but maintained to be consistent with the #' initialization methods of the parent and sibling classes. #' @param definition The string that defines the units and the origin, as #' per the CF Metadata Conventions. #' @return A new instance of this class. initialize = function(nm, definition) { super$initialize(nm, definition) private$rd <- .gregorian_date2offset(self$origin, self$leap_year(self$origin$year)) }, #' @description Indicate which of the supplied dates are valid. #' @param ymd `data.frame` with dates parsed into their parts in columns #' `year`, `month` and `day`. Any other columns are disregarded. #' @return Logical vector with the same length as argument `ymd` has rows #' with `TRUE` for valid days and `FALSE` for invalid days, or `NA` where #' the row in argument `ymd` has `NA` values. valid_days = function(ymd) { !is.na(ymd$year) & ymd$month >= 1L & ymd$month <= 12L & ymd$day >= 1L & ifelse(self$leap_year(ymd$year), ymd$day <= c(31, 29, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31)[ymd$month], ymd$day <= c(31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31)[ymd$month]) }, #' @description Determine the number of days in the month of the calendar. #' @param ymd `data.frame`, optional, with dates parsed into their parts. #' @return Integer vector indicating the number of days in each month for #' the dates supplied as argument `ymd`. If no dates are supplied, the #' number of days per month for the calendar as a vector of length 12, for #' a regular year without a leap day. month_days = function(ymd = NULL) { if (is.null(ymd)) return(c(31L, 28L, 31L, 30L, 31L, 30L, 31L, 31L, 30L, 31L, 30L, 31L)) ifelse(self$leap_year(ymd$year), c(31L, 29L, 31L, 30L, 31L, 30L, 31L, 31L, 30L, 31L, 30L, 31L)[ymd$month], c(31L, 28L, 31L, 30L, 31L, 30L, 31L, 31L, 30L, 31L, 30L, 31L)[ymd$month]) }, #' @description Indicate which years are leap years. #' @param yr Integer vector of years to test. #' @return Logical vector with the same length as argument `yr`. `NA` is #' returned where elements in argument `yr` are `NA`. leap_year = function(yr) { ((yr %% 4L == 0L) & (yr %% 100L > 0L)) | (yr %% 400L == 0L) }, #' @description Indicate if the time series described using this calendar #' can be safely converted to a standard date-time type (`POSIXct`, #' `POSIXlt`, `Date`). #' @param offsets The offsets from the CFtime instance. #' @return `TRUE`. POSIX_compatible = function(offsets) { TRUE # nocov }, #' @description Calculate difference in days between a `data.frame` of time #' parts and the origin. #' #' @param x `data.frame`. Dates to calculate the difference for. #' @return Integer vector of a length equal to the number of rows in #' argument `x` indicating the number of days between `x` and the `origin`, #' or `NA` for rows in `x` with `NA` values. date2offset = function(x) { .gregorian_date2offset(x, self$leap_year(x$year)) - private$rd }, #' @description Calculate date parts from day differences from the origin. This #' only deals with days as these are impacted by the calendar. #' Hour-minute-second timestamp parts are handled in [CFCalendar]. #' #' @param x Integer vector of days to add to the origin. #' @return A `data.frame` with columns 'year', 'month' and 'day' and as many #' rows as the length of vector `x`. offset2date = function(x) { .gregorian_offset2date(x + private$rd) } ) ) # The below functions use arithmetic offset calculation from date parts and # vice-versa. These functions are R-ified from pseudo-functions in Reingold & # Derschowitz, "Calendrical Calculations", 2018. #' Dates to offset, from function `fixed-from-gregorian()` #' #' @param x `data.frame` with columns "year", "month" and "date" #' @param leapyear Logical vector of the same length as `x` has rows indicating #' for each row in `x` if this is a leap year. #' @return Integer vector of offsets for the dates in `x`. The offsets are #' relative to the day before 0001-01-01. #' @noRd .gregorian_date2offset <- function(x, leapyear) { year1 <- x$year - 1L corr <- ifelse(x$month <= 2L, 0L, as.integer(leapyear) - 2L) 365L * year1 + year1 %/% 4L - year1 %/% 100L + year1 %/% 400L + (367L * x$month - 362L) %/% 12L + corr + x$day } #' Offsets to dates, from function `gregorian-from-fixed()` and support functions. #' #' @param x Integer vector of offsets. The offsets must be relative to the day #' before 0001-01-01. #' @return `data.frame` with date elements "year", "month" and "day". #' @noRd .gregorian_offset2date <- function(x) { d0 <- x - 1L n400 <- d0 %/% 146097L; d1 <- d0 %% 146097L n100 <- d1 %/% 36524L; d2 <- d1 %% 36524L n4 <- d2 %/% 1461L; d3 <- d2 %% 1461L n1 <- d3 %/% 365L yr <- 400L * n400 + 100L * n100 + 4L * n4 + n1 yr <- ifelse(n100 == 4L | n1 == 4L, yr, yr + 1L) leapyear <- ((yr %% 4L == 0L) & (yr %% 100L > 0L)) | (yr %% 400L == 0L) yr1 <- yr - 1L jan1 <- 365L * yr1 + yr1 %/% 4L - yr1 %/% 100L + yr1 %/% 400L + 1L prior_days <- x - jan1 + ifelse(x < jan1 + 59L + as.integer(leapyear), 0L, 2L - as.integer(leapyear)) mon <- (12L * prior_days + 373L) %/% 367L day <- x - .gregorian_date2offset(data.frame(year = yr, month = mon, day = 1), leapyear) + 1L data.frame(year = yr, month = mon, day = day) } CFtime/R/CFCalendar360.R0000644000176200001440000000755515052370156014140 0ustar liggesusers#' @title 360-day CF calendar #' #' @description This class represents a CF calendar of 360 days per year, evenly #' divided over 12 months of 30 days. This calendar is obviously not #' compatible with the standard POSIXt calendar. #' #' This calendar supports dates before year 1 and includes the year 0. #' #' @aliases CFCalendar360 #' @docType class CFCalendar360 <- R6::R6Class("CFCalendar360", inherit = CFCalendar, public = list( #' @description Create a new CF calendar. #' @param nm The name of the calendar. This must be "360_day". This argument #' is superfluous but maintained to be consistent with the initialization #' methods of the parent and sibling classes. #' @param definition The string that defines the units and the origin, as #' per the CF Metadata Conventions. #' @return A new instance of this class. initialize = function(nm, definition) { super$initialize(nm, definition) }, #' @description Indicate which of the supplied dates are valid. #' @param ymd `data.frame` with dates parsed into their parts in columns #' `year`, `month` and `day`. Any other columns are disregarded. #' @return Logical vector with the same length as argument `ymd` has rows #' with `TRUE` for valid days and `FALSE` for invalid days, or `NA` where #' the row in argument `ymd` has `NA` values. valid_days = function(ymd) { !is.na(ymd$year) & ymd$month >= 1L & ymd$month <= 12L & ymd$day >= 1L & ymd$day <= 30L }, #' @description Determine the number of days in the month of the calendar. #' @param ymd `data.frame` with dates parsed into their parts in columns #' `year`, `month` and `day`. Any other columns are disregarded. #' @return A vector indicating the number of days in each month for the #' dates supplied as argument `ymd`. If no dates are supplied, the number #' of days per month for the calendar as a vector of length 12. month_days = function(ymd = NULL) { if (is.null(ymd)) return(rep(30L, 12L)) res <- rep(30L, nrow(ymd)) res[which(is.na(ymd$year))] <- NA res }, #' @description Indicate which years are leap years. #' @param yr Integer vector of years to test. #' @return Logical vector with the same length as argument `yr`. Since this #' calendar does not use leap days, all values will be `FALSE`, or `NA` #' where argument `yr` is `NA`. leap_year = function(yr) { res <- rep(FALSE, length(yr)) res[which(is.na(yr))] <- NA res }, #' @description Calculate difference in days between a `data.frame` of time #' parts and the origin. #' #' @param x `data.frame`. Dates to calculate the difference for. #' #' @return Integer vector of a length equal to the number of rows in #' argument `x` indicating the number of days between `x` and the `origin`, #' or `NA` for rows in `x` with `NA` values. date2offset = function(x) { (x$year - self$origin$year) * 360L + (x$month - self$origin$month) * 30L + x$day - self$origin$day }, #' @description Calculate date parts from day differences from the origin. #' This only deals with days as these are impacted by the calendar. #' Hour-minute-second timestamp parts are handled in [CFCalendar]. #' #' @param x Integer vector of days to add to the origin. #' #' @return A `data.frame` with columns 'year', 'month' and 'day' and as many #' rows as the length of vector `x`. offset2date = function(x) { y <- self$origin$year + x %/% 360L m <- self$origin$month + (x %% 360L) %/% 30L d <- self$origin$day + x %% 30L over <- which(d > 30L) d[over] <- d[over] - 30L m[over] <- m[over] + 1L over <- which(m > 12L) m[over] <- m[over] - 12L y[over] <- y[over] + 1L data.frame(year = y, month = m, day = d, row.names = NULL) } ) ) CFtime/R/CFCalendarStandard.R0000644000176200001440000002024615071257637015371 0ustar liggesusers#' @title Standard CF calendar #' #' @description This class represents a standard calendar of 365 or 366 days per #' year. This calendar is compatible with the standard POSIXt calendar for #' periods after the introduction of the Gregorian calendar, 1582-10-15 #' 00:00:00. The calendar starts at 0001-01-01 00:00:00, e.g. the start of the #' Common Era. #' #' Note that this calendar, despite its name, is not the same as that used in #' ISO8601 or many computer systems for periods prior to the introduction of #' the Gregorian calendar. Use of the "proleptic_gregorian" calendar is #' recommended for periods before or straddling the introduction date, as that #' calendar is compatible with POSIXt on most OSes. #' #' @aliases CFCalendarStandard #' @docType class CFCalendarStandard <- R6::R6Class("CFCalendarStandard", inherit = CFCalendar, private = list( # Rata Die, the number of days from the day before 0001-01-01 to # origin of the Gregorian part of this calendar, if present. Used to # convert offsets from the Gregorian calendar origin to the day before # 0001-01-01 for arithmetic calculations. rd_greg = 0L, # Rata Die, the number of days from the day before 0001-01-01 to # origin of the Julian part of this calendar, if present. Used to convert # offsets from the Julian calendar origin to the day before 0001-01-01 #for arithmetic calculations. rd_juli = 0L, # The integer offset for 1582-10-15 00:00:00, when the Gregorian # calendar started, or 1582-10-05, when the gap between Julian and # Gregorian calendars started. The former is set when the calendar origin # is more recent, the latter when the origin is prior to the gap. gap = -1L ), public = list( #' @description Create a new CF calendar. When called with the deprecated #' 'gregorian' it is automatically converted to the equivalent 'standard'. #' @param nm The name of the calendar. This must be "standard" or #' "gregorian" (deprecated). #' @param definition The string that defines the units and the origin, as #' per the CF Metadata Conventions. #' @return A new instance of this class. initialize = function(nm, definition) { nm <- "standard" super$initialize(nm, definition) private$rd_greg <- .gregorian_date2offset(self$origin, self$leap_year(self$origin$year)) private$rd_juli <- .julian_date2offset(self$origin, self$leap_year(self$origin$year)) private$gap <- if (self$is_gregorian_date(self$origin)) .gregorian_date2offset(data.frame(year = 1582, month = 10, day = 15), self$leap_year(self$origin$year)) - private$rd_greg else .julian_date2offset(data.frame(year = 1582, month = 10, day = 5), self$leap_year(self$origin$year)) - private$rd_juli }, #' @description Indicate which of the supplied dates are valid. #' @param ymd `data.frame` with dates parsed into their parts in columns #' `year`, `month` and `day`. Any other columns are disregarded. #' @return Logical vector with the same length as argument `ymd` has rows #' with `TRUE` for valid days and `FALSE` for invalid days, or `NA` where #' the row in argument `ymd` has `NA` values. valid_days = function(ymd) { ymd$year >= 1L & ymd$month >= 1L & ymd$month <= 12L & ymd$day >= 1L & ifelse(self$is_gregorian_date(ymd), # Gregorian calendar ifelse(self$leap_year(ymd$year), ymd$day <= c(31L, 29L, 31L, 30L, 31L, 30L, 31L, 31L, 30L, 31L, 30L, 31L)[ymd$month], ymd$day <= c(31L, 28L, 31L, 30L, 31L, 30L, 31L, 31L, 30L, 31L, 30L, 31L)[ymd$month]), # Julian calendar ifelse(ymd$year == 1582L & ymd$month == 10L & ymd$day > 4L, FALSE, # days 1582-10-05 - 1582-10-14 do not exist ifelse(ymd$year %% 4L == 0L, ymd$day <= c(31L, 29L, 31L, 30L, 31L, 30L, 31L, 31L, 30L, 31L, 30L, 31L)[ymd$month], ymd$day <= c(31L, 28L, 31L, 30L, 31L, 30L, 31L, 31L, 30L, 31L, 30L, 31L)[ymd$month]) ) ) }, #' @description Indicate which of the supplied dates are in the Gregorian #' part of the calendar, e.g. 1582-10-15 or after. #' @param ymd `data.frame` with dates parsed into their parts in columns #' `year`, `month` and `day`. Any other columns are disregarded. #' @return Logical vector with the same length as argument `ymd` has rows #' with `TRUE` for days in the Gregorian part of the calendar and `FALSE` #' otherwise, or `NA` where the row in argument `ymd` has `NA` values. is_gregorian_date = function(ymd) { ymd$year > 1582L | (ymd$year == 1582L & (ymd$month > 10L | (ymd$month == 10L & ymd$day >= 15L))) }, #' @description Indicate if the time series described using this calendar #' can be safely converted to a standard date-time type (`POSIXct`, #' `POSIXlt`, `Date`). This is only the case if all offsets are for #' timestamps fall on or after the start of the Gregorian calendar, #' 1582-10-15 00:00:00. #' @param offsets The offsets from the CFtime instance. #' @return `TRUE`. POSIX_compatible = function(offsets) { all(offsets >= private$gap) }, #' @description Determine the number of days in the month of the calendar. #' @param ymd `data.frame`, optional, with dates parsed into their parts. #' @return A vector indicating the number of days in each month for the #' dates supplied as argument `ymd`. If no dates are supplied, the number #' of days per month for the calendar as a vector of length 12, for a #' regular year without a leap day. month_days = function(ymd = NULL) { if (is.null(ymd)) return(c(31L, 28L, 31L, 30L, 31L, 30L, 31L, 31L, 30L, 31L, 30L, 31L)) ifelse(self$leap_year(ymd$year), c(31L, 29L, 31L, 30L, 31L, 30L, 31L, 31L, 30L, 31L, 30L, 31L)[ymd$month], c(31L, 28L, 31L, 30L, 31L, 30L, 31L, 31L, 30L, 31L, 30L, 31L)[ymd$month]) }, #' @description Indicate which years are leap years. #' @param yr Integer vector of years to test. #' @return Logical vector with the same length as argument `yr`. `NA` is #' returned where elements in argument `yr` are `NA`. leap_year = function(yr) { ifelse(yr <= 1582L, yr %% 4L == 0L, ((yr %% 4L == 0L) & (yr %% 100L > 0L)) | (yr %% 400L == 0L) ) }, #' @description Calculate difference in days between a `data.frame` of time #' parts and the origin. #' #' @param x `data.frame`. Dates to calculate the difference for. #' @return Integer vector of a length equal to the number of rows in #' argument `x` indicating the number of days between `x` and the origin #' of the calendar, or `NA` for rows in `x` with `NA` values. date2offset = function(x) { leap <- self$leap_year(x$year) ifelse(self$is_gregorian_date(x), .gregorian_date2offset(x, leap), .julian_date2offset(x, leap) ) - if (private$gap > 0L) private$rd_juli else private$rd_greg }, #' @description Calculate date parts from day differences from the origin. This #' only deals with days as these are impacted by the calendar. #' Hour-minute-second timestamp parts are handled in [CFCalendar]. #' #' @param x Integer vector of days to add to the origin. #' @return A `data.frame` with columns 'year', 'month' and 'day' and as many #' rows as the length of vector `x`. offset2date = function(x) { rd <- if (private$gap > 0L) private$rd_juli else private$rd_greg len <- length(x) gndx <- x >= private$gap & !is.na(x) if (any(gndx)) greg <- .gregorian_offset2date(x[gndx] + rd) else greg <- data.frame(year = integer(), month = integer(), day = integer()) jndx <- x < private$gap & !is.na(x) if (any(jndx)) juli <- .julian_offset2date(x[jndx] + rd) else juli <- data.frame(year = integer(), month = integer(), day = integer()) yr <- mon <- day <- rep(NA_integer_, len) yr[gndx] <- greg$year; yr[jndx] <- juli$year mon[gndx] <- greg$month; mon[jndx] <- juli$month day[gndx] <- greg$day; day[jndx] <- juli$day data.frame(year = yr, month = mon, day = day) } ) ) CFtime/R/CFCalendar365.R0000644000176200001440000001030515052370156014130 0ustar liggesusers#' @title 365-day CF calendar #' #' @description This class represents a CF calendar of 365 days per year, having #' no leap days in any year. This calendar is not compatible with the standard #' POSIXt calendar. #' #' This calendar supports dates before year 1 and includes the year 0. #' #' @aliases CFCalendar365 #' @docType class CFCalendar365 <- R6::R6Class("CFCalendar365", inherit = CFCalendar, private = list( # Rata Die, the number of days from the day before 0001-01-01 to # origin of this calendar. Used to convert offsets from the calendar origin # to the day before 0001-01-01 for arithmetic calculations. rd = 0L ), public = list( #' @description Create a new CF calendar of 365 days per year. #' @param nm The name of the calendar. This must be "365_day" or "noleap". #' @param definition The string that defines the units and the origin, as #' per the CF Metadata Conventions. #' @return A new instance of this class. initialize = function(nm, definition) { super$initialize(nm, definition) private$rd <- self$date2offset(self$origin) }, #' @description Indicate which of the supplied dates are valid. #' @param ymd `data.frame` with dates parsed into their parts in columns #' `year`, `month` and `day`. Any other columns are disregarded. #' @return Logical vector with the same length as argument `ymd` has rows #' with `TRUE` for valid days and `FALSE` for invalid days, or `NA` where #' the row in argument `ymd` has `NA` values. valid_days = function(ymd) { !is.na(ymd$year) & ymd$month >= 1L & ymd$month <= 12L & ymd$day >= 1L & ymd$day <= c(31L, 28L, 31L, 30L, 31L, 30L, 31L, 31L, 30L, 31L, 30L, 31L)[ymd$month] }, #' @description Determine the number of days in the month of the calendar. #' @param ymd `data.frame`, optional, with dates parsed into their parts. #' @return A vector indicating the number of days in each month for the #' dates supplied as argument `ymd`. If no dates are supplied, the number #' of days per month for the calendar as a vector of length 12. month_days = function(ymd = NULL) { if (is.null(ymd)) return(c(31L, 28L, 31L, 30L, 31L, 30L, 31L, 31L, 30L, 31L, 30L, 31L)) res <- c(31L, 28L, 31L, 30L, 31L, 30L, 31L, 31L, 30L, 31L, 30L, 31L)[ymd$month] res[which(is.na(ymd$year))] <- NA res }, #' @description Indicate which years are leap years. #' @param yr Integer vector of years to test. #' @return Logical vector with the same length as argument `yr`. Since this #' calendar does not use leap days, all values will be `FALSE`, or `NA` #' where argument `yr` is `NA`. leap_year = function(yr) { res <- rep(FALSE, length(yr)) res[which(is.na(yr))] <- NA res }, #' @description Calculate difference in days between a `data.frame` of time #' parts and the origin. #' #' @param x `data.frame`. Dates to calculate the difference for. #' #' @return Integer vector of a length equal to the number of rows in #' argument `x` indicating the number of days between `x` and the `origin`, #' or `NA` for rows in `x` with `NA` values. date2offset = function(x) { corr <- ifelse(x$month <= 2L, 0L, -2L) 365L * (x$year - 1L) + (367L * x$month - 362L) %/% 12L + corr + x$day - private$rd }, #' @description Calculate date parts from day differences from the origin. This #' only deals with days as these are impacted by the calendar. #' Hour-minute-second timestamp parts are handled in [CFCalendar]. #' #' @param x Integer vector of days to add to the origin. #' @return A `data.frame` with columns 'year', 'month' and 'day' and as many #' rows as the length of vector `x`. offset2date = function(x) { d0 <- x - 1L + private$rd # d0 is offset relative to year 0, 0-based yr <- d0 %/% 365L + 1L # full years d1 <- d0 %% 365L # remaining days corr <- ifelse(d1 < 59L, 0L, 2L) # correct for days past February mon <- (12L * (d1 + corr) + 373L) %/% 367L day <- d1 - (367L * mon - 362L) %/% 12L + corr + 1L data.frame(year = yr, month = mon, day = day) } ) ) CFtime/R/CFCalendarJulian.R0000644000176200001440000001331615071416234015041 0ustar liggesusers#' @title Julian CF calendar #' #' @description This class represents a Julian calendar of 365 days per year, #' with every fourth year being a leap year of 366 days. The months and the #' year align with the standard calendar. This calendar is not compatible with #' the standard POSIXt calendar. #' #' This calendar starts on 1 January of year 1: 0001-01-01 00:00:00. Any dates #' before this will generate an error. #' #' @aliases CFCalendarJulian #' @docType class CFCalendarJulian <- R6::R6Class("CFCalendarJulian", inherit = CFCalendar, private = list( # Rata Die, the number of days from the day before 0001-01-01 to # origin of this calendar. Used to convert offsets from the calendar origin # to the day before 0001-01-01 for arithmetic calculations. rd = 0L ), public = list( #' @description Create a new CF calendar. #' @param nm The name of the calendar. This must be "julian". This argument #' is superfluous but maintained to be consistent with the initialization #' methods of the parent and sibling classes. #' @param definition The string that defines the units and the origin, as #' per the CF Metadata Conventions. #' @return A new instance of this class. initialize = function(nm, definition) { super$initialize(nm, definition) private$rd <- .julian_date2offset(self$origin, self$leap_year(self$origin$year)) }, #' @description Indicate which of the supplied dates are valid. #' @param ymd `data.frame` with dates parsed into their parts in columns #' `year`, `month` and `day`. Any other columns are disregarded. #' @return Logical vector with the same length as argument `ymd` has rows #' with `TRUE` for valid days and `FALSE` for invalid days, or `NA` where #' the row in argument `ymd` has `NA` values. valid_days = function(ymd) { ymd$year >= 1L & ymd$month >= 1L & ymd$month <= 12L & ymd$day >= 1L & ifelse(self$leap_year(ymd$year), ymd$day <= c(31, 29, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31)[ymd$month], ymd$day <= c(31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31)[ymd$month]) }, #' @description Determine the number of days in the month of the calendar. #' @param ymd `data.frame`, optional, with dates parsed into their parts. #' @return A vector indicating the number of days in each month for the #' dates supplied as argument `ymd`. If no dates are supplied, the number #' of days per month for the calendar as a vector of length 12, for a #' regular year without a leap day. month_days = function(ymd = NULL) { if (is.null(ymd)) return(c(31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31)) ifelse(self$leap_year(ymd$year), c(31, 29, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31)[ymd$month], c(31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31)[ymd$month]) }, #' @description Indicate which years are leap years. #' @param yr Integer vector of years to test. #' @return Logical vector with the same length as argument `yr`. `NA` is #' returned where elements in argument `yr` are `NA`. leap_year = function(yr) { yr %% 4L == 0L }, #' @description Calculate difference in days between a `data.frame` of time #' parts and the origin. #' #' @param x `data.frame`. Dates to calculate the difference for. #' @return Integer vector of a length equal to the number of rows in #' argument `x` indicating the number of days between `x` and the origin #' of the calendar, or `NA` for rows in `x` with `NA` values. date2offset = function(x) { .julian_date2offset(x, self$leap_year(x$year)) - private$rd }, #' @description Calculate date parts from day differences from the origin. This #' only deals with days as these are impacted by the calendar. #' Hour-minute-second timestamp parts are handled in [CFCalendar]. #' #' @param x Integer vector of days to add to the origin. #' @return A `data.frame` with columns 'year', 'month' and 'day' and as many #' rows as the length of vector `x`. offset2date = function(x) { .julian_offset2date(x + private$rd) } ) ) # ============================================================================== # The below functions use arithmetic offset calculation from date parts and # vice-versa. These functions are R-ified from pseudo-functions in Reingold & # Derschowitz, "Calendrical Calculations", 2018. #' Dates to offset, from function `fixed-from-julian()` #' #' @param x `data.frame` with columns "year", "month" and "date" #' @param leapyear Logical vector of the same length as `x` has rows indicating #' for each row in `x` if this is a leap year. #' @return Integer vector of offsets for the dates in `x`. The offsets are #' relative to the day before 0001-01-01. #' @noRd .julian_date2offset <- function(x, leapyear) { year1 <- x$year - 1L corr <- ifelse(x$month <= 2L, 0L, as.integer(leapyear) - 2L) 365L * year1 + year1 %/% 4L + (367L * x$month - 362L) %/% 12L + corr + x$day - 2L } #' Offsets to dates, from function `julian-from-fixed()` and support functions. #' #' @param x Integer vector of offsets. The offsets must be relative to the day #' before 0001-01-01. #' @return `data.frame` with date elements "year", "month" and "day". #' @noRd .julian_offset2date <- function(x) { yr <- (4 * (x + 1L) + 1464L) %/% 1461L leapyear <- yr %% 4L == 0L yr1 <- yr - 1L jan1 <- -2L + 365L * yr1 + yr1 %/% 4L + 1L prior_days <- x - jan1 + ifelse(x < jan1 + 59L + as.integer(leapyear), 0L, 2L - as.integer(leapyear)) mon <- (12L * prior_days + 373L) %/% 367L day <- x - .julian_date2offset(data.frame(year = yr, month = mon, day = 1), leapyear) + 1L data.frame(year = yr, month = mon, day = day) } CFtime/R/api.R0000644000176200001440000012420415062525234012525 0ustar liggesusers#' Create a CFTime object #' #' This function creates an instance of the [CFTime] class. The arguments to the #' call are typically read from a CF-compliant data file with climatological #' observations or climate projections. Specification of arguments can also be #' made manually in a variety of combinations. #' #' A time series can also be constructed like a sequence. In this case argument #' `offsets` should be `NULL` or missing and arguments `from` and `by` provided, #' with either of arguments `to` or `length.out` indicating the end of the time #' series. Arguments should be named to avoid ambiguity. #' #' @param definition A character string describing the time coordinate. #' @param calendar A character string describing the calendar to use with the #' time dimension definition string. Default value is "standard". #' @param offsets Numeric or character vector, optional. When numeric, a vector #' of offsets from the origin in the time series. When a character vector, #' timestamps in ISO8601 or UDUNITS format. #' @param from,to Optional. Character timestamps in ISO8601 or UDUNITS format. #' When `from` is given, a sequence of timestamps is generated with `from` as #' the starting timestamp. Either argument `to` or `length.out` must be #' provided as well. Ignored when argument `offsets` is not `NULL`. #' @param by Optional. A single character string representing a time interval, #' composed of a number and a time unit separated by a space, such as in "6 #' hours". When argument `from` is supplied, argument `by` will be the #' separation between successive timestamps. Note that the time unit in the #' string does not have to be the same as the unit in the `definition` #' argument but it must be an allowable unit of time. Time interval units of #' "months" and "years" are strongly discouraged unless the same time unit is #' used in the `definition` argument - in all other cases there is a loss of #' precision due to the ambiguity in the time units. #' @param length.out Optional. An numeric value that indicates the lengths of #' the time series to generate, rounded up if fractional. Ignored when #' argument `to` is provided. #' @returns An instance of the `CFTime` class. #' @export #' @name CFtime-function #' @examples #' # Using numeric offset values - this is how a netCDF file works #' CFtime("days since 1850-01-01", "julian", 0:364) #' #' # A time object with a single defined timestamp #' CFtime("hours since 2023-01-01", "360_day", "2023-01-30T23:00") #' #' # A time series from a sequence with an end point #' CFtime("days since 2023-01-01", from = "2020-01-01", to = "2023-12-31", by = "12 days") #' #' # A time series from a sequence with a specified length #' CFtime("days since 2023-01-01", from = "2020-01-01T03:00:00", by = "6 hr", length.out = 31 * 4) CFtime <- function(definition, calendar = "standard", offsets, from, to, by, length.out) { if (missing(offsets)) { if (missing(from)) # Barebones CFTime without offsets CFTime$new(definition, calendar) else { if (missing(by)) stop("When argument `from` is provided, argument `by` must be provided too.", call. = FALSE) else if (!is.character(from) || length(from) > 1L) stop("Argument `from` must be a single character timestamp value.", call. = FALSE) else t <- CFTime$new(definition, calendar, from) # Process argument `by` intv <- NA; intv_unit <- integer(0) if (is.character(by) && length(by) == 1L) { parts <- strsplit(by, " ", fixed = TRUE)[[1L]] if (length(parts) == 2L) { intv_unit <- CFt$CFunits[CFt$CFunits$unit == parts[2L], ]$id suppressWarnings(intv <- as.numeric(parts[1L])) } } if (is.na(intv) || !length(intv_unit)) stop("Argument `by` is an invalid time interval.", call. = FALSE) doff <- intv * CFt$units$seconds[intv_unit] / CFt$units$seconds[t$cal$unit] # End point of the time series from_off <- t$offsets # There is only a single offset at this point if (missing(to)) { if (missing(length.out)) stop("One of arguments `to` or `length.out` must be supplied.", call. = FALSE) # Time series with a given length t + seq(from = from_off + doff, by = doff, length.out = length.out[1L] - 1L) } else { # Time series up to a finishing point to_off <- t$cal$parse(to[1L])$offset if (is.na(to_off)) stop("Argument `to` must be a single character timestamp value.") t + seq(from = from_off + doff, to = to_off, by = doff) } } } else CFTime$new(definition, calendar, offsets) } # ============================================================================== # Functions to access CFTime properties and methods #' @aliases properties #' @title Properties of a CFTime object #' #' @description These functions return the properties of an instance of the #' [CFTime] class. The properties are all read-only, but offsets can be added #' using the `+` operator. #' #' @param t An instance of `CFTime`. #' #' @returns `calendar()` and `unit()` return a character string. #' `origin()` returns a data frame of timestamp elements with a single row #' of data. `timezone()` returns the calendar time zone as a character #' string. `offsets()` returns a vector of offsets or `NULL` if no offsets #' have been set. #' #' @examples #' t <- CFtime("days since 1850-01-01", "julian", 0:364) #' definition(t) #' calendar(t) #' unit(t) #' timezone(t) #' origin(t) #' offsets(t) #' resolution(t) #' @describeIn properties The definition string of the `CFTime` instance. #' @export definition <- function(t) t$cal$definition #' @describeIn properties The calendar of the `CFTime` instance. #' @export calendar <- function(t) t$cal$name #' @describeIn properties The unit of the `CFTime` instance. #' @export unit <- function(t) t$unit #' @describeIn properties The origin of the `CFTime` instance in timestamp elements. #' @export origin <- function(t) t$cal$origin #' @describeIn properties The time zone of the calendar of the `CFTime` instance as a character string. #' @export timezone <- function(t) t$cal$timezone #' @describeIn properties The offsets of the `CFTime` instance as a numeric vector. #' @export offsets <- function(t) t$offsets #' @describeIn properties The average separation between the offsets in the `CFTime` instance. #' @export resolution <- function(t) t$resolution #' Bounds of the time offsets #' #' CF-compliant netCDF files store time information as a single offset value for #' each step along the dimension, typically centered on the valid interval of #' the data (e.g. 12-noon for day data). Optionally, the lower and upper values #' of the valid interval are stored in a so-called "bounds" variable, as an #' array with two rows (lower and higher value) and a column for each offset. #' With function `bounds()<-` those bounds can be set for a `CFTime` instance. #' The bounds can be retrieved with the `bounds()` function. #' #' @param x A `CFTime` instance. #' @param format Optional. A single string with format specifiers, see #' [CFtime::format()] for details. #' @return If bounds have been set, an array of bounds values with dimensions #' `(2, length(offsets))`. The first row gives the lower bound, the second row #' the upper bound, with each column representing an offset of `x`. If the #' `format` argument is specified, the bounds values are returned as strings #' according to the format. `NULL` when no bounds have been set. #' @aliases bounds #' @export #' @examples #' t <- CFtime("days since 2024-01-01", "standard", seq(0.5, by = 1, length.out = 366)) #' as_timestamp(t)[1:3] #' bounds(t) <- rbind(0:365, 1:366) #' bounds(t)[, 1:3] #' bounds(t, "%d-%b-%Y")[, 1:3] bounds <- function(x, format) { x$get_bounds(format) } #' @rdname bounds #' @param value A `matrix` (or `array`) with dimensions (2, length(offsets)) #' giving the lower (first row) and higher (second row) bounds of each offset #' (this is the format that the CF Metadata Conventions uses for storage in #' netCDF files). Use `NULL` to unset any previously set bounds. #' @export `bounds<-` <- function(x, value) { x$set_bounds(value) x } #' The length of the offsets contained in the `CFTime` instance. #' #' @param x The `CFTime` instance whose length will be returned #' #' @return The number of offsets in the specified `CFTime` instance. #' @export #' #' @examples #' t <- CFtime("days since 1850-01-01", "julian", 0:364) #' length(t) length.CFTime <- function(x) base::length(x$offsets) #' Return the timestamps contained in the `CFTime` instance #' @param x The `CFTime` instance whose timestamps will be returned. #' @param ... Ignored. #' @return The timestamps in the specified `CFTime` instance. #' @export #' @examples #' t <- CFtime("days since 1850-01-01", "julian", 0:364) #' as.character(t) as.character.CFTime <- function(x, ...) { x$as_timestamp() } #' Format the timestamps in the `CFTime` instance #' #' The formatting is largely oblivious to locale. The reason for this is #' that certain dates in certain calendars are not POSIX-compliant and the #' system functions necessary for locale information thus do not work #' consistently. The main exception to this is the (abbreviated) names of #' months (`bB`), which could be useful for pretty printing in the local #' language. For separators and other locale-specific adornments, use #' local knowledge instead of depending on system locale settings; e.g. #' specify `%m/%d/%Y` instead of `%D`. #' #' Week information, including weekday names, is not supported at all as a #' "week" is not defined for non-standard CF calendars and not generally #' useful for climate projection data. If you are working with observed #' data and want to get pretty week formats, use the [as_timestamp()] #' method to generate `POSIXct` timestamps (observed data generally uses a #' "standard" calendar) and then use the [base::format()] function which #' supports the full set of specifiers. #' @param x The `CFTime` instance whose timestamps will be formatted. #' @param format A character string. The default for the format methods is #' "%Y-%m-%dT%H:%M:%S" if any timestamp has a time component which is not #' midnight, and "%Y-%m-%d" otherwise. The only supported specifiers are #' `bBdeFhHImMpRSTYz%`. Modifiers `E` and `O` are silently ignored. Other #' specifiers, including their percent sign, are copied to the output as if #' they were adorning text. #' @param tz Ignored. #' @param usetz Logical. Should the time zone offset be appended to the output? #' This is always in numerical form, i.e. "-0800", from UTC. #' @param ... Ignored. format.CFTime <- function(x, format = "", tz = "", usetz = FALSE, ...) { x$format(format, usetz) } #' Create a factor for a `CFTime` instance #' #' Method for [base::cut()] applied to [CFTime] objects. #' #' When `breaks` is one of `"year", "season", "quarter", "month", "dekad", #' "day"` a factor is generated like by [CFfactor()]. #' #' When `breaks` is a vector of character timestamps a factor is produced with a #' level for every interval between timestamps. The last timestamp, therefore, #' is only used to close the interval started by the pen-ultimate timestamp - #' use a distant timestamp (e.g. `range(x)[2]`) to ensure that all offsets to #' the end of the `CFTime` time series are included, if so desired. The last #' timestamp will become the upper bound in the `CFTime` instance that is #' returned as an attribute to this function so a sensible value for the last #' timestamp is advisable. #' #' This method works similar to [base::cut.POSIXt()] but there are some #' differences in the arguments: for `breaks` the set of options is different #' and no preceding integer is allowed, `labels` are always assigned using #' values of `breaks`, and the interval is always left-closed. #' #' @param x An instance of `CFTime`. #' @param breaks A character string of a factor period (see [CFfactor()] for a #' description), or a character vector of timestamps that conform to the #' calendar of `x`, with a length of at least 2. Timestamps must be given in #' ISO8601 format, e.g. "2024-04-10 21:31:43". #' @param ... Ignored. #' @returns A factor with levels according to the `breaks` argument, with #' attributes 'period', 'era' and 'CFTime'. When `breaks` is a factor #' period, attribute 'period' has that value, otherwise it is '"day"'. When #' `breaks` is a character vector of timestamps, attribute 'CFTime' holds an #' instance of `CFTime` that has the same definition as `x`, but with (ordered) #' offsets generated from the `breaks`. Attribute 'era' is always -1. #' @aliases cut #' @seealso [CFfactor()] produces a factor for several fixed periods, including #' for eras. #' @export #' @examples #' x <- CFtime("days since 2021-01-01", "365_day", 0:729) #' breaks <- c("2022-02-01", "2021-12-01", "2023-01-01") #' cut(x, breaks) cut.CFTime <- function (x, breaks, ...) { if (!inherits(x, "CFTime")) stop("Argument 'x' must be a CFTime instance", call. = FALSE) # nocov x$cut(breaks) } #' Find the index of timestamps in the time series #' #' Find the index in the time series for each timestamp given in argument `x`. #' Values of `x` that are before the earliest value or after the latest value in #' `y` will be returned as `NA`. Alternatively, when `x` is a numeric vector of #' index values, return the valid indices of the same vector, with the side #' effect being the attribute "CFTime" associated with the result. #' #' Timestamps can be provided as vectors of character strings, `POSIXct` or #' `Date.` #' #' Matching also returns index values for timestamps that fall between two #' elements of the time series - this can lead to surprising results when time #' series elements are positioned in the middle of an interval (as the CF #' Metadata Conventions instruct us to "reasonably assume"): a time series of #' days in January would be encoded in a netCDF file as #' `c("2024-01-01 12:00:00", "2024-01-02 12:00:00", "2024-01-03 12:00:00", ...)` #' so `x <- c("2024-01-01", "2024-01-02", "2024-01-03")` would result in #' `(NA, 1, 2)` (or `(NA, 1.5, 2.5)` with `method = "linear"`) because the date #' values in `x` are at midnight. This situation is easily avoided by ensuring #' that `y` has bounds set (use `bounds(y) <- TRUE` as a proximate solution if #' bounds are not stored in the netCDF file). See the Examples. #' #' If bounds are set, the indices are informed by those bounds. If the #' bounds are not contiguous, returned values may be `NA` even if the #' value of `x` falls between two valid timestamps. #' #' Values of `x` that are not valid timestamps according to the calendar of `y` #' will be returned as `NA`. #' #' `x` can also be a numeric vector of index values, in which case the valid #' values in `x` are returned. If negative values are passed, the positive #' counterparts will be excluded and then the remainder returned. Positive and #' negative values may not be mixed. Using a numeric vector has the side effect #' that the result has the attribute "CFTime" describing the temporal dimension #' of the slice. If index values outside of the range of `y` (`1:length(y)`) are #' provided, an error will be thrown. #' #' @param x Vector of `character`, `POSIXt` or `Date` values to find indices #' for, or a numeric vector. #' @param y A [CFTime] instance. #' @param method Single value of "constant" or "linear". If `"constant"` or when #' bounds are set on argument `y`, return the index value for each match. If #' `"linear"`, return the index value with any fractional value. #' @param rightmost.closed Whether or not to include the upper limit of #' argument `x`. Default is `FALSE`. This argument is ignored when #' argument `x` contains index values. #' @return A numeric vector giving indices into `y` for the values of #' `x`. If there is at least 1 valid index, then attribute "CFTime" #' contains an instance of `CFTime` that describes the dimension of #' filtering the dataset associated with `y` with the result of this #' method, excluding any `NA` values. #' @export #' #' @examples #' cf <- CFtime("days since 2020-01-01", "360_day", 1440:1799 + 0.5) #' as_timestamp(cf)[1:3] #' x <- c("2024-01-01", "2024-01-02", "2024-01-03") #' indexOf(x, cf) #' indexOf(x, cf, method = "linear") #' #' bounds(cf) <- TRUE #' indexOf(x, cf) #' #' # Non-existent calendar day in a `360_day` calendar #' x <- c("2024-03-30", "2024-03-31", "2024-04-01") #' indexOf(x, cf) #' #' # Numeric x #' indexOf(c(29, 30, 31), cf) indexOf <- function(x, y, method = "constant", rightmost.closed = FALSE) { y$indexOf(x, method, rightmost.closed) } #' Extreme time series values #' #' Character representation of the extreme values in the time series. #' #' @param x An instance of the [CFTime] class. #' @param format A character string with format specifiers, optional. If it is #' missing or an empty string, the most economical ISO8601 format is chosen: #' "date" when no time information is present in `x`, "timestamp" otherwise. #' Otherwise a suitable format specifier can be provided. #' @param bounds Logical to indicate if the extremes from the bounds should be #' used, if set. Defaults to `FALSE`. #' @param ... Ignored. #' @param na.rm Ignored. #' @return Vector of two character representations of the extremes of the time #' series. #' @export #' @examples #' cf <- CFtime("days since 1850-01-01", "julian", 0:364) #' range(cf) #' range(cf, "%Y-%b-%e") range.CFTime <- function(x, format = "", bounds = FALSE, ..., na.rm = FALSE) { x$range(format, bounds) } #' Indicates if the time series is complete #' #' This function indicates if the time series is complete, meaning that the time #' steps are equally spaced and there are thus no gaps in the time series. #' #' This function gives exact results for time series where the nominal #' *unit of separation* between observations in the time series is exact in #' terms of the calendar unit. As an example, for a calendar unit of "days" where the #' observations are spaced a fixed number of days apart the result is exact, but #' if the same calendar unit is used for data that is on a monthly basis, the #' *assessment* is approximate because the number of days per month is variable #' and dependent on the calendar (the exception being the `360_day` calendar, #' where the assessment is exact). The *result* is still correct in most cases #' (including all CF-compliant data sets that the developers have seen) although #' there may be esoteric constructions of CFTime and offsets that trip up this #' implementation. #' #' @param x An instance of the [CFTime] class. #' @returns logical. `TRUE` if the time series is complete, with no gaps; #' `FALSE` otherwise. If no offsets have been added to the `CFTime` instance, #' `NA` is returned. #' @export #' @examples #' t <- CFtime("days since 1850-01-01", "julian", 0:364) #' is_complete(t) is_complete <- function(x) { if (!inherits(x, "CFTime")) stop("Argument must be an instance of `CFTime`", call. = FALSE) x$equidistant() } #' Which time steps fall within extreme values #' #' Given a vector of character timestamps, return a logical vector of a length #' equal to the number of time steps in the time series with values `TRUE` for #' those time steps that fall between the two extreme values of the vector #' values, `FALSE` otherwise. #' #' If bounds were set these will be preserved. #' #' @param x The `CFTime` instance to operate on. #' @param extremes Character vector of timestamps that represent the time period #' of interest. The extreme values are selected. Badly formatted timestamps #' are silently dropped. #' @param rightmost.closed Is the right side closed, i.e. included in the #' result? Default is `FALSE`. A specification of `c("2022-01-01", #' "2023-01-01)` will thus include all time steps that fall in the year 2022 #' when `closed = FALSE` but include `2023-01-01` if that exact value is #' present in the time series. #' @returns A logical vector with a length equal to the number of time steps in #' `x` with values `TRUE` for those time steps that fall between the extreme #' values, `FALSE` otherwise. #' #' An attribute 'CFTime' will have the same definition as `x` but with offsets #' corresponding to the time steps falling between the two extremes. If there #' are no values between the extremes, the attribute is `NULL`. #' @export #' @examples #' t <- CFtime("hours since 2023-01-01 00:00:00", "standard", 0:23) #' slice(t, c("2022-12-01", "2023-01-01 03:00")) slice <- function(x, extremes, rightmost.closed = FALSE) { if (!inherits(x, "CFTime")) stop("First argument must be an instance of `CFTime`", call. = FALSE) x$slice(extremes, rightmost.closed) } #' Equivalence of CFTime objects #' #' This operator can be used to test if two [CFTime] objects represent the same #' CF-convention time coordinates. Two `CFTime` objects are considered equivalent #' if they have an equivalent calendar and the same offsets. #' #' @param e1,e2 Instances of the `CFTime` class. #' @returns `TRUE` if the `CFTime` objects are equivalent, `FALSE` otherwise. #' @export #' @aliases CFtime-equivalent #' @examples #' e1 <- CFtime("days since 1850-01-01", "gregorian", 0:364) #' e2 <- CFtime("days since 1850-01-01 00:00:00", "standard", 0:364) #' e1 == e2 "==.CFTime" <- function(e1, e2) e1$cal$is_equivalent(e2$cal) && length(e1$offsets) == length(e2$offsets) && all(e1$offsets == e2$offsets) #' Extend a CFTime object #' #' A [CFTime] instance can be extended with this operator, using values from #' another `CFTime` instance, or a vector of numeric offsets or character #' timestamps. If the values come from another `CFTime` instance, the calendars #' of the two instances must be compatible If the calendars of the `CFTime` #' instances are not compatible, an error is thrown. #' #' The resulting `CFTime` instance will have the offsets of the original #' `CFTime` instance, appended with offsets from argument `e2` in the order that #' they are specified. If the new sequence of offsets is not monotonically #' increasing a warning is generated (the COARDS metadata convention requires #' offsets to be monotonically increasing). #' #' There is no reordering or removal of duplicates. This is because the time #' series are usually associated with a data set and the correspondence between #' the data in the files and the `CFTime` instance is thus preserved. When #' merging the data sets described by this time series, the order must be #' identical to the merging here. #' #' Note that when adding multiple vectors of offsets to a `CFTime` instance, it #' is more efficient to first concatenate the vectors and then do a final #' addition to the `CFTime` instance. So avoid #' `CFtime(definition, calendar, e1) + CFtime(definition, calendar, e2) + CFtime(definition, calendar, e3) + ...` #' but rather do `CFtime(definition, calendar) + c(e1, e2, e3, ...)`. It is the #' responsibility of the operator to ensure that the offsets of the different #' data sets are in reference to the same calendar. #' #' Note also that `RNetCDF` and `ncdf4` packages both return the values of the #' "time" dimension as a 1-dimensional array. You have to `dim(time_values) <- #' NULL` to de-class the array to a vector before adding offsets to an existing #' `CFtime` instance. #' #' Any bounds that were set will be removed. Use [bounds()] to retrieve the #' bounds of the individual `CFTime` instances and then set them again after #' merging the two instances. #' #' @param e1 Instance of the `CFTime` class. #' @param e2 Instance of the `CFTime` class with a calendar compatible with that #' of argument `e1`, or a numeric vector with offsets from the origin of #' argument `e1`, or a vector of `character` timestamps in ISO8601 or UDUNITS #' format. #' @returns A `CFTime` object with the offsets of argument `e1` extended by the #' values from argument `e2`. #' @export #' @aliases CFtime-merge #' @examples #' e1 <- CFtime("days since 1850-01-01", "gregorian", 0:364) #' e2 <- CFtime("days since 1850-01-01 00:00:00", "standard", 365:729) #' e1 + e2 "+.CFTime" <- function(e1, e2) { if (inherits(e2, "CFTime")) { if (!e1$cal$is_compatible(e2$cal)) stop("Calendars not compatible", call. = FALSE) # nocov if (all(e1$cal$origin[1:6] == e2$cal$origin[1:6])) CFTime$new(e1$cal$definition, e1$cal$name, c(e1$offsets, e2$offsets)) else { diff <- e1$cal$parse(paste(e2$cal$origin_date, e2$cal$origin_time))$offset CFTime$new(e1$cal$definition, e1$cal$name, c(e1$offsets, e2$offsets + diff)) } } else if (is.numeric(e2) && .validOffsets(e2)) { CFTime$new(e1$cal$definition, e1$cal$name, c(e1$offsets, e2)) } else { time <- e1$cal$parse(e2) if (anyNA(time$year)) stop("Argument `e2` contains invalid timestamps", call. = FALSE) # nocov CFTime$new(e1$cal$definition, e1$cal$name, c(e1$offsets, time$offset)) } } # ============================================================================== # Factors and coverage #' Create a factor from the offsets in a `CFTime` instance #' #' With this function a factor can be generated for the time series, or a part #' thereof, contained in the [CFTime] instance. This is specifically interesting #' for creating factors from the date part of the time series that aggregate the #' time series into longer time periods (such as month) that can then be used to #' process daily CF data sets using, for instance, `tapply()`. #' #' The factor will respect the calendar that the time series is built on. For #' `period`s longer than a day this will result in a factor where the calendar #' is no longer relevant (because calendars impacts days, not dekads, months, #' quarters, seasons or years). #' #' The factor will be generated in the order of the offsets of the `CFTime` #' instance. While typical CF-compliant data sources use ordered time series #' there is, however, no guarantee that the factor is ordered as multiple #' `CFTime` objects may have been merged out of order. For most processing with #' a factor the ordering is of no concern. #' #' If the `era` parameter is specified, either as a vector of years to include #' in the factor, or as a list of such vectors, the factor will only consider #' those values in the time series that fall within the list of years, inclusive #' of boundary values. Other values in the factor will be set to `NA`. The years #' need not be contiguous, within a single vector or among the list items, or in #' order. #' #' The following periods are supported by this function: #' #' \itemize{ #' \item `year`, the year of each offset is returned as "YYYY". #' \item `season`, the meteorological season of each offset is returned as #' "Sx", with x being 1-4, preceeded by "YYYY" if no `era` is #' specified. Note that December dates are labeled as belonging to the #' subsequent year, so the date "2020-12-01" yields "2021S1". This implies #' that for standard CMIP files having one or more full years of data the #' first season will have data for the first two months (January and #' February), while the final season will have only a single month of data #' (December). #' \item `quarter`, the calendar quarter of each offset is returned as "Qx", #' with x being 1-4, preceeded by "YYYY" if no `era` is specified. #' \item `month`, the month of each offset is returned as "01" to #' "12", preceeded by "YYYY-" if no `era` is specified. This is the default #' period. #' \item `dekad`, ten-day periods are returned as #' "Dxx", where xx runs from "01" to "36", preceeded by "YYYY" if no `era` #' is specified. Each month is subdivided in dekads as follows: 1- days 01 - #' 10; 2- days 11 - 20; 3- remainder of the month. #' \item `day`, the month and day of each offset are returned as "MM-DD", #' preceeded by "YYYY-" if no `era` is specified. #' } #' #' It is not possible to create a factor for a period that is shorter than the #' temporal resolution of the source data set from which the `t` argument #' derives. As an example, if the source data set has monthly data, a dekad or #' day factor cannot be created. #' #' Creating factors for other periods is not supported by this function. Factors #' based on the timestamp information and not dependent on the calendar can #' trivially be constructed from the output of the [as_timestamp()] function. #' #' For non-era factors the attribute 'CFTime' of the result contains a `CFTime` #' instance that is valid for the result of applying the factor to a data set #' that the `t` argument is associated with. In other words, if `CFTime` #' instance 'At' describes the temporal dimension of data set 'A' and a factor #' 'Af' is generated like `Af <- CFfactor(At)`, then `Bt <- attr(Af, "CFTime")` #' describes the temporal dimension of the result of, say, #' `B <- apply(A, 1:2, tapply, Af, FUN)`. The 'CFTime' attribute is `NULL` for #' era factors. #' #' @param t An instance of the `CFTime` class whose offsets will be used to #' construct the factor. #' @param period character. A character string with one of the values "year", #' "season", "quarter", "month" (the default), "dekad" or "day". #' @param era numeric or list, optional. Vector of years for which to #' construct the factor, or a list whose elements are each a vector of years. #' If `era` is not specified, the factor will use the entire time series for #' the factor. #' #' @returns If `era` is a single vector or not specified, a factor with a #' length equal to the number of offsets in `t`. If `era` is a list, a list #' with the same number of elements and names as `era`, each containing a #' factor. Elements in the factor will be set to `NA` for time series values #' outside of the range of specified years. #' #' The factor, or factors in the list, have attributes 'period', 'era' and #' 'CFTime'. Attribute 'period' holds the value of the `period` argument. #' Attribute 'era' indicates the number of years that are included in the #' era, or -1 if no `era` is provided. Attribute 'CFTime' holds an #' instance of `CFTime` that has the same definition as `t`, but with offsets #' corresponding to the mid-point of non-era factor levels; if the `era` #' argument is specified, attribute 'CFTime' is `NULL`. #' @seealso [cut()] creates a non-era factor for arbitrary cut points. #' @export #' #' @examples #' t <- CFtime("days since 1949-12-01", "360_day", 19830:54029) #' #' # Create a dekad factor for the whole time series #' f <- CFfactor(t, "dekad") #' #' # Create three monthly factors for early, mid and late 21st century eras #' ep <- CFfactor(t, era = list(early = 2021:2040, mid = 2041:2060, late = 2061:2080)) CFfactor <- function(t, period = "month", era = NULL) { if (!(inherits(t, "CFTime"))) stop("First argument to CFfactor() must be an instance of the `CFTime` class", call. = FALSE) # nocov t$factor(period, era) } #' Number of base time units in each factor level #' #' Given a factor as returned by [CFfactor()] and the [CFTime] instance from #' which the factor was derived, this function will return a numeric vector with #' the number of time units in each level of the factor. #' #' The result of this function is useful to convert between absolute and #' relative values. Climate change anomalies, for instance, are usually computed #' by differencing average values between a future period and a baseline period. #' Going from average values back to absolute values for an aggregate period #' (which is typical for temperature and precipitation, among other variables) #' is easily done with the result of this function, without having to consider #' the specifics of the calendar of the data set. #' #' If the factor `f` is for an era (e.g. spanning multiple years and the #' levels do not indicate the specific year), then the result will indicate the #' number of time units of the period in a regular single year. In other words, #' for an era of 2041-2060 and a monthly factor on a standard calendar with a #' `days` unit, the result will be `c(31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31)`. #' Leap days are thus only considered for the `366_day` and `all_leap` calendars. #' #' Note that this function gives the number of time units in each level of the #' factor - the actual number of data points in the `cf` instance per factor #' level may be different. Use [CFfactor_coverage()] to determine the actual #' number of data points or the coverage of data points relative to the factor #' level. #' #' @param t An instance of `CFTime`. #' @param f A factor or a list of factors derived from the #' parameter `t`. The factor or list thereof should generally be generated by #' the function [CFfactor()]. #' #' @returns If `f` is a factor, a numeric vector with a length equal to the #' number of levels in the factor, indicating the number of time units in each #' level of the factor. If `f` is a list of factors, a list with each element #' a numeric vector as above. #' @export #' #' @examples #' t <- CFtime("days since 2001-01-01", "365_day", 0:364) #' f <- CFfactor(t, "dekad") #' CFfactor_units(t, f) CFfactor_units <- function(t, f) { if (!inherits(t, "CFTime")) stop("First argument to `CFfactor_units()` must be an instance of the `CFTime` class", call. = FALSE) t$factor_units(f) } #' Coverage of time elements for each factor level #' #' This function calculates the number of time elements, or the relative #' coverage, in each level of a factor generated by [CFfactor()]. #' #' @param t An instance of [CFTime]. #' @param f factor or list. A factor or a list of factors derived from the #' parameter `t`. The factor or list thereof should generally be generated by #' the function [CFfactor()]. #' @param coverage "absolute" or "relative". #' @returns If `f` is a factor, a numeric vector with a length equal to the #' number of levels in the factor, indicating the number of units from the #' time series in `t` contained in each level of the factor when #' `coverage = "absolute"` or the proportion of units present relative to the #' maximum number when `coverage = "relative"`. If `f` is a list of factors, a #' list with each element a numeric vector as above. #' @export #' #' @examples #' t <- CFtime("days since 2001-01-01", "365_day", 0:364) #' f <- CFfactor(t, "dekad") #' CFfactor_coverage(t, f, "absolute") CFfactor_coverage <- function(t, f, coverage = "absolute") { if (!inherits(t, "CFTime")) stop("First argument to `CFfactor_coverage()` must be an instance of the `CFTime` class", call. = FALSE) # nocov t$factor_coverage(f, coverage) } # ============================================================================== # Regular functions #' Create a vector that represents CF timestamps #' #' This function generates a vector of character strings or `POSIXct`s that #' represent the date and time in a selectable combination for each offset. #' #' The character strings use the format `YYYY-MM-DDThh:mm:ss±hhmm`, depending on #' the `format` specifier. The date in the string is not necessarily compatible #' with `POSIXt` - in the `360_day` calendar `2017-02-30` is valid and #' `2017-03-31` is not. #' #' For the "proleptic_gregorian" calendar the output can also be generated as a #' vector of `POSIXct` values by specifying `asPOSIX = TRUE`. The same is #' possible for the "standard" and "gregorian" calendars but only if all #' timestamps fall on or after 1582-10-15. #' #' @param t The `CFTime` instance that contains the offsets to use. #' @param format character. A character string with either of the values "date" #' or "timestamp". If the argument is not specified, the format used is #' "timestamp" if there is time information, "date" otherwise. #' @param asPOSIX logical. If `TRUE`, for "standard", "gregorian" and #' "proleptic_gregorian" calendars the output is a vector of `POSIXct` - for #' other calendars an error will be thrown. Default value is `FALSE`. #' @seealso The [CFTime] `format()` method gives greater flexibility through #' the use of `strptime`-like format specifiers. #' @returns A character vector where each element represents a moment in time #' according to the `format` specifier. #' @export #' @examples #' t <- CFtime("hours since 2020-01-01", "standard", seq(0, 24, by = 0.25)) #' as_timestamp(t, "timestamp") #' #' t2 <- CFtime("days since 2002-01-21", "standard", 0:20) #' tail(as_timestamp(t2, asPOSIX = TRUE)) #' #' tail(as_timestamp(t2)) #' #' tail(as_timestamp(t2 + 1.5)) as_timestamp <- function(t, format = NULL, asPOSIX = FALSE) { if (!(inherits(t, "CFTime"))) stop("First argument to `as_timestamp()` must be an instance of the `CFTime` class", call. = FALSE) t$as_timestamp(format, asPOSIX) } #' Return the number of days in a month given a certain CF calendar #' #' Given a vector of dates as strings in ISO 8601 or UDUNITS format and a #' [CFTime] object, this function will return a vector of the same length as the #' dates, indicating the number of days in the month according to the calendar #' specification. If no vector of days is supplied, the function will return an #' integer vector of length 12 with the number of days for each month of the #' calendar (disregarding the leap day for `standard` and `julian` calendars). #' #' @param t The `CFTime` instance to use. #' @param x character. An optional vector of dates as strings with format #' `YYYY-MM-DD`. Any time part will be silently ingested. #' #' @returns A vector indicating the number of days in each month for the vector #' of dates supplied as argument `x`. Invalidly specified dates will result in #' an `NA` value. If no dates are supplied, the number of days per month for #' the calendar as a vector of length 12. #' #' @export #' @seealso When working with factors generated by [CFfactor()], it is usually #' better to use [CFfactor_units()] as that will consider leap days for #' non-era factors. [CFfactor_units()] can also work with other time periods #' and calendar units, such as "hours per month", or "days per season". #' @examples #' dates <- c("2021-11-27", "2021-12-10", "2022-01-14", "2022-02-18") #' t <- CFtime("days since 1850-01-01", "standard") #' month_days(t, dates) #' #' t <- CFtime("days since 1850-01-01", "360_day") #' month_days(t, dates) #' #' t <- CFtime("days since 1850-01-01", "all_leap") #' month_days(t, dates) #' #' month_days(t) month_days <- function(t, x = NULL) { stopifnot(inherits(t, "CFTime")) if (is.null(x)) return(t$cal$month_days()) else { if (!(is.character(x))) stop("Argument `x` must be a character vector of dates in 'YYYY-MM-DD' format") ymd <- t$cal$parse(x) if (anyNA(ymd$year)) warning("Some dates could not be parsed. Result contains `NA` values.", call. = FALSE) return(t$cal$month_days(ymd)) } } #' Parse series of timestamps in CF format to date-time elements #' #' This function will parse a vector of timestamps in ISO8601 or UDUNITS format #' into a data frame with columns for the elements of the timestamp: year, #' month, day, hour, minute, second, time zone. Those timestamps that could not #' be parsed or which represent an invalid date in the indicated `CFtime` #' instance will have `NA` values for the elements of the offending timestamp #' (which will generate a warning). #' #' The supported formats are the *broken timestamp* format from the UDUNITS #' library and ISO8601 *extended*, both with minor changes, as suggested by the #' CF Metadata Conventions. In general, the format is `YYYY-MM-DD hh:mm:ss.sss #' hh:mm`. The year can be from 1 to 4 digits and is interpreted literally, so #' `79-10-24` is the day Mount Vesuvius erupted and destroyed Pompeii, not #' `1979-10-24`. The year and month are mandatory, all other fields are #' optional. There are defaults for all missing values, following the UDUNITS #' and CF Metadata Conventions. Leading zeros can be omitted in the UDUNITS #' format, but not in the ISO8601 format. The optional fractional part can have #' as many digits as the precision calls for and will be applied to the smallest #' specified time unit. In the result of this function, if the fraction is #' associated with the minute or the hour, it is converted into a regular #' `hh:mm:ss.sss` format, i.e. any fraction in the result is always associated #' with the second, rounded down to milli-second accuracy. The separator between #' the date and the time can be a single whitespace character or a `T`. #' #' The time zone is optional and should have at least the hour or `Z` if #' present, the minute is optional. The time zone hour can have an optional #' sign. In the UDUNITS format the separator between the time and the time zone #' must be a single whitespace character, in ISO8601 there is no separation #' between the time and the timezone. Time zone names are not supported (as #' neither UDUNITS nor ISO8601 support them) and will cause parsing to fail when #' supplied, with one exception: the designator "UTC" is silently dropped (i.e. #' interpreted as "00:00"). #' #' Currently only the extended formats (with separators between the elements) #' are supported. The vector of timestamps may have any combination of ISO8601 #' and UDUNITS formats. #' #' @param t An instance of `CFTime` to use when parsing the date. #' @param x Vector of character strings representing timestamps in #' ISO8601 extended or UDUNITS broken format. #' @returns A `data.frame` with constituent elements of the parsed timestamps in #' numeric format. The columns are year, month, day, hour, minute, second #' (with an optional fraction), time zone (character string), and the #' corresponding offset value from the origin. Invalid input data will appear #' as `NA` - if this is the case, a warning message will be displayed - other #' missing information on input will use default values. #' @importFrom stats na.omit #' @export #' @examples #' t <- CFtime("days since 0001-01-01", "proleptic_gregorian") #' #' # This will have `NA`s on output and generate a warning #' timestamps <- c("2012-01-01T12:21:34Z", "12-1-23", "today", #' "2022-08-16T11:07:34.45-10", "2022-08-16 10.5+04") #' parse_timestamps(t, timestamps) parse_timestamps <- function(t, x) { stopifnot(is.character(x), inherits(t, "CFTime")) if (t$cal$unit > 4) stop("Parsing of timestamps on a 'month' or 'year' time unit is not supported.", call. = FALSE) out <- t$cal$parse(x) if (anyNA(out$year)) warning("Some dates could not be parsed. Result contains `NA` values.") # nocov if (length(unique(na.omit(out$tz))) > 1) warning("Timestamps have multiple time zones. Some or all may be different from the calendar time zone.") # nocov else if (out$tz[1] != t$cal$timezone) warning("Timestamps have time zone that is different from the calendar.") # nocov out } CFtime/R/CFtime.R0000644000176200001440000014431515076704551013136 0ustar liggesusers#' @title CFTime class #' #' @description This class manages the "time" dimension of netCDF files that #' follow the CF Metadata Conventions, and its productive use in R. #' #' The class has a field `cal` which holds a specific calendar from the #' allowed types (all named calendars are supported). The calendar is #' also implemented as a (hidden) class which converts netCDF file encodings to #' timestamps as character strings, and vice-versa. Bounds information (the #' period of time over which a timestamp is valid) is used when defined in the #' netCDF file. #' #' Additionally, this class has functions to ease use of the netCDF "time" #' information when processing data from netCDF files. Filtering and indexing of #' time values is supported, as is the generation of factors. #' #' @export #' @references #' https://cfconventions.org/Data/cf-conventions/cf-conventions-1.12/cf-conventions.html#time-coordinate #' @docType class CFTime <- R6::R6Class("CFTime", private = list( # The boundary values of the time instance. .bounds = NULL ), public = list( #' @field cal The calendar of this `CFTime` instance, a descendant of the #' [CFCalendar] class. cal = NULL, #' @field offsets A numeric vector of offsets from the origin of the #' calendar. offsets = numeric(), #' @field resolution The average number of time units between offsets. resolution = NA_real_, #' @description Create a new instance of this class. #' @param definition Character string of the units and origin of the #' calendar. #' @param calendar Character string of the calendar to use. Must be one of #' the values permitted by the CF Metadata Conventions. If `NULL`, the #' "standard" calendar will be used. #' @param offsets Numeric or character vector, optional. When numeric, a #' vector of offsets from the origin in the time series. When a character #' vector of length 2 or more, timestamps in ISO8601 or UDUNITS format. initialize = function(definition, calendar = "standard", offsets = NULL) { if (is.null(calendar)) calendar <- "standard" # This may occur when "calendar" attribute is not defined in the NC file calendar <- tolower(calendar) self$cal <- switch(calendar, "standard" = CFCalendarStandard$new(calendar, definition), "gregorian" = CFCalendarStandard$new(calendar, definition), "proleptic_gregorian" = CFCalendarProleptic$new(calendar, definition), "tai" = CFCalendarTAI$new(calendar, definition), "utc" = CFCalendarUTC$new(calendar, definition), "julian" = CFCalendarJulian$new(calendar, definition), "360_day" = CFCalendar360$new(calendar, definition), "365_day" = CFCalendar365$new(calendar, definition), "noleap" = CFCalendar365$new(calendar, definition), "366_day" = CFCalendar366$new(calendar, definition), "all_leap" = CFCalendar366$new(calendar, definition), "none" = CFCalendarNone$new(calendar, definition), stop("Invalid calendar specification", call. = FALSE) ) if (is.null(offsets)) return() if (is.numeric(offsets)) { dim(offsets) <- NULL stopifnot(.validOffsets(offsets)) if (length(offsets) > 1L) { self$resolution <- (max(offsets) - min(offsets)) / (length(offsets) - 1L) if (any(diff(offsets) <= 0)) warning("Offsets not monotonically increasing.", call. = FALSE) } else { self$resolution <- NA_real_ } self$offsets <- as.numeric(offsets) } else if (is.character(offsets)) { time <- self$cal$parse(offsets) if (anyNA(time$year)) stop("Argument `offsets` contains invalid timestamps", call. = FALSE) # nocov self$offsets <- time$offset if (length(offsets) > 1L) self$resolution <- (max(self$offsets) - min(self$offsets)) / (length(self$offsets) - 1L) else self$resolution <- NA_real_ if (any(diff(self$offsets) <= 0)) warning("Offsets not monotonically increasing.", call. = FALSE) } else if (!is.null(offsets)) stop("Invalid offsets for CFTime object", call. = FALSE) }, #' @description Print a summary of the `CFTime` object to the console. #' @param ... Ignored. #' @return Self, invisibly. print = function(...) { noff <- length(self$offsets) if (noff == 0L) { el <- " Elements: (no elements)\n" b <- " Bounds : (not set)\n" } else { d <- self$range() if (inherits(self$cal, "CFCalendarNone")) { el <- if (noff > 1L) { sprintf(" Elements: Series of %d elements at %s\n", noff, d[1L]) } else paste(" Element : One element at", d[1L], "\n") } else { el <- if (noff > 1L) { sprintf(" Elements: [%s .. %s] (average of %f %s between %d elements)\n", d[1L], d[2L], self$resolution, paste0(if (self$cal$prefix_id) CFt$prefixes$name[self$cal$prefix_id], CFt$units$name[self$cal$unit]), noff) } else paste(" Element :", d[1L], "\n") } b <- if (is.null(private$.bounds)) " Bounds : not set\n" else " Bounds : set\n" } self$cal$print() cat("\nTime series:\n", el, b, sep = "") invisible(self) }, #' @description This method returns the first and last timestamp of the time #' series as a vector. Note that the offsets do not have to be sorted. #' @param format Value of "date" or "timestamp". Optionally, a #' character string that specifies an alternate format. #' @param bounds Logical to indicate if the extremes from the bounds should #' be used, if set. Defaults to `FALSE`. #' @return Vector of two character strings that represent the starting and #' ending timestamps in the time series. If a `format` is supplied, that #' format will be used. Otherwise, if all of the timestamps in the time #' series have a time component of `00:00:00` the date of the timestamp is #' returned, otherwise the full timestamp (without any time zone #' information). range = function(format = "", bounds = FALSE) { if (length(self$offsets) == 0L) return(c(NA_character_, NA_character_)) if (!missing(format) && ((!is.character(format)) || length(format) != 1L)) stop("`format` argument, when present, must be a character string with formatting specifiers", call. = FALSE) # nocov if (!is.logical(bounds) || length(bounds) != 1L) stop("`bounds` argument, when present, must be a single logical value", call. = FALSE) # nocov if (bounds) { bnds <- private$.bounds if (is.null(bnds)) time <- self$cal$offsets2time(base::range(self$offsets)) else time <- self$cal$offsets2time(c(bnds[1L, 1L], bnds[2L, length(self$offsets)])) } else time <- self$cal$offsets2time(base::range(self$offsets)) .format_format(time, self$cal$timezone, format) }, #' @description This method generates a vector of character strings or #' `POSIXct`s that represent the date and time in a selectable combination #' for each offset. #' #' The character strings use the format `YYYY-MM-DDThh:mm:ss±hhmm`, #' depending on the `format` specifier. The date in the string is not #' necessarily compatible with `POSIXt` - in the `360_day` calendar #' `2017-02-30` is valid and `2017-03-31` is not. #' #' For the "proleptic_gregorian" calendar the output can also be generated #' as a vector of `POSIXct` values by specifying `asPOSIX = TRUE`. The #' same is possible for the "standard" and "gregorian" calendars but only #' if all timestamps fall on or after 1582-10-15. If `asPOSIX = TRUE` is #' specified while the calendar does not support it, an error will be #' generated. #' @param format character. A character string with either of the values #' "date" or "timestamp". If the argument is not specified, the format #' used is "timestamp" if there is time information, "date" otherwise. #' @param asPOSIX logical. If `TRUE`, for "standard", "gregorian" and #' "proleptic_gregorian" calendars the output is a vector of `POSIXct` - #' for other calendars an error will be thrown. Default value is `FALSE`. #' @return A character vector where each element represents a moment in #' time according to the `format` specifier. as_timestamp = function(format = NULL, asPOSIX = FALSE) { if (asPOSIX && !self$cal$POSIX_compatible(self$offsets)) stop("Cannot make a POSIX timestamp with this calendar.", call. = FALSE) if (length(self$offsets) == 0L) return() time <- self$cal$offsets2time(self$offsets) if (is.null(format)) format <- ifelse(self$cal$unit < 4L || .has_time(time), "timestamp", "date") else if (!(format %in% c("date", "timestamp"))) stop("Format specifier not recognized", call. = FALSE) # nocov if (asPOSIX) { if (format == "date") ISOdate(time$year, time$month, time$day, 0L, tz = "UTC") else ISOdatetime(time$year, time$month, time$day, time$hour, time$minute, time$second, tz = "UTC") } else .format_format(time, self$cal$timezone, format) }, #' @description Format timestamps using a specific format string, using the #' specifiers defined for the [base::strptime()] function, with #' limitations. The only supported specifiers are `bBdeFhHImMpRSTYz%`. #' Modifiers `E` and `O` are silently ignored. Other specifiers, including #' their percent sign, are copied to the output as if they were adorning #' text. #' #' The formatting is largely oblivious to locale. The reason for this is #' that certain dates in certain calendars are not POSIX-compliant and the #' system functions necessary for locale information thus do not work #' consistently. The main exception to this is the (abbreviated) names of #' months (`bB`), which could be useful for pretty printing in the local #' language. For separators and other locale-specific adornments, use #' local knowledge instead of depending on system locale settings; e.g. #' specify `%m/%d/%Y` instead of `%D`. #' #' Week information, including weekday names, is not supported at all as a #' "week" is not defined for non-standard CF calendars and not generally #' useful for climate projection data. If you are working with observed #' data and want to get pretty week formats, use the [as_timestamp()] #' method to generate `POSIXct` timestamps (observed data generally uses a #' "standard" calendar) and then use the [base::format()] function which #' supports the full set of specifiers. #' @param format A character string with `strptime` format specifiers. If #' omitted, the most economical format will be used: a full timestamp when #' time information is available, a date otherwise. #' @param usetz Logical. Should the time zone offset be appended to the #' output? This is always in numerical form, i.e. "-0800", from UTC. #' Default is `FALSE`. #' @return A vector of character strings with a properly formatted #' timestamp. Any format specifiers not recognized or supported will be #' returned verbatim. format = function(format, usetz = FALSE) { if (length(self$offsets) == 0L) return(character(0L)) if (missing(format)) format <- "" else if (!is.character(format) || length(format) != 1L) stop("`format` argument must be a character string with formatting specifiers", call. = FALSE) ts <- self$cal$offsets2time(self$offsets) if ((usetz || grepl("%z$", format)) && .has_time(ts)) { tz <- self$cal$timezone if (!grepl("%z$", format)) format <- paste0(format, "%z") } else tz <- "" .format_format(ts, tz, format) }, #' @description Find the index in the time series for each timestamp given #' in argument `x`. Alternatively, when `x` is a numeric vector of index #' values, return the valid indices of the same vector, with the side #' effect being the attribute "CFTime" associated with the result. #' #' Matching also returns index values for timestamps that fall between two #' elements of the time series - this can lead to surprising results when #' time series elements are positioned in the middle of an interval (as #' the CF Metadata Conventions instruct us to "reasonably assume"): a time #' series of days in January would be encoded in a netCDF file as #' `c("2024-01-01 12:00:00", "2024-01-02 12:00:00", "2024-01-03 12:00:00", #' ...)` so `x <- c("2024-01-01", "2024-01-02", "2024-01-03")` would #' result in `(NA, 1, 2)` (or `(NA, 1.5, 2.5)` with `method = "linear"`) #' because the date values in `x` are at midnight. This situation is #' easily avoided by ensuring that this `CFTime` instance has bounds set #' (use `bounds(y) <- TRUE` as a proximate solution if bounds are not #' stored in the netCDF file). #' #' If bounds are set, the indices are informed by those bounds. If the #' bounds are not contiguous, returned values may be `NA` even if the #' value of `x` falls between two valid timestamps. #' #' Values of `x` that are not valid timestamps according to the calendar #' of this `CFTime` instance will be returned as `NA`. #' #' Argument `x` can also be a numeric vector of index values, in which #' case the valid values in `x` are returned. If negative values are #' passed, the positive counterparts will be excluded and then the #' remainder returned. Positive and negative values may not be mixed. #' Using a numeric vector has the side effect that the result has the #' attribute "CFTime" describing the temporal dimension of the slice. If #' index values outside of the range of `self` are provided, an error will #' be thrown. #' @param x Vector of `character`, `POSIXt` or `Date` values to find indices #' for, or a `numeric` vector. #' @param method Single value of "constant" or "linear". If `"constant"`, #' return the index value for each match. If `"linear"`, return the index #' value with any fractional value. #' @param rightmost.closed Whether or not to include the upper limit of #' argument `x`. Default is `FALSE`. This argument is ignored when #' argument `x` contains index values. #' @return A numeric vector giving indices into `self` for the valid values #' of `x`. If there is at least 1 valid index, then attribute "CFTime" #' contains an instance of `CFTime` that describes the dimension of #' filtering the dataset associated with `self` with the result of this #' method, excluding any `NA` values. indexOf = function(x, method = "constant", rightmost.closed = FALSE) { stopifnot(inherits(x, c("character", "POSIXt", "Date")) || is.numeric(x), method %in% c("constant", "linear")) if (is.numeric(x)) { if (!(all(x < 0, na.rm = TRUE) || all(x > 0, na.rm = TRUE))) stop("Cannot mix positive and negative index values", call. = FALSE) intv <- (1:length(self$offsets))[x] xoff <- self$offsets[x] } else { if (self$cal$unit > 4L) stop("Parsing of timestamps on a 'month' or 'year' time unit is not supported.", call. = FALSE) xoff <- self$cal$parse(as.character(x))$offset vals <- self$offsets bnds <- self$get_bounds() if (!is.null(bnds)) { # Axis has bounds so get the closest coordinate first, allow for extremes intv <- .round(stats::approx(vals, 1L:length(vals), xoff, method = "linear", rule = 2)$y) # Test that xoff falls within the bounds of the coordinates valid <- if (rightmost.closed) (bnds[1L, intv] <= xoff) & (xoff <= bnds[2L, intv]) else (bnds[1L, intv] <= xoff) & (xoff < bnds[2L, intv]) intv[!valid] <- NA } else { intv <- stats::approx(vals, 1L:length(vals), xoff, method = method)$y if (!rightmost.closed) intv[xoff == vals[length(vals)]] <- NA intv } } valid <- which(!is.na(intv)) if (any(valid)) { t <- CFTime$new(self$cal$definition, self$cal$name, xoff[valid]) bnds <- private$.bounds if (!is.null(bnds)) t$set_bounds(bnds[, intv[valid], drop = FALSE]) attr(intv, "CFTime") <- t } intv }, #' @description Return boundary values. #' @param format A string specifying a format for output, optional. #' @return An array with `dims(2, length(offsets))` with values for the #' boundaries. `NULL` if the boundaries have not been set. get_bounds = function(format) { bnds <- private$.bounds if (is.null(bnds) || missing(format)) return(bnds) ts <- self$cal$offsets2time(as.vector(bnds)) b <- .format_format(ts, self$cal$timezone, format) dim(b) <- dim(bnds) b }, #' @description Set or delete the boundary values of the `CFTime` instance. #' @param value The boundary values to set, in units of the offsets. A #' matrix `(2, length(self$offsets))`. If `NULL`, the boundaries are #' deleted. If `TRUE`, make regular, consecutive boundaries. #' @return Self, invisibly. set_bounds = function(value) { if (is.null(value) || isFALSE(value)) private$.bounds <- NULL else if (isTRUE(value)) { len <- length(self$offsets) b <- seq(from = self$offsets[1L] - self$resolution * 0.5, by = self$resolution, length.out = len + 1L) private$.bounds <- rbind(b[1L:len], b[2L:(len+1L)]) } else { off <- self$offsets len <- length(off) warn <- NULL if (len == 0L) warn <- "Cannot set boundary values when there are no offsets" else if (is.matrix(value) && is.numeric(value)) { if (!all(dim(value) == c(2L, len))) warn <- "Replacement boundary values array has incorrect dimensions" } else warn <- "Replacement boundary values must be a numeric matrix or a single logical value" if (is.null(warn) && !(all(value[2L,] >= off) && all(off >= value[1L,]))) warn <- "Values of the replacement boundary values must surround the offset values" if (is.null(warn)) private$.bounds <- value else warning(warn, call. = FALSE) } invisible(self) }, #' @description This method returns `TRUE` if the time series has uniformly #' distributed time steps between the extreme values, `FALSE` otherwise. #' First test without sorting; this should work for most data sets. If #' not, only then offsets are sorted. For most data sets that will work #' but for implied resolutions of month, season, year, etc based on a #' "days" or finer calendar unit this will fail due to the fact that those #' coarser units have a variable number of days per time step, in all #' calendars except for `360_day`. For now, an approximate solution is #' used that should work in all but the most non-conformal exotic #' arrangements. #' @return `TRUE` if all time steps are equidistant, `FALSE` otherwise, or #' `NA` if no offsets have been set. equidistant = function() { if (length(self$offsets) == 0L) return(NA) out <- all(diff(self$offsets) == self$resolution) if (!out) { doff <- diff(sort(self$offsets)) out <- all(doff == self$resolution) if (!out) { # Don't try to make sense of totally non-standard arrangements such as # calendar units "years" or "months" describing sub-daily time steps. # Also, 360_day calendar should be well-behaved so we don't want to get here. if (self$cal$unit > 4L || inherits(self$cal, "CFCalendar360")) return(FALSE) # Check if we have monthly or yearly data on a finer-scale calendar # This is all rather approximate but should be fine in most cases # This accommodates middle-of-the-time-period offsets as per the # CF Metadata Conventions # Please report problems at https://github.com/R-CF/CFtime/issues ddays <- range(doff) * CFt$units$per_day[self$cal$unit] return((ddays[1] >= 28 && ddays[2] <= 31) || # months (ddays[1] >= 8 && ddays[2] <= 11) || # dekads (ddays[1] >= 90 && ddays[2] <= 92) || # seasons, quarters (ddays[1] >= 365 && ddays[2] <= 366)) # years } } out }, #' @description Given a vector of character timestamps, return a logical #' vector of a length equal to the number of time steps in the time series #' with values `TRUE` for those time steps that fall between the two #' extreme values of the vector values, `FALSE` otherwise. #' @param extremes Character vector of timestamps that represent the #' time period of interest. The extreme values are selected. Badly #' formatted timestamps are silently dropped. #' @param closed Is the right side closed, i.e. included in the result? #' Default is `FALSE`. A specification of `c("2022-01-01", "2023-01-01)` #' will thus include all time steps that fall in the year 2022 when #' `closed = FALSE` but include `2023-01-01` if that exact value is #' present in the time series. #' @return A logical vector with a length equal to the number of time steps #' in `self` with values `TRUE` for those time steps that fall between the #' extreme values, `FALSE` otherwise. #' #' An attribute 'CFTime' will have the same definition as `self` but with #' offsets corresponding to the time steps falling between the two #' extremes. If there are no values between the extremes, the attribute is #' not set. slice = function(extremes, closed = FALSE) { if (!is.character(extremes) || length(extremes) < 1L) stop("Second argument must be a character vector of at least one timestamp.", call. = FALSE) # nocov off <- self$offsets roff <- range(off) ext <- range(self$cal$parse(extremes)$offset, na.rm = TRUE) if (all(is.na(ext)) || ext[1L] > roff[2L] || ext[2L] < roff[1L]) out <- rep(FALSE, length(off)) else { if (ext[1L] == ext[2L]) closed <- TRUE out <- if (closed) off >= ext[1L] & off <= ext[2L] else off >= ext[1L] & off < ext[2L] if (any(out)) { t <- CFTime$new(self$cal$definition, self$cal$name, off[out]) bnds <- private$.bounds if (!is.null(bnds)) t$set_bounds(bnds[, out, drop = FALSE]) attr(out, "CFTime") <- t } else out <- rep(FALSE, length(off)) # nocov } out }, #' @description Can the time series be converted to POSIXt? #' @return `TRUE` if the calendar support conversion to POSIXt, `FALSE` #' otherwise. POSIX_compatible = function() { self$cal$POSIX_compatible(self$offsets) }, #' @description Create a factor for a `CFTime` instance. #' #' When argument `breaks` is one of `"year", "season", "quarter", "month", #' "dekad", "day"`, a factor is generated like by [CFfactor()]. When #' `breaks` is a vector of character timestamps a factor is produced with #' a level for every interval between timestamps. The last timestamp, #' therefore, is only used to close the interval started by the #' pen-ultimate timestamp - use a distant timestamp (e.g. `range(x)[2]`) #' to ensure that all offsets to the end of the CFTime time series are #' included, if so desired. The last timestamp will become the upper bound #' in the `CFTime` instance that is returned as an attribute to this #' function so a sensible value for the last timestamp is advisable. #' #' This method works similar to [base::cut.POSIXt()] but there are some #' differences in the arguments: for `breaks` the set of options is #' different and no preceding integer is allowed, `labels` are always #' assigned using values of `breaks`, and the interval is always #' left-closed. #' @param breaks A character string of a factor period (see [CFfactor()] for #' a description), or a character vector of timestamps that conform to the #' calendar of `x`, with a length of at least 2. Timestamps must be given #' in ISO8601 format, e.g. "2024-04-10 21:31:43". #' @return A factor with levels according to the `breaks` argument, with #' attributes 'period', 'era' and 'CFTime'. When `breaks` is a factor #' period, attribute 'period' has that value, otherwise it is '"day"'. #' When `breaks` is a character vector of timestamps, attribute 'CFTime' #' holds an instance of `CFTime` that has the same definition as `x`, but #' with (ordered) offsets generated from the `breaks`. Attribute 'era' #' is always -1. cut = function(breaks) { if (missing(breaks) || !is.character(breaks) || (len <- length(breaks)) < 1L) stop("Argument 'breaks' must be a character vector with at least 1 value", call. = FALSE) # nocov if(len == 1L) { breaks <- sub("s$", "", tolower(breaks)) if (breaks %in% CFt$factor_periods) return(self$factor(breaks)) else stop("Invalid specification of 'breaks'", call. = FALSE) # nocov } # breaks is a character vector of multiple timestamps if (self$cal$unit > 4L) stop("Factorizing on a 'month' or 'year' time unit is not supported", call. = FALSE) # nocov time <- self$cal$parse(breaks) if (anyNA(time$year)) stop("Invalid specification of 'breaks'", call. = FALSE) # nocov sorted <- order(time$offset) ooff <- time$offset[sorted] intv <- findInterval(self$offsets, ooff) intv[which(intv %in% c(0L, len))] <- NA f <- factor(intv, labels = breaks[sorted][1L:(len-1L)]) # Attributes bnds <- rbind(ooff[1L:(len-1L)], ooff[2L:len]) off <- bnds[1L, ] + (bnds[2L, ] - bnds[1L, ]) * 0.5 t <- CFTime$new(self$cal$definition, self$cal$name, off) t$set_bounds(bnds) attr(f, "period") <- "day" attr(f, "era") <- -1L attr(f, "CFTime") <- t f }, #' @description Generate a factor for the offsets, or a part thereof. This #' is specifically interesting for creating factors from the date part of #' the time series that aggregate the time series into longer time periods #' (such as month) that can then be used to process daily CF data sets #' using, for instance, `tapply()`. #' #' The factor will respect the calendar that the time series is built on. #' #' The factor will be generated in the order of the offsets. While typical #' CF-compliant data sources use ordered time series there is, however, no #' guarantee that the factor is ordered. For most processing with a factor #' the ordering is of no concern. #' #' If the `era` parameter is specified, either as a vector of years to #' include in the factor, or as a list of such vectors, the factor will #' only consider those values in the time series that fall within the list #' of years, inclusive of boundary values. Other values in the factor will #' be set to `NA`. #' #' The following periods are supported by this method: #' #' \itemize{ #' \item `year`, the year of each offset is returned as "YYYY". #' \item `season`, the meteorological season of each offset is returned as #' "Sx", with x being 1-4, preceeded by "YYYY" if no `era` is #' specified. Note that December dates are labeled as belonging to the #' subsequent year, so the date "2020-12-01" yields "2021S1". This implies #' that for standard CMIP files having one or more full years of data the #' first season will have data for the first two months (January and #' February), while the final season will have only a single month of data #' (December). #' \item `quarter`, the calendar quarter of each offset is returned as "Qx", #' with x being 1-4, preceeded by "YYYY" if no `era` is specified. #' \item `month`, the month of each offset is returned as "01" to #' "12", preceeded by "YYYY-" if no `era` is specified. This is the default #' period. #' \item `dekad`, ten-day periods are returned as #' "Dxx", where xx runs from "01" to "36", preceeded by "YYYY" if no `era` #' is specified. Each month is subdivided in dekads as follows: 1- days 01 - #' 10; 2- days 11 - 20; 3- remainder of the month. #' \item `day`, the month and day of each offset are returned as "MM-DD", #' preceeded by "YYYY-" if no `era` is specified. #' } #' #' It is not possible to create a factor for a period that is shorter than #' the temporal resolution of the calendar. As an example, if the calendar #' has a monthly unit, a dekad or day factor cannot be created. #' #' Creating factors for other periods is not supported by this method. #' Factors based on the timestamp information and not dependent on the #' calendar can trivially be constructed from the output of the #' [as_timestamp()] function. #' #' Attribute 'CFTime' of the result contains a `CFTime` instance that is #' valid for the result of applying the factor to a resource that this #' instance is associated with. In other words, if `CFTime` instance 'At' #' describes the temporal dimension of resource 'A' and a factor 'Af' is #' generated from `Af <- At$factor()`, then `Bt <- attr(Af, "CFTime")` #' describes the temporal dimension of the result of, say, `B <- apply(A, #' 1:2, tapply, Af, FUN)`. The 'CFTime' attribute contains a #' [CFClimatology] instance for era factors. #' @param period character. A character string with one of the values #' "year", "season", "quarter", "month" (the default), "dekad" or "day". #' @param era numeric or list, optional. Vector of years for which to #' construct the factor, or a list whose elements are each a vector of #' years. The extreme values of the supplied vector will be used. Note #' that if a single year is specified that the result is valid, but not a #' climatological statistic. If `era` is not specified, the factor will #' use the entire time series for the factor. #' @return If `era` is a single vector or `NULL`, a factor with a length #' equal to the number of offsets in this instance. If `era` is a list, a #' list with the same number of elements and names as `era`, each #' containing a factor. Elements in the factor will be set to `NA` for #' time series values outside of the range of specified years. #' #' The factor, or factors in the list, have attributes 'period', 'era' and #' 'CFTime'. Attribute 'period' holds the value of the `period` argument. #' Attribute 'era' indicates the number of years that are included in the #' era, or -1 if no `era` is provided. Attribute 'CFTime' holds an #' instance of `CFTime` or `CFClimatology` that has the same definition as #' this instance, but with offsets corresponding to the mid-point of the #' factor levels. factor = function(period = "month", era = NULL) { if (length(self$offsets) < 10L) stop("Cannot create a factor for very short time series", call. = FALSE) # nocov period <- tolower(period) if (!((length(period) == 1L) && (period %in% CFt$factor_periods))) stop("Period specifier must be a single value of a supported period", call. = FALSE) # nocov # No fine-grained period factors for coarse source data timestep <- CFt$units$seconds[self$cal$unit] * self$resolution; if ((period == "year") && (timestep > 86400 * 366) || (period %in% c("season", "quarter")) && (timestep > 86400 * 90) || # Somewhat arbitrary (period == "month") && (timestep > 86400 * 31) || (period == "dekad") && (timestep > 86400) || # Must be constructed from daily or finer data (period == "day") && (timestep > 86400)) # Must be no longer than a day stop("Cannot produce a short period factor from source data with long time interval", call. = FALSE) # nocov time <- self$cal$offsets2time(self$offsets) months <- c("01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12") if (is.null(era)) { # Create the factor for the specified period as well as bounds dates for a # new CFtime instance for the factor. Lower bounds for the factor level is # easy, upper bound of last level takes effort. switch(period, "year" = { out <- as.factor(sprintf("%04d", time$year)) l <- levels(out) dt <- c(paste0(l, "-01-01"), sprintf("%04d-01-01", as.integer(l[nlevels(out)]) + 1L)) }, "season" = { if (!requireNamespace("stringr")) stop("Must install package `stringr` to use this functionality.", call. = FALSE) # nocov out <- as.factor( ifelse(time$month == 12L, sprintf("%04dS1", time$year + 1L), sprintf("%04dS%d", time$year, time$month %/% 3L + 1L))) l <- levels(out) dt <- ifelse(substr(l, 6L, 6L) == "1", paste0(as.integer(substr(l, 1L, 4L)) - 1L, "-12-01"), stringr::str_replace_all(l, c("S2" = "-03-01", "S3" = "-06-01", "S4" = "-09-01"))) ll <- l[nlevels(out)] lp <- as.integer(substr(ll, 6L, 6L)) if (lp == 1L) dt <- c(dt, sprintf("%04d-03-01", as.integer(substr(ll, 1L, 4L)))) else dt <- c(dt, sprintf("%s-%02d-01", substr(ll, 1L, 4L), lp * 3L)) }, "quarter" = { if (!requireNamespace("stringr")) stop("Must install package `stringr` to use this functionality.", call. = FALSE) # nocov out <- as.factor(sprintf("%04dQ%d", time$year, (time$month - 1L) %/% 3L + 1L)) l <- levels(out) dt <- stringr::str_replace_all(l, c("Q1" = "-01-01", "Q2" = "-04-01", "Q3" = "-07-01", "Q4" = "-10-01")) ll <- l[nlevels(out)] lp <- as.integer(substr(ll, 6L, 6L)) if (lp == 4L) dt <- c(dt, sprintf("%04d-01-01", as.integer(substr(ll, 1L, 4L)) + 1L)) else dt <- c(dt, sprintf("%s-%02d-01", substr(ll, 1L, 4L), lp * 3L + 1L)) }, "month" = { out <- as.factor(sprintf("%04d-%s", time$year, months[time$month])) l <- levels(out) dt <- paste0(l, "-01") ll <- l[nlevels(out)] lp <- as.integer(substr(ll, 6L, 7L)) if (lp == 12L) dt <- c(dt, sprintf("%04d-01-01", as.integer(substr(ll, 1L, 4L)) + 1L)) else dt <- c(dt, sprintf("%s-%02d-01", substr(ll, 1L, 4L), lp + 1L)) }, "dekad" = { out <- as.factor(sprintf("%04dD%02d", time$year, (time$month - 1L) * 3L + pmin.int((time$day - 1L) %/% 10L + 1L, 3L))) l <- levels(out) dk <- as.integer(substr(l, 6L, 7L)) - 1L dt <- sprintf("%s-%02d-%s", substr(l, 1L, 4L), dk %/% 3L + 1L, c("01", "11", "21")[dk %% 3L + 1L]) ll <- l[nlevels(out)] lp <- as.integer(substr(ll, 6L, 7L)) yr <- as.integer(substr(ll, 1L, 4L)) if (lp == 36L) dt <- c(dt, sprintf("%04d-01-01", yr + 1L)) else dt <- c(dt, sprintf("%04d-%02d-%s", yr, lp %/% 3L + 1L, c("01", "11", "21")[lp %% 3L + 1L])) }, "day" = { out <- as.factor(sprintf("%04d-%02d-%02d", time$year, time$month, time$day)) final <- levels(out)[nlevels(out)] yr <- as.integer(substring(final, 1, 4)) mon <- as.integer(substring(final, 6, 7)) day <- as.integer(substring(final, 9, 10)) post <- self$cal$add_day(data.frame(year = yr, month = mon, day = day)) post <- sprintf("%04d-%02d-%02d", post$year, post$month, post$day) dt <- c(levels(out), post) } ) # Convert bounds dates to an array of offsets, find mid-points, create new CFTime instance off <- self$cal$parse(dt)$offset off[is.na(off)] <- 0 # This can happen only when the time series starts at or close to the origin, for seasons noff <- length(off) bnds <- rbind(off[1L:(noff - 1L)], off[2L:noff]) off <- bnds[1L,] + (bnds[2L,] - bnds[1L,]) * 0.5 new_time <- CFTime$new(self$cal$definition, self$cal$name, off) new_time$set_bounds(bnds) # Bind attributes to the factor attr(out, "era") <- -1L attr(out, "period") <- period attr(out, "CFTime") <- new_time return(out) } # Era factor if (is.numeric(era)) ep <- list(era) else if ((is.list(era) && all(unlist(lapply(era, is.numeric))))) ep <- era else stop("When specified, the `era` parameter must be a numeric vector or a list thereof", call. = FALSE) out <- lapply(ep, function(years) { years <- as.integer(years) yrs <- range(years) mid_yr <- as.integer(yrs[1L] + (yrs[2L] - yrs[1L]) * 0.5) switch(period, "year" = { f <- as.factor(ifelse(time$year %in% years, sprintf("%04d", time$year), NA_character_)) n <- nlevels(f) if (n > 0L) { off <- self$cal$parse(paste0(levels(f), "-07-01"))$offset last <- as.integer(levels(f)[n]) + 1L bnds <- c(rep(paste0(levels(f)[1L], "-01-01"), n), rep(paste0(last, "-01-01"), n)) } }, "season" = { f <- as.factor(ifelse((time$month == 12L) & ((time$year + 1L) %in% years), "S1", ifelse((time$month < 12L) & (time$year %in% years), sprintf("S%d", time$month %/% 3L + 1L), NA_character_))) if (nlevels(f) > 0L) { s <- as.integer(substr(levels(f), 2, 2)) mid_s <- c("-01-16T12", "-04-16", "-07-16T12", "-10-16T12") off <- self$cal$parse(paste0(mid_yr, mid_s[s]))$offset bnds <- c(ifelse(s == 1L, sprintf("%d-12-01", yrs[1L] - 1L), sprintf("%d-%02d-01", yrs[1L], (s - 1L) * 3L)), sprintf("%d-%02d-01", yrs[2L], s * 3L)) } }, "quarter" = { f <- as.factor(ifelse(time$year %in% years, sprintf("Q%d", (time$month - 1L) %/% 3L + 1L), NA_character_)) if (nlevels(f) > 0L) { q <- as.integer(substr(levels(f), 2, 2)) mid_q <- c("-02-15", "-05-16T12", "-08-16T12", "-11-16") off <- self$cal$parse(paste0(mid_yr, mid_q[q]))$offset bnds <- c(sprintf("%d-%02d-01", yrs[1L], (q - 1L) * 3L + 1L), ifelse(q == 4L, sprintf("%d-01-01", yrs[2L] + 1L), sprintf("%d-%02d-01", yrs[2L], q * 3L + 1L))) } }, "month" = { f <- as.factor(ifelse(time$year %in% years, months[time$month], NA_character_)) if (nlevels(f) > 0L) { mons <- as.numeric(levels(f)) mid_mon <- c("-16T12", "-15", "-16T12", "-16", "-16T12", "-16", "-16T12", "-16T12", "-16", "-16T12", "-16", "-16T12") off <- self$cal$parse(paste0(mid_yr, "-", levels(f), mid_mon[mons]))$offset bnds <- c(paste0(yrs[1L], "-", levels(f), "-01"), ifelse(mons == 12L, sprintf("%d-01-01", yrs[2L] + 1L), sprintf("%d-%02d-01", yrs[2L], mons + 1L))) } }, "dekad" = { f <- as.factor(ifelse(time$year %in% years, sprintf("D%02d", (time$month - 1L) * 3L + pmin.int((time$day - 1L) %/% 10L + 1L, 3L)), NA_character_)) if (nlevels(f) > 0L) { dek <- as.integer(substr(levels(f), 2, 3)) mon <- (dek - 1L) %/% 3L + 1L mid_dek <- c("06", "16", "26T12", "06", "16", "25", "06", "16", "26T12", "06", "16", "26", "06", "16", "26T12", "06", "16", "26", "06", "16", "26T12", "06", "16", "26T12", "06", "16", "26", "06", "16", "26T12", "06", "16", "26", "06", "16", "26T12") off <- self$cal$parse(sprintf("%d-%02d-%s", mid_yr, mon, mid_dek[dek]))$offset day <- c("01", "11", "21") y2 <- rep(yrs[2L], length(dek)) m2 <- mon ndx <- which(!(dek %% 3L)) m2[ndx] <- m2[ndx] + 1L ndx <- which(dek == 36L) y2[ndx] <- yrs[2L] + 1L m2[ndx] <- 1L bnds <- c(sprintf("%d-%02d-%s", yrs[1L], mon, day[(dek - 1L) %% 3L + 1L]), sprintf("%d-%02d-%s", y2, m2, day[dek %% 3L + 1L])) } }, "day" = { f <- as.factor(ifelse(time$year %in% years, sprintf("%s-%02d", months[time$month], time$day), NA_character_)) if (nlevels(f) > 0L) { mons <- as.integer(substr(levels(f), 1, 2)) days <- as.integer(substr(levels(f), 4, 5)) off <- self$cal$parse(sprintf("%d-%s-%02dT12", mid_yr, months[mons], days))$offset # Add a day to the calendar for the final year y2off1 <- self$cal$parse(paste0(yrs[2L], "-", levels(f)))$offset + CFt$units$per_day[self$cal$unit] y2off1 <- self$cal$offsets2time(y2off1) bnds <- c(sprintf("%d-%s-%02d", yrs[1L], months[mons], days), sprintf("%d-%02d-%02d", y2off1$year, y2off1$month, y2off1$day)) } } ) attr(f, "era") <- length(years) attr(f, "period") <- period if (nlevels(f) > 0L) { bnds <- matrix(self$cal$parse(bnds)$offset, nrow = 2L, byrow = TRUE) attr(f, "CFTime") <- CFClimatology$new(self$cal$definition, self$cal$name, off, bnds) } f }) if (is.numeric(era)) out <- out[[1L]] else names(out) <- names(era) out }, #' @description Given a factor as produced by `CFTime$factor()`, this method #' will return a numeric vector with the number of time units in each #' level of the factor. #' #' The result of this method is useful to convert between absolute and #' relative values. Climate change anomalies, for instance, are usually #' computed by differencing average values between a future period and a #' baseline period. Going from average values back to absolute values for #' an aggregate period (which is typical for temperature and #' precipitation, among other variables) is easily done with the result of #' this method, without having to consider the specifics of the calendar #' of the data set. #' #' If the factor `f` is for an era (e.g. spanning multiple years and the #' levels do not indicate the specific year), then the result will #' indicate the number of time units of the period in a regular single #' year. In other words, for an era of 2041-2060 and a monthly factor on a #' standard calendar with a `days` unit, the result will be #' `c(31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31)`. Leap days are thus #' only considered for the `366_day` and `all_leap` calendars. #' #' Note that this function gives the number of time units in each level of #' the factor - the actual number of data points in the time series per #' factor level may be different. Use [CFfactor_coverage()] to determine #' the actual number of data points or the coverage of data points #' relative to the factor level. #' @param f A factor or a list of factors derived from the method #' `CFTime$factor()`. #' @return If `f` is a factor, a numeric vector with a length equal to the #' number of levels in the factor, indicating the number of time units in #' each level of the factor. If `f` is a list of factors, a list with each #' element a numeric vector as above. factor_units = function(f) { if (is.list(f)) factors <- f else factors <- list(f) if (!(all(unlist(lapply(factors, function(x) is.factor(x) && is.numeric(attr(x, "era")) && attr(x, "period") %in% CFt$factor_periods))))) stop("Argument `f` must be a factor generated by the method `CFTime$factor()`", call. = FALSE) # nocov out <- lapply(factors, function(fac) .factor_units(fac, self$cal, CFt$units$per_day[self$cal$unit])) if (is.factor(f)) out <- out[[1L]] out }, #' @description Calculate the number of time elements, or the relative #' coverage, in each level of a factor generated by `CFTime$factor()`. #' @param f A factor or a list of factors derived from the method #' `CFTime$factor()`. #' @param coverage "absolute" or "relative". #' @return If `f` is a factor, a numeric vector with a length equal to the #' number of levels in the factor, indicating the number of units from the #' time series contained in each level of the factor when #' `coverage = "absolute"` or the proportion of units present relative to the #' maximum number when `coverage = "relative"`. If `f` is a list of factors, a #' list with each element a numeric vector as above. factor_coverage = function(f, coverage = "absolute") { if (is.list(f)) factors <- f else factors <- list(f) if (!(all(unlist(lapply(factors, function(x) is.factor(x) && is.numeric(attr(x, "era")) && attr(x, "period") %in% CFt$factor_periods))))) stop("Argument `f` must be a factor generated by the method `CFTime$factor()`", call. = FALSE) # nocov if (!(is.character(coverage) && coverage %in% c("absolute", "relative"))) stop("Argument `coverage` must be a character string with a value of 'absolute' or 'relative'", call. = FALSE) # nocov if (coverage == "relative") { out <- lapply(factors, function(fac) { res <- tabulate(fac) / .factor_units(fac, self$cal, CFt$units$per_day[self$cal$unit]) yrs <- attr(fac, "era") if (yrs > 0) res <- res / yrs return(res) }) } else { out <- lapply(factors, tabulate) } if (is.factor(f)) out <- out[[1L]] out }, #' @description Create a copy of the current instance. The copy is #' completely separate from the current instance. #' @return A new `CFTime` instance with identical definition and set of #' timestamps. copy = function() { new_time <- CFTime$new(self$cal$definition, self$cal$name, self$offsets) if (!is.null(private$.bounds)) new_time$set_bounds(private$.bounds) new_time }, #' @description Get a new `CFTime` instance that is a subset of the current #' instance, including any boundary values. #' @param rng The numeric range of indices to subset this instance to. #' @return A new `CFTime` instance with identical definition and set of #' timestamps according to the `rng` argument. subset = function(rng) { rng <- range(rng) if (!is.numeric(rng) || rng[1L] < 1L || rng[2L] > length(self$offsets)) stop("Range to subset is invalid.", call. = FALSE) # nocov new_time <- CFTime$new(self$cal$definition, self$cal$name, self$offsets[rng[1L]:rng[2L]]) if (!is.null(private$.bounds)) new_time$set_bounds(private$.bounds[ , rng[1L]:rng[2L]]) new_time } ), active = list( #' @field calendar (read-only) The calendar of this `CFTime` instance, a #' descendant of the [CFCalendar] class. calendar = function(value) { if (missing(value)) self$cal }, #' @field unit (read-only) The unit string of the calendar and time series. unit = function(value) { if (missing(value)) CFt$units$name[self$cal$unit] }, #' @field length (read-only) Retrieve the number of offsets in the time #' series. length = function(value) { if (missing(value)) length(self$offsets) }, #' @field bounds Retrieve or set the bounds for the offsets. On setting, a #' `matrix` with columns for `offsets` and low values in the first row, #' high values in the second row. This may be simply `TRUE` to set regular #' and consecutive bounds. bounds = function(value) { if (missing(value)) private$.bounds else self$set_bounds(value) }, #' @field friendlyClassName Character string with class name for display #' purposes. friendlyClassName = function(value) { if (missing(value)) "CFTime" } ) ) # ============================================================================== # S3 functions #' Compact display of a CFTime instance #' @param object A `CFTime` instance. #' @param ... Ignored. #' @export str.CFTime <- function(object, ...) { cat(object$friendlyClassName, " with origin [", object$cal$definition, "] using calendar [", object$cal$name, "] having ", length(object$offsets), " offset values", sep = "") } #' Subset a `CFTime` instance by position in the time series #' #' @param x A `CFTime` instance. #' @param i A vector a positive integer values to indicate which values to #' extract from the time series by position. If negative values are passed, #' their positive counterparts will be excluded and then the remainder #' returned. Positive and negative values may not be mixed. #' @param ... Ignored. #' @return A numeric vector with those values of `i` (or the inverse, when #' negative) that are valid in `x`. If there is at least 1 valid result, then #' attribute "CFTime" of the returned value contains an instance of `CFTime` #' that describes the dimension of filtering the dataset associated with `x` #' with the result of this function, excluding any `NA` values. #' @export #' @references https://github.com/R-CF/CFtime/issues/20 "[.CFTime" = function(x, i = TRUE, ...) { x$indexOf(i) } CFtime/R/CFCalendar366.R0000644000176200001440000001031615052370156014133 0ustar liggesusers#' @title 366-day CF calendar #' #' @description This class represents a CF calendar of 366 days per year, having #' leap days in every year. This calendar is not compatible with the standard #' POSIXt calendar. #' #' This calendar supports dates before year 1 and includes the year 0. #' #' @aliases CFCalendar366 #' @docType class CFCalendar366 <- R6::R6Class("CFCalendar366", inherit = CFCalendar, private = list( # Rata Die, the number of days from the day before 0001-01-01 to # origin of this calendar. Used to convert offsets from the calendar origin # to the day before 0001-01-01 for arithmetic calculations. rd = 0L ), public = list( #' @description Create a new CF calendar of 366 days per year. #' @param nm The name of the calendar. This must be "366_day" or "all_leap". #' @param definition The string that defines the units and the origin, as #' per the CF Metadata Conventions. #' @return A new instance of this class. initialize = function(nm, definition) { super$initialize(nm, definition) private$rd <- self$date2offset(self$origin) }, #' @description Indicate which of the supplied dates are valid. #' @param ymd `data.frame` with dates parsed into their parts in columns #' `year`, `month` and `day`. Any other columns are disregarded. #' @return Logical vector with the same length as argument `ymd` has rows #' with `TRUE` for valid days and `FALSE` for invalid days, or `NA` where #' the row in argument `ymd` has `NA` values. valid_days = function(ymd) { !is.na(ymd$year) & ymd$month >= 1L & ymd$month <= 12L & ymd$day >= 1L & ymd$day <= c(31L, 29L, 31L, 30L, 31L, 30L, 31L, 31L, 30L, 31L, 30L, 31L)[ymd$month] }, #' @description Determine the number of days in the month of the calendar. #' @param ymd `data.frame`, optional, with dates parsed into their parts. #' @return A vector indicating the number of days in each month for the #' dates supplied as argument `ymd`. If no dates are supplied, the number #' of days per month for the calendar as a vector of length 12. month_days = function(ymd = NULL) { if (is.null(ymd)) return(c(31L, 29L, 31L, 30L, 31L, 30L, 31L, 31L, 30L, 31L, 30L, 31L)) res <- c(31L, 29L, 31L, 30L, 31L, 30L, 31L, 31L, 30L, 31L, 30L, 31L)[ymd$month] res[which(is.na(ymd$year))] <- NA res }, #' @description Indicate which years are leap years. #' @param yr Integer vector of years to test. #' @return Logical vector with the same length as argument `yr`. Since in #' this calendar all years have a leap day, all values will be `TRUE`, or #' `NA` where argument `yr` is `NA`. leap_year = function(yr) { res <- rep(TRUE, length(yr)) res[which(is.na(yr))] <- NA res }, #' @description Calculate difference in days between a `data.frame` of time #' parts and the origin. #' #' @param x `data.frame`. Dates to calculate the difference for. #' #' @return Integer vector of a length equal to the number of rows in #' argument `x` indicating the number of days between `x` and the `origin`, #' or `NA` for rows in `x` with `NA` values. date2offset = function(x) { corr <- ifelse(x$month <= 2L, 0L, -1L) 366L * (x$year - 1L) + (367L * x$month - 362L) %/% 12L + corr + x$day - private$rd }, #' @description Calculate date parts from day differences from the origin. This #' only deals with days as these are impacted by the calendar. #' Hour-minute-second timestamp parts are handled in [CFCalendar]. #' #' @param x Integer vector of days to add to the origin. #' @return A `data.frame` with columns 'year', 'month' and 'day' and as many #' rows as the length of vector `x`. offset2date = function(x) { d0 <- x - 1L + private$rd # d0 is offset relative to year 0, 0-based yr <- d0 %/% 366L + 1L # full years d1 <- d0 %% 366L # remaining days corr <- ifelse(d1 < 60L, 0L, 1L) # correct for days past February mon <- (12L * (d1 + corr) + 373L) %/% 367L day <- d1 - (367L * mon - 362L) %/% 12L + corr + 1L data.frame(year = yr, month = mon, day = day) } ) ) CFtime/R/CFtime-package.R0000644000176200001440000000676415052043456014526 0ustar liggesusers#' CFtime: working with CF Metadata Conventions "time" dimensions #' #' Support for all calendars as specified in the Climate and Forecast #' (CF) Metadata Conventions for climate and forecasting data. The CF Metadata #' Conventions is widely used for distributing files with climate observations #' or projections, including the Coupled Model Intercomparison Project (CMIP) #' data used by climate change scientists and the Intergovernmental Panel on #' Climate Change (IPCC). This package specifically allows the user to work #' with any of the CF-compliant calendars (many of which are not compliant with #' POSIXt). The CF time coordinate is formally defined in the #' [CF Metadata Conventions document](https://cfconventions.org/Data/cf-conventions/cf-conventions-1.12/cf-conventions.html#time-coordinate). #' #' This package also supports the creation of a "time" dimension, using class #' `CFClimatology`, for climatological statistics as defined [here](https://cfconventions.org/Data/cf-conventions/cf-conventions-1.12/cf-conventions.html#climatological-statistics). #' #' The package can create a [CFTime] or [CFClimatology] instance from scratch or, more commonly, it #' can use the dimension attributes and dimension variable values from a netCDF #' resource. The package does not actually do any of the reading and the user is #' free to use their netCDF package of preference. The recommended package to #' use (with any netCDF resources) is [ncdfCF](https://cran.r-project.org/package=ncdfCF). #' `ncdfCF` will automatically use this package to manage the "time" dimension #' of any netCDF resource. As with this package, it reads and interprets the #' attributes of the resource to apply the CF Metadata Conventions, supporting #' axes, auxiliary coordinate variables, coordinate reference systems, etc. #' Alternatively, for more basic netCDF reading and writing, the two main options #' are [RNetCDF](https://cran.r-project.org/package=RNetCDF) and #' [ncdf4](https://cran.r-project.org/package=ncdf4)). #' #' **Create, modify, inquire** #' * [CFtime()]: Create a [CFTime] instance #' * [`Properties`][properties] of the `CFTime` instance #' * [parse_timestamps()]: Parse a vector of character timestamps into `CFTime` elements #' * [`Compare`][CFtime-equivalent] two `CFTime` instances #' * [`Merge`][CFtime-merge] two `CFTime` instances or append additional time steps to a `CFTime` instance #' * [as_timestamp()] and [format()]: Generate a vector of character or `POSIXct` timestamps from a `CFTime` instance #' * [range()]: Timestamps of the two endpoints in the time series #' * `copy()`: Create a copy of a CFTime instance #' * `subset()`: Create a new CFTime instance which is a subset by index positions of another CFTime instance #' * [is_complete()]: Does the `CFTime` instance have a complete time series between endpoints? #' * [month_days()]: How many days are there in a month using the calendar of the `CFTime` instance? #' #' **Factors and coverage** #' * [CFfactor()] and [cut()]: Create factors for different time periods #' * [CFfactor_units()]: How many units of time are there in each factor level? #' * [CFfactor_coverage()]: How much data is available for each level of the factor? #' #' **Filtering and selection** #' * [slice()]: Logical vector of time steps between two extreme points. #' * [indexOf()]: Index values in the time series of given timestamps, possibly with #' fractional part for interpolation. #' @keywords internal #' @aliases CFtime-package "_PACKAGE" ## usethis namespace: start ## usethis namespace: end NULL CFtime/NAMESPACE0000644000176200001440000000121115101077761012640 0ustar liggesusers# Generated by roxygen2: do not edit by hand S3method("+",CFTime) S3method("==",CFTime) S3method("[",CFTime) S3method(as.character,CFTime) S3method(cut,CFTime) S3method(length,CFTime) S3method(range,CFTime) S3method(str,CFTime) export("bounds<-") export(CFClimatology) export(CFTime) export(CFfactor) export(CFfactor_coverage) export(CFfactor_units) export(CFtime) export(as_timestamp) export(bounds) export(calendar) export(definition) export(indexOf) export(is_complete) export(month_days) export(offsets) export(origin) export(parse_timestamps) export(resolution) export(slice) export(timezone) export(unit) import(R6) importFrom(stats,na.omit) CFtime/TODO0000644000176200001440000000134415077473337012133 0ustar liggesusers# every release - update documentation: README, vignettes, package doc - update hyperlinks (to e.g. latest CF version) - check deprecated items # 1.8 - User-defined calendar - equidistant by element and calendar # Further away - cut() needs to support "2 days" etc - filter() like tidyverse -> CFsubset - CFfactor() can use epochs with lower resolution such as [year, month] for 3-hr data: e.g. daily avg per month per epoch # Deprecation: - Functions in deprecated.R - Arguments: - Use # DEPRECATED comment inside the function body detailing argument changes - In the initial release, support use of the argument but drop documentation - 6 months after release, issue a warning - 3 months after warning, deprecate CFtime/LICENSE0000644000176200001440000000006114734460247012436 0ustar liggesusersYEAR: 2022-2025 COPYRIGHT HOLDER: CFtime authors CFtime/NEWS.md0000644000176200001440000002417415105104773012532 0ustar liggesusers# CFtime 1.7.2 Maintenance release * Time units can use SI decimal multiples or sub-multiples, such as "µs" or "kiloyear". * Setting bad boundary values generates a warning instead of an error. * `CFCalendar` and subclasses use active fields for all properties. * CRAN landing page links to github.io documentation. # CFtime 1.7.1 Maintenance release * Added `length` field to class `CFTime`. * Added `format.CFTime()` S3 method. * Added `"[.CFTime"` S3 method. * Documentation has been moved from vignettes to a website on github.io. # CFtime 1.7.0 * CFtime is now hosted on Github through the R-CF organization: all things related to the CF Metadata Conventions in R. * New sequence-like method to create `CFTime` instances. * New methods `CFTime$copy()` and `CFTime$subset()` to create copies of the entire `CFTime` instance or a subset thereof, including boundary values if they are set. * Fixed error on year 0 timestamps. # CFtime 1.6.2 * `CFTime$indexOf()` method has new `rightmost.closed` argument with default value `FALSE`. Invalid return values are always `NA`, also for values outside of range. Boundary values are fully considered so when boundary values are not contiguous, results may be `NA` when values of `x` do not fall within the bounds of a coordinate. * Fixed `CFTime` attribute of a "season" factor when the last factor level is the first season in the year. # CFtime 1.6.1 * Deprecated "gregorian" calendar automatically converted to the equivalent "standard". * `CFCalendar$add_day()` method added to add a day to a `data.frame` of date parts, using calendar logic. * **API change**: Bounds are now always fully specified so logical arguments should no longer be used, except in setting regular, consecutive bounds (`bounds <- TRUE`). If bounds have not been set, a `NULL` value is returned. This is to ensure that factorizing to "approximate" time units (such as a month) will give correct results for the bounds. (Old API deprecated by November 2025, removed early 2026.) # CFtime 1.6.0 * New class `CFClimatology` to manage climatological statistics. Method `CFTime$factor()` with an `era` argument will now have a `CFClimatology` instance attached to the attribute "CFTime" of its return value. * New class `CFCalendarNone` for a calendar with no annual cycle. Such a calendar represents a single instant in time, which may be useful for experiments on a fixed moment during the year. * `str()` for `CFTime` and `CFClimatology` gives compact information. * Fixed new `CFTime` instance for factor with a "day" or "dekad" period where the last factor level is not at the end of the year. * `CFTime$new()` with a single character string offset will generate only the single corresponding offset. * Test coverage near-complete. * Fixed inconsistent documentation for functions. * Minor code fixes. # CFtime 1.5.1 * `CFTime$slice()` can now work with a single or multiple timestamp values. * Test coverage increased. * Documentation updated, all runnable example code uses `ncdfCF` package. * Minor code fixes. # CFtime 1.5.0 * Code is updated to align with the CF 1.12 release. Specifically, calendars `utc` and `tai` are added. * `standard` calendar now uses mixed Gregorian/Julian calendar as defined in the CF Metadata Conventions. `proleptic_gregorian` is now a separate calendar with its own code base. * Negative offsets from a calendar origin are allowed. * Code is refactored to R6. R6 class CFTime replaces S4 class CFtime (note the difference in case). S4 class CFdatum has been replaced by hierarchy of R6 CFCalendar classes, with various non-exported functions converted into methods of CFCalendar. The code is now much cleaner and easier to extend, such as with the two new calendars `utc` and `tai`. * ISO8601 timestamps can use a comma "," as decimal mark to separate a fractional part from a time element, in addition to the dot ".". * Do not drop degenerate dimension on bounds when only 1 offset is included in subsetting. # CFtime 1.4.1 * Method `slab()` has an additional argument `rightmost.closed` to indicate if the upper extreme value should be included in the result. * Fixed bounds information on CFtime instances returned from methods `indexOf()` and `slab()`. * Several minor code improvements. # CFtime 1.4.0 * Bounds that define intervals around offsets can be associated with a CFtime instance and retrieved as raw offset values or as formatted timestamps. * Methods that subset a CF time series (e.g. `CFfactor()`, `cut()`, `slab()`) now have an attribute "CFtime" (among possible others) that describes the "time" dimension of the analysis result applying the subset. In other words, if CFtime instance 'Acf' describes the temporal dimension of data set 'A' and a factor 'Af' is generated from 'Acf', then `Bcf <- attr(Af, "CFtime")` describes the temporal dimension of the result of, say, `B <- apply(A, 1:2, tapply, Af, FUN)`. * New `indexOf()` method added that returns the indices of supplied timestamps in a CFtime instance, optionally with a fractional part. This can be used to extract specific time steps, or to interpolate between time steps using the fractional part, from the time dimension of the data set associated with the CFtime instance. A vector of indices (e.g. referring to slices of the data set) can also be supplied, in which case valid indices are returned, with the new CFtime instance. * New `cut()` method added to generate a factor, similar to `cut.POSIXt()` but with some differences in the arguments. * `CFfactor()` now supports a period "quarter", for calendar quarters. * `format()` method added that generates a character vector of timestamps for the offsets in a CFtime instance. The format is specified using the flags used in `strptime()`, with some limitations. In particular, locale-specific formatting is limited to month names and no weekday information can be generated. The `range()` method has a new "format" parameter to support the same functionality and timestamps can also be generated for the extremes of the bounds, if set. * `as_character()` and `length()` methods added that return a vector of timestamps or the number of offsets in a CFtime instance, respectively. * Several functions have been renamed (most notably `CFtimestamp()` to `as_timestamp()`, `CFcomplete()` to `is_complete()`, `CFrange()` to the standard generic method `range()`, and `CFsubset()` to `slab()`) to be more consistent with the R universe. The original functions are now flagged as being deprecated. Some datum functions (deep down where regular mortals do not dwell) have been deleted. * Time zone designator "UTC" accepted when parsing timestamps to offsets. * Minor code fixes, see GitHub commits. * Documentation updated, with description of new functions. # CFtime 1.3.0 * Two CFtime instances can be added if they have compatible calendars and units. The earlier origin is preserved in the result and offsets from the later instance are incremented by the appropriate amount. As before, in the result offsets are in the order of the specified CFtime instances. * A new function CFsubset() can be used to retrieve a logical vector that indicates which time steps in a CFtime instance fall between two timestamps. This is useful to slice data during reading from file or analysis. * Time zone information is managed at the level of the datum. If a vector of character timestamps is parsed and found to have different time zones, a warning is generated. * Much reduced memory footprint. * Minor code fixes, see GitHub commits. * Codecov.io test coverage monitoring added. * Documentation updated, with description of new functions. # CFtime 1.2.0 * Datum units "years" and "months" added. While these units are discouraged by the CF Metadata Conventions due to their problematic definition, there are quite a few data sets out there that use these units nonetheless. For this reason, reading existing files with such datum units is supported (converting offsets to time elements is easy) but parsing timestamps is not (calculating offsets from time elements is possible but tedious and slow). Should there be a definite need, open an issue on GitHub and make a *very good* case why this functionality is required. * CFresolution() returns the average separation between elements in a time series, in units of the datum. * CFcomplete() indicates if the time series is complete, meaning that there are no gaps in the time series. This also works for time series with a somewhat variable length such as monthly data with a "days" datum unit. This works for all but the most exotic time dimension constructions. * CFtimestamp() produces a timestamp for all midnight values if the datum unit is "hours", "minutes" or "seconds". The "time" format has been removed. For "standard", "gregorian" and "proleptic_gregorian" calendars output can be generated as POSIXct by specifying the new argument `asPOSIX = TRUE` -- defaults to `FALSE`, the previous behaviour so the API is not broken. * Minor documentation updates. * Assorted minor code fixes, see GitHub commits. # CFtime 1.1.0 * CFtime() can now also be invoked with a vector of character timestamps as offsets, or with a single timestamp to create a complete time series from the datum to the indicated timestamp. * CFtimestamp() can now automatically select the best format for the time series. * New CFfactor_units() and CFfactor_coverage() functions. CFfactor_units() will tell you how many time units compose every level of a factor. CFfactor_coverage() computes the actual or relative number of time units in the factor levels from the time series in a CFtime instance with which the factor was created. This will enable you to assess the completeness of your time series (and perhaps filter out factor levels below a certain coverage threshold) and it can be useful in computing absolute values from average values, as is often useful when computing anomalies. * Global constants are now defined in a package environment, CFt. * Documentation expanded, updated and fixed. * Assorted minor code fixes, see GitHub commits. # CFtime 1.0.0 * This version supports all CF Metadata Conventions calendars for use with climate projection data. * You can create timestamps from the offsets in the files and create factors that greatly simplify working with climate change data. CFtime/inst/0000755000176200001440000000000015105105045012372 5ustar liggesusersCFtime/inst/extdata/0000755000176200001440000000000015105105045014024 5ustar liggesusersCFtime/inst/extdata/pr_day_MRI-ESM2-0_ssp245_r1i1p1f1_gn_20150101-20991231_v20190603.nc0000644000176200001440000144401314462275146025405 0ustar liggesusers‰HDF  ÿÿÿÿÿÿÿÿ H0n“×OHDR K" ÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ -‡?time·bndså time_bndsaùlat_ûlat_bndsZlonÍÿlon_bndsU prß)1 9; t" –n Q U"¸wBÎd¹'L2¾1BTINU">´æ±·· ® "!BTLF–n ™µ¹'zÉ4µt" #¼æÁ¤("$éÁ1 Wçĸz}#Ç ?«ï\Çà %Œ¢×L) €ËÙwB™(ÙÚß)澤Þ< #'äogß¡>±ûâq0©áÜã9; ÁܬçÌ+#'bUë‚,®Wî2"fØÙï©;* ©õâ)ÓÂôö <)ý‘àû†="9BTIN 2"·· ¸êùmBTLF T.‚,®4â) 0;<w2©;ä) ?à aL) u/!¤("Ì+#w !$˜ e%ý ?&< #'_ +( <)Š '*RR+± E,µ´ä†OHDR òFyFy ?@4 4ÿ*žG1/0ʵGmj¿ÂFRHPÿÿÿÿÿÿÿÿ­“ (ûvû‚ÈBTHDd(å ³ýÍ+BTHD  d(å "]SÓFSHD­Px(àL´csBTLF #L¨ †1 º¤ú ñ‡½B7W+Äç–</'Èx/RÌ%2æ£y‚_‹Š¡+e >“V0iž±·œ ôí»AcÍÐéý“}=BTLF AW+‚¡+Ì%ñ #/'V0†1 ·œ ‰Ù‘¯OHDR 8!  ô]²ÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ +CLASSDIMENSION_SCALE ZNAME@This is a netCDF dimension but not a netCDF variable. 2 + _Netcdf4Dimid Rt7OCHK ?@4 4ÿ + _Netcdf4Dimid vÍrFRHPÿÿÿÿÿÿÿÿ`ý (™@ÔùÙBTHDd(²ý Ó2[BTHD  d(™ P#K¬OHDR 4FyFy™!”+žG ¦bFyÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ I _Netcdf4Coordinates ŸŠ¹ûBTHDd(xL s =¡iFSSEe ÷ ö \¤I‹=GFSSE“­S庰8FHDBµ€Q _Netcdf4Coordinates CLASSDIMENSION_SCALENAMEtime _Netcdf4Dimid bounds time_bndsaxisT long_nametimestandard_nametimeunitsdays since 1850-01-01 calendarproleptic_gregorian0REFERENCE_LIST6datasetdimension 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Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.mip_eraCMIP6nominal_resolution100 kmparent_activity_idCMIPparent_mip_eraCMIP6FHDBÄô3ˆfurther_info_urlMhttps://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GFDL-ESM4.ssp245.none.r1i1p1f1grid^atmos data regridded from Cubed-sphere (c96) to 180,288; interpolation method: conserve_order1 initialization_index  institutionpNational Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USAinstitution_id NOAA-GFDLparent_experiment_id historicalparent_source_id GFDL-ESM4parent_time_unitsdays since 1850-1-1parent_variant_labelr1i1p1f1 physics_index product model-output realization_index realmatmos source_id GFDL-ESM4 source_typeAOGCM AER CHEM BGCFHDBį³w=external_variables areacellahistory|File was processed by fremetar (GFDL analog of CMOR). TripleID: [exper_id_MzNIXpXOEI,realiz_id_JiV2jHTAsI,run_id_mMhPee9vcR] table_idday activity_id ScenarioMIPbranch_methodstandardbranch_time_in_child ?@4 4ÿ hí@branch_time_in_parent ?@4 4ÿ hí@comment contact gfdl.climate.model.info@noaa.gov ConventionsCF-1.7 CMIP-6.0 UGRID-1.0creation_date2019-06-18T05:29:00Zdata_specs_version01.00.27 experimentupdate of RCP4.5 based on SSP2experiment_idssp245 forcing_index  frequencyday grid_labelgr1FHIBÄø%ø!øøøÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÊxŒLTREEÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ©8FSSEW4Ó-ð\rsOCHKêK” . long_namelatitude boundsîëBTHDd(êG ^'©9BTHD  d(êI ûÝè(BTHDd(úm åh·FRHPÿÿÿÿÿÿÿÿÓW4 (¸8 wõBTHDd(©4 ¥QBTHD  d(©6 qðOFSHDÓPx(~2R%ŒúBTLFË'L¨ ‡½B7W+Äç–<Y+Èx/R5$2æ£y„- šƒ‚_‹Š +e >“ò(iž±±| ôí»AcÍÐé],iaBTLF AW+‚ +Ë'ò(5$Y+„- ±| i„x^c`@€ öŽpFHDBy36Ð] _Netcdf4Coordinates CLASSDIMENSION_SCALENAMElat _Netcdf4Dimid  long_namelatitudeunits degrees_northaxisYboundslat_bndsstandard_namelatitude cell_methods time: point0REFERENCE_LIST6datasetdimension qúaTREEÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ~dOHDR  ?@4 4ÿ+žG Œd Gï23m¬ìiFRHPÿÿÿÿÿÿÿÿÒ˜G (£]JŸ „FSHDÒPx(“£ÕäBTLFË(L¨ ‡½B7W+Äç–<Y,Èx/R5$2æ£y…- šƒ‚_‹Š +e >“ó'iž±²| ôí»AcÍÐéÅaBTLF AW+‚ +Ë(ó'5$Y,…- ²| 9Z¤©OCHK~\S lDIMENSION_LIST~L~L ~L Û!‰ÓGCOLúq é ôúqèDôúqéèDúqôèOCHK ?@4 4ÿ + _Netcdf4Dimid qO­BTHD  d(úo ?,DœOCHK ?@4 4ÿ + _Netcdf4Dimid qO­dimension q*œ^–*ÌxYFHDBGUŒ… _Netcdf4Coordinates CLASSDIMENSION_SCALENAMElon _Netcdf4Dimid  long_name longitudeunits degrees_eastaxisXboundslon_bndsstandard_name longitude cell_methods time: point0REFERENCE_LIST6datasetdimension *úaOCHKÞx” / long_namelongitude bounds—‹ofOHDR `41y1y +ìx­` †p1y m;3Ñ\  —D×Ö„x^c`‚NŒÃTREEÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿryBTHDd(Þt J|ãæBTHD  d(Þv õ®8FRHPÿÿÿÿÿÿÿÿF¨m (›}+0éQFSHDFPx(€yÑÇLBTLFŸ,L¨ _@ôŠ$»%çOT5Èx/R"2Ðüâ[ð2 šƒ‰2=p´„+ e >“àC D` ŸË%iž±#l c“‘éIcÍÐéÊZù,BTLF I_@Ÿ,Ë%ð2"2T5‰2»%àC #l + ˆÄ^–OHDR ô1y1y ?@4 4ÿ*žG›ˆÉús¼lâllå§i•FRHPÿÿÿÿÿÿÿÿcŒt (›y)›FSHDcPx(L0WûzBTLFÌ#L¨ Ý$ º¤ú B7W+Äç–<X'Èx/R )èþùw3%2æ£y‚_‹Š¡+e >“­0 iž±œôí»AcÍÐé. 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d ÈÀÿÑ€É8È@2 d È@2%Ï€/Žâ d È@2 d È@–<^ÅÈ@2 d È@2 d È@2 d È@2 Ì<þ?†ÆÈ@2 d È@2 d È@2 d È@2 Ì<þAã d È@2 d È@2 d È@2 d È@fžÅM2 d È@2 d È@2 d È@2 d 3ÞÀuM2 d È@2 d È@2 d È@2 d 3ÞÀõM2 d È@2 d È@2 d È@2 d 3ÞÀ M2 d X Œ5È@2 d È@2 d È@2 d È@2 d È@2 d È@2 d È@2 d È@2 d È@2 d È@2 d È@2 d È@2 d È@2 d È@2 d È@2 d È@2 d È@2 d È@2 d È@2 d È@2 d È@2 d È@2 d È@2 d È@2 d È@2 d È@2 d È@2 d È@2 d È@2 d È@2 dàn7p º¾|úCFtime/README.md0000644000176200001440000001536715105065243012715 0ustar liggesusers # CFtime [![Lifecycle: Stable](https://img.shields.io/badge/Lifecycle-Stable-green.svg)](https://lifecycle.r-lib.org/articles/stages.html) [![CRAN Status](https://www.r-pkg.org/badges/version/CFtime)](https://cran.r-project.org/package=CFtime) [![CRAN Downloads](https://cranlogs.r-pkg.org/badges/grand-total/CFtime)](https://cran.r-project.org/package=CFtime) [![License: GPL v3](https://img.shields.io/badge/License-MIT-blue.svg)](https://mit-license.org) [![Commits since release](https://img.shields.io/github/commits-since/R-CF/CFtime/latest.svg?color=green)](https://GitHub.com/R-CF/CFtime/commit/main/) [![Last commit](https://img.shields.io/github/last-commit/R-CF/CFtime)](https://github.com/R-CF/CFtime/commits/main) [![R-CMD-check](https://github.com/R-CF/CFtime/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/R-CF/CFtime/actions/workflows/R-CMD-check.yaml) [![codecov](https://codecov.io/gh/R-CF/CFtime/branch/main/graph/badge.svg)](https://app.codecov.io/gh/R-CF/CFtime) CFtime is an R package that supports working with [CF Metadata Conventions](http://cfconventions.org) time coordinates, specifically geared to time-referencing data sets of climate projections such as those produced under the [World Climate Research Programme](https://www.wcrp-climate.org) and re-analysis data such as ERA5 from the European Centre for Medium-range Weather Forecasts (ECMWF). The data sets include in their metadata an epoch, or origin, a point in time from which other points in time are calculated. This epoch takes the form of `days since 1949-12-01`, with each data collection (Coupled Model Intercomparison Project (CMIP) generation, model, etc) having its own epoch. The data itself has a temporal dimension if a coordinate variable in the netCDF file has an attribute `units` with a string value describing an epoch. The coordinate variable, say “timeâ€, has data values such as 43289, which are offsets from the epoch in units of the epoch string (“days†in this case). To convert this offset to a date, using a specific calendar, is what this package does. Given that the calendars supported by the CF Metadata Conventions are not compatible with `POSIXt`, this conversion is not trivial because the standard R date-time operations do not give correct results. That it is important to account for these differences is easily demonstrated: ``` r library(CFtime) # POSIXt calculations on a standard calendar as.Date("1949-12-01") + 43289 #> [1] "2068-06-08" # CFtime calculation on a "360_day" calendar as_timestamp(CFtime("days since 1949-12-01", "360_day", 43289)) #> [1] "2070-02-30" ``` That’s a difference of nearly 21 months! (And yes, 30 February is a valid date on a `360_day` calendar.) All defined calendars of the CF Metadata Conventions are supported: - `standard` or `gregorian`: This calendar is valid for the Common Era only; it starts at 0001-01-01 00:00:00, i.e. 1 January of year 1. Time periods prior to the introduction of the Gregorian calendar (1582-10-15) use the `julian` calendar that was in common use then. The 10-day gap between the Julian and Gregorian calendars is observed, so dates in the range 5 to 14 October 1582 are invalid. - `proleptic_gregorian`: This calendar uses the Gregorian calendar for periods prior to the introduction of that calendar as well, and it extends to periods before the Common Era, e.g. year 0 and negative years. - `tai`: International Atomic Time, a global standard for linear time based on multiple atomic clocks: it counts seconds since its start at 1958-01-01 00:00:00. For presentation it uses the Gregorian calendar. Timestamps prior to its start are not allowed. - `utc`: Coordinated Universal Time, the standard for civil timekeeping all over the world. It is based on International Atomic Time but it uses occasional leap seconds to remain synchronous with Earth’s rotation around the Sun; at the end of 2024 it is 37 seconds behind `tai`. It uses the Gregorian calendar with a start at 1972-01-01 00:00:00; earlier timestamps are not allowed. Future timestamps are also not allowed because the insertion of leap seconds is unpredictable. Most computer clocks synchronize against UTC but calculations of periods do not consider leap seconds. - `julian`: The `julian` calendar has a leap year every four years, including centennial years. Otherwise it is the same as the `standard` calendar. - `365_day` or `noleap`: This is a “model time†calendar in which no leap years occur. Year 0 exists, as well as years prior to that. - `366_day` or `all_leap`: This is a “model time†calendar in which all years are leap years. Year 0 exists, as well as years prior to that. - `360_day`: This is a “model time†calendar in which every year has 360 days divided over 12 months of 30 days each. Year 0 exists, as well as years prior to that. - `none`: Perpetual “calendar†for experiments that are simulated on a given instant during the year. All the elements in this calendar thus represent the same instant in time. Use of custom calendars is currently not supported. This package facilitates use of a suite of models of climate projections that use different calendars in a consistent manner. This package is particularly useful for working with climate projection data having a daily or higher resolution, but it will work equally well on data with a lower resolution. Timestamps are generated using the [ISO8601 standard](https://en.wikipedia.org/wiki/ISO_8601). Calendar-aware factors can be generated to support processing of data using `tapply()` and similar functions. Merging of multiple data sets and subsetting facilitate analysis while preserving computer resources. ## Working with CFtime Check out the multiple articles that provide detailed instructions and examples for use of this package. ## Installation Get the latest stable version on CRAN: ``` r install.packages("CFtime") ``` You can install the development version of CFtime from [GitHub](https://github.com/) with: ``` r # install.packages("devtools") devtools::install_github("R-CF/CFtime") ``` ## Coverage This package has been tested with the following data sets: - ERA5 (including multiple variables, levels, and mixed ERA5/ERA5T data) - CMIP5 - CORDEX - CMIP6 - ROMS The package also operates on geographical and/or temporal subsets of data sets so long as the subsetted data complies with the CF Metadata Conventions. This includes subsetting in the [Climate Data Store](https://cds.climate.copernicus.eu/#!/home). Subsetted data from Climate4Impact is not automatically supported because the dimension names are not compliant with the CF Metadata Conventions, use the corresponding dimension names instead. CFtime/man/0000755000176200001440000000000015105105045012170 5ustar liggesusersCFtime/man/CFCalendarJulian.Rd0000644000176200001440000002020414776220607015561 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/CFCalendarJulian.R \docType{class} \name{CFCalendarJulian} \alias{CFCalendarJulian} \title{Julian CF calendar} \description{ This class represents a Julian calendar of 365 days per year, with every fourth year being a leap year of 366 days. The months and the year align with the standard calendar. This calendar is not compatible with the standard POSIXt calendar. This calendar starts on 1 January of year 1: 0001-01-01 00:00:00. Any dates before this will generate an error. } \section{Super class}{ \code{\link[CFtime:CFCalendar]{CFtime::CFCalendar}} -> \code{CFCalendarJulian} } \section{Methods}{ \subsection{Public methods}{ \itemize{ \item \href{#method-CFCalendarJulian-new}{\code{CFCalendarJulian$new()}} \item \href{#method-CFCalendarJulian-valid_days}{\code{CFCalendarJulian$valid_days()}} \item \href{#method-CFCalendarJulian-month_days}{\code{CFCalendarJulian$month_days()}} \item \href{#method-CFCalendarJulian-leap_year}{\code{CFCalendarJulian$leap_year()}} \item \href{#method-CFCalendarJulian-date2offset}{\code{CFCalendarJulian$date2offset()}} \item \href{#method-CFCalendarJulian-offset2date}{\code{CFCalendarJulian$offset2date()}} \item \href{#method-CFCalendarJulian-clone}{\code{CFCalendarJulian$clone()}} } } \if{html}{\out{
Inherited methods
}} \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarJulian-new}{}}} \subsection{Method \code{new()}}{ Create a new CF calendar. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarJulian$new(nm, definition)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{nm}}{The name of the calendar. This must be "julian". This argument is superfluous but maintained to be consistent with the initialization methods of the parent and sibling classes.} \item{\code{definition}}{The string that defines the units and the origin, as per the CF Metadata Conventions.} } \if{html}{\out{
}} } \subsection{Returns}{ A new instance of this class. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarJulian-valid_days}{}}} \subsection{Method \code{valid_days()}}{ Indicate which of the supplied dates are valid. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarJulian$valid_days(ymd)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{ymd}}{\code{data.frame} with dates parsed into their parts in columns \code{year}, \code{month} and \code{day}. Any other columns are disregarded.} } \if{html}{\out{
}} } \subsection{Returns}{ Logical vector with the same length as argument \code{ymd} has rows with \code{TRUE} for valid days and \code{FALSE} for invalid days, or \code{NA} where the row in argument \code{ymd} has \code{NA} values. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarJulian-month_days}{}}} \subsection{Method \code{month_days()}}{ Determine the number of days in the month of the calendar. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarJulian$month_days(ymd = NULL)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{ymd}}{\code{data.frame}, optional, with dates parsed into their parts.} } \if{html}{\out{
}} } \subsection{Returns}{ A vector indicating the number of days in each month for the dates supplied as argument \code{ymd}. If no dates are supplied, the number of days per month for the calendar as a vector of length 12, for a regular year without a leap day. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarJulian-leap_year}{}}} \subsection{Method \code{leap_year()}}{ Indicate which years are leap years. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarJulian$leap_year(yr)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{yr}}{Integer vector of years to test.} } \if{html}{\out{
}} } \subsection{Returns}{ Logical vector with the same length as argument \code{yr}. \code{NA} is returned where elements in argument \code{yr} are \code{NA}. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarJulian-date2offset}{}}} \subsection{Method \code{date2offset()}}{ Calculate difference in days between a \code{data.frame} of time parts and the origin. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarJulian$date2offset(x)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{x}}{\code{data.frame}. Dates to calculate the difference for.} } \if{html}{\out{
}} } \subsection{Returns}{ Integer vector of a length equal to the number of rows in argument \code{x} indicating the number of days between \code{x} and the origin of the calendar, or \code{NA} for rows in \code{x} with \code{NA} values. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarJulian-offset2date}{}}} \subsection{Method \code{offset2date()}}{ Calculate date parts from day differences from the origin. This only deals with days as these are impacted by the calendar. Hour-minute-second timestamp parts are handled in \link{CFCalendar}. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarJulian$offset2date(x)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{x}}{Integer vector of days to add to the origin.} } \if{html}{\out{
}} } \subsection{Returns}{ A \code{data.frame} with columns 'year', 'month' and 'day' and as many rows as the length of vector \code{x}. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarJulian-clone}{}}} \subsection{Method \code{clone()}}{ The objects of this class are cloneable with this method. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarJulian$clone(deep = FALSE)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{deep}}{Whether to make a deep clone.} } \if{html}{\out{
}} } } } CFtime/man/str.CFTime.Rd0000644000176200001440000000052714771223163014413 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/CFtime.R \name{str.CFTime} \alias{str.CFTime} \title{Compact display of a CFTime instance} \usage{ \method{str}{CFTime}(object, ...) } \arguments{ \item{object}{A \code{CFTime} instance.} \item{...}{Ignored.} } \description{ Compact display of a CFTime instance } CFtime/man/indexOf.Rd0000644000176200001440000000717015002454655014072 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/api.R \name{indexOf} \alias{indexOf} \title{Find the index of timestamps in the time series} \usage{ indexOf(x, y, method = "constant", rightmost.closed = FALSE) } \arguments{ \item{x}{Vector of \code{character}, \code{POSIXt} or \code{Date} values to find indices for, or a numeric vector.} \item{y}{A \link{CFTime} instance.} \item{method}{Single value of "constant" or "linear". If \code{"constant"} or when bounds are set on argument \code{y}, return the index value for each match. If \code{"linear"}, return the index value with any fractional value.} \item{rightmost.closed}{Whether or not to include the upper limit of argument \code{x}. Default is \code{FALSE}. This argument is ignored when argument \code{x} contains index values.} } \value{ A numeric vector giving indices into \code{y} for the values of \code{x}. If there is at least 1 valid index, then attribute "CFTime" contains an instance of \code{CFTime} that describes the dimension of filtering the dataset associated with \code{y} with the result of this method, excluding any \code{NA} values. } \description{ Find the index in the time series for each timestamp given in argument \code{x}. Values of \code{x} that are before the earliest value or after the latest value in \code{y} will be returned as \code{NA}. Alternatively, when \code{x} is a numeric vector of index values, return the valid indices of the same vector, with the side effect being the attribute "CFTime" associated with the result. } \details{ Timestamps can be provided as vectors of character strings, \code{POSIXct} or \code{Date.} Matching also returns index values for timestamps that fall between two elements of the time series - this can lead to surprising results when time series elements are positioned in the middle of an interval (as the CF Metadata Conventions instruct us to "reasonably assume"): a time series of days in January would be encoded in a netCDF file as \code{c("2024-01-01 12:00:00", "2024-01-02 12:00:00", "2024-01-03 12:00:00", ...)} so \code{x <- c("2024-01-01", "2024-01-02", "2024-01-03")} would result in \verb{(NA, 1, 2)} (or \verb{(NA, 1.5, 2.5)} with \code{method = "linear"}) because the date values in \code{x} are at midnight. This situation is easily avoided by ensuring that \code{y} has bounds set (use \code{bounds(y) <- TRUE} as a proximate solution if bounds are not stored in the netCDF file). See the Examples. If bounds are set, the indices are informed by those bounds. If the bounds are not contiguous, returned values may be \code{NA} even if the value of \code{x} falls between two valid timestamps. Values of \code{x} that are not valid timestamps according to the calendar of \code{y} will be returned as \code{NA}. \code{x} can also be a numeric vector of index values, in which case the valid values in \code{x} are returned. If negative values are passed, the positive counterparts will be excluded and then the remainder returned. Positive and negative values may not be mixed. Using a numeric vector has the side effect that the result has the attribute "CFTime" describing the temporal dimension of the slice. If index values outside of the range of \code{y} (\code{1:length(y)}) are provided, an error will be thrown. } \examples{ cf <- CFtime("days since 2020-01-01", "360_day", 1440:1799 + 0.5) as_timestamp(cf)[1:3] x <- c("2024-01-01", "2024-01-02", "2024-01-03") indexOf(x, cf) indexOf(x, cf, method = "linear") bounds(cf) <- TRUE indexOf(x, cf) # Non-existent calendar day in a `360_day` calendar x <- c("2024-03-30", "2024-03-31", "2024-04-01") indexOf(x, cf) # Numeric x indexOf(c(29, 30, 31), cf) } CFtime/man/bounds.Rd0000644000176200001440000000341414776272661014001 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/api.R \name{bounds} \alias{bounds} \alias{bounds<-} \title{Bounds of the time offsets} \usage{ bounds(x, format) bounds(x) <- value } \arguments{ \item{x}{A \code{CFTime} instance.} \item{format}{Optional. A single string with format specifiers, see \code{\link[=format]{format()}} for details.} \item{value}{A \code{matrix} (or \code{array}) with dimensions (2, length(offsets)) giving the lower (first row) and higher (second row) bounds of each offset (this is the format that the CF Metadata Conventions uses for storage in netCDF files). Use \code{NULL} to unset any previously set bounds.} } \value{ If bounds have been set, an array of bounds values with dimensions \verb{(2, length(offsets))}. The first row gives the lower bound, the second row the upper bound, with each column representing an offset of \code{x}. If the \code{format} argument is specified, the bounds values are returned as strings according to the format. \code{NULL} when no bounds have been set. } \description{ CF-compliant netCDF files store time information as a single offset value for each step along the dimension, typically centered on the valid interval of the data (e.g. 12-noon for day data). Optionally, the lower and upper values of the valid interval are stored in a so-called "bounds" variable, as an array with two rows (lower and higher value) and a column for each offset. With function \verb{bounds()<-} those bounds can be set for a \code{CFTime} instance. The bounds can be retrieved with the \code{bounds()} function. } \examples{ t <- CFtime("days since 2024-01-01", "standard", seq(0.5, by = 1, length.out = 366)) as_timestamp(t)[1:3] bounds(t) <- rbind(0:365, 1:366) bounds(t)[, 1:3] bounds(t, "\%d-\%b-\%Y")[, 1:3] } CFtime/man/slice.Rd0000644000176200001440000000317614761613012013572 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/api.R \name{slice} \alias{slice} \title{Which time steps fall within extreme values} \usage{ slice(x, extremes, rightmost.closed = FALSE) } \arguments{ \item{x}{The \code{CFTime} instance to operate on.} \item{extremes}{Character vector of timestamps that represent the time period of interest. The extreme values are selected. Badly formatted timestamps are silently dropped.} \item{rightmost.closed}{Is the right side closed, i.e. included in the result? Default is \code{FALSE}. A specification of \verb{c("2022-01-01", "2023-01-01)} will thus include all time steps that fall in the year 2022 when \code{closed = FALSE} but include \code{2023-01-01} if that exact value is present in the time series.} } \value{ A logical vector with a length equal to the number of time steps in \code{x} with values \code{TRUE} for those time steps that fall between the extreme values, \code{FALSE} otherwise. An attribute 'CFTime' will have the same definition as \code{x} but with offsets corresponding to the time steps falling between the two extremes. If there are no values between the extremes, the attribute is \code{NULL}. } \description{ Given a vector of character timestamps, return a logical vector of a length equal to the number of time steps in the time series with values \code{TRUE} for those time steps that fall between the two extreme values of the vector values, \code{FALSE} otherwise. } \details{ If bounds were set these will be preserved. } \examples{ t <- CFtime("hours since 2023-01-01 00:00:00", "standard", 0:23) slice(t, c("2022-12-01", "2023-01-01 03:00")) } CFtime/man/as_timestamp.Rd0000644000176200001440000000371714726114047015167 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/api.R \name{as_timestamp} \alias{as_timestamp} \title{Create a vector that represents CF timestamps} \usage{ as_timestamp(t, format = NULL, asPOSIX = FALSE) } \arguments{ \item{t}{The \code{CFTime} instance that contains the offsets to use.} \item{format}{character. A character string with either of the values "date" or "timestamp". If the argument is not specified, the format used is "timestamp" if there is time information, "date" otherwise.} \item{asPOSIX}{logical. If \code{TRUE}, for "standard", "gregorian" and "proleptic_gregorian" calendars the output is a vector of \code{POSIXct} - for other calendars an error will be thrown. Default value is \code{FALSE}.} } \value{ A character vector where each element represents a moment in time according to the \code{format} specifier. } \description{ This function generates a vector of character strings or \code{POSIXct}s that represent the date and time in a selectable combination for each offset. } \details{ The character strings use the format \verb{YYYY-MM-DDThh:mm:ss±hhmm}, depending on the \code{format} specifier. The date in the string is not necessarily compatible with \code{POSIXt} - in the \verb{360_day} calendar \code{2017-02-30} is valid and \code{2017-03-31} is not. For the "proleptic_gregorian" calendar the output can also be generated as a vector of \code{POSIXct} values by specifying \code{asPOSIX = TRUE}. The same is possible for the "standard" and "gregorian" calendars but only if all timestamps fall on or after 1582-10-15. } \examples{ t <- CFtime("hours since 2020-01-01", "standard", seq(0, 24, by = 0.25)) as_timestamp(t, "timestamp") t2 <- CFtime("days since 2002-01-21", "standard", 0:20) tail(as_timestamp(t2, asPOSIX = TRUE)) tail(as_timestamp(t2)) tail(as_timestamp(t2 + 1.5)) } \seealso{ The \link{CFTime} \code{format()} method gives greater flexibility through the use of \code{strptime}-like format specifiers. } CFtime/man/CFCalendar360.Rd0000644000176200001440000001777014776220607014665 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/CFCalendar360.R \docType{class} \name{CFCalendar360} \alias{CFCalendar360} \title{360-day CF calendar} \description{ This class represents a CF calendar of 360 days per year, evenly divided over 12 months of 30 days. This calendar is obviously not compatible with the standard POSIXt calendar. This calendar supports dates before year 1 and includes the year 0. } \section{Super class}{ \code{\link[CFtime:CFCalendar]{CFtime::CFCalendar}} -> \code{CFCalendar360} } \section{Methods}{ \subsection{Public methods}{ \itemize{ \item \href{#method-CFCalendar360-new}{\code{CFCalendar360$new()}} \item \href{#method-CFCalendar360-valid_days}{\code{CFCalendar360$valid_days()}} \item \href{#method-CFCalendar360-month_days}{\code{CFCalendar360$month_days()}} \item \href{#method-CFCalendar360-leap_year}{\code{CFCalendar360$leap_year()}} \item \href{#method-CFCalendar360-date2offset}{\code{CFCalendar360$date2offset()}} \item \href{#method-CFCalendar360-offset2date}{\code{CFCalendar360$offset2date()}} \item \href{#method-CFCalendar360-clone}{\code{CFCalendar360$clone()}} } } \if{html}{\out{
Inherited methods
}} \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar360-new}{}}} \subsection{Method \code{new()}}{ Create a new CF calendar. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar360$new(nm, definition)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{nm}}{The name of the calendar. This must be "360_day". This argument is superfluous but maintained to be consistent with the initialization methods of the parent and sibling classes.} \item{\code{definition}}{The string that defines the units and the origin, as per the CF Metadata Conventions.} } \if{html}{\out{
}} } \subsection{Returns}{ A new instance of this class. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar360-valid_days}{}}} \subsection{Method \code{valid_days()}}{ Indicate which of the supplied dates are valid. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar360$valid_days(ymd)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{ymd}}{\code{data.frame} with dates parsed into their parts in columns \code{year}, \code{month} and \code{day}. Any other columns are disregarded.} } \if{html}{\out{
}} } \subsection{Returns}{ Logical vector with the same length as argument \code{ymd} has rows with \code{TRUE} for valid days and \code{FALSE} for invalid days, or \code{NA} where the row in argument \code{ymd} has \code{NA} values. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar360-month_days}{}}} \subsection{Method \code{month_days()}}{ Determine the number of days in the month of the calendar. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar360$month_days(ymd = NULL)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{ymd}}{\code{data.frame} with dates parsed into their parts in columns \code{year}, \code{month} and \code{day}. Any other columns are disregarded.} } \if{html}{\out{
}} } \subsection{Returns}{ A vector indicating the number of days in each month for the dates supplied as argument \code{ymd}. If no dates are supplied, the number of days per month for the calendar as a vector of length 12. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar360-leap_year}{}}} \subsection{Method \code{leap_year()}}{ Indicate which years are leap years. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar360$leap_year(yr)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{yr}}{Integer vector of years to test.} } \if{html}{\out{
}} } \subsection{Returns}{ Logical vector with the same length as argument \code{yr}. Since this calendar does not use leap days, all values will be \code{FALSE}, or \code{NA} where argument \code{yr} is \code{NA}. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar360-date2offset}{}}} \subsection{Method \code{date2offset()}}{ Calculate difference in days between a \code{data.frame} of time parts and the origin. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar360$date2offset(x)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{x}}{\code{data.frame}. Dates to calculate the difference for.} } \if{html}{\out{
}} } \subsection{Returns}{ Integer vector of a length equal to the number of rows in argument \code{x} indicating the number of days between \code{x} and the \code{origin}, or \code{NA} for rows in \code{x} with \code{NA} values. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar360-offset2date}{}}} \subsection{Method \code{offset2date()}}{ Calculate date parts from day differences from the origin. This only deals with days as these are impacted by the calendar. Hour-minute-second timestamp parts are handled in \link{CFCalendar}. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar360$offset2date(x)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{x}}{Integer vector of days to add to the origin.} } \if{html}{\out{
}} } \subsection{Returns}{ A \code{data.frame} with columns 'year', 'month' and 'day' and as many rows as the length of vector \code{x}. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar360-clone}{}}} \subsection{Method \code{clone()}}{ The objects of this class are cloneable with this method. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar360$clone(deep = FALSE)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{deep}}{Whether to make a deep clone.} } \if{html}{\out{
}} } } } CFtime/man/CFfactor_coverage.Rd0000644000176200001440000000240614726276120016036 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/api.R \name{CFfactor_coverage} \alias{CFfactor_coverage} \title{Coverage of time elements for each factor level} \usage{ CFfactor_coverage(t, f, coverage = "absolute") } \arguments{ \item{t}{An instance of \link{CFTime}.} \item{f}{factor or list. A factor or a list of factors derived from the parameter \code{t}. The factor or list thereof should generally be generated by the function \code{\link[=CFfactor]{CFfactor()}}.} \item{coverage}{"absolute" or "relative".} } \value{ If \code{f} is a factor, a numeric vector with a length equal to the number of levels in the factor, indicating the number of units from the time series in \code{t} contained in each level of the factor when \code{coverage = "absolute"} or the proportion of units present relative to the maximum number when \code{coverage = "relative"}. If \code{f} is a list of factors, a list with each element a numeric vector as above. } \description{ This function calculates the number of time elements, or the relative coverage, in each level of a factor generated by \code{\link[=CFfactor]{CFfactor()}}. } \examples{ t <- CFtime("days since 2001-01-01", "365_day", 0:364) f <- CFfactor(t, "dekad") CFfactor_coverage(t, f, "absolute") } CFtime/man/range.CFTime.Rd0000644000176200001440000000200714725654542014702 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/api.R \name{range.CFTime} \alias{range.CFTime} \title{Extreme time series values} \usage{ \method{range}{CFTime}(x, format = "", bounds = FALSE, ..., na.rm = FALSE) } \arguments{ \item{x}{An instance of the \link{CFTime} class.} \item{format}{A character string with format specifiers, optional. If it is missing or an empty string, the most economical ISO8601 format is chosen: "date" when no time information is present in \code{x}, "timestamp" otherwise. Otherwise a suitable format specifier can be provided.} \item{bounds}{Logical to indicate if the extremes from the bounds should be used, if set. Defaults to \code{FALSE}.} \item{...}{Ignored.} \item{na.rm}{Ignored.} } \value{ Vector of two character representations of the extremes of the time series. } \description{ Character representation of the extreme values in the time series. } \examples{ cf <- CFtime("days since 1850-01-01", "julian", 0:364) range(cf) range(cf, "\%Y-\%b-\%e") } CFtime/man/CFtime-package.Rd0000644000176200001440000001043615101100711015212 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/CFtime-package.R \docType{package} \name{CFtime-package} \alias{CFtime-package} \title{CFtime: working with CF Metadata Conventions "time" dimensions} \description{ Support for all calendars as specified in the Climate and Forecast (CF) Metadata Conventions for climate and forecasting data. The CF Metadata Conventions is widely used for distributing files with climate observations or projections, including the Coupled Model Intercomparison Project (CMIP) data used by climate change scientists and the Intergovernmental Panel on Climate Change (IPCC). This package specifically allows the user to work with any of the CF-compliant calendars (many of which are not compliant with POSIXt). The CF time coordinate is formally defined in the \href{https://cfconventions.org/Data/cf-conventions/cf-conventions-1.12/cf-conventions.html#time-coordinate}{CF Metadata Conventions document}. } \details{ This package also supports the creation of a "time" dimension, using class \code{CFClimatology}, for climatological statistics as defined \href{https://cfconventions.org/Data/cf-conventions/cf-conventions-1.12/cf-conventions.html#climatological-statistics}{here}. The package can create a \link{CFTime} or \link{CFClimatology} instance from scratch or, more commonly, it can use the dimension attributes and dimension variable values from a netCDF resource. The package does not actually do any of the reading and the user is free to use their netCDF package of preference. The recommended package to use (with any netCDF resources) is \href{https://cran.r-project.org/package=ncdfCF}{ncdfCF}. \code{ncdfCF} will automatically use this package to manage the "time" dimension of any netCDF resource. As with this package, it reads and interprets the attributes of the resource to apply the CF Metadata Conventions, supporting axes, auxiliary coordinate variables, coordinate reference systems, etc. Alternatively, for more basic netCDF reading and writing, the two main options are \href{https://cran.r-project.org/package=RNetCDF}{RNetCDF} and \href{https://cran.r-project.org/package=ncdf4}{ncdf4}). \strong{Create, modify, inquire} \itemize{ \item \code{\link[=CFtime]{CFtime()}}: Create a \link{CFTime} instance \item \code{\link[=properties]{Properties}} of the \code{CFTime} instance \item \code{\link[=parse_timestamps]{parse_timestamps()}}: Parse a vector of character timestamps into \code{CFTime} elements \item \code{\link[=CFtime-equivalent]{Compare}} two \code{CFTime} instances \item \code{\link[=CFtime-merge]{Merge}} two \code{CFTime} instances or append additional time steps to a \code{CFTime} instance \item \code{\link[=as_timestamp]{as_timestamp()}} and \code{\link[=format]{format()}}: Generate a vector of character or \code{POSIXct} timestamps from a \code{CFTime} instance \item \code{\link[=range]{range()}}: Timestamps of the two endpoints in the time series \item \code{copy()}: Create a copy of a CFTime instance \item \code{subset()}: Create a new CFTime instance which is a subset by index positions of another CFTime instance \item \code{\link[=is_complete]{is_complete()}}: Does the \code{CFTime} instance have a complete time series between endpoints? \item \code{\link[=month_days]{month_days()}}: How many days are there in a month using the calendar of the \code{CFTime} instance? } \strong{Factors and coverage} \itemize{ \item \code{\link[=CFfactor]{CFfactor()}} and \code{\link[=cut]{cut()}}: Create factors for different time periods \item \code{\link[=CFfactor_units]{CFfactor_units()}}: How many units of time are there in each factor level? \item \code{\link[=CFfactor_coverage]{CFfactor_coverage()}}: How much data is available for each level of the factor? } \strong{Filtering and selection} \itemize{ \item \code{\link[=slice]{slice()}}: Logical vector of time steps between two extreme points. \item \code{\link[=indexOf]{indexOf()}}: Index values in the time series of given timestamps, possibly with fractional part for interpolation. } } \seealso{ Useful links: \itemize{ \item \url{https://r-cf.github.io/CFtime/} \item \url{https://github.com/R-CF/CFtime} \item Report bugs at \url{https://github.com/R-CF/CFtime/issues} } } \author{ \strong{Maintainer}: Patrick Van Laake \email{patrick@vanlaake.net} [copyright holder] } \keyword{internal} CFtime/man/properties.Rd0000644000176200001440000000326114726276120014670 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/api.R \name{definition} \alias{definition} \alias{properties} \alias{calendar} \alias{unit} \alias{origin} \alias{timezone} \alias{offsets} \alias{resolution} \title{Properties of a CFTime object} \usage{ definition(t) calendar(t) unit(t) origin(t) timezone(t) offsets(t) resolution(t) } \arguments{ \item{t}{An instance of \code{CFTime}.} } \value{ \code{calendar()} and \code{unit()} return a character string. \code{origin()} returns a data frame of timestamp elements with a single row of data. \code{timezone()} returns the calendar time zone as a character string. \code{offsets()} returns a vector of offsets or \code{NULL} if no offsets have been set. } \description{ These functions return the properties of an instance of the \link{CFTime} class. The properties are all read-only, but offsets can be added using the \code{+} operator. } \section{Functions}{ \itemize{ \item \code{definition()}: The definition string of the \code{CFTime} instance. \item \code{calendar()}: The calendar of the \code{CFTime} instance. \item \code{unit()}: The unit of the \code{CFTime} instance. \item \code{origin()}: The origin of the \code{CFTime} instance in timestamp elements. \item \code{timezone()}: The time zone of the calendar of the \code{CFTime} instance as a character string. \item \code{offsets()}: The offsets of the \code{CFTime} instance as a numeric vector. \item \code{resolution()}: The average separation between the offsets in the \code{CFTime} instance. }} \examples{ t <- CFtime("days since 1850-01-01", "julian", 0:364) definition(t) calendar(t) unit(t) timezone(t) origin(t) offsets(t) resolution(t) } CFtime/man/CFfactor_units.Rd0000644000176200001440000000457514726276120015416 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/api.R \name{CFfactor_units} \alias{CFfactor_units} \title{Number of base time units in each factor level} \usage{ CFfactor_units(t, f) } \arguments{ \item{t}{An instance of \code{CFTime}.} \item{f}{A factor or a list of factors derived from the parameter \code{t}. The factor or list thereof should generally be generated by the function \code{\link[=CFfactor]{CFfactor()}}.} } \value{ If \code{f} is a factor, a numeric vector with a length equal to the number of levels in the factor, indicating the number of time units in each level of the factor. If \code{f} is a list of factors, a list with each element a numeric vector as above. } \description{ Given a factor as returned by \code{\link[=CFfactor]{CFfactor()}} and the \link{CFTime} instance from which the factor was derived, this function will return a numeric vector with the number of time units in each level of the factor. } \details{ The result of this function is useful to convert between absolute and relative values. Climate change anomalies, for instance, are usually computed by differencing average values between a future period and a baseline period. Going from average values back to absolute values for an aggregate period (which is typical for temperature and precipitation, among other variables) is easily done with the result of this function, without having to consider the specifics of the calendar of the data set. If the factor \code{f} is for an era (e.g. spanning multiple years and the levels do not indicate the specific year), then the result will indicate the number of time units of the period in a regular single year. In other words, for an era of 2041-2060 and a monthly factor on a standard calendar with a \code{days} unit, the result will be \code{c(31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31)}. Leap days are thus only considered for the \verb{366_day} and \code{all_leap} calendars. Note that this function gives the number of time units in each level of the factor - the actual number of data points in the \code{cf} instance per factor level may be different. Use \code{\link[=CFfactor_coverage]{CFfactor_coverage()}} to determine the actual number of data points or the coverage of data points relative to the factor level. } \examples{ t <- CFtime("days since 2001-01-01", "365_day", 0:364) f <- CFfactor(t, "dekad") CFfactor_units(t, f) } CFtime/man/CFTime.Rd0000644000176200001440000007302515071015373013603 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/CFtime.R \docType{class} \name{CFTime} \alias{CFTime} \title{CFTime class} \description{ This class manages the "time" dimension of netCDF files that follow the CF Metadata Conventions, and its productive use in R. The class has a field \code{cal} which holds a specific calendar from the allowed types (all named calendars are supported). The calendar is also implemented as a (hidden) class which converts netCDF file encodings to timestamps as character strings, and vice-versa. Bounds information (the period of time over which a timestamp is valid) is used when defined in the netCDF file. Additionally, this class has functions to ease use of the netCDF "time" information when processing data from netCDF files. Filtering and indexing of time values is supported, as is the generation of factors. } \references{ https://cfconventions.org/Data/cf-conventions/cf-conventions-1.12/cf-conventions.html#time-coordinate } \section{Public fields}{ \if{html}{\out{
}} \describe{ \item{\code{cal}}{The calendar of this \code{CFTime} instance, a descendant of the \link{CFCalendar} class.} \item{\code{offsets}}{A numeric vector of offsets from the origin of the calendar.} \item{\code{resolution}}{The average number of time units between offsets.} } \if{html}{\out{
}} } \section{Active bindings}{ \if{html}{\out{
}} \describe{ \item{\code{calendar}}{(read-only) The calendar of this \code{CFTime} instance, a descendant of the \link{CFCalendar} class.} \item{\code{unit}}{(read-only) The unit string of the calendar and time series.} \item{\code{length}}{(read-only) Retrieve the number of offsets in the time series.} \item{\code{bounds}}{Retrieve or set the bounds for the offsets. On setting, a \code{matrix} with columns for \code{offsets} and low values in the first row, high values in the second row. This may be simply \code{TRUE} to set regular and consecutive bounds.} \item{\code{friendlyClassName}}{Character string with class name for display purposes.} } \if{html}{\out{
}} } \section{Methods}{ \subsection{Public methods}{ \itemize{ \item \href{#method-CFTime-new}{\code{CFTime$new()}} \item \href{#method-CFTime-print}{\code{CFTime$print()}} \item \href{#method-CFTime-range}{\code{CFTime$range()}} \item \href{#method-CFTime-as_timestamp}{\code{CFTime$as_timestamp()}} \item \href{#method-CFTime-format}{\code{CFTime$format()}} \item \href{#method-CFTime-indexOf}{\code{CFTime$indexOf()}} \item \href{#method-CFTime-get_bounds}{\code{CFTime$get_bounds()}} \item \href{#method-CFTime-set_bounds}{\code{CFTime$set_bounds()}} \item \href{#method-CFTime-equidistant}{\code{CFTime$equidistant()}} \item \href{#method-CFTime-slice}{\code{CFTime$slice()}} \item \href{#method-CFTime-POSIX_compatible}{\code{CFTime$POSIX_compatible()}} \item \href{#method-CFTime-cut}{\code{CFTime$cut()}} \item \href{#method-CFTime-factor}{\code{CFTime$factor()}} \item \href{#method-CFTime-factor_units}{\code{CFTime$factor_units()}} \item \href{#method-CFTime-factor_coverage}{\code{CFTime$factor_coverage()}} \item \href{#method-CFTime-copy}{\code{CFTime$copy()}} \item \href{#method-CFTime-subset}{\code{CFTime$subset()}} \item \href{#method-CFTime-clone}{\code{CFTime$clone()}} } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFTime-new}{}}} \subsection{Method \code{new()}}{ Create a new instance of this class. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFTime$new(definition, calendar = "standard", offsets = NULL)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{definition}}{Character string of the units and origin of the calendar.} \item{\code{calendar}}{Character string of the calendar to use. Must be one of the values permitted by the CF Metadata Conventions. If \code{NULL}, the "standard" calendar will be used.} \item{\code{offsets}}{Numeric or character vector, optional. When numeric, a vector of offsets from the origin in the time series. When a character vector of length 2 or more, timestamps in ISO8601 or UDUNITS format.} } \if{html}{\out{
}} } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFTime-print}{}}} \subsection{Method \code{print()}}{ Print a summary of the \code{CFTime} object to the console. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFTime$print(...)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{...}}{Ignored.} } \if{html}{\out{
}} } \subsection{Returns}{ Self, invisibly. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFTime-range}{}}} \subsection{Method \code{range()}}{ This method returns the first and last timestamp of the time series as a vector. Note that the offsets do not have to be sorted. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFTime$range(format = "", bounds = FALSE)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{format}}{Value of "date" or "timestamp". Optionally, a character string that specifies an alternate format.} \item{\code{bounds}}{Logical to indicate if the extremes from the bounds should be used, if set. Defaults to \code{FALSE}.} } \if{html}{\out{
}} } \subsection{Returns}{ Vector of two character strings that represent the starting and ending timestamps in the time series. If a \code{format} is supplied, that format will be used. Otherwise, if all of the timestamps in the time series have a time component of \code{00:00:00} the date of the timestamp is returned, otherwise the full timestamp (without any time zone information). } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFTime-as_timestamp}{}}} \subsection{Method \code{as_timestamp()}}{ This method generates a vector of character strings or \code{POSIXct}s that represent the date and time in a selectable combination for each offset. The character strings use the format \verb{YYYY-MM-DDThh:mm:ss±hhmm}, depending on the \code{format} specifier. The date in the string is not necessarily compatible with \code{POSIXt} - in the \verb{360_day} calendar \code{2017-02-30} is valid and \code{2017-03-31} is not. For the "proleptic_gregorian" calendar the output can also be generated as a vector of \code{POSIXct} values by specifying \code{asPOSIX = TRUE}. The same is possible for the "standard" and "gregorian" calendars but only if all timestamps fall on or after 1582-10-15. If \code{asPOSIX = TRUE} is specified while the calendar does not support it, an error will be generated. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFTime$as_timestamp(format = NULL, asPOSIX = FALSE)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{format}}{character. A character string with either of the values "date" or "timestamp". If the argument is not specified, the format used is "timestamp" if there is time information, "date" otherwise.} \item{\code{asPOSIX}}{logical. If \code{TRUE}, for "standard", "gregorian" and "proleptic_gregorian" calendars the output is a vector of \code{POSIXct} - for other calendars an error will be thrown. Default value is \code{FALSE}.} } \if{html}{\out{
}} } \subsection{Returns}{ A character vector where each element represents a moment in time according to the \code{format} specifier. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFTime-format}{}}} \subsection{Method \code{format()}}{ Format timestamps using a specific format string, using the specifiers defined for the \code{\link[base:strptime]{base::strptime()}} function, with limitations. The only supported specifiers are \verb{bBdeFhHImMpRSTYz\%}. Modifiers \code{E} and \code{O} are silently ignored. Other specifiers, including their percent sign, are copied to the output as if they were adorning text. The formatting is largely oblivious to locale. The reason for this is that certain dates in certain calendars are not POSIX-compliant and the system functions necessary for locale information thus do not work consistently. The main exception to this is the (abbreviated) names of months (\code{bB}), which could be useful for pretty printing in the local language. For separators and other locale-specific adornments, use local knowledge instead of depending on system locale settings; e.g. specify \verb{\%m/\%d/\%Y} instead of \verb{\%D}. Week information, including weekday names, is not supported at all as a "week" is not defined for non-standard CF calendars and not generally useful for climate projection data. If you are working with observed data and want to get pretty week formats, use the \code{\link[=as_timestamp]{as_timestamp()}} method to generate \code{POSIXct} timestamps (observed data generally uses a "standard" calendar) and then use the \code{\link[base:format]{base::format()}} function which supports the full set of specifiers. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFTime$format(format, usetz = FALSE)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{format}}{A character string with \code{strptime} format specifiers. If omitted, the most economical format will be used: a full timestamp when time information is available, a date otherwise.} \item{\code{usetz}}{Logical. Should the time zone offset be appended to the output? This is always in numerical form, i.e. "-0800", from UTC. Default is \code{FALSE}.} } \if{html}{\out{
}} } \subsection{Returns}{ A vector of character strings with a properly formatted timestamp. Any format specifiers not recognized or supported will be returned verbatim. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFTime-indexOf}{}}} \subsection{Method \code{indexOf()}}{ Find the index in the time series for each timestamp given in argument \code{x}. Alternatively, when \code{x} is a numeric vector of index values, return the valid indices of the same vector, with the side effect being the attribute "CFTime" associated with the result. Matching also returns index values for timestamps that fall between two elements of the time series - this can lead to surprising results when time series elements are positioned in the middle of an interval (as the CF Metadata Conventions instruct us to "reasonably assume"): a time series of days in January would be encoded in a netCDF file as \code{c("2024-01-01 12:00:00", "2024-01-02 12:00:00", "2024-01-03 12:00:00", ...)} so \code{x <- c("2024-01-01", "2024-01-02", "2024-01-03")} would result in \verb{(NA, 1, 2)} (or \verb{(NA, 1.5, 2.5)} with \code{method = "linear"}) because the date values in \code{x} are at midnight. This situation is easily avoided by ensuring that this \code{CFTime} instance has bounds set (use \code{bounds(y) <- TRUE} as a proximate solution if bounds are not stored in the netCDF file). If bounds are set, the indices are informed by those bounds. If the bounds are not contiguous, returned values may be \code{NA} even if the value of \code{x} falls between two valid timestamps. Values of \code{x} that are not valid timestamps according to the calendar of this \code{CFTime} instance will be returned as \code{NA}. Argument \code{x} can also be a numeric vector of index values, in which case the valid values in \code{x} are returned. If negative values are passed, the positive counterparts will be excluded and then the remainder returned. Positive and negative values may not be mixed. Using a numeric vector has the side effect that the result has the attribute "CFTime" describing the temporal dimension of the slice. If index values outside of the range of \code{self} are provided, an error will be thrown. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFTime$indexOf(x, method = "constant", rightmost.closed = FALSE)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{x}}{Vector of \code{character}, \code{POSIXt} or \code{Date} values to find indices for, or a \code{numeric} vector.} \item{\code{method}}{Single value of "constant" or "linear". If \code{"constant"}, return the index value for each match. If \code{"linear"}, return the index value with any fractional value.} \item{\code{rightmost.closed}}{Whether or not to include the upper limit of argument \code{x}. Default is \code{FALSE}. This argument is ignored when argument \code{x} contains index values.} } \if{html}{\out{
}} } \subsection{Returns}{ A numeric vector giving indices into \code{self} for the valid values of \code{x}. If there is at least 1 valid index, then attribute "CFTime" contains an instance of \code{CFTime} that describes the dimension of filtering the dataset associated with \code{self} with the result of this method, excluding any \code{NA} values. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFTime-get_bounds}{}}} \subsection{Method \code{get_bounds()}}{ Return boundary values. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFTime$get_bounds(format)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{format}}{A string specifying a format for output, optional.} } \if{html}{\out{
}} } \subsection{Returns}{ An array with \code{dims(2, length(offsets))} with values for the boundaries. \code{NULL} if the boundaries have not been set. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFTime-set_bounds}{}}} \subsection{Method \code{set_bounds()}}{ Set or delete the boundary values of the \code{CFTime} instance. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFTime$set_bounds(value)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{value}}{The boundary values to set, in units of the offsets. A matrix \verb{(2, length(self$offsets))}. If \code{NULL}, the boundaries are deleted. If \code{TRUE}, make regular, consecutive boundaries.} } \if{html}{\out{
}} } \subsection{Returns}{ Self, invisibly. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFTime-equidistant}{}}} \subsection{Method \code{equidistant()}}{ This method returns \code{TRUE} if the time series has uniformly distributed time steps between the extreme values, \code{FALSE} otherwise. First test without sorting; this should work for most data sets. If not, only then offsets are sorted. For most data sets that will work but for implied resolutions of month, season, year, etc based on a "days" or finer calendar unit this will fail due to the fact that those coarser units have a variable number of days per time step, in all calendars except for \verb{360_day}. For now, an approximate solution is used that should work in all but the most non-conformal exotic arrangements. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFTime$equidistant()}\if{html}{\out{
}} } \subsection{Returns}{ \code{TRUE} if all time steps are equidistant, \code{FALSE} otherwise, or \code{NA} if no offsets have been set. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFTime-slice}{}}} \subsection{Method \code{slice()}}{ Given a vector of character timestamps, return a logical vector of a length equal to the number of time steps in the time series with values \code{TRUE} for those time steps that fall between the two extreme values of the vector values, \code{FALSE} otherwise. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFTime$slice(extremes, closed = FALSE)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{extremes}}{Character vector of timestamps that represent the time period of interest. The extreme values are selected. Badly formatted timestamps are silently dropped.} \item{\code{closed}}{Is the right side closed, i.e. included in the result? Default is \code{FALSE}. A specification of \verb{c("2022-01-01", "2023-01-01)} will thus include all time steps that fall in the year 2022 when \code{closed = FALSE} but include \code{2023-01-01} if that exact value is present in the time series.} } \if{html}{\out{
}} } \subsection{Returns}{ A logical vector with a length equal to the number of time steps in \code{self} with values \code{TRUE} for those time steps that fall between the extreme values, \code{FALSE} otherwise. An attribute 'CFTime' will have the same definition as \code{self} but with offsets corresponding to the time steps falling between the two extremes. If there are no values between the extremes, the attribute is not set. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFTime-POSIX_compatible}{}}} \subsection{Method \code{POSIX_compatible()}}{ Can the time series be converted to POSIXt? \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFTime$POSIX_compatible()}\if{html}{\out{
}} } \subsection{Returns}{ \code{TRUE} if the calendar support conversion to POSIXt, \code{FALSE} otherwise. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFTime-cut}{}}} \subsection{Method \code{cut()}}{ Create a factor for a \code{CFTime} instance. When argument \code{breaks} is one of \verb{"year", "season", "quarter", "month", "dekad", "day"}, a factor is generated like by \code{\link[=CFfactor]{CFfactor()}}. When \code{breaks} is a vector of character timestamps a factor is produced with a level for every interval between timestamps. The last timestamp, therefore, is only used to close the interval started by the pen-ultimate timestamp - use a distant timestamp (e.g. \code{range(x)[2]}) to ensure that all offsets to the end of the CFTime time series are included, if so desired. The last timestamp will become the upper bound in the \code{CFTime} instance that is returned as an attribute to this function so a sensible value for the last timestamp is advisable. This method works similar to \code{\link[base:cut.POSIXt]{base::cut.POSIXt()}} but there are some differences in the arguments: for \code{breaks} the set of options is different and no preceding integer is allowed, \code{labels} are always assigned using values of \code{breaks}, and the interval is always left-closed. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFTime$cut(breaks)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{breaks}}{A character string of a factor period (see \code{\link[=CFfactor]{CFfactor()}} for a description), or a character vector of timestamps that conform to the calendar of \code{x}, with a length of at least 2. Timestamps must be given in ISO8601 format, e.g. "2024-04-10 21:31:43".} } \if{html}{\out{
}} } \subsection{Returns}{ A factor with levels according to the \code{breaks} argument, with attributes 'period', 'era' and 'CFTime'. When \code{breaks} is a factor period, attribute 'period' has that value, otherwise it is '"day"'. When \code{breaks} is a character vector of timestamps, attribute 'CFTime' holds an instance of \code{CFTime} that has the same definition as \code{x}, but with (ordered) offsets generated from the \code{breaks}. Attribute 'era' is always -1. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFTime-factor}{}}} \subsection{Method \code{factor()}}{ Generate a factor for the offsets, or a part thereof. This is specifically interesting for creating factors from the date part of the time series that aggregate the time series into longer time periods (such as month) that can then be used to process daily CF data sets using, for instance, \code{tapply()}. The factor will respect the calendar that the time series is built on. The factor will be generated in the order of the offsets. While typical CF-compliant data sources use ordered time series there is, however, no guarantee that the factor is ordered. For most processing with a factor the ordering is of no concern. If the \code{era} parameter is specified, either as a vector of years to include in the factor, or as a list of such vectors, the factor will only consider those values in the time series that fall within the list of years, inclusive of boundary values. Other values in the factor will be set to \code{NA}. The following periods are supported by this method: \itemize{ \item \code{year}, the year of each offset is returned as "YYYY". \item \code{season}, the meteorological season of each offset is returned as "Sx", with x being 1-4, preceeded by "YYYY" if no \code{era} is specified. Note that December dates are labeled as belonging to the subsequent year, so the date "2020-12-01" yields "2021S1". This implies that for standard CMIP files having one or more full years of data the first season will have data for the first two months (January and February), while the final season will have only a single month of data (December). \item \code{quarter}, the calendar quarter of each offset is returned as "Qx", with x being 1-4, preceeded by "YYYY" if no \code{era} is specified. \item \code{month}, the month of each offset is returned as "01" to "12", preceeded by "YYYY-" if no \code{era} is specified. This is the default period. \item \code{dekad}, ten-day periods are returned as "Dxx", where xx runs from "01" to "36", preceeded by "YYYY" if no \code{era} is specified. Each month is subdivided in dekads as follows: 1- days 01 - 10; 2- days 11 - 20; 3- remainder of the month. \item \code{day}, the month and day of each offset are returned as "MM-DD", preceeded by "YYYY-" if no \code{era} is specified. } It is not possible to create a factor for a period that is shorter than the temporal resolution of the calendar. As an example, if the calendar has a monthly unit, a dekad or day factor cannot be created. Creating factors for other periods is not supported by this method. Factors based on the timestamp information and not dependent on the calendar can trivially be constructed from the output of the \code{\link[=as_timestamp]{as_timestamp()}} function. Attribute 'CFTime' of the result contains a \code{CFTime} instance that is valid for the result of applying the factor to a resource that this instance is associated with. In other words, if \code{CFTime} instance 'At' describes the temporal dimension of resource 'A' and a factor 'Af' is generated from \code{Af <- At$factor()}, then \code{Bt <- attr(Af, "CFTime")} describes the temporal dimension of the result of, say, \code{B <- apply(A, 1:2, tapply, Af, FUN)}. The 'CFTime' attribute contains a \link{CFClimatology} instance for era factors. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFTime$factor(period = "month", era = NULL)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{period}}{character. A character string with one of the values "year", "season", "quarter", "month" (the default), "dekad" or "day".} \item{\code{era}}{numeric or list, optional. Vector of years for which to construct the factor, or a list whose elements are each a vector of years. The extreme values of the supplied vector will be used. Note that if a single year is specified that the result is valid, but not a climatological statistic. If \code{era} is not specified, the factor will use the entire time series for the factor.} } \if{html}{\out{
}} } \subsection{Returns}{ If \code{era} is a single vector or \code{NULL}, a factor with a length equal to the number of offsets in this instance. If \code{era} is a list, a list with the same number of elements and names as \code{era}, each containing a factor. Elements in the factor will be set to \code{NA} for time series values outside of the range of specified years. The factor, or factors in the list, have attributes 'period', 'era' and 'CFTime'. Attribute 'period' holds the value of the \code{period} argument. Attribute 'era' indicates the number of years that are included in the era, or -1 if no \code{era} is provided. Attribute 'CFTime' holds an instance of \code{CFTime} or \code{CFClimatology} that has the same definition as this instance, but with offsets corresponding to the mid-point of the factor levels. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFTime-factor_units}{}}} \subsection{Method \code{factor_units()}}{ Given a factor as produced by \code{CFTime$factor()}, this method will return a numeric vector with the number of time units in each level of the factor. The result of this method is useful to convert between absolute and relative values. Climate change anomalies, for instance, are usually computed by differencing average values between a future period and a baseline period. Going from average values back to absolute values for an aggregate period (which is typical for temperature and precipitation, among other variables) is easily done with the result of this method, without having to consider the specifics of the calendar of the data set. If the factor \code{f} is for an era (e.g. spanning multiple years and the levels do not indicate the specific year), then the result will indicate the number of time units of the period in a regular single year. In other words, for an era of 2041-2060 and a monthly factor on a standard calendar with a \code{days} unit, the result will be \code{c(31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31)}. Leap days are thus only considered for the \verb{366_day} and \code{all_leap} calendars. Note that this function gives the number of time units in each level of the factor - the actual number of data points in the time series per factor level may be different. Use \code{\link[=CFfactor_coverage]{CFfactor_coverage()}} to determine the actual number of data points or the coverage of data points relative to the factor level. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFTime$factor_units(f)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{f}}{A factor or a list of factors derived from the method \code{CFTime$factor()}.} } \if{html}{\out{
}} } \subsection{Returns}{ If \code{f} is a factor, a numeric vector with a length equal to the number of levels in the factor, indicating the number of time units in each level of the factor. If \code{f} is a list of factors, a list with each element a numeric vector as above. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFTime-factor_coverage}{}}} \subsection{Method \code{factor_coverage()}}{ Calculate the number of time elements, or the relative coverage, in each level of a factor generated by \code{CFTime$factor()}. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFTime$factor_coverage(f, coverage = "absolute")}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{f}}{A factor or a list of factors derived from the method \code{CFTime$factor()}.} \item{\code{coverage}}{"absolute" or "relative".} } \if{html}{\out{
}} } \subsection{Returns}{ If \code{f} is a factor, a numeric vector with a length equal to the number of levels in the factor, indicating the number of units from the time series contained in each level of the factor when \code{coverage = "absolute"} or the proportion of units present relative to the maximum number when \code{coverage = "relative"}. If \code{f} is a list of factors, a list with each element a numeric vector as above. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFTime-copy}{}}} \subsection{Method \code{copy()}}{ Create a copy of the current instance. The copy is completely separate from the current instance. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFTime$copy()}\if{html}{\out{
}} } \subsection{Returns}{ A new \code{CFTime} instance with identical definition and set of timestamps. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFTime-subset}{}}} \subsection{Method \code{subset()}}{ Get a new \code{CFTime} instance that is a subset of the current instance, including any boundary values. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFTime$subset(rng)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{rng}}{The numeric range of indices to subset this instance to.} } \if{html}{\out{
}} } \subsection{Returns}{ A new \code{CFTime} instance with identical definition and set of timestamps according to the \code{rng} argument. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFTime-clone}{}}} \subsection{Method \code{clone()}}{ The objects of this class are cloneable with this method. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFTime$clone(deep = FALSE)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{deep}}{Whether to make a deep clone.} } \if{html}{\out{
}} } } } CFtime/man/CFCalendarProleptic.Rd0000644000176200001440000002172714776220607016313 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/CFCalendarProleptic.R \docType{class} \name{CFCalendarProleptic} \alias{CFCalendarProleptic} \title{Proleptic Gregorian CF calendar} \description{ This class represents a standard CF calendar, but with the Gregorian calendar extended backwards to before the introduction of the Gregorian calendar. This calendar is compatible with the standard POSIXt calendar, but note that daylight savings time is not considered. This calendar includes dates 1582-10-14 to 1582-10-05 (the gap between the Gregorian and Julian calendars, which is observed by the standard calendar), and extends to years before the year 1, including year 0. } \section{Super class}{ \code{\link[CFtime:CFCalendar]{CFtime::CFCalendar}} -> \code{CFCalendarProleptic} } \section{Methods}{ \subsection{Public methods}{ \itemize{ \item \href{#method-CFCalendarProleptic-new}{\code{CFCalendarProleptic$new()}} \item \href{#method-CFCalendarProleptic-valid_days}{\code{CFCalendarProleptic$valid_days()}} \item \href{#method-CFCalendarProleptic-month_days}{\code{CFCalendarProleptic$month_days()}} \item \href{#method-CFCalendarProleptic-leap_year}{\code{CFCalendarProleptic$leap_year()}} \item \href{#method-CFCalendarProleptic-POSIX_compatible}{\code{CFCalendarProleptic$POSIX_compatible()}} \item \href{#method-CFCalendarProleptic-date2offset}{\code{CFCalendarProleptic$date2offset()}} \item \href{#method-CFCalendarProleptic-offset2date}{\code{CFCalendarProleptic$offset2date()}} \item \href{#method-CFCalendarProleptic-clone}{\code{CFCalendarProleptic$clone()}} } } \if{html}{\out{
Inherited methods
}} \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarProleptic-new}{}}} \subsection{Method \code{new()}}{ Create a new CF calendar. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarProleptic$new(nm, definition)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{nm}}{The name of the calendar. This must be "proleptic_gregorian". This argument is superfluous but maintained to be consistent with the initialization methods of the parent and sibling classes.} \item{\code{definition}}{The string that defines the units and the origin, as per the CF Metadata Conventions.} } \if{html}{\out{
}} } \subsection{Returns}{ A new instance of this class. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarProleptic-valid_days}{}}} \subsection{Method \code{valid_days()}}{ Indicate which of the supplied dates are valid. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarProleptic$valid_days(ymd)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{ymd}}{\code{data.frame} with dates parsed into their parts in columns \code{year}, \code{month} and \code{day}. Any other columns are disregarded.} } \if{html}{\out{
}} } \subsection{Returns}{ Logical vector with the same length as argument \code{ymd} has rows with \code{TRUE} for valid days and \code{FALSE} for invalid days, or \code{NA} where the row in argument \code{ymd} has \code{NA} values. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarProleptic-month_days}{}}} \subsection{Method \code{month_days()}}{ Determine the number of days in the month of the calendar. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarProleptic$month_days(ymd = NULL)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{ymd}}{\code{data.frame}, optional, with dates parsed into their parts.} } \if{html}{\out{
}} } \subsection{Returns}{ Integer vector indicating the number of days in each month for the dates supplied as argument \code{ymd}. If no dates are supplied, the number of days per month for the calendar as a vector of length 12, for a regular year without a leap day. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarProleptic-leap_year}{}}} \subsection{Method \code{leap_year()}}{ Indicate which years are leap years. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarProleptic$leap_year(yr)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{yr}}{Integer vector of years to test.} } \if{html}{\out{
}} } \subsection{Returns}{ Logical vector with the same length as argument \code{yr}. \code{NA} is returned where elements in argument \code{yr} are \code{NA}. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarProleptic-POSIX_compatible}{}}} \subsection{Method \code{POSIX_compatible()}}{ Indicate if the time series described using this calendar can be safely converted to a standard date-time type (\code{POSIXct}, \code{POSIXlt}, \code{Date}). \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarProleptic$POSIX_compatible(offsets)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{offsets}}{The offsets from the CFtime instance.} } \if{html}{\out{
}} } \subsection{Returns}{ \code{TRUE}. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarProleptic-date2offset}{}}} \subsection{Method \code{date2offset()}}{ Calculate difference in days between a \code{data.frame} of time parts and the origin. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarProleptic$date2offset(x)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{x}}{\code{data.frame}. Dates to calculate the difference for.} } \if{html}{\out{
}} } \subsection{Returns}{ Integer vector of a length equal to the number of rows in argument \code{x} indicating the number of days between \code{x} and the \code{origin}, or \code{NA} for rows in \code{x} with \code{NA} values. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarProleptic-offset2date}{}}} \subsection{Method \code{offset2date()}}{ Calculate date parts from day differences from the origin. This only deals with days as these are impacted by the calendar. Hour-minute-second timestamp parts are handled in \link{CFCalendar}. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarProleptic$offset2date(x)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{x}}{Integer vector of days to add to the origin.} } \if{html}{\out{
}} } \subsection{Returns}{ A \code{data.frame} with columns 'year', 'month' and 'day' and as many rows as the length of vector \code{x}. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarProleptic-clone}{}}} \subsection{Method \code{clone()}}{ The objects of this class are cloneable with this method. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarProleptic$clone(deep = FALSE)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{deep}}{Whether to make a deep clone.} } \if{html}{\out{
}} } } } CFtime/man/CFCalendar365.Rd0000644000176200001440000001747214776220607014671 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/CFCalendar365.R \docType{class} \name{CFCalendar365} \alias{CFCalendar365} \title{365-day CF calendar} \description{ This class represents a CF calendar of 365 days per year, having no leap days in any year. This calendar is not compatible with the standard POSIXt calendar. This calendar supports dates before year 1 and includes the year 0. } \section{Super class}{ \code{\link[CFtime:CFCalendar]{CFtime::CFCalendar}} -> \code{CFCalendar365} } \section{Methods}{ \subsection{Public methods}{ \itemize{ \item \href{#method-CFCalendar365-new}{\code{CFCalendar365$new()}} \item \href{#method-CFCalendar365-valid_days}{\code{CFCalendar365$valid_days()}} \item \href{#method-CFCalendar365-month_days}{\code{CFCalendar365$month_days()}} \item \href{#method-CFCalendar365-leap_year}{\code{CFCalendar365$leap_year()}} \item \href{#method-CFCalendar365-date2offset}{\code{CFCalendar365$date2offset()}} \item \href{#method-CFCalendar365-offset2date}{\code{CFCalendar365$offset2date()}} \item \href{#method-CFCalendar365-clone}{\code{CFCalendar365$clone()}} } } \if{html}{\out{
Inherited methods
}} \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar365-new}{}}} \subsection{Method \code{new()}}{ Create a new CF calendar of 365 days per year. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar365$new(nm, definition)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{nm}}{The name of the calendar. This must be "365_day" or "noleap".} \item{\code{definition}}{The string that defines the units and the origin, as per the CF Metadata Conventions.} } \if{html}{\out{
}} } \subsection{Returns}{ A new instance of this class. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar365-valid_days}{}}} \subsection{Method \code{valid_days()}}{ Indicate which of the supplied dates are valid. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar365$valid_days(ymd)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{ymd}}{\code{data.frame} with dates parsed into their parts in columns \code{year}, \code{month} and \code{day}. Any other columns are disregarded.} } \if{html}{\out{
}} } \subsection{Returns}{ Logical vector with the same length as argument \code{ymd} has rows with \code{TRUE} for valid days and \code{FALSE} for invalid days, or \code{NA} where the row in argument \code{ymd} has \code{NA} values. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar365-month_days}{}}} \subsection{Method \code{month_days()}}{ Determine the number of days in the month of the calendar. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar365$month_days(ymd = NULL)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{ymd}}{\code{data.frame}, optional, with dates parsed into their parts.} } \if{html}{\out{
}} } \subsection{Returns}{ A vector indicating the number of days in each month for the dates supplied as argument \code{ymd}. If no dates are supplied, the number of days per month for the calendar as a vector of length 12. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar365-leap_year}{}}} \subsection{Method \code{leap_year()}}{ Indicate which years are leap years. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar365$leap_year(yr)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{yr}}{Integer vector of years to test.} } \if{html}{\out{
}} } \subsection{Returns}{ Logical vector with the same length as argument \code{yr}. Since this calendar does not use leap days, all values will be \code{FALSE}, or \code{NA} where argument \code{yr} is \code{NA}. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar365-date2offset}{}}} \subsection{Method \code{date2offset()}}{ Calculate difference in days between a \code{data.frame} of time parts and the origin. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar365$date2offset(x)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{x}}{\code{data.frame}. Dates to calculate the difference for.} } \if{html}{\out{
}} } \subsection{Returns}{ Integer vector of a length equal to the number of rows in argument \code{x} indicating the number of days between \code{x} and the \code{origin}, or \code{NA} for rows in \code{x} with \code{NA} values. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar365-offset2date}{}}} \subsection{Method \code{offset2date()}}{ Calculate date parts from day differences from the origin. This only deals with days as these are impacted by the calendar. Hour-minute-second timestamp parts are handled in \link{CFCalendar}. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar365$offset2date(x)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{x}}{Integer vector of days to add to the origin.} } \if{html}{\out{
}} } \subsection{Returns}{ A \code{data.frame} with columns 'year', 'month' and 'day' and as many rows as the length of vector \code{x}. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar365-clone}{}}} \subsection{Method \code{clone()}}{ The objects of this class are cloneable with this method. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar365$clone(deep = FALSE)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{deep}}{Whether to make a deep clone.} } \if{html}{\out{
}} } } } CFtime/man/CFCalendarUTC.Rd0000644000176200001440000001627014776220607015002 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/CFCalendarUTC.R \docType{class} \name{CFCalendarUTC} \alias{CFCalendarUTC} \title{Coordinated Universal Time CF calendar} \description{ This class represents a calendar based on the Coordinated Universal Time. Validity is from 1972 onwards, with dates represented using the Gregorian calendar, up to the present (so future timestamps are not allowed). Leap seconds are considered in all calculations. Also, time zone information is irrelevant and may not be given. In general, the calendar should use a unit of time of a second. Minute, hour and day are allowed but discouraged. Month and year as time unit are not allowed as there is no practical way to maintain leap second accuracy. } \section{Super classes}{ \code{\link[CFtime:CFCalendar]{CFtime::CFCalendar}} -> \code{\link[CFtime:CFCalendarProleptic]{CFtime::CFCalendarProleptic}} -> \code{CFCalendarUTC} } \section{Methods}{ \subsection{Public methods}{ \itemize{ \item \href{#method-CFCalendarUTC-new}{\code{CFCalendarUTC$new()}} \item \href{#method-CFCalendarUTC-valid_days}{\code{CFCalendarUTC$valid_days()}} \item \href{#method-CFCalendarUTC-parse}{\code{CFCalendarUTC$parse()}} \item \href{#method-CFCalendarUTC-offsets2time}{\code{CFCalendarUTC$offsets2time()}} \item \href{#method-CFCalendarUTC-clone}{\code{CFCalendarUTC$clone()}} } } \if{html}{\out{
Inherited methods
}} \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarUTC-new}{}}} \subsection{Method \code{new()}}{ Create a new CF UTC calendar. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarUTC$new(nm, definition)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{nm}}{The name of the calendar. This must be "utc".} \item{\code{definition}}{The string that defines the units and the origin, as per the CF Metadata Conventions.} } \if{html}{\out{
}} } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarUTC-valid_days}{}}} \subsection{Method \code{valid_days()}}{ Indicate which of the supplied dates are valid. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarUTC$valid_days(ymd)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{ymd}}{\code{data.frame} with dates parsed into their parts in columns \code{year}, \code{month} and \code{day}. Any other columns are disregarded.} } \if{html}{\out{
}} } \subsection{Returns}{ Logical vector with the same length as argument \code{ymd} has rows with \code{TRUE} for valid days and \code{FALSE} for invalid days, or \code{NA} where the row in argument \code{ymd} has \code{NA} values. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarUTC-parse}{}}} \subsection{Method \code{parse()}}{ Parsing a vector of date-time character strings into parts. This includes any leap seconds. Time zone indications are not allowed. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarUTC$parse(d)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{d}}{character. A character vector of date-times.} } \if{html}{\out{
}} } \subsection{Returns}{ A \code{data.frame} with columns year, month, day, hour, minute, second, time zone, and offset. Invalid input data will appear as \code{NA}. Note that the time zone is always "+0000" and is included to maintain compatibility with results from other calendars. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarUTC-offsets2time}{}}} \subsection{Method \code{offsets2time()}}{ Decompose a vector of offsets, in units of the calendar, to their timestamp values. This adds a specified amount of time to the origin of a \code{CFTime} object. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarUTC$offsets2time(offsets = NULL)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{offsets}}{Vector of numeric offsets to add to the origin of the calendar.} } \if{html}{\out{
}} } \subsection{Returns}{ A \code{data.frame} with columns for the timestamp elements and as many rows as there are offsets. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarUTC-clone}{}}} \subsection{Method \code{clone()}}{ The objects of this class are cloneable with this method. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarUTC$clone(deep = FALSE)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{deep}}{Whether to make a deep clone.} } \if{html}{\out{
}} } } } CFtime/man/CFtime-function.Rd0000644000176200001440000000572615076635612015502 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/api.R \name{CFtime-function} \alias{CFtime-function} \alias{CFtime} \title{Create a CFTime object} \usage{ CFtime(definition, calendar = "standard", offsets, from, to, by, length.out) } \arguments{ \item{definition}{A character string describing the time coordinate.} \item{calendar}{A character string describing the calendar to use with the time dimension definition string. Default value is "standard".} \item{offsets}{Numeric or character vector, optional. When numeric, a vector of offsets from the origin in the time series. When a character vector, timestamps in ISO8601 or UDUNITS format.} \item{from, to}{Optional. Character timestamps in ISO8601 or UDUNITS format. When \code{from} is given, a sequence of timestamps is generated with \code{from} as the starting timestamp. Either argument \code{to} or \code{length.out} must be provided as well. Ignored when argument \code{offsets} is not \code{NULL}.} \item{by}{Optional. A single character string representing a time interval, composed of a number and a time unit separated by a space, such as in "6 hours". When argument \code{from} is supplied, argument \code{by} will be the separation between successive timestamps. Note that the time unit in the string does not have to be the same as the unit in the \code{definition} argument but it must be an allowable unit of time. Time interval units of "months" and "years" are strongly discouraged unless the same time unit is used in the \code{definition} argument - in all other cases there is a loss of precision due to the ambiguity in the time units.} \item{length.out}{Optional. An numeric value that indicates the lengths of the time series to generate, rounded up if fractional. Ignored when argument \code{to} is provided.} } \value{ An instance of the \code{CFTime} class. } \description{ This function creates an instance of the \link{CFTime} class. The arguments to the call are typically read from a CF-compliant data file with climatological observations or climate projections. Specification of arguments can also be made manually in a variety of combinations. } \details{ A time series can also be constructed like a sequence. In this case argument \code{offsets} should be \code{NULL} or missing and arguments \code{from} and \code{by} provided, with either of arguments \code{to} or \code{length.out} indicating the end of the time series. Arguments should be named to avoid ambiguity. } \examples{ # Using numeric offset values - this is how a netCDF file works CFtime("days since 1850-01-01", "julian", 0:364) # A time object with a single defined timestamp CFtime("hours since 2023-01-01", "360_day", "2023-01-30T23:00") # A time series from a sequence with an end point CFtime("days since 2023-01-01", from = "2020-01-01", to = "2023-12-31", by = "12 days") # A time series from a sequence with a specified length CFtime("days since 2023-01-01", from = "2020-01-01T03:00:00", by = "6 hr", length.out = 31 * 4) } CFtime/man/as.character.CFTime.Rd0000644000176200001440000000112015062523252016123 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/api.R \name{as.character.CFTime} \alias{as.character.CFTime} \title{Return the timestamps contained in the \code{CFTime} instance} \usage{ \method{as.character}{CFTime}(x, ...) } \arguments{ \item{x}{The \code{CFTime} instance whose timestamps will be returned.} \item{...}{Ignored.} } \value{ The timestamps in the specified \code{CFTime} instance. } \description{ Return the timestamps contained in the \code{CFTime} instance } \examples{ t <- CFtime("days since 1850-01-01", "julian", 0:364) as.character(t) } CFtime/man/CFCalendarTAI.Rd0000644000176200001440000001234514776220607014763 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/CFCalendarTAI.R \docType{class} \name{CFCalendarTAI} \alias{CFCalendarTAI} \title{International Atomic Time CF calendar} \description{ This class represents a calendar based on the International Atomic Time. Validity is from 1958 onwards, with dates represented using the Gregorian calendar. Given that this "calendar" is based on a universal clock, the concepts of leap second, time zone and daylight savings time do not apply. } \section{Super classes}{ \code{\link[CFtime:CFCalendar]{CFtime::CFCalendar}} -> \code{\link[CFtime:CFCalendarProleptic]{CFtime::CFCalendarProleptic}} -> \code{CFCalendarTAI} } \section{Methods}{ \subsection{Public methods}{ \itemize{ \item \href{#method-CFCalendarTAI-valid_days}{\code{CFCalendarTAI$valid_days()}} \item \href{#method-CFCalendarTAI-clone}{\code{CFCalendarTAI$clone()}} } } \if{html}{\out{
Inherited methods
}} \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarTAI-valid_days}{}}} \subsection{Method \code{valid_days()}}{ Indicate which of the supplied dates are valid. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarTAI$valid_days(ymd)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{ymd}}{\code{data.frame} with dates parsed into their parts in columns \code{year}, \code{month} and \code{day}. If present, the \code{tz} column is checked for illegal time zone offsets. Any other columns are disregarded.} } \if{html}{\out{
}} } \subsection{Returns}{ Logical vector with the same length as argument \code{ymd} has rows with \code{TRUE} for valid days and \code{FALSE} for invalid days, or \code{NA} where the row in argument \code{ymd} has \code{NA} values. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarTAI-clone}{}}} \subsection{Method \code{clone()}}{ The objects of this class are cloneable with this method. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarTAI$clone(deep = FALSE)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{deep}}{Whether to make a deep clone.} } \if{html}{\out{
}} } } } CFtime/man/is_complete.Rd0000644000176200001440000000273514725654542015013 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/api.R \name{is_complete} \alias{is_complete} \title{Indicates if the time series is complete} \usage{ is_complete(x) } \arguments{ \item{x}{An instance of the \link{CFTime} class.} } \value{ logical. \code{TRUE} if the time series is complete, with no gaps; \code{FALSE} otherwise. If no offsets have been added to the \code{CFTime} instance, \code{NA} is returned. } \description{ This function indicates if the time series is complete, meaning that the time steps are equally spaced and there are thus no gaps in the time series. } \details{ This function gives exact results for time series where the nominal \emph{unit of separation} between observations in the time series is exact in terms of the calendar unit. As an example, for a calendar unit of "days" where the observations are spaced a fixed number of days apart the result is exact, but if the same calendar unit is used for data that is on a monthly basis, the \emph{assessment} is approximate because the number of days per month is variable and dependent on the calendar (the exception being the \verb{360_day} calendar, where the assessment is exact). The \emph{result} is still correct in most cases (including all CF-compliant data sets that the developers have seen) although there may be esoteric constructions of CFTime and offsets that trip up this implementation. } \examples{ t <- CFtime("days since 1850-01-01", "julian", 0:364) is_complete(t) } CFtime/man/CFCalendarNone.Rd0000644000176200001440000002060614776220607015244 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/CFCalendarNone.R \docType{class} \name{CFCalendarNone} \alias{CFCalendarNone} \title{CF calendar with no annual cycle} \description{ This class represents a CF calendar with no annual cycle. All datetimes in the calendar are the same. This is useful only for repeated experiments simulating a fixed time in the year. } \section{Super class}{ \code{\link[CFtime:CFCalendar]{CFtime::CFCalendar}} -> \code{CFCalendarNone} } \section{Methods}{ \subsection{Public methods}{ \itemize{ \item \href{#method-CFCalendarNone-new}{\code{CFCalendarNone$new()}} \item \href{#method-CFCalendarNone-valid_days}{\code{CFCalendarNone$valid_days()}} \item \href{#method-CFCalendarNone-month_days}{\code{CFCalendarNone$month_days()}} \item \href{#method-CFCalendarNone-leap_year}{\code{CFCalendarNone$leap_year()}} \item \href{#method-CFCalendarNone-date2offset}{\code{CFCalendarNone$date2offset()}} \item \href{#method-CFCalendarNone-offset2date}{\code{CFCalendarNone$offset2date()}} \item \href{#method-CFCalendarNone-clone}{\code{CFCalendarNone$clone()}} } } \if{html}{\out{
Inherited methods
}} \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarNone-new}{}}} \subsection{Method \code{new()}}{ Create a new CF calendar. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarNone$new(nm, definition)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{nm}}{The name of the calendar. This must be "none". This argument is superfluous but maintained to be consistent with the initialization methods of the parent and sibling classes.} \item{\code{definition}}{The string that defines the units and the origin, as per the CF Metadata Conventions.} } \if{html}{\out{
}} } \subsection{Returns}{ A new instance of this class. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarNone-valid_days}{}}} \subsection{Method \code{valid_days()}}{ Indicate which of the supplied dates are valid. In this calendar only one date is valid, namely the one that the calendar is initialized with. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarNone$valid_days(ymd)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{ymd}}{\code{data.frame} with dates parsed into their parts in columns \code{year}, \code{month} and \code{day}. Any other columns are disregarded.} } \if{html}{\out{
}} } \subsection{Returns}{ Logical vector with the same length as argument \code{ymd} has rows with \code{TRUE} for valid days and \code{FALSE} for invalid days, or \code{NA} where the row in argument \code{ymd} has \code{NA} values. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarNone-month_days}{}}} \subsection{Method \code{month_days()}}{ Determine the number of days in the month of the calendar. This always returns a vector of \code{NA} values because this method has no meaning for this class. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarNone$month_days(ymd = NULL)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{ymd}}{\code{data.frame} with dates parsed into their parts in columns \code{year}, \code{month} and \code{day}. Any other columns are disregarded.} } \if{html}{\out{
}} } \subsection{Returns}{ A vector with \code{NA} values for the dates supplied as argument \code{ymd}. If no dates are supplied, a vector of \code{NA} values of length 12. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarNone-leap_year}{}}} \subsection{Method \code{leap_year()}}{ Indicate which years are leap years. This always returns a vector of \code{NA} values because this method has no meaning for this class. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarNone$leap_year(yr)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{yr}}{Integer vector of years to test.} } \if{html}{\out{
}} } \subsection{Returns}{ Vector with the same length as argument \code{yr} with \code{NA} values. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarNone-date2offset}{}}} \subsection{Method \code{date2offset()}}{ Calculate difference in days between a \code{data.frame} of time parts and the origin. The difference is always 0, given that this is not a true calendar and there can be no calculations to determine any difference. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarNone$date2offset(x)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{x}}{\code{data.frame}. Dates to calculate the difference for.} } \if{html}{\out{
}} } \subsection{Returns}{ Integer vector of a length equal to the number of rows in argument \code{x} indicating 0 for the days that equal the origin of the calendar, or \code{NA} otherwise. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarNone-offset2date}{}}} \subsection{Method \code{offset2date()}}{ Calculate date parts from day differences from the origin. This always returns 0's for the year, month and day as other values are not valid in this calendar. Hour-minute-second datetime parts are handled in \link{CFCalendar}. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarNone$offset2date(x)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{x}}{Integer vector of days to add to the origin.} } \if{html}{\out{
}} } \subsection{Returns}{ A \code{data.frame} with columns 'year', 'month' and 'day' and as many rows as the length of vector \code{x}. Rows with values of \code{x} other than 0 will return the values for the origin of the calendar nonetheless, in accordance with the CF Metadata Conventions. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarNone-clone}{}}} \subsection{Method \code{clone()}}{ The objects of this class are cloneable with this method. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarNone$clone(deep = FALSE)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{deep}}{Whether to make a deep clone.} } \if{html}{\out{
}} } } } CFtime/man/month_days.Rd0000644000176200001440000000350214762302452014635 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/api.R \name{month_days} \alias{month_days} \title{Return the number of days in a month given a certain CF calendar} \usage{ month_days(t, x = NULL) } \arguments{ \item{t}{The \code{CFTime} instance to use.} \item{x}{character. An optional vector of dates as strings with format \code{YYYY-MM-DD}. Any time part will be silently ingested.} } \value{ A vector indicating the number of days in each month for the vector of dates supplied as argument \code{x}. Invalidly specified dates will result in an \code{NA} value. If no dates are supplied, the number of days per month for the calendar as a vector of length 12. } \description{ Given a vector of dates as strings in ISO 8601 or UDUNITS format and a \link{CFTime} object, this function will return a vector of the same length as the dates, indicating the number of days in the month according to the calendar specification. If no vector of days is supplied, the function will return an integer vector of length 12 with the number of days for each month of the calendar (disregarding the leap day for \code{standard} and \code{julian} calendars). } \examples{ dates <- c("2021-11-27", "2021-12-10", "2022-01-14", "2022-02-18") t <- CFtime("days since 1850-01-01", "standard") month_days(t, dates) t <- CFtime("days since 1850-01-01", "360_day") month_days(t, dates) t <- CFtime("days since 1850-01-01", "all_leap") month_days(t, dates) month_days(t) } \seealso{ When working with factors generated by \code{\link[=CFfactor]{CFfactor()}}, it is usually better to use \code{\link[=CFfactor_units]{CFfactor_units()}} as that will consider leap days for non-era factors. \code{\link[=CFfactor_units]{CFfactor_units()}} can also work with other time periods and calendar units, such as "hours per month", or "days per season". } CFtime/man/CFCalendar.Rd0000644000176200001440000002537715076706342014435 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/CFCalendar.R \docType{class} \name{CFCalendar} \alias{CFCalendar} \title{Basic CF calendar} \description{ This class represents a basic CF calendar. It should not be instantiated directly; instead, use one of the descendant classes. This internal class stores the information to represent date and time values using the CF conventions. An instance is created by the exported \link{CFTime} class, which also exposes the relevant properties of this class. The following calendars are supported: \itemize{ \item \code{\link[=CFCalendarStandard]{gregorian\\standard}}, the international standard calendar for civil use. \item \code{\link[=CFCalendarProleptic]{proleptic_gregorian}}, the standard calendar but extending before 1582-10-15 when the Gregorian calendar was adopted. \item \code{\link[=CFCalendarTAI]{tai}}, International Atomic Time clock with dates expressed using the Gregorian calendar. \item \code{\link[=CFCalendarUTC]{utc}}, Coordinated Universal Time clock with dates expressed using the Gregorian calendar. \item \code{\link[=CFCalendarJulian]{julian}}, every fourth year is a leap year. \item \code{\link[=CFCalendar365]{noleap\\365_day}}, all years have 365 days. \item \code{\link[=CFCalendar366]{all_leap\\366_day}}, all years have 366 days. \item \code{\link[=CFCalendar360]{360_day}}, all years have 360 days, divided over 12 months of 30 days. } } \references{ https://cfconventions.org/Data/cf-conventions/cf-conventions-1.12/cf-conventions.html#calendar } \section{Active bindings}{ \if{html}{\out{
}} \describe{ \item{\code{name}}{(read-only) Name of the calendar, as per the CF Metadata Conventions.} \item{\code{definition}}{(read-only) The string that defines the units and the origin, as per the CF Metadata Conventions.} \item{\code{unit}}{(read-only) The numeric id of the unit of the calendar.} \item{\code{prefix_id}}{(read-only) The index value of the prefix of the time unit. If the unit does not have a prefix, returns the value 0L.} \item{\code{origin}}{(read-only) \code{data.frame} with fields for the origin of the calendar.} \item{\code{origin_date}}{(read-only) Character string with the date of the calendar.} \item{\code{origin_time}}{(read-only) Character string with the time of the calendar.} \item{\code{timezone}}{(read-only) Character string with the time zone of the origin of the calendar.} } \if{html}{\out{
}} } \section{Methods}{ \subsection{Public methods}{ \itemize{ \item \href{#method-CFCalendar-new}{\code{CFCalendar$new()}} \item \href{#method-CFCalendar-print}{\code{CFCalendar$print()}} \item \href{#method-CFCalendar-valid_days}{\code{CFCalendar$valid_days()}} \item \href{#method-CFCalendar-add_day}{\code{CFCalendar$add_day()}} \item \href{#method-CFCalendar-POSIX_compatible}{\code{CFCalendar$POSIX_compatible()}} \item \href{#method-CFCalendar-is_compatible}{\code{CFCalendar$is_compatible()}} \item \href{#method-CFCalendar-is_equivalent}{\code{CFCalendar$is_equivalent()}} \item \href{#method-CFCalendar-parse}{\code{CFCalendar$parse()}} \item \href{#method-CFCalendar-offsets2time}{\code{CFCalendar$offsets2time()}} \item \href{#method-CFCalendar-clone}{\code{CFCalendar$clone()}} } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar-new}{}}} \subsection{Method \code{new()}}{ Create a new CF calendar. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar$new(nm, definition)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{nm}}{The name of the calendar. This must follow the CF Metadata Conventions.} \item{\code{definition}}{The string that defines the units and the origin, as per the CF Metadata Conventions.} } \if{html}{\out{
}} } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar-print}{}}} \subsection{Method \code{print()}}{ Print information about the calendar to the console. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar$print(...)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{...}}{Ignored.} } \if{html}{\out{
}} } \subsection{Returns}{ \code{self}, invisibly. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar-valid_days}{}}} \subsection{Method \code{valid_days()}}{ Indicate which of the supplied dates are valid. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar$valid_days(ymd)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{ymd}}{\code{data.frame} with dates parsed into their parts in columns \code{year}, \code{month} and \code{day}. Any other columns are disregarded.} } \if{html}{\out{
}} } \subsection{Returns}{ \code{NULL}. A warning will be generated to the effect that a descendant class should be used for this method. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar-add_day}{}}} \subsection{Method \code{add_day()}}{ Add a day to the supplied dates. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar$add_day(ymd)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{ymd}}{\code{data.frame} with dates parsed into their parts in columns \code{year}, \code{month} and \code{day}. Any other columns are disregarded.} } \if{html}{\out{
}} } \subsection{Returns}{ A \code{data.frame} like argument \code{ymd} but with a day added for every row. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar-POSIX_compatible}{}}} \subsection{Method \code{POSIX_compatible()}}{ Indicate if the time series described using this calendar can be safely converted to a standard date-time type (\code{POSIXct}, \code{POSIXlt}, \code{Date}). Only the 'standard' calendar and the 'proleptic_gregorian' calendar when all dates in the time series are more recent than 1582-10-15 (inclusive) can be safely converted, so this method returns \code{FALSE} by default to cover the majority of cases. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar$POSIX_compatible(offsets)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{offsets}}{The offsets from the CFtime instance.} } \if{html}{\out{
}} } \subsection{Returns}{ \code{FALSE} by default. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar-is_compatible}{}}} \subsection{Method \code{is_compatible()}}{ This method tests if the \code{CFCalendar} instance in argument \code{cal} is compatible with \code{self}, meaning that they are of the same class and have the same unit and prefix. Calendars "standard", and "gregorian" are compatible, as are the pairs of "365_day" and "no_leap", and "366_day" and "all_leap". \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar$is_compatible(cal)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{cal}}{Instance of a descendant of the \code{CFCalendar} class.} } \if{html}{\out{
}} } \subsection{Returns}{ \code{TRUE} if the instance in argument \code{cal} is compatible with \code{self}, \code{FALSE} otherwise. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar-is_equivalent}{}}} \subsection{Method \code{is_equivalent()}}{ This method tests if the \code{CFCalendar} instance in argument \code{cal} is equivalent to \code{self}, meaning that they are of the same class, have the same unit and prefix, and equivalent origins. Calendars "standard", and "gregorian" are equivalent, as are the pairs of "365_day" and "no_leap", and "366_day" and "all_leap". Note that the origins need not be identical, but their parsed values have to be. "2000-01" is parsed the same as "2000-01-01 00:00:00", for instance. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar$is_equivalent(cal)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{cal}}{Instance of a descendant of the \code{CFCalendar} class.} } \if{html}{\out{
}} } \subsection{Returns}{ \code{TRUE} if the instance in argument \code{cal} is equivalent to \code{self}, \code{FALSE} otherwise. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar-parse}{}}} \subsection{Method \code{parse()}}{ Parsing a vector of date-time character strings into parts. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar$parse(d)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{d}}{character. A character vector of date-times.} } \if{html}{\out{
}} } \subsection{Returns}{ A \code{data.frame} with columns year, month, day, hour, minute, second, time zone, and offset. Invalid input data will appear as \code{NA}. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar-offsets2time}{}}} \subsection{Method \code{offsets2time()}}{ Decompose a vector of offsets, in units of the calendar, to their timestamp values. This adds a specified amount of time to the origin of a \code{CFTime} object. This method may introduce inaccuracies where the calendar unit is "months" or "years", due to the ambiguous definition of these units. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar$offsets2time(offsets = NULL)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{offsets}}{Vector of numeric offsets to add to the origin of the calendar.} } \if{html}{\out{
}} } \subsection{Returns}{ A \code{data.frame} with columns for the timestamp elements and as many rows as there are offsets. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar-clone}{}}} \subsection{Method \code{clone()}}{ The objects of this class are cloneable with this method. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar$clone(deep = FALSE)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{deep}}{Whether to make a deep clone.} } \if{html}{\out{
}} } } } CFtime/man/CFCalendarStandard.Rd0000644000176200001440000002437714776220607016116 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/CFCalendarStandard.R \docType{class} \name{CFCalendarStandard} \alias{CFCalendarStandard} \title{Standard CF calendar} \description{ This class represents a standard calendar of 365 or 366 days per year. This calendar is compatible with the standard POSIXt calendar for periods after the introduction of the Gregorian calendar, 1582-10-15 00:00:00. The calendar starts at 0001-01-01 00:00:00, e.g. the start of the Common Era. Note that this calendar, despite its name, is not the same as that used in ISO8601 or many computer systems for periods prior to the introduction of the Gregorian calendar. Use of the "proleptic_gregorian" calendar is recommended for periods before or straddling the introduction date, as that calendar is compatible with POSIXt on most OSes. } \section{Super class}{ \code{\link[CFtime:CFCalendar]{CFtime::CFCalendar}} -> \code{CFCalendarStandard} } \section{Methods}{ \subsection{Public methods}{ \itemize{ \item \href{#method-CFCalendarStandard-new}{\code{CFCalendarStandard$new()}} \item \href{#method-CFCalendarStandard-valid_days}{\code{CFCalendarStandard$valid_days()}} \item \href{#method-CFCalendarStandard-is_gregorian_date}{\code{CFCalendarStandard$is_gregorian_date()}} \item \href{#method-CFCalendarStandard-POSIX_compatible}{\code{CFCalendarStandard$POSIX_compatible()}} \item \href{#method-CFCalendarStandard-month_days}{\code{CFCalendarStandard$month_days()}} \item \href{#method-CFCalendarStandard-leap_year}{\code{CFCalendarStandard$leap_year()}} \item \href{#method-CFCalendarStandard-date2offset}{\code{CFCalendarStandard$date2offset()}} \item \href{#method-CFCalendarStandard-offset2date}{\code{CFCalendarStandard$offset2date()}} \item \href{#method-CFCalendarStandard-clone}{\code{CFCalendarStandard$clone()}} } } \if{html}{\out{
Inherited methods
}} \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarStandard-new}{}}} \subsection{Method \code{new()}}{ Create a new CF calendar. When called with the deprecated 'gregorian' it is automatically converted to the equivalent 'standard'. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarStandard$new(nm, definition)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{nm}}{The name of the calendar. This must be "standard" or "gregorian" (deprecated).} \item{\code{definition}}{The string that defines the units and the origin, as per the CF Metadata Conventions.} } \if{html}{\out{
}} } \subsection{Returns}{ A new instance of this class. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarStandard-valid_days}{}}} \subsection{Method \code{valid_days()}}{ Indicate which of the supplied dates are valid. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarStandard$valid_days(ymd)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{ymd}}{\code{data.frame} with dates parsed into their parts in columns \code{year}, \code{month} and \code{day}. Any other columns are disregarded.} } \if{html}{\out{
}} } \subsection{Returns}{ Logical vector with the same length as argument \code{ymd} has rows with \code{TRUE} for valid days and \code{FALSE} for invalid days, or \code{NA} where the row in argument \code{ymd} has \code{NA} values. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarStandard-is_gregorian_date}{}}} \subsection{Method \code{is_gregorian_date()}}{ Indicate which of the supplied dates are in the Gregorian part of the calendar, e.g. 1582-10-15 or after. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarStandard$is_gregorian_date(ymd)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{ymd}}{\code{data.frame} with dates parsed into their parts in columns \code{year}, \code{month} and \code{day}. Any other columns are disregarded.} } \if{html}{\out{
}} } \subsection{Returns}{ Logical vector with the same length as argument \code{ymd} has rows with \code{TRUE} for days in the Gregorian part of the calendar and \code{FALSE} otherwise, or \code{NA} where the row in argument \code{ymd} has \code{NA} values. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarStandard-POSIX_compatible}{}}} \subsection{Method \code{POSIX_compatible()}}{ Indicate if the time series described using this calendar can be safely converted to a standard date-time type (\code{POSIXct}, \code{POSIXlt}, \code{Date}). This is only the case if all offsets are for timestamps fall on or after the start of the Gregorian calendar, 1582-10-15 00:00:00. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarStandard$POSIX_compatible(offsets)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{offsets}}{The offsets from the CFtime instance.} } \if{html}{\out{
}} } \subsection{Returns}{ \code{TRUE}. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarStandard-month_days}{}}} \subsection{Method \code{month_days()}}{ Determine the number of days in the month of the calendar. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarStandard$month_days(ymd = NULL)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{ymd}}{\code{data.frame}, optional, with dates parsed into their parts.} } \if{html}{\out{
}} } \subsection{Returns}{ A vector indicating the number of days in each month for the dates supplied as argument \code{ymd}. If no dates are supplied, the number of days per month for the calendar as a vector of length 12, for a regular year without a leap day. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarStandard-leap_year}{}}} \subsection{Method \code{leap_year()}}{ Indicate which years are leap years. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarStandard$leap_year(yr)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{yr}}{Integer vector of years to test.} } \if{html}{\out{
}} } \subsection{Returns}{ Logical vector with the same length as argument \code{yr}. \code{NA} is returned where elements in argument \code{yr} are \code{NA}. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarStandard-date2offset}{}}} \subsection{Method \code{date2offset()}}{ Calculate difference in days between a \code{data.frame} of time parts and the origin. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarStandard$date2offset(x)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{x}}{\code{data.frame}. Dates to calculate the difference for.} } \if{html}{\out{
}} } \subsection{Returns}{ Integer vector of a length equal to the number of rows in argument \code{x} indicating the number of days between \code{x} and the origin of the calendar, or \code{NA} for rows in \code{x} with \code{NA} values. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarStandard-offset2date}{}}} \subsection{Method \code{offset2date()}}{ Calculate date parts from day differences from the origin. This only deals with days as these are impacted by the calendar. Hour-minute-second timestamp parts are handled in \link{CFCalendar}. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarStandard$offset2date(x)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{x}}{Integer vector of days to add to the origin.} } \if{html}{\out{
}} } \subsection{Returns}{ A \code{data.frame} with columns 'year', 'month' and 'day' and as many rows as the length of vector \code{x}. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendarStandard-clone}{}}} \subsection{Method \code{clone()}}{ The objects of this class are cloneable with this method. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendarStandard$clone(deep = FALSE)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{deep}}{Whether to make a deep clone.} } \if{html}{\out{
}} } } } CFtime/man/CFClimatology.Rd0000644000176200001440000001537615071222414015171 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/CFClimatology.R \docType{class} \name{CFClimatology} \alias{CFClimatology} \title{CFClimatology class} \description{ This class represents a climatological time coordinate, both its "calendar" and its "climatology" bounds values. The "calendar" portion is managed by the \link{CFTime} class, from which this class is inherited. This class implements the specific behaviour of the climatological bounds values and includes methods to query the structure of the climatological data. } \references{ https://cfconventions.org/Data/cf-conventions/cf-conventions-1.12/cf-conventions.html#climatological-statistics } \section{Super class}{ \code{\link[CFtime:CFTime]{CFtime::CFTime}} -> \code{CFClimatology} } \section{Active bindings}{ \if{html}{\out{
}} \describe{ \item{\code{period}}{(read-only) Character string indicating the period during the year over which the climatology was calculated.} \item{\code{years}}{(read-only) Vector of two integer values indicating the years over which the climatology was calculated.} \item{\code{friendlyClassName}}{Character string with class name for display purposes.} } \if{html}{\out{
}} } \section{Methods}{ \subsection{Public methods}{ \itemize{ \item \href{#method-CFClimatology-new}{\code{CFClimatology$new()}} \item \href{#method-CFClimatology-print}{\code{CFClimatology$print()}} \item \href{#method-CFClimatology-clone}{\code{CFClimatology$clone()}} } } \if{html}{\out{
Inherited methods
}} \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFClimatology-new}{}}} \subsection{Method \code{new()}}{ Create a new instance of this class. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFClimatology$new(definition, calendar = "standard", offsets, bounds)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{definition}}{Character string of the units and origin of the calendar.} \item{\code{calendar}}{Character string of the calendar to use. Must be one of the values permitted by the CF Metadata Conventions. If \code{NULL}, the "standard" calendar will be used.} \item{\code{offsets}}{Numeric or character vector. When numeric, a vector of offsets from the origin in the time series. When a character vector of length 2 or more, timestamps in ISO8601 or UDUNITS format.} \item{\code{bounds}}{The climatological bounds for the offsets. A \code{matrix} with columns for \code{offsets} and low values in the first row, high values in the second row. The bounds will oftentimes overlap or be discontinuous.} } \if{html}{\out{
}} } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFClimatology-print}{}}} \subsection{Method \code{print()}}{ Print a summary of the \code{CFClimatology} object to the console. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFClimatology$print(...)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{...}}{Ignored.} } \if{html}{\out{
}} } \subsection{Returns}{ \code{self} invisibly. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFClimatology-clone}{}}} \subsection{Method \code{clone()}}{ The objects of this class are cloneable with this method. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFClimatology$clone(deep = FALSE)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{deep}}{Whether to make a deep clone.} } \if{html}{\out{
}} } } } CFtime/man/CFfactor.Rd0000644000176200001440000001323714726276120014167 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/api.R \name{CFfactor} \alias{CFfactor} \title{Create a factor from the offsets in a \code{CFTime} instance} \usage{ CFfactor(t, period = "month", era = NULL) } \arguments{ \item{t}{An instance of the \code{CFTime} class whose offsets will be used to construct the factor.} \item{period}{character. A character string with one of the values "year", "season", "quarter", "month" (the default), "dekad" or "day".} \item{era}{numeric or list, optional. Vector of years for which to construct the factor, or a list whose elements are each a vector of years. If \code{era} is not specified, the factor will use the entire time series for the factor.} } \value{ If \code{era} is a single vector or not specified, a factor with a length equal to the number of offsets in \code{t}. If \code{era} is a list, a list with the same number of elements and names as \code{era}, each containing a factor. Elements in the factor will be set to \code{NA} for time series values outside of the range of specified years. The factor, or factors in the list, have attributes 'period', 'era' and 'CFTime'. Attribute 'period' holds the value of the \code{period} argument. Attribute 'era' indicates the number of years that are included in the era, or -1 if no \code{era} is provided. Attribute 'CFTime' holds an instance of \code{CFTime} that has the same definition as \code{t}, but with offsets corresponding to the mid-point of non-era factor levels; if the \code{era} argument is specified, attribute 'CFTime' is \code{NULL}. } \description{ With this function a factor can be generated for the time series, or a part thereof, contained in the \link{CFTime} instance. This is specifically interesting for creating factors from the date part of the time series that aggregate the time series into longer time periods (such as month) that can then be used to process daily CF data sets using, for instance, \code{tapply()}. } \details{ The factor will respect the calendar that the time series is built on. For \code{period}s longer than a day this will result in a factor where the calendar is no longer relevant (because calendars impacts days, not dekads, months, quarters, seasons or years). The factor will be generated in the order of the offsets of the \code{CFTime} instance. While typical CF-compliant data sources use ordered time series there is, however, no guarantee that the factor is ordered as multiple \code{CFTime} objects may have been merged out of order. For most processing with a factor the ordering is of no concern. If the \code{era} parameter is specified, either as a vector of years to include in the factor, or as a list of such vectors, the factor will only consider those values in the time series that fall within the list of years, inclusive of boundary values. Other values in the factor will be set to \code{NA}. The years need not be contiguous, within a single vector or among the list items, or in order. The following periods are supported by this function: \itemize{ \item \code{year}, the year of each offset is returned as "YYYY". \item \code{season}, the meteorological season of each offset is returned as "Sx", with x being 1-4, preceeded by "YYYY" if no \code{era} is specified. Note that December dates are labeled as belonging to the subsequent year, so the date "2020-12-01" yields "2021S1". This implies that for standard CMIP files having one or more full years of data the first season will have data for the first two months (January and February), while the final season will have only a single month of data (December). \item \code{quarter}, the calendar quarter of each offset is returned as "Qx", with x being 1-4, preceeded by "YYYY" if no \code{era} is specified. \item \code{month}, the month of each offset is returned as "01" to "12", preceeded by "YYYY-" if no \code{era} is specified. This is the default period. \item \code{dekad}, ten-day periods are returned as "Dxx", where xx runs from "01" to "36", preceeded by "YYYY" if no \code{era} is specified. Each month is subdivided in dekads as follows: 1- days 01 - 10; 2- days 11 - 20; 3- remainder of the month. \item \code{day}, the month and day of each offset are returned as "MM-DD", preceeded by "YYYY-" if no \code{era} is specified. } It is not possible to create a factor for a period that is shorter than the temporal resolution of the source data set from which the \code{t} argument derives. As an example, if the source data set has monthly data, a dekad or day factor cannot be created. Creating factors for other periods is not supported by this function. Factors based on the timestamp information and not dependent on the calendar can trivially be constructed from the output of the \code{\link[=as_timestamp]{as_timestamp()}} function. For non-era factors the attribute 'CFTime' of the result contains a \code{CFTime} instance that is valid for the result of applying the factor to a data set that the \code{t} argument is associated with. In other words, if \code{CFTime} instance 'At' describes the temporal dimension of data set 'A' and a factor 'Af' is generated like \code{Af <- CFfactor(At)}, then \code{Bt <- attr(Af, "CFTime")} describes the temporal dimension of the result of, say, \code{B <- apply(A, 1:2, tapply, Af, FUN)}. The 'CFTime' attribute is \code{NULL} for era factors. } \examples{ t <- CFtime("days since 1949-12-01", "360_day", 19830:54029) # Create a dekad factor for the whole time series f <- CFfactor(t, "dekad") # Create three monthly factors for early, mid and late 21st century eras ep <- CFfactor(t, era = list(early = 2021:2040, mid = 2041:2060, late = 2061:2080)) } \seealso{ \code{\link[=cut]{cut()}} creates a non-era factor for arbitrary cut points. } CFtime/man/sub-.CFTime.Rd0000644000176200001440000000211415067200261014434 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/CFtime.R \name{[.CFTime} \alias{[.CFTime} \title{Subset a \code{CFTime} instance by position in the time series} \usage{ \method{[}{CFTime}(x, i = TRUE, ...) } \arguments{ \item{x}{A \code{CFTime} instance.} \item{i}{A vector a positive integer values to indicate which values to extract from the time series by position. If negative values are passed, their positive counterparts will be excluded and then the remainder returned. Positive and negative values may not be mixed.} \item{...}{Ignored.} } \value{ A numeric vector with those values of \code{i} (or the inverse, when negative) that are valid in \code{x}. If there is at least 1 valid result, then attribute "CFTime" of the returned value contains an instance of \code{CFTime} that describes the dimension of filtering the dataset associated with \code{x} with the result of this function, excluding any \code{NA} values. } \description{ Subset a \code{CFTime} instance by position in the time series } \references{ https://github.com/R-CF/CFtime/issues/20 } CFtime/man/plus-.CFTime.Rd0000644000176200001440000000545214726114047014645 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/api.R \name{+.CFTime} \alias{+.CFTime} \alias{CFtime-merge} \title{Extend a CFTime object} \usage{ \method{+}{CFTime}(e1, e2) } \arguments{ \item{e1}{Instance of the \code{CFTime} class.} \item{e2}{Instance of the \code{CFTime} class with a calendar compatible with that of argument \code{e1}, or a numeric vector with offsets from the origin of argument \code{e1}, or a vector of \code{character} timestamps in ISO8601 or UDUNITS format.} } \value{ A \code{CFTime} object with the offsets of argument \code{e1} extended by the values from argument \code{e2}. } \description{ A \link{CFTime} instance can be extended with this operator, using values from another \code{CFTime} instance, or a vector of numeric offsets or character timestamps. If the values come from another \code{CFTime} instance, the calendars of the two instances must be compatible If the calendars of the \code{CFTime} instances are not compatible, an error is thrown. } \details{ The resulting \code{CFTime} instance will have the offsets of the original \code{CFTime} instance, appended with offsets from argument \code{e2} in the order that they are specified. If the new sequence of offsets is not monotonically increasing a warning is generated (the COARDS metadata convention requires offsets to be monotonically increasing). There is no reordering or removal of duplicates. This is because the time series are usually associated with a data set and the correspondence between the data in the files and the \code{CFTime} instance is thus preserved. When merging the data sets described by this time series, the order must be identical to the merging here. Note that when adding multiple vectors of offsets to a \code{CFTime} instance, it is more efficient to first concatenate the vectors and then do a final addition to the \code{CFTime} instance. So avoid \code{CFtime(definition, calendar, e1) + CFtime(definition, calendar, e2) + CFtime(definition, calendar, e3) + ...} but rather do \code{CFtime(definition, calendar) + c(e1, e2, e3, ...)}. It is the responsibility of the operator to ensure that the offsets of the different data sets are in reference to the same calendar. Note also that \code{RNetCDF} and \code{ncdf4} packages both return the values of the "time" dimension as a 1-dimensional array. You have to \code{dim(time_values) <- NULL} to de-class the array to a vector before adding offsets to an existing \code{CFtime} instance. Any bounds that were set will be removed. Use \code{\link[=bounds]{bounds()}} to retrieve the bounds of the individual \code{CFTime} instances and then set them again after merging the two instances. } \examples{ e1 <- CFtime("days since 1850-01-01", "gregorian", 0:364) e2 <- CFtime("days since 1850-01-01 00:00:00", "standard", 365:729) e1 + e2 } CFtime/man/CFCalendar366.Rd0000644000176200001440000001750014776220607014662 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/CFCalendar366.R \docType{class} \name{CFCalendar366} \alias{CFCalendar366} \title{366-day CF calendar} \description{ This class represents a CF calendar of 366 days per year, having leap days in every year. This calendar is not compatible with the standard POSIXt calendar. This calendar supports dates before year 1 and includes the year 0. } \section{Super class}{ \code{\link[CFtime:CFCalendar]{CFtime::CFCalendar}} -> \code{CFCalendar366} } \section{Methods}{ \subsection{Public methods}{ \itemize{ \item \href{#method-CFCalendar366-new}{\code{CFCalendar366$new()}} \item \href{#method-CFCalendar366-valid_days}{\code{CFCalendar366$valid_days()}} \item \href{#method-CFCalendar366-month_days}{\code{CFCalendar366$month_days()}} \item \href{#method-CFCalendar366-leap_year}{\code{CFCalendar366$leap_year()}} \item \href{#method-CFCalendar366-date2offset}{\code{CFCalendar366$date2offset()}} \item \href{#method-CFCalendar366-offset2date}{\code{CFCalendar366$offset2date()}} \item \href{#method-CFCalendar366-clone}{\code{CFCalendar366$clone()}} } } \if{html}{\out{
Inherited methods
}} \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar366-new}{}}} \subsection{Method \code{new()}}{ Create a new CF calendar of 366 days per year. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar366$new(nm, definition)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{nm}}{The name of the calendar. This must be "366_day" or "all_leap".} \item{\code{definition}}{The string that defines the units and the origin, as per the CF Metadata Conventions.} } \if{html}{\out{
}} } \subsection{Returns}{ A new instance of this class. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar366-valid_days}{}}} \subsection{Method \code{valid_days()}}{ Indicate which of the supplied dates are valid. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar366$valid_days(ymd)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{ymd}}{\code{data.frame} with dates parsed into their parts in columns \code{year}, \code{month} and \code{day}. Any other columns are disregarded.} } \if{html}{\out{
}} } \subsection{Returns}{ Logical vector with the same length as argument \code{ymd} has rows with \code{TRUE} for valid days and \code{FALSE} for invalid days, or \code{NA} where the row in argument \code{ymd} has \code{NA} values. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar366-month_days}{}}} \subsection{Method \code{month_days()}}{ Determine the number of days in the month of the calendar. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar366$month_days(ymd = NULL)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{ymd}}{\code{data.frame}, optional, with dates parsed into their parts.} } \if{html}{\out{
}} } \subsection{Returns}{ A vector indicating the number of days in each month for the dates supplied as argument \code{ymd}. If no dates are supplied, the number of days per month for the calendar as a vector of length 12. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar366-leap_year}{}}} \subsection{Method \code{leap_year()}}{ Indicate which years are leap years. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar366$leap_year(yr)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{yr}}{Integer vector of years to test.} } \if{html}{\out{
}} } \subsection{Returns}{ Logical vector with the same length as argument \code{yr}. Since in this calendar all years have a leap day, all values will be \code{TRUE}, or \code{NA} where argument \code{yr} is \code{NA}. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar366-date2offset}{}}} \subsection{Method \code{date2offset()}}{ Calculate difference in days between a \code{data.frame} of time parts and the origin. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar366$date2offset(x)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{x}}{\code{data.frame}. Dates to calculate the difference for.} } \if{html}{\out{
}} } \subsection{Returns}{ Integer vector of a length equal to the number of rows in argument \code{x} indicating the number of days between \code{x} and the \code{origin}, or \code{NA} for rows in \code{x} with \code{NA} values. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar366-offset2date}{}}} \subsection{Method \code{offset2date()}}{ Calculate date parts from day differences from the origin. This only deals with days as these are impacted by the calendar. Hour-minute-second timestamp parts are handled in \link{CFCalendar}. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar366$offset2date(x)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{x}}{Integer vector of days to add to the origin.} } \if{html}{\out{
}} } \subsection{Returns}{ A \code{data.frame} with columns 'year', 'month' and 'day' and as many rows as the length of vector \code{x}. } } \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CFCalendar366-clone}{}}} \subsection{Method \code{clone()}}{ The objects of this class are cloneable with this method. \subsection{Usage}{ \if{html}{\out{
}}\preformatted{CFCalendar366$clone(deep = FALSE)}\if{html}{\out{
}} } \subsection{Arguments}{ \if{html}{\out{
}} \describe{ \item{\code{deep}}{Whether to make a deep clone.} } \if{html}{\out{
}} } } } CFtime/man/parse_timestamps.Rd0000644000176200001440000000660714726276120016063 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/api.R \name{parse_timestamps} \alias{parse_timestamps} \title{Parse series of timestamps in CF format to date-time elements} \usage{ parse_timestamps(t, x) } \arguments{ \item{t}{An instance of \code{CFTime} to use when parsing the date.} \item{x}{Vector of character strings representing timestamps in ISO8601 extended or UDUNITS broken format.} } \value{ A \code{data.frame} with constituent elements of the parsed timestamps in numeric format. The columns are year, month, day, hour, minute, second (with an optional fraction), time zone (character string), and the corresponding offset value from the origin. Invalid input data will appear as \code{NA} - if this is the case, a warning message will be displayed - other missing information on input will use default values. } \description{ This function will parse a vector of timestamps in ISO8601 or UDUNITS format into a data frame with columns for the elements of the timestamp: year, month, day, hour, minute, second, time zone. Those timestamps that could not be parsed or which represent an invalid date in the indicated \code{CFtime} instance will have \code{NA} values for the elements of the offending timestamp (which will generate a warning). } \details{ The supported formats are the \emph{broken timestamp} format from the UDUNITS library and ISO8601 \emph{extended}, both with minor changes, as suggested by the CF Metadata Conventions. In general, the format is \verb{YYYY-MM-DD hh:mm:ss.sss hh:mm}. The year can be from 1 to 4 digits and is interpreted literally, so \code{79-10-24} is the day Mount Vesuvius erupted and destroyed Pompeii, not \code{1979-10-24}. The year and month are mandatory, all other fields are optional. There are defaults for all missing values, following the UDUNITS and CF Metadata Conventions. Leading zeros can be omitted in the UDUNITS format, but not in the ISO8601 format. The optional fractional part can have as many digits as the precision calls for and will be applied to the smallest specified time unit. In the result of this function, if the fraction is associated with the minute or the hour, it is converted into a regular \code{hh:mm:ss.sss} format, i.e. any fraction in the result is always associated with the second, rounded down to milli-second accuracy. The separator between the date and the time can be a single whitespace character or a \code{T}. The time zone is optional and should have at least the hour or \code{Z} if present, the minute is optional. The time zone hour can have an optional sign. In the UDUNITS format the separator between the time and the time zone must be a single whitespace character, in ISO8601 there is no separation between the time and the timezone. Time zone names are not supported (as neither UDUNITS nor ISO8601 support them) and will cause parsing to fail when supplied, with one exception: the designator "UTC" is silently dropped (i.e. interpreted as "00:00"). Currently only the extended formats (with separators between the elements) are supported. The vector of timestamps may have any combination of ISO8601 and UDUNITS formats. } \examples{ t <- CFtime("days since 0001-01-01", "proleptic_gregorian") # This will have `NA`s on output and generate a warning timestamps <- c("2012-01-01T12:21:34Z", "12-1-23", "today", "2022-08-16T11:07:34.45-10", "2022-08-16 10.5+04") parse_timestamps(t, timestamps) } CFtime/man/equals-.CFTime.Rd0000644000176200001440000000137514726114047015154 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/api.R \name{==.CFTime} \alias{==.CFTime} \alias{CFtime-equivalent} \title{Equivalence of CFTime objects} \usage{ \method{==}{CFTime}(e1, e2) } \arguments{ \item{e1, e2}{Instances of the \code{CFTime} class.} } \value{ \code{TRUE} if the \code{CFTime} objects are equivalent, \code{FALSE} otherwise. } \description{ This operator can be used to test if two \link{CFTime} objects represent the same CF-convention time coordinates. Two \code{CFTime} objects are considered equivalent if they have an equivalent calendar and the same offsets. } \examples{ e1 <- CFtime("days since 1850-01-01", "gregorian", 0:364) e2 <- CFtime("days since 1850-01-01 00:00:00", "standard", 0:364) e1 == e2 } CFtime/man/format.CFTime.Rd0000644000176200001440000000375115062525356015100 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/api.R \name{format.CFTime} \alias{format.CFTime} \title{Format the timestamps in the \code{CFTime} instance} \usage{ \method{format}{CFTime}(x, format = "", tz = "", usetz = FALSE, ...) } \arguments{ \item{x}{The \code{CFTime} instance whose timestamps will be formatted.} \item{format}{A character string. The default for the format methods is "\%Y-\%m-\%dT\%H:\%M:\%S" if any timestamp has a time component which is not midnight, and "\%Y-\%m-\%d" otherwise. The only supported specifiers are \verb{bBdeFhHImMpRSTYz\%}. Modifiers \code{E} and \code{O} are silently ignored. Other specifiers, including their percent sign, are copied to the output as if they were adorning text.} \item{tz}{Ignored.} \item{usetz}{Logical. Should the time zone offset be appended to the output? This is always in numerical form, i.e. "-0800", from UTC.} \item{...}{Ignored.} } \description{ The formatting is largely oblivious to locale. The reason for this is that certain dates in certain calendars are not POSIX-compliant and the system functions necessary for locale information thus do not work consistently. The main exception to this is the (abbreviated) names of months (\code{bB}), which could be useful for pretty printing in the local language. For separators and other locale-specific adornments, use local knowledge instead of depending on system locale settings; e.g. specify \verb{\%m/\%d/\%Y} instead of \verb{\%D}. } \details{ Week information, including weekday names, is not supported at all as a "week" is not defined for non-standard CF calendars and not generally useful for climate projection data. If you are working with observed data and want to get pretty week formats, use the \code{\link[=as_timestamp]{as_timestamp()}} method to generate \code{POSIXct} timestamps (observed data generally uses a "standard" calendar) and then use the \code{\link[base:format]{base::format()}} function which supports the full set of specifiers. } CFtime/man/length.CFTime.Rd0000644000176200001440000000105114725654542015065 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/api.R \name{length.CFTime} \alias{length.CFTime} \title{The length of the offsets contained in the \code{CFTime} instance.} \usage{ \method{length}{CFTime}(x) } \arguments{ \item{x}{The \code{CFTime} instance whose length will be returned} } \value{ The number of offsets in the specified \code{CFTime} instance. } \description{ The length of the offsets contained in the \code{CFTime} instance. } \examples{ t <- CFtime("days since 1850-01-01", "julian", 0:364) length(t) } CFtime/man/cut.CFTime.Rd0000644000176200001440000000464414776220607014407 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/api.R \name{cut.CFTime} \alias{cut.CFTime} \alias{cut} \title{Create a factor for a \code{CFTime} instance} \usage{ \method{cut}{CFTime}(x, breaks, ...) } \arguments{ \item{x}{An instance of \code{CFTime}.} \item{breaks}{A character string of a factor period (see \code{\link[=CFfactor]{CFfactor()}} for a description), or a character vector of timestamps that conform to the calendar of \code{x}, with a length of at least 2. Timestamps must be given in ISO8601 format, e.g. "2024-04-10 21:31:43".} \item{...}{Ignored.} } \value{ A factor with levels according to the \code{breaks} argument, with attributes 'period', 'era' and 'CFTime'. When \code{breaks} is a factor period, attribute 'period' has that value, otherwise it is '"day"'. When \code{breaks} is a character vector of timestamps, attribute 'CFTime' holds an instance of \code{CFTime} that has the same definition as \code{x}, but with (ordered) offsets generated from the \code{breaks}. Attribute 'era' is always -1. } \description{ Method for \code{\link[base:cut]{base::cut()}} applied to \link{CFTime} objects. } \details{ When \code{breaks} is one of \verb{"year", "season", "quarter", "month", "dekad", "day"} a factor is generated like by \code{\link[=CFfactor]{CFfactor()}}. When \code{breaks} is a vector of character timestamps a factor is produced with a level for every interval between timestamps. The last timestamp, therefore, is only used to close the interval started by the pen-ultimate timestamp - use a distant timestamp (e.g. \code{range(x)[2]}) to ensure that all offsets to the end of the \code{CFTime} time series are included, if so desired. The last timestamp will become the upper bound in the \code{CFTime} instance that is returned as an attribute to this function so a sensible value for the last timestamp is advisable. This method works similar to \code{\link[base:cut.POSIXt]{base::cut.POSIXt()}} but there are some differences in the arguments: for \code{breaks} the set of options is different and no preceding integer is allowed, \code{labels} are always assigned using values of \code{breaks}, and the interval is always left-closed. } \examples{ x <- CFtime("days since 2021-01-01", "365_day", 0:729) breaks <- c("2022-02-01", "2021-12-01", "2023-01-01") cut(x, breaks) } \seealso{ \code{\link[=CFfactor]{CFfactor()}} produces a factor for several fixed periods, including for eras. } CFtime/DESCRIPTION0000644000176200001440000000343115105125134013125 0ustar liggesusersPackage: CFtime Title: Using CF-Compliant Calendars with Climate Projection Data Version: 1.7.2 Authors@R: person("Patrick", "Van Laake", , "patrick@vanlaake.net", role = c("aut", "cre", "cph")) Description: Support for all calendars as specified in the Climate and Forecast (CF) Metadata Conventions for climate and forecasting data. The CF Metadata Conventions is widely used for distributing files with climate observations or projections, including the Coupled Model Intercomparison Project (CMIP) data used by climate change scientists and the Intergovernmental Panel on Climate Change (IPCC). This package specifically allows the user to work with any of the CF-compliant calendars (many of which are not compliant with POSIXt). The CF time coordinate is formally defined in the CF Metadata Conventions document available at . License: MIT + file LICENSE Encoding: UTF-8 RoxygenNote: 7.3.3 Imports: R6 Suggests: rmarkdown, testthat (>= 3.0.0), stringr URL: https://r-cf.github.io/CFtime/, https://github.com/R-CF/CFtime BugReports: https://github.com/R-CF/CFtime/issues Config/testthat/edition: 3 Collate: 'api.R' 'CFCalendar.R' 'CFCalendar360.R' 'CFCalendar365.R' 'CFCalendar366.R' 'CFCalendarJulian.R' 'CFCalendarNone.R' 'CFCalendarProleptic.R' 'CFCalendarStandard.R' 'CFCalendarTAI.R' 'CFCalendarUTC.R' 'CFClimatology.R' 'CFtime-package.R' 'CFtime.R' 'helpers.R' 'zzz.R' Config/Needs/website: rmarkdown NeedsCompilation: no Packaged: 2025-11-12 13:22:45 UTC; patrickvanlaake Author: Patrick Van Laake [aut, cre, cph] Maintainer: Patrick Van Laake Repository: CRAN Date/Publication: 2025-11-12 15:40:12 UTC