ggthemes/0000755000176200001440000000000015113074034012053 5ustar liggesusersggthemes/tests/0000755000176200001440000000000015112461554013223 5ustar liggesusersggthemes/tests/testthat/0000755000176200001440000000000015113074034015055 5ustar liggesusersggthemes/tests/testthat/test-few.R0000644000176200001440000000312215112366564016747 0ustar liggesuserslibrary("ggplot2") test_that("few_shape_pal works", { out <- few_shape_pal() expect_type(out, "closure") expect_true(!is.null(attr(out, "max_n"))) pal0 <- out(0) expect_identical(length(pal0), 0L) pal3 <- out(3) expect_identical(length(pal3), 3L) expect_warning(out(10)) }) test_that("few_shape_pal works", { out <- scale_shape_few() expect_s3_class(out, c("ScaleDiscrete", "Scale", "ggproto")) }) test_that("few_pal runs", { p <- few_pal("Medium") expect_type(p, "closure") expect_type(attr(p, "max_n"), "integer") out <- p(5) expect_type(out, "character") expect_equal(length(out), 5L) # should use the first accent color expect_equal( out[[1]], ggthemes::ggthemes_data$few$colors$Medium$value[[2]] ) expect_warning(p(10)) }) test_that("few_pal works with n = 1", { out <- few_pal("Medium")(1) expect_equal(out, ggthemes::ggthemes_data$few$colors$Medium$value[[1]]) }) test_that("few_pal raises error with bad palette", { expect_error(few_pal("Foo")) }) test_that("scale_colour_few works", { expect_s3_class(scale_colour_few(), "ScaleDiscrete") }) test_that("scale_color_few works", { expect_equal_scale(scale_color_few(), scale_colour_few()) }) test_that("scale_fill_few works", { expect_s3_class(scale_fill_few(), "ScaleDiscrete") }) test_that("theme_few works", { expect_s3_class(theme_few(), "theme") }) test_that("theme_few draws correctly", { df <- data.frame(x = 1:3, y = 1:3, z = c("a", "b", "a"), a = 1) plot <- ggplot(df, aes(x, y, colour = z)) + geom_point() + facet_wrap(~a) expect_doppelganger("theme_few", plot) }) ggthemes/tests/testthat/test-colorblind.R0000644000176200001440000000074215112676746020330 0ustar liggesuserstest_that("colorblind_pal works", { p <- colorblind_pal() expect_type(p, "closure") expect_hexcolor(p(4)) expect_type(attr(p, "max_n"), "integer") }) test_that("colorblind_pal raises warning with to large n", { expect_warning(colorblind_pal()(20)) }) test_that("scale_colour_colourblind works", { expect_s3_class(scale_colour_colourblind(), "ScaleDiscrete") }) test_that("scale_fill_colorblind works", { expect_s3_class(scale_fill_colorblind(), "ScaleDiscrete") }) ggthemes/tests/testthat/test-banking.R0000644000176200001440000000123215112366564017577 0ustar liggesuserstest_that("bank_slopes runs", { x <- 1:5 y <- runif(length(x)) out <- bank_slopes(x, y) expect_equal(length(out), 1L) expect_type(out, "double") }) test_that("bank_slopes with method=\"as\" runs", { x <- 1:5 y <- runif(length(x)) out <- bank_slopes(x, y, method = "as") expect_equal(length(out), 1L) expect_type(out, "double") }) test_that("bank_slopes with invalid method throws error", { expect_error(bank_slopes(1:5, 1:5, method = "aor")) }) test_that("bank_slopes works with cull = TRUE", { x <- c(1, 1, 2) y <- runif(length(x)) out <- bank_slopes(x, y, cull = TRUE) expect_equal(length(out), 1L) expect_type(out, "double") }) ggthemes/tests/testthat/test-shapes.R0000644000176200001440000000312515112461554017447 0ustar liggesuserstest_that("circlefill_pal works", { expect_snapshot({ pal <- circlefill_shape_pal() expect_type(pal, "closure") expect_equal(attr(pal, "max_n"), 5L) n <- 4L values <- pal(n) expect_type(values, "integer") expect_equal(length(values), n) }) }) test_that("scale_shape_circlefill works", { expect_snapshot({ expect_s3_class(scale_shape_circlefill(), "ScaleDiscrete") }) }) test_that("tremmel_shape_pal works", { pal <- tremmel_shape_pal() expect_type(pal, "closure") expect_equal(attr(pal, "max_n"), 3L) n <- 3L values <- pal(n) expect_type(values, "integer") expect_equal(length(values), n) }) test_that("tremmel_shape_pal works for all values", { for (i in 1:3L) { expect_equal(length(tremmel_shape_pal()(i)), i) expect_equal(length(tremmel_shape_pal(alt = TRUE)(i)), i) expect_equal(length(tremmel_shape_pal(overlap = TRUE)(i)), i) } }) test_that("scale_shape_tremmel works", { expect_s3_class(scale_shape_tremmel(), "ScaleDiscrete") }) test_that("cleveland_shape_pal works", { pal <- cleveland_shape_pal() expect_type(pal, "closure") expect_equal(attr(pal, "max_n"), 4) n <- 3 vals <- pal(n) expect_equal(length(vals), n) }) test_that("cleveland_shape_pal works with overlap = FALSE", { pal <- cleveland_shape_pal(overlap = FALSE) expect_type(pal, "closure") expect_equal(attr(pal, "max_n"), 5) n <- 3 vals <- pal(n) expect_equal(length(vals), n) expect_type(vals, "integer") expect_true(all(vals < 0)) }) test_that("scale_shape_cleveland works", { expect_s3_class(scale_shape_cleveland(), "ScaleDiscrete") }) ggthemes/tests/testthat/test-show.R0000644000176200001440000000062215112366564017150 0ustar liggesuserstest_that("show_shapes works", { # creates plot using base plotting system, so just run code --- any # errors / warnings will be caught. x <- 1:10 expect_equal(show_shapes(x), x) }) test_that("show_linetypes works", { x <- 1:5 expect_equal(show_linetypes(x), x) }) test_that("show_linetypes works with labels = FALSE", { x <- 1:5 expect_equal(show_linetypes(x, labels = FALSE), x) }) ggthemes/tests/testthat/test-excel.R0000644000176200001440000000270515112366564017274 0ustar liggesuserstest_that("excel_clasic_pal works", { pal <- excel_pal() n <- 5L values <- pal(n) expect_type(values, "character") expect_equal(length(values), n) }) test_that("excel_clasic_pal with line = TRUE works", { pal <- excel_pal(line = TRUE) n <- 5L values <- pal(n) expect_type(values, "character") expect_equal(length(values), n) }) test_that("calc_shape_pal raises warning for large n", { expect_warning(excel_pal()(8)) }) test_that("excel_new_pal works", { pal <- excel_new_pal() n <- 5L vals <- pal(n) expect_type(vals, "character") expect_equal(length(vals), n) }) test_that("excel_new_pal raises error for bad n", { expect_warning(excel_new_pal()(7)) }) test_that("theme_excel works", { expect_s3_class(theme_excel(), "theme") }) test_that("excel_new_pal raises error with bad theme name", { expect_error(excel_new_pal("adfaasdfa"), regexp = "`theme` must be one of") }) test_that("scale_fill_excel works", { expect_s3_class(scale_fill_excel(), "ScaleDiscrete") }) test_that("scale_colour_excel works", { expect_s3_class(scale_colour_excel(), "ScaleDiscrete") }) test_that("scale_colour_excel works", { expect_s3_class(scale_fill_excel_new(), "ScaleDiscrete") }) test_that("scale_fill_excel works", { expect_s3_class(scale_colour_excel_new(), "ScaleDiscrete") }) test_that("theme_excel with horizontal = FALSE works", { thm <- theme_excel(horizontal = FALSE) expect_equal(thm$panel.grid.major.y, element_blank()) }) ggthemes/tests/testthat/test-geom-rangeframe.R0000644000176200001440000000013615112366564021224 0ustar liggesuserstest_that("geom_rangeframe works", { expect_s3_class(geom_rangeframe(), "LayerInstance") }) ggthemes/tests/testthat/test-stat_fivenumber.R0000644000176200001440000000013615112366564021365 0ustar liggesuserstest_that("stat_fivenumber works", { expect_s3_class(stat_fivenumber(), "LayerInstance") }) ggthemes/tests/testthat/test-pander.R0000644000176200001440000000162715112366564017447 0ustar liggesuserstest_that("scale_colour_pander works", { expect_s3_class(scale_colour_pander(), "ScaleDiscrete") }) test_that("scale_fill_pander works", { expect_s3_class(scale_fill_pander(), "ScaleDiscrete") }) test_that("palette_pander works", { colors <- palette_pander(5) expect_hexcolor(colors) }) test_that("palette_pander random_order=TRUE works", { colors <- palette_pander(5, random_order = TRUE) expect_hexcolor(colors) }) test_that("theme_pander works", { expect_s3_class(theme_pander(), "theme") }) test_that("theme_pander works with gm = FALSE", { thm <- theme_pander(gM = FALSE) expect_s3_class(thm, "theme") expect_equal(thm$panel.grid, element_blank()) }) test_that("theme_pander warns about ff argument", { expect_warning(theme_pander(ff = ""), regexp = "deprecated") }) test_that("theme_pander warns about fs argument", { expect_warning(theme_pander(fs = 1), regexp = "deprecated") }) ggthemes/tests/testthat/test-solarized.R0000644000176200001440000000146615112366564020173 0ustar liggesuserstest_that("theme_solarized_works", { expect_s3_class(theme_solarized(), "theme") expect_s3_class(theme_solarized(light = FALSE), "theme") }) test_that("theme_solarized_2_works", { expect_s3_class(theme_solarized_2(), "theme") expect_s3_class(theme_solarized_2(light = FALSE), "theme") }) test_that("scale_colour_solarized works", { expect_s3_class(scale_colour_solarized(), "ScaleDiscrete") }) test_that("scale_color_solarized works", { expect_equal_scale(scale_colour_solarized(), scale_color_solarized()) }) test_that("scale_fill_solarized works", { expect_s3_class(scale_fill_solarized(), "ScaleDiscrete") }) test_that("solarized_pal works", { pal <- solarized_pal() expect_type(pal, "closure") n <- 5L values <- pal(n) expect_type(values, "character") expect_equal(length(values), n) }) ggthemes/tests/testthat/test-tufteboxplot.R0000644000176200001440000000014215112366564020724 0ustar liggesuserstest_that("geom_tufteboxplot works", { expect_s3_class(geom_tufteboxplot(), "LayerInstance") }) ggthemes/tests/testthat/test-theme_map.R0000644000176200001440000000021515112366564020125 0ustar liggesuserstest_that("theme_map works", { thm <- theme_map() expect_s3_class(thm, "theme") expect_equal(thm$panel.background, element_blank()) }) ggthemes/tests/testthat/test-canva.R0000644000176200001440000000133415112366564017261 0ustar liggesuserstest_that("canva_pal works", { p <- canva_pal() expect_type(p, "closure") expect_hexcolor(p(4)) }) test_that("canva_pal works with alt palette", { expect_hexcolor(canva_pal("Pop art")(4)) }) test_that("canva_pal raises warning with to large n", { expect_warning(canva_pal()(10)) }) test_that("canva_pal raises error with invalid palette", { expect_error(canva_pal("adsffafd"), regexp = "not a valid name") }) test_that("scale_colour_canva works", { expect_s3_class(scale_colour_canva(), "ScaleDiscrete") }) test_that("scale_color_canva works", { expect_equal_scale(scale_color_canva(), scale_colour_canva()) }) test_that("scale_colour_canva works", { expect_s3_class(scale_fill_canva(), "ScaleDiscrete") }) ggthemes/tests/testthat/test-wsj_pal.R0000644000176200001440000000114015112366564017623 0ustar liggesuserstest_that("theme_wsj works", { expect_s3_class(theme_wsj(), "theme") }) test_that("wsj_pal works", { p <- wsj_pal() expect_type(p, "closure") expect_type(attr(p, "max_n"), "integer") expect_hexcolor(p(3)) }) test_that("theme_wsj works", { expect_s3_class(theme_wsj(), "theme") }) test_that("theme_wsj raises error with invalid palette", { expect_error(wsj_pal("asdgasa"), regexp = "valid palette") }) test_that("scale_colour_wsj works", { expect_s3_class(scale_colour_wsj(), "ScaleDiscrete") }) test_that("scale_fill_wsj works", { expect_s3_class(scale_fill_wsj(), "ScaleDiscrete") }) ggthemes/tests/testthat/test-tableau.R0000644000176200001440000000653015112461554017604 0ustar liggesuserstest_that("tableau_color_pal works", { pal <- tableau_color_pal() expect_type(pal, "closure") expect_type(attr(pal, "max_n"), "integer") n <- 3 vals <- pal(n) expect_type(vals, "character") expect_equal(length(vals), n) }) test_that("tableau_color_pal direction = -1 works", { n <- 4L expect_true(all(tableau_color_pal(direction = -1)(n) == rev(tableau_color_pal()(n)))) }) test_that("tableau_color_pal works with diverging palette", { n <- 3L pal <- tableau_color_pal("Orange-Blue Diverging", type = "ordered-diverging")(n) expect_type(pal, "character") expect_equal(length(pal), n) }) test_that("tableau_color_pal raises error with invalid palette", { expect_error(tableau_color_pal("dsaga")) }) test_that("tableau_shape_pal raises error with bad palette", { expect_error(tableau_shape_pal(palette = "gender")) }) test_that("tableau_shape_pal works", { n <- 3 pal <- tableau_shape_pal()(n) expect_type(pal, "integer") expect_type(attr(tableau_shape_pal(), "max_n"), "integer") # all unicode expect_true(all(pal < 0)) expect_equal(length(pal), n) }) test_that("scale_shape_tableau works", { expect_s3_class(scale_shape_tableau(), "ScaleDiscrete") }) test_that("scale_colour_tableau works", { expect_s3_class(scale_colour_tableau(), "ScaleDiscrete") }) test_that("scale_colour_tableau works with diverging scales", { expect_s3_class( scale_colour_tableau( type = "ordered-diverging", palette = "Orange-Blue Diverging" ), "ScaleDiscrete" ) }) test_that("scale_colour_tableau works with sequential scales", { expect_s3_class( scale_colour_tableau( type = "ordered-sequential", palette = "Blue-Green Sequential" ), "ScaleDiscrete" ) }) test_that("scale_fill_tableau works", { expect_s3_class(scale_fill_tableau(), "ScaleDiscrete") }) test_that("scale_fill_tableau works with diverging scales", { expect_s3_class( scale_fill_tableau( type = "ordered-diverging", palette = "Orange-Blue Diverging" ), "ScaleDiscrete" ) }) test_that("scale_fill_tableau works with sequential scales", { expect_s3_class( scale_fill_tableau( type = "ordered-sequential", palette = "Blue-Green Sequential" ), "ScaleDiscrete" ) }) test_that("tableau_gradient_pal works", { p <- tableau_gradient_pal() expect_type(p, "closure") expect_hexcolor(p(seq(0, 1, by = 0.1))) }) test_that("tableau_seq_gradient_pal works", { p <- tableau_seq_gradient_pal() expect_type(p, "closure") expect_hexcolor(p(seq(0, 1, by = 0.1))) }) test_that("tableau_div_gradient_pal works", { p <- tableau_seq_gradient_pal() expect_type(p, "closure") expect_hexcolor(p(seq(0, 1, by = 0.1))) }) test_that("scale_colour_gradient_tableau works", { expect_s3_class(scale_colour_gradient_tableau(), "ScaleContinuous") }) test_that("scale_fill_gradient_tableau works", { expect_s3_class(scale_fill_gradient_tableau(), "ScaleContinuous") }) test_that("scale_colour_gradient_tableau works", { expect_s3_class(scale_colour_gradient2_tableau(), "ScaleContinuous") }) test_that("scale_fill_gradient_tableau works", { expect_s3_class(scale_fill_gradient2_tableau(), "ScaleContinuous") }) test_that("classic colors are in the correct order", { # Issue #96 pal <- tableau_color_pal("Classic 20")(20) expect_equal(pal[[1]], "#1f77b4") expect_equal(pal[[20]], "#9edae5") }) ggthemes/tests/testthat/helper-utils.R0000644000176200001440000000111615112366564017627 0ustar liggesuserslibrary("testthat") is_hexcolor <- function(x) { pattern <- stringr::regex("^#[a-f0-9]{6}$", ignore_case = TRUE) out <- stringr::str_detect(x, pattern) out[is.na(out)] <- FALSE out } expect_hexcolor <- function(object) { # capture object and label act <- quasi_label(rlang::enquo(object)) valid <- is_hexcolor(act$val) expect( all(valid), glue::glue("Not all elements of {act$lab} are hex colors.") ) invisible(act$val) } expect_equal_scale <- function(x, y, ...) { x <- as.list(x) y <- as.list(y) x$call <- y$call <- NULL expect_equal(x, y, ...) } ggthemes/tests/testthat/test-igray.R0000644000176200001440000000021615112366564017302 0ustar liggesuserstest_that("theme_igray works", { thm <- theme_igray() expect_s3_class(thm, "theme") expect_equal(thm$plot.background$fill, "gray90") }) ggthemes/tests/testthat/test-economist.R0000644000176200001440000000356515112461554020174 0ustar liggesuserstest_that("economist_pal fill=FALSE works", { p <- economist_pal(fill = FALSE) expect_type(p, "closure") for (i in 1:9) { expect_hexcolor(p(i)) } }) test_that("economist_pal fill=TRUE works", { p <- economist_pal(fill = TRUE) expect_type(p, "closure") for (i in 1:9) { expect_hexcolor(p(i)) } }) test_that("economist_pal raises warning with large number", { expect_warning(economist_pal()(10)) }) test_that("scale_colour_economist equals scale_color_economist", { expect_equal_scale(scale_color_economist(), scale_colour_economist()) }) test_that("scale_colour_economist works", { expect_s3_class(scale_color_economist(), "ScaleDiscrete") }) test_that("scale_fill_economist works", { expect_s3_class(scale_fill_economist(), "ScaleDiscrete") }) test_that("theme economist works", { expect_s3_class(theme_economist(), "theme") }) test_that("theme economist with horizontal=FALSE works", { thm <- theme_economist(horizontal = FALSE) expect_s3_class(thm, "theme") expect_equal(thm$panel.grid.major.y, element_blank()) }) test_that("theme economist with dark panel works", { thm <- theme_economist(dkpanel = TRUE) expect_s3_class(thm, "theme") expect_equal( thm$strip.background$fill, purrr::pluck( dplyr::filter( ggthemes_data$economist$bg, name == "dark blue-gray" ), "value" ) ) }) test_that("theme economist_white works", { thm <- theme_economist_white(gray_bg = FALSE) expect_equal(thm$panel.background$fill, "white") expect_equal(thm$plot.background$fill, "white") }) test_that("theme economist_white with gray background works", { thm <- theme_economist_white(gray_bg = TRUE) expect_s3_class(thm, "theme") expect_equal( thm$plot.background$fill, purrr::pluck( dplyr::filter( ggthemes_data$economist$bg, name == "light gray" ), "value" ) ) }) ggthemes/tests/testthat/helper-vdiffr.R0000644000176200001440000000033315112366564017747 0ustar liggesusersexpect_doppelganger <- function(title, fig, path = NULL) { # need to call conditionally because vdiffr listed in Suggests (#124) testthat::skip_if_not_installed("vdiffr") vdiffr::expect_doppelganger(title, fig) } ggthemes/tests/testthat/test-theme_solid.R0000644000176200001440000000021415112366564020461 0ustar liggesuserstest_that("theme_solid works", { thm <- theme_solid(fill = "red") expect_s3_class(thm, "theme") expect_equal(thm$rect$fill, "red") }) ggthemes/tests/testthat/test-ptol.R0000644000176200001440000000052515112366564017150 0ustar liggesuserstest_that("ptol_pal works", { p <- ptol_pal() expect_type(p, "closure") expect_type(attr(p, "max_n"), "integer") expect_hexcolor(p(11)) }) test_that("scale_colour_ptol works", { expect_s3_class(scale_colour_ptol(), "ScaleDiscrete") }) test_that("scale_fill_ptol works", { expect_s3_class(scale_fill_ptol(), "ScaleDiscrete") }) ggthemes/tests/testthat/test-tufte.R0000644000176200001440000000040715112366564017320 0ustar liggesuserstest_that("theme_tufte works", { thm <- theme_tufte() expect_s3_class(thm, "theme") }) test_that("theme_tufte works with ticks = FALSE", { thm <- theme_tufte(ticks = FALSE) expect_s3_class(thm, "theme") expect_equal(thm$axis.ticks, element_blank()) }) ggthemes/tests/testthat/test-calc.R0000644000176200001440000000167015112366564017076 0ustar liggesuserstest_that("calc_shape_pal works", { pal <- calc_shape_pal() expect_type(pal, "closure") expect_type(attr(pal, "max_n"), "integer") n <- 5L shapes <- pal(n) expect_type(shapes, "integer") expect_true(all(shapes < 0)) expect_equal(length(shapes), n) }) test_that("calc_pal works", { pal <- calc_pal() expect_type(pal, "closure") expect_type(attr(pal, "max_n"), "integer") n <- 5L expect_hexcolor(pal(n)) expect_warning(pal(100)) expect_error(pal(-1)) }) test_that("calc_shape_pal raises warning for large n", { expect_warning(calc_shape_pal()(100)) }) test_that("theme_calc works", { expect_s3_class(theme_calc(), "theme") }) test_that("scale_colour_calc works", { expect_s3_class(scale_colour_calc(), "ScaleDiscrete") }) test_that("scale_fill_calc works", { expect_s3_class(scale_fill_calc(), "ScaleDiscrete") }) test_that("scale_shape_calc works", { expect_s3_class(scale_shape_calc(), "ScaleDiscrete") }) ggthemes/tests/testthat/_snaps/0000755000176200001440000000000015112366564016353 5ustar liggesusersggthemes/tests/testthat/_snaps/few/0000755000176200001440000000000015112366564017134 5ustar liggesusersggthemes/tests/testthat/_snaps/few/theme-few.svg0000644000176200001440000001475615112366564021553 0ustar liggesusers 1 1.0 1.5 2.0 2.5 3.0 1.0 1.5 2.0 2.5 3.0 x y z a b theme_few ggthemes/tests/testthat/_snaps/shapes.md0000644000176200001440000000120515112366564020156 0ustar liggesusers# circlefill_pal works Code pal <- circlefill_shape_pal() Condition Warning: `circlefill_shape_pal()` was deprecated in ggthemes 5.0.0. Code expect_type(pal, "closure") expect_equal(attr(pal, "max_n"), 5L) n <- 4L values <- pal(n) expect_type(values, "integer") expect_equal(length(values), n) # scale_shape_circlefill works Code expect_s3_class(scale_shape_circlefill(), "ScaleDiscrete") Condition Warning: `scale_shape_circlefill()` was deprecated in ggthemes 5.0.0. Warning: `circlefill_shape_pal()` was deprecated in ggthemes 5.0.0. ggthemes/tests/testthat/test-fivethirtyeight.R0000644000176200001440000000077115112366564021413 0ustar liggesuserstest_that("theme_fivethirtyeight works", { expect_s3_class(theme_fivethirtyeight(), "theme") }) test_that("scale_fill_fivethirtyeight works", { expect_s3_class(scale_fill_fivethirtyeight(), "ScaleDiscrete") }) test_that("scale_colour_fivethirtyeight works", { expect_s3_class(scale_colour_fivethirtyeight(), "ScaleDiscrete") }) test_that("fivethirtyeight_pal works", { p <- fivethirtyeight_pal() expect_type(p, "closure") expect_type(attr(p, "max_n"), "integer") expect_hexcolor(p(3)) }) ggthemes/tests/testthat/test-stata.R0000644000176200001440000000276015112461554017304 0ustar liggesuserstest_that("stata_pal works", { p <- stata_pal() expect_type(p, "closure") expect_type(attr(p, "max_n"), "integer") n <- 5 vals <- p(n) expect_hexcolor(vals) expect_length(vals, n) expect_warning(stata_pal()(100)) }) test_that("scale_colour_stata works", { expect_s3_class(scale_colour_stata(), "ScaleDiscrete") }) test_that("scale_color_stata works", { expect_equal_scale(scale_colour_stata(), scale_color_stata()) }) test_that("scale_fill_stata works", { expect_s3_class(scale_fill_stata(), "ScaleDiscrete") }) test_that("scale_shape_stata works", { expect_s3_class(scale_shape_stata(), "ScaleDiscrete") }) test_that("theme_stata works", { expect_s3_class(theme_stata(), "theme") for (i in c("s2mono", "s1mono", "s2manual", "s1rcolor", "s1color")) { expect_s3_class(theme_stata(scheme = i), "theme") } }) test_that("theme_state raises error with invallid scheme", { expect_error(theme_stata(scheme = "dsagasagdadgaga"), regexp = "`scheme` must be one of") }) test_that("stata_shape_pal works", { p <- stata_shape_pal() expect_type(p, "closure") n <- 5L vals <- p(n) expect_type(vals, "integer") expect_length(vals, n) expect_true(all(vals < 0)) expect_warning(p(100)) }) test_that("stata_linetype_pal works", { p <- stata_linetype_pal() expect_type(p, "closure") n <- 5L vals <- p(n) expect_equal(vals, c("solid", "84", "23", "F414", "F4")) }) test_that("scale_linetype_stata works", { expect_s3_class(scale_linetype_stata(), "ScaleDiscrete") }) ggthemes/tests/testthat/test-gdocs.R0000644000176200001440000000105615112366564017271 0ustar liggesuserstest_that("gdocs_pal works", { pal <- gdocs_pal() expect_type(pal, "closure") n <- 3 vals <- pal(n) expect_type(vals, "character") expect_equal(length(vals), n) }) test_that("scale_fill_gdocs works", { expect_s3_class(scale_fill_gdocs(), "ScaleDiscrete") }) test_that("scale_colour_gdocs works", { expect_s3_class(scale_fill_gdocs(), "ScaleDiscrete") }) test_that("scale_color_gdocs works", { expect_equal_scale(scale_color_gdocs(), scale_colour_gdocs()) }) test_that("theme_gdocs works", { expect_s3_class(theme_gdocs(), "theme") }) ggthemes/tests/testthat/test-base.R0000644000176200001440000000235615112366564017110 0ustar liggesuserstest_that("theme_base runs", { expect_s3_class(theme_base(), "theme") }) test_that("theme_par runs", { expect_s3_class(theme_par(), "theme") }) test_that("theme_par recognizes las", { withr::with_par(list(las = 1), { thm <- theme_par() expect_equal(thm$axis.title.x$angle, 0) expect_equal(thm$axis.title.y$angle, 0) }) withr::with_par(list(las = 2), { thm <- theme_par() expect_equal(thm$axis.title.x$angle, 90) expect_equal(thm$axis.title.y$angle, 0) }) withr::with_par(list(las = 3), { thm <- theme_par() expect_equal(thm$axis.title.x$angle, 90) expect_equal(thm$axis.title.y$angle, 90) }) }) test_that("theme_par recognizes tck", { withr::with_par(list(tck = 1), { expect_equal(theme_par()$axis.ticks.length, grid::unit(-1, "snpc")) }) }) test_that("theme_par recognizes xaxt", { withr::with_par(list(xaxt = "n"), { thm <- theme_par() for (i in c("axis.line.x", "axis.text.x", "axis.ticks.x")) { expect_equal(thm[[i]], element_blank()) } }) }) test_that("theme_par recognizes yaxt", { withr::with_par(list(yaxt = "n"), { thm <- theme_par() for (i in c("axis.line.y", "axis.text.y", "axis.ticks.y")) { expect_equal(thm[[i]], element_blank()) } }) }) ggthemes/tests/testthat/test-hc.R0000644000176200001440000000150715112461554016560 0ustar liggesuserstest_that("hc_pal works", { pal <- hc_pal() expect_type(pal, "closure") n <- 5 values <- pal(n) expect_type(values, "character") expect_equal(length(values), n) }) test_that("hc_pal raises error with invalid palette", { expect_error(hc_pal(palette = "asdgasdgasdgas"), regexp = "not valid") }) test_that("scale_colour_hc works", { expect_s3_class(scale_colour_hc(), "ScaleDiscrete") }) test_that("scale_color_hc works", { expect_equal_scale(scale_colour_hc(), scale_color_hc()) }) test_that("scale_fill_hc works", { expect_s3_class(scale_fill_hc(), "ScaleDiscrete") }) test_that("theme_hc works", { expect_s3_class(theme_hc(), "theme") expect_s3_class(theme_hc(style = "darkunica"), "theme") }) test_that("bgcolor raises warning", { expect_warning(theme_hc(bgcolor = "darkunica"), regexp = "deprecated") }) ggthemes/tests/testthat.R0000644000176200001440000000061415112366564015214 0ustar liggesusers# This file is part of the standard setup for testthat. # It is recommended that you do not modify it. # # Where should you do additional test configuration? # Learn more about the roles of various files in: # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview # * https://testthat.r-lib.org/articles/special-files.html library(testthat) library(ggthemes) test_check("ggthemes") ggthemes/tests/spelling.R0000644000176200001440000000023115112461554015157 0ustar liggesusersif (requireNamespace("spelling", quietly = TRUE)) { spelling::spell_check_test( vignettes = TRUE, error = FALSE, skip_on_cran = TRUE ) } ggthemes/tests/figs/0000755000176200001440000000000015112366564014160 5ustar liggesusersggthemes/tests/figs/few/0000755000176200001440000000000015112366564014741 5ustar 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17ce06aea7f53cd59e9e331d38ad3bb3 *tests/testthat/test-tufte.R 2f67253a6e0e972dc91ec8bc97972b81 *tests/testthat/test-tufteboxplot.R 155dff9726d756f4ca62df7de6b07484 *tests/testthat/test-wsj_pal.R ggthemes/R/0000755000176200001440000000000015112676746012275 5ustar liggesusersggthemes/R/show.R0000644000176200001440000000371415112461554013372 0ustar liggesusers#' Show shapes #' #' A quick and dirty way to show shapes. #' #' @export #' @param shapes A numeric or character vector of shapes. See #' \code{\link[graphics]{par}()}. #' @param labels Include the plotting character value of the symbol. #' @seealso \code{\link[scales]{show_col}()}, \code{\link{show_linetypes}()} #' @return This function called for the side effect of creating a plot. #' It returns \code{shapes}. #' @example inst/examples/ex-show_shapes.R show_shapes <- function(shapes, labels = TRUE) { n <- length(shapes) ncol <- ceiling(sqrt(n)) nrow <- ceiling(n / ncol) x <- c(shapes, rep(NA, nrow * ncol - length(shapes))) x <- matrix(x, ncol = ncol, byrow = TRUE) x <- x[rev(seq_len(nrow(x))), ] plot(0, 0, xlim = c(1, ncol(x)), ylim = c(1, nrow(x)), type = "n", xlab = "", ylab = "", axes = FALSE) for (i in seq_len(ncol(x))) { for (j in seq_len(nrow(x))) { points(i, j, pch = x[j, i]) if (labels) { text(i, j, x[j, i], pos = 1, col = "gray70") } } } invisible(shapes) } #' Show linetypes #' #' A quick and dirty way to show linetypes. #' #' @export #' @param linetypes A character vector of linetypes. See #' \code{\link{par}()}. #' @param labels Label each line with its linetype (lty) value. #' #' @seealso \code{\link[scales]{show_col}()}, \code{\link{show_linetypes}()} #' #' @example inst/examples/ex-show_linetypes.R #' @return This function called for the side effect of creating a plot. #' It returns \code{linetypes}. #' @importFrom graphics plot show_linetypes <- function(linetypes, labels = TRUE) { n <- length(linetypes) plot(0, 0, xlim = c(0, 1), ylim = c(n, 1), type = "n", xlab = "", ylab = "", axes = FALSE) for (i in seq_along(linetypes)) { abline(h = i, lty = linetypes[i]) } if (labels) { axis(side = 2, at = seq_len(n), tick = FALSE, labels = linetypes, las = 2) } else { axis(side = 2, at = seq_len(n), tick = FALSE, labels = seq_len(n), las = 2) } invisible(linetypes) } ggthemes/R/hc.R0000644000176200001440000000606415112654506013006 0ustar liggesusers#' Highcharts Theme #' #' Theme based on \href{https://www.highcharts.com/}{Highcharts} plots. #' #' @references #' #' \url{https://www.highcharts.com/demo/highcharts/line-chart} #' #' @inheritParams ggplot2::theme_bw #' @param style The Highcharts theme to use \code{'default'}, #' \code{'darkunica'}. #' @param bgcolor Deprecated #' @example inst/examples/ex-theme_hc.R #' @family themes hc #' @export theme_hc <- function(base_size = 12, base_family = "sans", style = c("default", "darkunica"), bgcolor = NULL) { if (!is.null(bgcolor)) { warning("`bgcolor` is deprecated. Use `style` instead.") style <- bgcolor } style <- match.arg(style) bgcolor <- switch(style, default = "#FFFFFF", "darkunica" = "#2a2a2b") ret <- theme( rect = element_rect(fill = bgcolor, linetype = 0, colour = NA), text = element_text(size = base_size, family = base_family), title = element_text(hjust = 0.5), axis.title.x = element_text(hjust = 0.5), axis.title.y = element_text(hjust = 0.5), panel.grid.major.y = element_line(colour = "#D8D8D8"), panel.grid.minor.y = element_blank(), panel.grid.major.x = element_blank(), panel.grid.minor.x = element_blank(), panel.border = element_blank(), panel.background = element_blank(), legend.position = "bottom", legend.key = element_rect(fill = "#FFFFFF00") ) if (style == "darkunica") { ret <- (ret + theme( rect = element_rect(fill = bgcolor), text = element_text(colour = "#A0A0A3"), title = element_text(colour = "#FFFFFF"), axis.title.x = element_text(colour = "#A0A0A3"), axis.title.y = element_text(colour = "#A0A0A3"), panel.grid.major.y = element_line(colour = "#707073"), legend.title = element_text(colour = "#A0A0A3") )) } ret } #' Highcharts color palette (discrete) #' #' The Highcharts uses many different color palettes in its #' plots. This collects a few of them. #' #' @param palette \code{character} The name of the Highcharts theme to use. One of #' \code{"default"}, or \code{"darkunica"}. #' #' @family colour hc #' @export hc_pal <- function(palette = "default") { if (palette %in% names(ggthemes::ggthemes_data$hc)) { manual_pal(unname(ggthemes::ggthemes_data$hc[[palette]])) } else { stop( "Palette `", palette, "` not valid. Must be one of ", stringr::str_c("`", names(ggthemes::ggthemes_data$hc), "`", collapse = ", "), call. = FALSE ) } } #' Highcharts color and fill scales #' #' Colour and fill scales which use the palettes in #' \code{\link{hc_pal}()} and are meant for use with #' \code{\link{theme_hc}()}. #' #' @inheritParams ggplot2::scale_colour_hue #' @inheritParams hc_pal #' @family colour hc #' @rdname scale_hc #' @export scale_colour_hc <- function(palette = "default", ...) { discrete_scale("colour", palette = hc_pal(palette), ...) } #' @rdname scale_hc #' @export scale_color_hc <- scale_colour_hc #' @rdname scale_hc #' @export scale_fill_hc <- function(palette = "default", ...) { discrete_scale("fill", palette = hc_pal(palette), ...) } ggthemes/R/few.R0000644000176200001440000001114615112654506013172 0ustar liggesusers# nolint start #' Color Palettes Few "Show Me the Numbers" #' #' Qualitative color palettes from Stephen Few (2012) #' \emph{Show Me the Numbers}. There are three palettes: #' Light, Medium, and Dark. Each palette comprises nine colors: #' gray, blue, orange, green, pink, brown, purple, yellow, red. #' For \code{n = 1}, gray is used. For \code{n > 1}, the eight non-gray #' colors are used. #' #' #' Use the light palette for filled areas, such as bar charts. #' Use the medium palette for points and lines. #' Use the dark palette for highlighting specific points #' or for small and thin lines and points. #' #' @references #' Few, S. (2012) \emph{Show Me the Numbers: Designing Tables and Graphs to Enlighten}. #' 2nd edition. Analytics Press. #' #' \href{https://www.perceptualedge.com/articles/visual_business_intelligence/rules_for_using_color.pdf}{"Practical Rules for Using Color in Charts"}. #' #' @export #' @param palette One of \Sexpr[results=rd]{names(ggthemes:::rd_optlist(ggthemes::ggthemes_data$few$colors))} #' @family colour few #' @example inst/examples/ex-few_pal.R # nolint end few_pal <- function(palette = "Medium") { palette <- ggthemes::ggthemes_data$few$colors[[palette]] if (is.null(palette)) { stop( "palette must be one of: ", paste0("\"", names(ggthemes::ggthemes_data$few$colors), "\"", collapse = ", "), call. = FALSE ) } ## The first value, gray, is used for non-data parts. values <- palette[["value"]] max_n <- length(values) - 1L f <- function(n) { check_pal_n(n, max_n) if (n == 1L) { values[[1L]] } else { unname(values[2L:(n + 1L)]) } } attr(f, "max_n") <- length(values) - 1L f } #' Color scales from Few's "Practical Rules for Using Color in Charts" #' #' See \code{\link{few_pal}()}. #' #' @inheritParams ggplot2::scale_colour_hue #' @inheritParams few_pal #' @family colour few #' @rdname scale_few #' @export scale_colour_few <- function(palette = "Medium", ...) { discrete_scale("colour", palette = few_pal(palette), ...) } #' @export #' @rdname scale_few scale_color_few <- scale_colour_few #' @export #' @rdname scale_few scale_fill_few <- function(palette = "Light", ...) { discrete_scale("fill", palette = few_pal(palette), ...) } #' Theme based on Few's "Practical Rules for Using Color in Charts" #' #' Theme based on the rules and examples from Stephen Few's #' \emph{Show Me the Numbers} and "Practical Rules for Using Color in Charts". #' #' @references #' Few, S. (2012) \emph{Show Me the Numbers: Designing Tables and Graphs to Enlighten}. #' 2nd edition. Analytics Press. #' #' Stephen Few, "Practical Rules for Using Color in Charts", #' \url{https://www.perceptualedge.com/articles/visual_business_intelligence/rules_for_using_color.pdf}. #' #' @inheritParams ggplot2::theme_bw #' @family themes few #' @export #' @example inst/examples/ex-theme_few.R theme_few <- function(base_size = 12, base_family = "") { gray <- "#4D4D4D" black <- "#000000" theme_bw(base_size = base_size, base_family = base_family) + theme( line = element_line(colour = gray), rect = element_rect(fill = "white", colour = NA), text = element_text(colour = black), axis.ticks = element_line(colour = gray), legend.key = element_rect(colour = NA), ## Examples do not use grid lines panel.border = element_rect(colour = gray), panel.grid = element_blank(), strip.background = element_rect(fill = "white", colour = NA) ) } #' Shape palette from "Show Me the Numbers" (discrete) #' #' Shape palette from Stephen Few's, "Show Me the Numbers". #' The shape palette consists of five shapes: circle, square, triangle, plus, #' times. #' #' @references Few, S. (2012) #' \emph{Show Me the Numbers: Designing Tables and Graphs to Enlighten}, #' Analytics Press, p. 208. #' #' @export few_shape_pal <- function() { shapes <- ggthemes::ggthemes_data[["few"]][["shapes"]] max_n <- nrow(shapes) f <- function(n) { check_pal_n(n, max_n) shapes[["pch"]][seq_len(n)] } attr(f, "max_n") <- max_n f } #' Scales for shapes from "Show Me the Numbers" #' #' \code{scale_shape_few()} maps discrete variables to up to five easily #' discernible shapes. It is based on the shape palette suggested in #' Few (2012). #' #' @param ... Common \code{\link[ggplot2]{discrete_scale}()} parameters. #' @references Few, S. (2012) #' \emph{Show Me the Numbers: Designing Tables and Graphs to Enlighten}, #' Analytics Press, p. 208. #' @seealso \code{\link{scale_shape_few}()} for the shape palette that this #' scale uses. #' @export scale_shape_few <- function(...) { discrete_scale("shape", palette = few_shape_pal(), ...) } ggthemes/R/igray.R0000644000176200001440000000227715112366564013535 0ustar liggesusers#' Inverse gray theme #' #' Theme with white panel and gray background. #' #' @section Details: #' #' This theme inverts the colors in the \code{\link[ggplot2]{theme_gray}()}, a #' white panel and a light gray area around it. This keeps a white #' background for the color scales like \code{\link[ggplot2]{theme_bw}()}. But #' by using a gray background, the plot is closer to the #' typographical color of the document, which is the motivation for #' using a gray panel in \code{\link[ggplot2]{theme_gray}()}. This is #' similar to the style of plots in Stata and Tableau. #' #' @inheritParams ggplot2::theme_grey #' @export #' @family themes #' @seealso \code{\link[ggplot2]{theme_gray}()}, #' \code{\link[ggplot2]{theme_bw}()} #' @example inst/examples/ex-theme_igray.R #' @importFrom ggplot2 theme_gray theme_igray <- function(base_size = 12, base_family = "") { (theme_gray(base_size = base_size, base_family = base_family) + theme( rect = element_rect(fill = "gray90"), legend.key = element_rect(fill = "white"), panel.background = element_rect(fill = "white"), panel.grid.major = element_line(colour = "gray90"), plot.background = element_rect(fill = "gray90") )) } ggthemes/R/ptol.R0000644000176200001440000000260115112711443013355 0ustar liggesusers#' Color Palettes from Paul Tol's "Colour Schemes" #' #' Qualitative color palettes from Paul Tol, #' \href{https://sronpersonalpages.nl/~pault/}{"Colour Schemes"}. #' #' Incorporation of the palette into an R package was originally inspired by #' Peter Carl's [Paul Tol 21 Gun Salute](https://tradeblotter.wordpress.com/2013/02/28/the-paul-tol-21-color-salute/) #' #' @export #' @family colour ptol #' @references #' Paul Tol. 2012. "Colour Schemes." SRON Technical Note, SRON/EPS/TN/09-002. #' \url{https://sronpersonalpages.nl/~pault/data/colourschemes.pdf} #' @example inst/examples/ex-ptol_pal.R ptol_pal <- function() { colors <- ggthemes::ggthemes_data[["ptol"]][["qualitative"]] max_n <- length(colors) f <- function(n) { check_pal_n(n, max_n) colors[[n]] } attr(f, "max_n") <- max_n f } #' Color Scales from Paul Tol's "Colour Schemes #' #' See \code{\link{ptol_pal}()}. These palettes support up to 12 values. #' #' @inheritParams ggplot2::scale_colour_hue #' @inheritParams ptol_pal #' @family colour ptol #' @rdname scale_ptol #' @export #' @example inst/examples/ex-scale_colour_ptol.R scale_colour_ptol <- function(...) { discrete_scale("colour", palette = ptol_pal(), ...) } #' @export #' @rdname scale_ptol scale_color_ptol <- scale_colour_ptol #' @export #' @rdname scale_ptol scale_fill_ptol <- function(...) { discrete_scale("fill", palette = ptol_pal(), ...) } ggthemes/R/wsj.R0000644000176200001440000001000315112711261013173 0ustar liggesusers#' Wall Street Journal theme #' #' Theme based on the plots in \emph{The Wall Street Journal}. #' #' This theme should be used with \code{\link{scale_color_wsj}()}. #' #' @references #' #' \url{https://x.com/WSJGraphics} #' #' \url{https://pinterest.com/wsjgraphics/wsj-graphics/} #' #' @inheritParams ggplot2::theme_grey #' @param color The background color of plot. One of \code{'brown', #' 'gray', 'green', 'blue'}. #' @param title_family Plot title font family. #' @family themes wsj #' @example inst/examples/ex-theme_wsj.R #' @export #' @importFrom ggplot2 element_line element_rect element_text element_blank rel theme_wsj <- function(base_size = 12, color = "brown", base_family = "sans", title_family = "mono") { colorhex <- ggthemes::ggthemes_data$wsj$bg[color] theme_foundation(base_size = base_size, base_family = base_family) + theme( line = element_line(linetype = 1, colour = "black"), rect = element_rect(fill = colorhex, linetype = 0, colour = NA), text = element_text(colour = "black"), title = element_text( family = title_family, size = rel(2) ), axis.title = element_blank(), axis.text = element_text(face = "bold", size = rel(1)), axis.text.x = element_text(colour = NULL), axis.text.y = element_text(colour = NULL), axis.ticks = element_line(colour = NULL), axis.ticks.y = element_blank(), axis.ticks.x = element_line(colour = NULL), axis.line = element_line(), axis.line.y = element_blank(), legend.background = element_rect(), legend.position = "top", legend.direction = "horizontal", legend.box = "vertical", panel.grid = element_line(colour = NULL, linetype = 3), panel.grid.major = element_line(colour = "black"), panel.grid.major.x = element_blank(), panel.grid.minor = element_blank(), plot.title = element_text(hjust = 0, face = "bold"), plot.margin = unit(c(1, 1, 1, 1), "lines"), strip.background = element_rect() ) } #' Wall Street Journal color palette (discrete) #' #' The Wall Street Journal uses many different color palettes in its #' plots. This collects a few of them, but is by no means exhaustive. #' Collections of these plots can be found on the WSJ Graphics #' \href{https://x.com/WSJGraphics}{X (formerly Twitter)} feed and #' \href{https://pinterest.com/wsjgraphics/wsj-graphics/}{Pinterest}. #' #' @section Palettes: #' #' The following palettes are defined, #' #' \describe{ #' \item{rgby}{Red/Green/Blue/Yellow theme.} #' \item{red_green}{Green/red two-color scale for good/bad.} #' \item{green_black}{Black-green 4-color scale for 'Very negative', #' 'Somewhat negative', 'somewhat positive', 'very positive'.} #' \item{dem_rep}{Democrat/Republican/Undecided blue/red/gray scale.} #' \item{colors6}{Red, blue, gold, green, orange, and black palette.} #' } #' #' @param palette \code{character} The color palette to use: . #' \Sexpr[results=rd]{ggthemes:::rd_optlist(names(ggthemes::ggthemes_data$wsj$palettes))} #' #' @family colour wsj #' @export wsj_pal <- function(palette = "colors6") { palettes <- ggthemes::ggthemes_data[["wsj"]][["palettes"]] if (palette %in% names(palettes)) { colors <- palettes[[palette]][["value"]] max_n <- length(colors) f <- manual_pal(unname(colors)) attr(f, "max_n") <- max_n f } else { stop(sprintf("palette %s not a valid palette.", palette)) } } #' Wall Street Journal color and fill scales #' #' Colour and fill scales which use the palettes in \code{\link{wsj_pal}()}. #' These scales should be used with \code{\link{theme_wsj}()}. #' #' @inheritParams ggplot2::scale_colour_hue #' @inheritParams wsj_pal #' @family colour wsj #' @rdname scale_wsj #' @export scale_colour_wsj <- function(palette = "colors6", ...) { discrete_scale("colour", palette = wsj_pal(palette), ...) } #' @rdname scale_wsj #' @export scale_color_wsj <- scale_colour_wsj #' @rdname scale_wsj #' @export scale_fill_wsj <- function(palette = "colors6", ...) { discrete_scale("fill", palette = wsj_pal(palette), ...) } ggthemes/R/ggthemes-package.R0000644000176200001440000000056315112366564015612 0ustar liggesusers#' @keywords internal "_PACKAGE" #' @importFrom ggplot2 ggplot theme ggproto aes draw_key_path #' @importFrom grid grobTree grobName gTree gList segmentsGrob gpar #' @importFrom scales manual_pal div_gradient_pal seq_gradient_pal #' @importFrom graphics abline axis text points #' @importFrom methods hasArg as #' @importFrom graphics par NULL globalVariables(".data") ggthemes/R/fivethirtyeight.R0000644000176200001440000000474015112654506015631 0ustar liggesusers#' Theme inspired by FiveThirtyEight plots #' #' Theme inspired by the plots from FiveThirtyEight.com. #' #' @inheritParams ggplot2::theme_grey #' @family themes fivethirtyeight #' @export #' @example inst/examples/ex-theme_fivethirtyeight.R #' @importFrom grid unit theme_fivethirtyeight <- function(base_size = 12, base_family = "sans") { colors <- deframe(ggthemes::ggthemes_data[["fivethirtyeight"]]) (theme_foundation(base_size = base_size, base_family = base_family) + theme( line = element_line(colour = "black"), rect = element_rect( fill = colors["Light Gray"], linetype = 0, colour = NA ), text = element_text(colour = colors["Dark Gray"]), axis.title = element_blank(), axis.text = element_text(), axis.ticks = element_blank(), axis.line = element_blank(), legend.background = element_rect(), legend.position = "bottom", legend.direction = "horizontal", legend.box = "vertical", panel.grid = element_line(colour = NULL), panel.grid.major = element_line(colour = colors["Medium Gray"]), panel.grid.minor = element_blank(), # unfortunately, can't mimic subtitles TODO! plot.title = element_text(hjust = 0, size = rel(1.5), face = "bold"), plot.margin = unit(c(1, 1, 1, 1), "lines"), strip.background = element_rect() )) } #' FiveThirtyEight color palette #' #' The standard three-color FiveThirtyEight palette for line plots comprises #' blue, red, and green. #' #' @family colour fivethirtyeight #' @export #' @example inst/examples/ex-fivethirtyeight_pal.R fivethirtyeight_pal <- function() { colors <- deframe(ggthemes::ggthemes_data[["fivethirtyeight"]]) values <- unname(colors[c("Blue", "Red", "Green")]) max_n <- length(values) f <- manual_pal(values) attr(f, "max_n") <- max_n f } #' FiveThirtyEight color scales #' #' Color scales using the colors in the FiveThirtyEight graphics. #' #' @inheritParams ggplot2::scale_colour_hue #' @family colour fivethirtyeight #' @rdname scale_fivethirtyeight #' @seealso \code{\link{theme_fivethirtyeight}()} for examples. #' @export scale_colour_fivethirtyeight <- function(...) { discrete_scale("colour", palette = fivethirtyeight_pal(), ...) } #' @rdname scale_fivethirtyeight #' @export scale_color_fivethirtyeight <- scale_colour_fivethirtyeight #' @rdname scale_fivethirtyeight #' @export scale_fill_fivethirtyeight <- function(...) { discrete_scale("fill", palette = fivethirtyeight_pal(), ...) } ggthemes/R/economist.R0000644000176200001440000002124515112654506014412 0ustar liggesusers#' Economist color palette (discrete) #' #' The hues in the palette are blues, grays, and greens. Red is not #' included in these palettes and should be used to indicate #' important data. #' #' @param fill Use the fill palette. #' @family colour economist #' @export #' @example inst/examples/ex-economist_pal.R economist_pal <- function(fill = TRUE) { colors <- deframe(ggthemes::ggthemes_data[["economist"]][["fg"]]) if (fill) { max_n <- 9 f <- function(n) { check_pal_n(n, max_n) if (n == 1L) { i <- "dark blue" } else if (n == 2L) { i <- c("blue", "dark blue") } else if (n == 3L) { i <- c("blue-gray", "dark blue", "blue") } else if (n == 4L) { i <- c("blue-gray", "dark blue", "blue", "gray") } else if (n %in% 5:6) { ## 20120901_woc904 i <- c( "blue-gray", "dark blue", "light blue", "blue", "light green", "dark green" ) } else if (n == 7L) { # 20120818_AMC820 i <- c( "blue-gray", "dark blue", "blue", "light blue", "dark green", "light green", "gray" ) } else if (n >= 8L) { # 20120915_EUC094 i <- c( "blue-gray", "dark blue", "blue", "light blue", "dark green", "light green", "dark red", "pink", "gray" ) } unname(colors[i][seq_len(n)]) } } else { max_n <- 9 f <- function(n) { check_pal_n(n, max_n) if (n <= 3) { # 20120818_AMC20 # 20120901_FBC897 i <- c("dark blue", "blue", "light blue") } else if (n %in% 4:5) { # i <- c("dark blue", "blue", "light blue", "red", "gray") i <- c("dark blue", "blue", "light blue", "blue-gray", "gray") } else if (n == 6) { # 20120825_IRC829 i <- c( "light green", "dark green", "gray", "blue-gray", "light blue", "dark blue" ) } else if (n > 6) { # 20120825_IRC829 i <- c( "light green", "dark green", "gray", "blue-gray", "light blue", "dark blue", "dark red", "pink", "brown" ) } unname(colors[i][seq_len(n)]) } } attr(f, "max_n") <- max_n f } #' Economist color scales #' #' Color scales using the colors in the Economist graphics. #' #' @inheritParams ggplot2::scale_colour_hue #' @inheritParams economist_pal #' @family colour economist #' @rdname scale_economist #' @seealso \code{\link{theme_economist}()} for examples. #' @export scale_colour_economist <- function(...) { discrete_scale("colour", palette = economist_pal(), ...) } #' @rdname scale_economist #' @export scale_color_economist <- scale_colour_economist #' @rdname scale_economist #' @export scale_fill_economist <- function(...) { discrete_scale("fill", palette = economist_pal(), ...) } #' ggplot color theme based on the Economist #' #' A theme that approximates the style of \emph{The Economist}. #' #' \code{theme_economist} implements the standard bluish-gray #' background theme in the print \emph{The Economist} and #' \href{https://www.economist.com/}{economist.com}. #' #' \code{theme_economist_white} implements a variant with a while #' panel and light gray (or white) background often used by \emph{The Economist} #' blog \href{https://www.economist.com/blogs/graphicdetail}{Graphic Detail}. #' #' Use \code{\link{scale_color_economist}()} with this theme. #' The x axis should be displayed on the right hand side. #' #' \emph{The Economist} uses "ITC Officina Sans" as its font for graphs. If #' you have access to this font, you can use it with the #' \pkg{extrafont} package. "Verdana" is a good substitute. #' #' @inheritParams ggplot2::theme_grey #' @param horizontal \code{logical} Horizontal axis lines? #' @param dkpanel \code{logical} Darker background for panel region? #' @param gray_bg \code{logical} If \code{TRUE}, use gray background, else #' use white #' background. #' #' @return An object of class \code{\link[ggplot2]{theme}()}. #' #' @export #' @family themes economist #' #' @references #' \itemize{ #' \item \href{https://www.economist.com/}{The Economist} #' \item \href{https://spiekermann.com/en/itc-officina-display/}{Spiekerblog, "ITC Officina Display", January 1, 2007.} #' } #' #' @example inst/examples/ex-theme_economist.R theme_economist <- function(base_size = 10, base_family = "sans", horizontal = TRUE, dkpanel = FALSE) { bgcolors <- deframe(ggthemes::ggthemes_data[["economist"]][["bg"]]) ## From measurements ## Ticks = 1 / 32 in, with margin about 1.5 / 32 ## Title = 3 / 32 in (6 pt) ## Legend Labels = 2.5 / 32 in (5pt) ## Axis Labels = 2 ## Axis Titles and other text ~ 2 ## Margins: Top / Bottom = 6 / 32, sides = 5 / 32 ret <- theme_foundation(base_size = base_size, base_family = base_family) + theme( line = element_line(colour = "black"), rect = element_rect( fill = bgcolors["ebg"], colour = NA, linetype = 1 ), text = element_text(colour = "black"), ## Axis axis.line = element_line(linewidth = rel(0.8)), axis.line.y = element_blank(), axis.text = element_text(size = rel(1)), axis.text.x = element_text( vjust = 0, margin = margin( t = base_size, unit = "pt" ) ), axis.text.x.top = element_text(vjust = 0, margin = margin(b = base_size, unit = "pt")), axis.text.y = element_text( hjust = 0, margin = margin( r = base_size, unit = "pt" ) ), ## I cannot figure out how to get ggplot to do 2 levels of ticks ## axis.ticks.margin = unit(3 / 72, "in"), axis.ticks = element_line(), axis.ticks.y = element_blank(), axis.title = element_text(size = rel(1)), axis.title.x = element_text(), axis.title.y = element_text(angle = 90), # axis.ticks.length = unit( -1/32, "in"), axis.ticks.length = unit(-base_size * 0.5, "points"), legend.background = element_rect(linetype = 0), legend.spacing = unit(base_size * 1.5, "points"), legend.key = element_rect(linetype = 0), legend.key.size = unit(1.2, "lines"), legend.key.height = NULL, legend.key.width = NULL, legend.text = element_text(size = rel(1.25)), legend.title = element_text(size = rel(1), hjust = 0), legend.position = "top", legend.direction = NULL, legend.justification = "center", ## legend.box = element_rect(fill = palette_economist['bgdk'], ## colour=NA, linetype=0), ## Economist only uses vertical lines panel.background = element_rect(linetype = 0), panel.border = element_blank(), panel.grid.major = element_line(colour = "white", linewidth = rel(1.75)), panel.grid.minor = element_blank(), panel.spacing = unit(0.25, "lines"), strip.background = element_rect( fill = bgcolors["ebg"], colour = NA, linetype = 0 ), strip.text = element_text(size = rel(1.25)), strip.text.x = element_text(), strip.text.y = element_text(angle = -90), plot.background = element_rect( fill = bgcolors["blue-gray"], colour = NA ), plot.title = element_text( size = rel(1.5), hjust = 0, face = "bold" ), plot.margin = unit(c(6, 5, 6, 5) * 2, "points"), complete = TRUE ) if (horizontal) { ret <- ret + theme(panel.grid.major.x = element_blank()) } else { ret <- ret + theme(panel.grid.major.y = element_blank()) } if (dkpanel == TRUE) { ret <- ret + theme( panel.background = element_rect( fill = unname(bgcolors["dark blue-gray"]) ), strip.background = element_rect( fill = unname(bgcolors["dark blue-gray"]) ) ) } ret } #' @rdname theme_economist #' @export theme_economist_white <- function(base_size = 11, base_family = "sans", gray_bg = TRUE, horizontal = TRUE) { if (gray_bg) { bgcolor <- get_colors(c("economist", "bg"), "light gray") } else { bgcolor <- "white" } theme_economist( base_family = base_family, base_size = base_size, horizontal = horizontal ) + theme( rect = element_rect(fill = bgcolor), plot.background = element_rect(fill = bgcolor), panel.background = element_rect(fill = "white"), panel.grid.major = element_line( colour = get_colors(c("economist", "bg"), "dark gray") ), strip.background = element_rect(fill = "white") ) } ggthemes/R/geom-tufteboxplot.R0000644000176200001440000002032415112461554016072 0ustar liggesusers#' Tufte's Box Plot #' #' Edward Tufte's revisions of the box plot as described in #' \emph{The Visual Display of Quantitative Information}. #' This functions provides several box plot variants: #' \itemize{ #' \item{A point indicating the median, a gap indicating the #' interquartile range, and lines for whiskers.} #' \item{An offset line indicating the interquartile range #' and a gap indicating the median.} #' \item{A line indicating the interquartile range, #' a gap indicating the median, and points indicating #' the minimum and maximum values} #' \item{A wide line indicating the interquartile range, #' a gap indicating the median, and lines indicating the minimum and #' maximum.} #' } #' #' @section Aesthetics: #' \itemize{ #' \item x [required] #' \item y [required] #' \item colour #' \item size #' \item linetype #' \item shape #' \item fill #' \item alpha #' } #' #' @references Tufte, Edward R. (2001) The Visual Display of #' Quantitative Information, Chapter 6. #' #' McGill, R., Tukey, J. W. and Larsen, W. A. (1978) Variations of #' box plots. The American Statistician 32, 12-16. #' #' @seealso \code{\link[ggplot2]{geom_boxplot}()} #' @inheritParams ggplot2::geom_point #' @param outlier.colour colour for outlying points #' @param outlier.shape shape of outlying points #' @param outlier.size size of outlying points #' @param outlier.stroke stroke for outlying points #' @param median.type If \code{'point'}, then the median is represented by a #' point, and the interquartile range by a gap in the line. If #' \code{median.type='line'}, then the interquartile range is represented by #' a line, possibly offset, and the median by a gap in the line. #' @param whisker.type If \code{'line'}, then whiskers are represented by lines. #' If \code{'point'}, then whiskers are represented by points at #' \code{ymin} and \code{ymax}. #' @param voffset controls the size of the gap in the line representing the #' median when \code{median.type = 'line'}. This is a fraction of the range #' of \code{y}. #' @param hoffset controls how much the interquartile line is offset from the #' whiskers when \code{median.type = 'line'}. This is a fraction of the #' range of \code{x}. #' @param stat The statistical transformation to use on the data for this #' layer, as a string. The default (\code{stat = 'fivenumber'}) calls #' \code{\link{stat_fivenumber}} and produces whiskers that extend #' from the interquartile range to the extremes of the data; specifying #' \code{\link[ggplot2]{stat_boxplot}} will produce a more traditional boxplot #' with whiskers extending to the most extreme points that are < 1.5 IQR #' away from the hinges (i.e., the first and third quartiles). #' @family geom tufte #' @export #' #' @example inst/examples/ex-geom_tufteboxplot.R geom_tufteboxplot <- function( mapping = NULL, data = NULL, stat = "fivenumber", position = "dodge", outlier.colour = "black", # nolint: object_name_linter outlier.shape = 19, # nolint: object_name_linter outlier.size = 1.5, # nolint: object_name_linter outlier.stroke = 0.5, # nolint: object_name_linter voffset = 0.01, hoffset = 0.005, na.rm = FALSE, # nolint: object_name_linter show.legend = NA, # nolint: object_name_linter inherit.aes = TRUE, # nolint: object_name_linter median.type = "point", # nolint: object_name_linter whisker.type = "line", # nolint: object_name_linter ... ) { layer( data = data, mapping = mapping, stat = stat, geom = GeomTufteboxplot, position = position, show.legend = show.legend, inherit.aes = inherit.aes, params = list( outlier.colour = outlier.colour, outlier.shape = outlier.shape, outlier.size = outlier.size, outlier.stroke = outlier.stroke, voffset = voffset, hoffset = hoffset, median.type = median.type, whisker.type = whisker.type, na.rm = na.rm, ... ) ) } #' @rdname geom_tufteboxplot #' @usage NULL #' @format NULL #' @export #' @importFrom ggplot2 draw_key_pointrange ggproto_parent GeomBoxplot GeomSegment GeomPoint #' @importFrom scales alpha #' @importFrom grid grobTree GeomTufteboxplot <- # nolint: object_name_linter ggplot2::ggproto( "GeomTufteboxplot", ggplot2::GeomBoxplot, setup_data = function(self, data, params) { data <- ggproto_parent(GeomBoxplot, self)$setup_data(data, params) x_range <- diff(range(data$x)) y_range <- max(data$ymax) - min(data$ymin) data$hoffset <- params$hoffset * x_range data$voffset <- params$voffset * y_range data }, draw_group = function( data, panel_scales, coord, fatten = 2, outlier.colour = "black", # nolint: object_name_linter outlier.shape = 19, # nolint: object_name_linter outlier.size = 1.5, # nolint: object_name_linter outlier.stroke = 0.5, # nolint: object_name_linter varwidth = FALSE, median.type = c("point", "line"), # nolint: object_name_linter whisker.type = c("line", "point"), # nolint: object_name_linter hoffset = 0.01, voffset = 0.01 ) { median.type <- match.arg(median.type) # nolint: object_name_linter whisker.type <- match.arg(whisker.type) # nolint: object_name_linter common <- data.frame( colour = data$colour, linetype = data$linetype, fill = alpha(data$fill, data$alpha), stroke = data$stroke, shape = data$shape, group = data$group, stringsAsFactors = FALSE ) if (whisker.type == "line") { whiskers <- data.frame( x = data$x, xend = data$x, y = c(data$upper, data$lower), yend = c(data$ymax, data$ymin), size = data$size, alpha = data$alpha, common, stringsAsFactors = FALSE ) whiskers_grob <- GeomSegment$draw_panel(whiskers, panel_scales, coord) } else if (whisker.type == "point") { whiskers <- data.frame( x = data$x, y = c(data$ymin, data$ymax), size = data$size, alpha = data$alpha, common, stringsAsFactors = FALSE ) whiskers_grob <- GeomPoint$draw_panel(whiskers, panel_scales, coord) } if (median.type == "point") { middata <- data.frame( x = data$x, y = data$middle, size = data$size * data$width, alpha = data$alpha, common, stringsAsFactors = FALSE ) middle_grob <- GeomPoint$draw_panel(middata, panel_scales, coord) } else if (median.type == "line") { middata <- data.frame( y = c(data$upper, data$middle) + c(0, -data$voffset / 2), yend = c(data$middle, data$lower) + c(data$voffset / 2, 0), x = data$x + data$hoffset, xend = data$x + data$hoffset, size = data$size * data$width, alpha = data$alpha, common, stringsAsFactors = FALSE ) middle_grob <- GeomSegment$draw_panel( middata, panel_scales, coord ) } if (!is.null(data$outliers) && length(data$outliers[[1]] >= 1)) { outliers <- data.frame( y = data$outliers[[1]], x = data$x[1], colour = outlier.colour, shape = outlier.shape, size = outlier.size, stroke = outlier.stroke, fill = NA, alpha = NA, stringsAsFactors = FALSE ) outliers_grob <- GeomPoint$draw_panel( outliers, panel_scales, coord ) } else { outliers_grob <- NULL } ggname( "geom_tufteboxplot", grobTree( outliers_grob, whiskers_grob, middle_grob ) ) }, draw_legend = ggplot2::draw_key_pointrange, default_aes = ggplot2::aes( weight = 1, colour = "black", fill = "grey20", size = 0.5, alpha = NA, shape = 19, stroke = 0.5, width = 1, linetype = "solid", outlier.colour = "black", outlier.shape = 19, outlier.size = 1.5, outlier.stroke = 0.5 ) ) ggthemes/R/tableau.R0000644000176200001440000002262415112654506014031 0ustar liggesusers# nolint start #' Tableau Color Palettes (discrete) #' #' Color palettes used in \href{https://www.tableau.com/}{Tableau}. #' #' @details Tableau provides three types of color palettes: #' \code{"regular"} (discrete, qualitative categories), #' \code{"ordered-sequential"}, and \code{"ordered-diverging"}. #' #' \describe{ #' \item{\code{"regular"}}{\Sexpr[results=rd]{ggthemes:::rd_optlist(names(ggthemes::ggthemes_data$tableau[["color-palettes"]][["regular"]]))}} #' \item{\code{"ordered-diverging"}}{\Sexpr[results=rd]{ggthemes:::rd_optlist(names(ggthemes::ggthemes_data$tableau[["color-palettes"]][["ordered-diverging"]]))}} #' \item{\code{"ordered-sequential"}}{\Sexpr[results=rd]{ggthemes:::rd_optlist(names(ggthemes::ggthemes_data$tableau[["color-palettes"]][["ordered-sequential"]]))}} #' } #' #' @export #' @param palette Palette name. See Details for available palettes. #' @param type Type of palette. One of \code{"regular"}, \code{"ordered-diverging"}, or \code{"ordered-sequential"}. #' @param direction If 1, the default, then use the original order of #' colors. If -1, then reverse the order. #' #' @references #' \url{http://vis.stanford.edu/color-names/analyzer/} #' #' Maureen Stone, 'Designing Colors for Data' (slides), at the #' International Symposium on Computational Aesthetics in Graphics, #' Visualization, and Imaging, Banff, AB, Canada, June 22, 2007. #' #' Heer, Jeffrey and Maureen Stone, 2012 'Color Naming Models for #' Color Selection, Image Editing and Palette Design', ACM Human #' Factors in Computing Systems (CHI) #' \url{http://vis.stanford.edu/files/2012-ColorNameModels-CHI.pdf}. #' #' @family colour tableau #' @example inst/examples/ex-tableau_color_pal.R # nolint end tableau_color_pal <- function( palette = "Tableau 10", type = c( "regular", "ordered-sequential", "ordered-diverging" ), direction = 1 ) { type <- match.arg(type) palettes <- ggthemes::ggthemes_data[["tableau"]][["color-palettes"]][[type]] if (!palette %in% names(palettes)) { stop( "`palette` must be one of ", paste(names(palettes), collapse = ", "), "." ) } values <- palettes[[palette]][["value"]] max_n <- length(values) f <- function(n) { check_pal_n(n, max_n) values <- values[seq_len(n)] if (direction < 0) { values <- rev(values) } values } attr(f, "max_n") <- length(values) f } #' Tableau color scales (discrete) #' #' Categorical (qualitative) color scales used in Tableau. #' Use the function \funclink{scale_colour_gradient_tableau} for the sequential #' and \funclink{scale_colour_gradient2_tableau} for the diverging continuous #' color scales from Tableu. #' #' @param palette Palette name. See \funclink{tableau_color_pal} #' for available palettes. #' @param type Palette type. One of \code{"regular"}, \code{"sequential"}, #' or \code{"diverging"}. See \funclink{tableau_color_pal}. #' @inheritParams tableau_color_pal #' @param ... Other arguments passed on to \code{\link[ggplot2]{discrete_scale}()}. #' @family colour tableau #' @rdname scale_color_tableau #' @export #' @seealso \code{\link{tableau_color_pal}()} for references. #' @example inst/examples/ex-scale_color_tableau.R scale_colour_tableau <- function(palette = "Tableau 10", type = "regular", direction = 1, ...) { discrete_scale("colour", palette = tableau_color_pal(palette, type, direction), ...) } #' @export #' @rdname scale_color_tableau scale_fill_tableau <- function(palette = "Tableau 10", type = "regular", direction = 1, ...) { discrete_scale("fill", palette = tableau_color_pal(palette, type, direction), ...) } #' @export #' @rdname scale_color_tableau scale_color_tableau <- scale_colour_tableau #' Tableau Shape Palettes (discrete) #' #' Shape palettes used by #' \href{https://www.tableau.com/}{Tableau}. #' #' Not all shape palettes in Tableau are supported. Additionally, these #' palettes are not exact, and use the best unicode character for the shape #' palette. #' #' Since these palettes use unicode characters, their look may depend on the #' font being used, and not all characters may be available. #' #' Shape palettes in Tableau are used to expose images for use a markers in #' charts, and thus are sometimes groupings of closely related symbols. #' #' @export #' @param palette Palette name. #' @family shape tableau #' @example inst/examples/ex-tableau_shape_pal.R tableau_shape_pal <- function(palette = c("default", "filled", "proportions")) { palette <- match.arg(palette) shapes <- ggthemes::ggthemes_data$tableau[["shape-palettes"]][[palette]] f <- manual_pal(shapes[["pch"]]) attr(f, "max_n") <- nrow(shapes) f } #' Tableau shape scales #' #' See \code{\link{tableau_shape_pal}()} for details. #' #' @export #' @inheritParams tableau_shape_pal #' @inheritParams ggplot2::scale_x_discrete #' @family shape tableau #' @example inst/examples/ex-scale_shape_tableau.R scale_shape_tableau <- function(palette = "default", ...) { discrete_scale("shape", palette = tableau_shape_pal(palette), ...) } # nolint start #' Tableau colour gradient palettes (continuous) #' #' Gradient color palettes using the diverging and sequential continous color #' palettes in Tableau. See \funclink{tableau_color_pal} for discrete color #' palettes. #' #' @param palette Palette name. #' \describe{ #' \item{\code{"ordered-sequential"}}{\Sexpr[results=rd]{ggthemes:::rd_optlist(names(ggthemes::ggthemes_data$tableau[["color-palettes"]][["ordered-sequential"]]))}} #' \item{\code{"ordered-diverging"}}{\Sexpr[results=rd]{ggthemes:::rd_optlist(names(ggthemes::ggthemes_data$tableau[["color-palettes"]][["ordered-diverging"]]))}} #' } #' @param type Palette type, either \code{"ordered-sequential"} or #' \code{"ordered-diverging"}. #' @param ... Arguments passed to \code{tableau_gradient_pal}. #' @family colour tableau #' #' @export #' @example inst/examples/ex-tableau_seq_gradient_pal.R # nolint end tableau_gradient_pal <- function(palette = "Blue", type = "ordered-sequential") { type <- match.arg(type, c("ordered-sequential", "ordered-diverging")) pal <- ggthemes::ggthemes_data[[c( "tableau", "color-palettes", type, palette )]] scales::gradient_n_pal(colours = pal[["value"]]) } #' @export #' @rdname tableau_gradient_pal tableau_seq_gradient_pal <- function(palette = "Blue", ...) { tableau_gradient_pal(palette = palette, type = "ordered-sequential", ...) } #' @export #' @rdname tableau_gradient_pal tableau_div_gradient_pal <- function(palette = "Orange-Blue Diverging", ...) { tableau_gradient_pal(palette = palette, type = "ordered-diverging", ...) } #' Tableau sequential colour scales (continuous) #' #' Continuous color scales using the sequential color palettes in Tableau. #' See \funclink{scale_colour_tableau} for Tableau discrete color scales, #' and \funclink{scale_colour_gradient2_tableau} for diverging color #' scales. #' #' @export #' @inheritParams tableau_seq_gradient_pal #' @inheritParams ggplot2::scale_colour_hue #' @param guide Type of legend. Use \code{'colourbar'} for continuous #' colour bar, or \code{'legend'} for discrete colour legend. #' @family colour tableau #' @rdname scale_colour_gradient_tableau #' @example inst/examples/ex-scale_colour_gradient_tableau.R #' @importFrom ggplot2 continuous_scale scale_colour_gradient_tableau <- function( palette = "Blue", ..., na.value = "grey50", # nolint: object_name_linter guide = "colourbar" ) { continuous_scale("colour", palette = tableau_seq_gradient_pal(palette), na.value = na.value, guide = guide, ...) } #' @export #' @rdname scale_colour_gradient_tableau scale_fill_gradient_tableau <- function( palette = "Blue", ..., na.value = "grey50", # nolint: object_name_linter guide = "colourbar" ) { continuous_scale("fill", palette = tableau_seq_gradient_pal(palette), na.value = na.value, guide = guide, ...) } #' @export #' @rdname scale_colour_gradient_tableau scale_color_gradient_tableau <- scale_colour_gradient_tableau #' @export #' @rdname scale_colour_gradient_tableau scale_color_continuous_tableau <- scale_colour_gradient_tableau #' @export #' @rdname scale_colour_gradient_tableau scale_fill_continuous_tableau <- scale_fill_gradient_tableau #' Tableau diverging colour scales (continuous) #' #' Continuous color scales using the diverging color scales in Tableau. #' See \funclink{scale_colour_tableau} for Tabaleau discrete color scales, #' and \funclink{scale_colour_gradient_tableau} for sequential color scales. #' #' @inheritParams tableau_div_gradient_pal #' @inheritParams ggplot2::scale_colour_hue #' @param guide Type of legend. Use \code{'colourbar'} for continuous #' colour bar, or \code{'legend'} for discrete colour legend. #' @family colour tableau #' @export #' @rdname scale_colour_gradient2_tableau #' @example inst/examples/ex-scale_colour_gradient2_tableau.R scale_colour_gradient2_tableau <- function( palette = "Orange-Blue Diverging", ..., na.value = "grey50", # nolint: object_name_linter guide = "colourbar" ) { continuous_scale("colour", palette = tableau_div_gradient_pal(palette), na.value = na.value, guide = guide, ...) } #' @export #' @rdname scale_colour_gradient2_tableau scale_fill_gradient2_tableau <- function( palette = "Orange-Blue Diverging", ..., na.value = "grey50", # nolint: object_name_linter guide = "colourbar" ) { continuous_scale("fill", palette = tableau_div_gradient_pal(palette), na.value = na.value, guide = guide, ...) } #' @export #' @rdname scale_colour_gradient2_tableau scale_color_gradient2_tableau <- scale_colour_gradient2_tableau ggthemes/R/gdocs.R0000644000176200001440000000672715112654506013521 0ustar liggesusers#' Theme with Google Docs Chart defaults #' #' Theme similar to the default look of charts in Google Docs. #' #' @inheritParams ggplot2::theme_grey #' @export #' @family themes gdocs #' @example inst/examples/ex-theme_gdocs.R theme_gdocs <- function(base_size = 12, base_family = "sans") { ltgray <- "#cccccc" dkgray <- "#757575" dkgray2 <- "#666666" theme_foundation( base_size = base_size, base_family = base_family ) + theme( rect = element_rect(colour = "black", fill = "white"), line = element_line(colour = "black"), text = element_text(colour = dkgray), # title is aligned left, 20 point Roboto Font, plain plot.title = element_text( face = "plain", size = rel(20 / 12), hjust = 0, colour = dkgray ), # No subtitle or captions, so treat like other text plot.subtitle = element_text( hjust = 0, size = rel(1), face = "plain", colour = dkgray ), plot.caption = element_text( hjust = 0, size = rel(1), face = "plain", colour = dkgray ), panel.background = element_rect(fill = NA, colour = NA), panel.border = element_rect(fill = NA, colour = NA), # no strips in gdocs, so make similar to axis titles strip.text = element_text( hjust = 0, size = rel(1), colour = dkgray2, face = "plain" ), strip.background = element_rect(colour = NA, fill = NA), # axis titles: Roboto 12pt, plain. axis.title = element_text( face = "plain", colour = dkgray2, size = rel(1) ), # axis text: Roboto 12pt, plain axis.text = element_text( face = "plain", colour = dkgray, size = rel(1) ), # only axis line on the x-axis. black. axis.line = element_line(colour = "black"), axis.line.y = element_blank(), # no axis ticks axis.ticks = element_blank(), # grid lines on both x and y axes. light gray. no minor gridlines panel.grid.major = element_line(colour = ltgray), panel.grid.minor = element_blank(), # legend has no border legend.background = element_rect(colour = NA), # legend labels: Roboto 12, dark gray legend.text = element_text( size = rel(1), colour = dkgray ), # no legend title - use same as legend text legend.title = element_text( size = rel(1), colour = dkgray2, face = "plain" ), legend.key = element_rect(colour = NA), legend.position = "right", legend.direction = "vertical" ) } #' Google Docs color palette (discrete) #' #' Color palettes from Google Docs. #' This palette includes 20 colors. #' #' @family colour gdocs #' @export #' @example inst/examples/ex-gdocs_pal.R gdocs_pal <- function() { values <- ggthemes::ggthemes_data$gdocs$colors$value f <- manual_pal(values) attr(f, "max_n") <- length(values) f } #' Google Docs color scales #' #' Color scales from Google Docs. #' #' @inheritParams ggplot2::scale_colour_hue #' @family colour gdocs #' @rdname scale_gdocs #' @export #' @seealso See \code{\link{theme_gdocs}()} for examples. scale_fill_gdocs <- function(...) { discrete_scale("fill", palette = gdocs_pal(), ...) } #' @export #' @rdname scale_gdocs scale_colour_gdocs <- function(...) { discrete_scale("colour", palette = gdocs_pal(), ...) } #' @export #' @rdname scale_gdocs scale_color_gdocs <- scale_colour_gdocs ggthemes/R/geom-rangeframe.R0000644000176200001440000000666315112461554015454 0ustar liggesusers#' Range Frames #' #' Axis lines which extend to the maximum and minimum of the plotted data. #' #' @section Aesthetics: #' \itemize{ #' \item colour #' \item size #' \item linetype #' \item alpha #' } #' #' @inheritParams ggplot2::geom_point #' @param sides A string that controls which sides of the plot the frames appear on. #' It can be set to a string containing any of \code{'trbl'}, for top, right, #' bottom, and left. #' @export #' #' @details This should be used with `coord_cartesian(clip="off")` in order to #' correctly draw the lines. #' #' @references Tufte, Edward R. (2001) The Visual Display of #' Quantitative Information, Chapter 6. #' #' @family geom tufte #' @importFrom ggplot2 layer #' @example inst/examples/ex-geom_rangeframe.R geom_rangeframe <- function( mapping = NULL, data = NULL, stat = "identity", position = "identity", ..., sides = "bl", na.rm = FALSE, # nolint: object_name_linter show.legend = NA, # nolint: object_name_linter inherit.aes = TRUE # nolint: object_name_linter ) { layer( data = data, mapping = mapping, stat = stat, geom = GeomRangeFrame, position = position, show.legend = show.legend, inherit.aes = inherit.aes, params = list( sides = sides, na.rm = na.rm, ... ) ) } #' @rdname geom_rangeframe #' @usage NULL #' @format NULL #' @export #' @importFrom ggplot2 Geom #' @importFrom scales alpha # nolint start: object_name_linter GeomRangeFrame <- ggplot2::ggproto( "GeomRangeFrame", ggplot2::Geom, optional_aes = c("x", "y"), draw_panel = function(data, panel_scales, coord, sides = "bl") { rugs <- list() data <- coord[["transform"]](data, panel_scales) gp <- gpar( col = alpha(data[["colour"]], data[["alpha"]]), lty = data[["linetype"]], lwd = data[["size"]] * ggplot2::.pt ) if (!is.null(data[["x"]])) { if (grepl("b", sides)) { rugs[["x_b"]] <- ggname( "range_x_b", segmentsGrob( x0 = unit(min(data[["x"]]), "native"), x1 = unit(max(data[["x"]]), "native"), y0 = unit(0, "npc"), y1 = unit(0, "npc"), gp = gp ) ) } if (grepl("t", sides)) { rugs[["x_t"]] <- ggname( "range_x_t", segmentsGrob( x0 = unit(min(data[["x"]]), "native"), x1 = unit(max(data[["x"]]), "native"), y0 = unit(1, "npc"), y1 = unit(1, "npc"), gp = gp ) ) } } if (!is.null(data[["y"]])) { if (grepl("l", sides)) { rugs[["y_l"]] <- ggname( "range_y_l", segmentsGrob( y0 = unit(min(data[["y"]]), "native"), y1 = unit(max(data[["y"]]), "native"), x0 = unit(0, "npc"), x1 = unit(0, "npc"), gp = gp ) ) } if (grepl("r", sides)) { rugs[["y_r"]] <- ggname( "range_y_r", segmentsGrob( y0 = unit(min(data[["y"]]), "native"), y1 = unit(max(data[["y"]]), "native"), x0 = unit(1, "npc"), x1 = unit(1, "npc"), gp = gp ) ) } } ggname("geom_rangeframe", gTree(children = do.call("gList", rugs))) }, default_aes = ggplot2::aes( colour = "black", size = 0.5, linetype = 1, alpha = NA ), draw_key = ggplot2::draw_key_path ) # nolint end: object_name_linter ggthemes/R/ggthemes_data.R0000644000176200001440000000033015112366564015202 0ustar liggesusers#' Palette and theme data #' #' The \code{ggthemes} environment contains various values used in #' themes and palettes. This is undocumented and subject to change. #' #' @format A \code{list} object. "ggthemes_data" ggthemes/R/tufte.R0000644000176200001440000000311215112373173013530 0ustar liggesusers#' Tufte Maximal Data, Minimal Ink Theme #' #' Theme based on Chapter 6 'Data-Ink Maximization and Graphical #' Design' of Edward Tufte *The Visual Display of Quantitative #' Information*. No border, no axis lines, no grids. This theme works #' best in combination with \code{\link[ggplot2]{geom_rug}()} or #' \code{\link{geom_rangeframe}()}. #' #' @note #' The default font family is set to 'serif' as he uses serif fonts #' for labels in 'The Visual Display of Quantitative Information'. #' The serif font used by Tufte in his books is a variant of Bembo, #' while the sans serif font is Gill Sans. If these fonts are #' installed on your system, then you can use them with the package #' \bold{extrafont}. #' #' @inheritParams ggplot2::theme_grey #' @param ticks \code{logical} Show axis ticks? #' #' @references Tufte, Edward R. (2001) The Visual Display of #' Quantitative Information, Chapter 6. #' #' @family themes tufte #' @example inst/examples/ex-theme_tufte.R #' @export #' @importFrom ggplot2 theme_bw theme_tufte <- function(base_size = 11, base_family = "serif", ticks = TRUE) { ## TODO: start with theme_minimal ret <- theme_bw(base_family = base_family, base_size = base_size) + theme( legend.background = element_blank(), legend.key = element_blank(), panel.background = element_blank(), panel.border = element_blank(), strip.background = element_blank(), plot.background = element_blank(), axis.line = element_blank(), panel.grid = element_blank() ) if (!ticks) { ret <- ret + theme(axis.ticks = element_blank()) } ret } ggthemes/R/excel.R0000644000176200001440000001340715112676746013525 0ustar liggesusers#' Excel 97 ugly color palettes (discrete) #' #' The color palettes used in Microsoft Excel 97 (and up until Excel 2007). #' Use this for that classic ugly look and feel. For ironic purposes only. #' 3D bars and pies not included. Please never use this color palette. #' #' @param line If \code{TRUE}, use the palette for lines and points. Otherwise, #' use the palette for area. #' @family colour excel #' @export #' @example inst/examples/ex-excel_pal.R excel_pal <- function(line = TRUE) { if (line[[1]]) { manual_pal(ggthemes::ggthemes_data$excel$classic$line) } else { manual_pal(ggthemes::ggthemes_data$excel$classic$fill) } } #' Excel (current versions) color palettes (discrete) #' #' Color palettes used by current versions of Microsoft Office and Excel. #' #' @param theme The name of the Office theme or color theme #' (not to be confused with ggplot2 themes) from which to derive the color #' palette. Available themes include: #' \Sexpr[results=rd]{ggthemes:::rd_optlist(names(ggthemes::ggthemes_data$excel$themes))} #' @family colour excel #' @example inst/examples/ex-excel_new_pal.R #' @export excel_new_pal <- function(theme = "Office Theme") { allthemes <- ggthemes::ggthemes_data$excel$themes if (!theme %in% names(allthemes)) { stop("`theme` must be one of ", paste0(names(allthemes), collapse = ", ")) } values <- unname(allthemes[[theme]][["accents"]]) f <- manual_pal(values) attr(f, "max_n") <- length(values) f } #' Excel 97 ugly color scales #' #' The classic "ugly" color scales from Excel 97. #' #' @inheritParams excel_pal #' @inheritParams ggplot2::scale_colour_hue #' @family colour excel #' @rdname scale_excel #' @export #' @example inst/examples/ex-theme_excel.R scale_fill_excel <- function(...) { discrete_scale("fill", palette = excel_pal(line = FALSE), ...) } #' @export #' @rdname scale_excel scale_colour_excel <- function(...) { discrete_scale("colour", palette = excel_pal(line = TRUE), ...) } #' @export #' @rdname scale_excel scale_color_excel <- scale_colour_excel #' Excel (current versions) color scales #' #' Discrete color scales used in current versions of Microsoft Office and Excel. #' #' @inheritParams excel_new_pal #' @inheritParams ggplot2::scale_colour_hue #' @family colour excel #' @rdname scale_excel_new #' @example inst/examples/ex-theme_excel_new.R #' @export scale_colour_excel_new <- function(theme = "Office Theme", ...) { discrete_scale("colour", palette = excel_new_pal(theme), ...) } #' @export #' @rdname scale_excel_new scale_color_excel_new <- scale_colour_excel_new #' @export #' @rdname scale_excel_new scale_fill_excel_new <- function(theme = "Office Theme", ...) { discrete_scale("fill", palette = excel_new_pal(theme), ...) } #' ggplot theme based on old Excel plots #' #' Theme to replicate the ugly monstrosity that was the old #' gray-background Excel chart. Please never use this. #' This theme should be combined with the \code{\link{scale_colour_excel}()} #' color scale. #' #' @inheritParams ggplot2::theme_grey #' @param horizontal \code{logical}. Horizontal axis lines? #' @return An object of class \code{\link[ggplot2]{theme}()}. #' @export #' @family themes excel #' @example inst/examples/ex-theme_excel.R theme_excel <- function(base_size = 12, base_family = "", horizontal = TRUE) { gray <- "#C0C0C0" ret <- (theme_bw() + theme( panel.background = element_rect(fill = gray), panel.border = element_rect( colour = "black", linetype = 1 ), panel.grid.major = element_line(colour = "black"), panel.grid.minor = element_blank(), legend.key = element_rect(colour = NA), legend.background = element_rect(colour = "black", linetype = 1), strip.background = element_rect( fill = "white", colour = NA, linetype = 0 ) )) if (horizontal) { ret <- ret + theme(panel.grid.major.x = element_blank()) } else { ret <- ret + theme(panel.grid.major.y = element_blank()) } ret } #' ggplot theme similar to current Excel plot defaults #' #' Theme for ggplot2 that is similar to the default style of charts in #' current versions of Microsoft Excel. #' #' @inheritParams ggplot2::theme_grey #' @return An object of class \code{\link[ggplot2]{theme}()}. #' @export #' @family themes excel #' @example inst/examples/ex-theme_excel_new.R #' theme_excel_new <- function(base_size = 9, base_family = "sans") { colorlist <- list( lt_gray = "#D9D9D9", gray = "#BFBFBF", dk_gray = "#595959" ) theme_bw( base_family = base_family, base_size = base_size ) + theme( text = element_text( colour = colorlist$dk_gray, size = base_size ), line = element_line( linetype = "solid", colour = colorlist$gray ), rect = element_rect( linetype = 0, colour = "white" ), panel.grid.major = element_line( linetype = "solid", colour = colorlist$gray, linewidth = 0.75 * PT_TO_MM ), panel.grid.minor = element_blank(), axis.title = element_blank(), axis.text = element_text( colour = colorlist$dk_gray, size = 9 ), strip.background = element_rect( fill = NA ), strip.text = element_text( colour = colorlist$dk_gray, size = 9 ), axis.ticks = element_blank(), panel.background = element_blank(), panel.border = element_rect(colour = NA), title = element_text( face = "plain", hjust = 0.5 ), plot.title = element_text( size = 14, hjust = 0.5 ), plot.subtitle = element_blank(), legend.position = "bottom", legend.text = element_text( size = 9, colour = colorlist$dk_gray ), legend.title = element_blank(), ) } ggthemes/R/utils.R0000644000176200001440000000204715112461554013550 0ustar liggesusers#' Magic Number: Points to Millimeters #' @noRd PT_TO_MM <- 0.352778 # nolint: object_name_linter charopts <- function(x) { paste(sprintf("\\code{\"%s\"}", x), collapse = ", ") } # copied from ggplot2 "%||%" <- function(a, b) { if (!is.null(a)) a else b } # copied from ggplot2 ggname <- function(prefix, grob) { grob$name <- grid::grobName(grob, prefix) grob } rd_optlist <- function(x) { paste0("\\code{\"", as.character(x), "\"}", collapse = ", ") } check_pal_n <- function(n, max_n) { if (n > max_n) { warning( "This palette can handle a maximum of ", max_n, " values.", "You have supplied ", n, "." ) } else if (n < 0) { stop("`n` must be a non-negative integer.") } } #' Extract colors from ggthemes data #' #' @param path A character vector of the path in \code{ggthemes_data}. #' @param colors A character vector of color names. #' @noRd get_colors <- function(path, colors) { x <- dplyr::filter(ggthemes::ggthemes_data[[path]], .data$name %in% colors) x <- unname(x[["value"]]) } ggthemes/R/colorblind.R0000644000176200001440000000314415112676746014551 0ustar liggesusers#' Colorblind Color Palette (Discrete) and Scales #' #' An eight-color colorblind safe qualitative discrete palette. #' #' @rdname colorblind #' @references #' Chang, W. "\href{http://www.cookbook-r.com/Graphs/Colors_(ggplot2)/#a-colorblind-friendly-palette}{Cookbook for R}" #' #' \verb{https://jfly.iam.u-tokyo.ac.jp/color} #' #' @export #' @inheritParams ggplot2::scale_colour_hue #' @family colour #' @seealso The \pkg{dichromat} package, \code{\link[scales]{dichromat_pal}()}, #' and \code{\link{scale_color_tableau}()} for other colorblind palettes. #' @example inst/examples/ex-colorblind.R colorblind_pal <- function() { values <- unname(ggthemes::ggthemes_data[["colorblind"]][["value"]]) f <- manual_pal(values) attr(f, "max_n") <- length(values) f } #' @rdname colorblind #' @export colourblind_pal <- colorblind_pal #' @rdname colorblind #' @export scale_colour_colourblind <- function(...) { discrete_scale("colour", palette = colorblind_pal(), ...) } #' @rdname colorblind #' @export #' @importFrom lifecycle deprecate_soft scale_colour_colorblind <- function(...) { deprecate_soft("5.2.0", "scale_color_colorblind()") scale_colour_colourblind(...) } #' @rdname colorblind #' @export scale_color_colorblind <- scale_colour_colourblind #' @rdname colorblind #' @description #' `r lifecycle::badge("deprecated")` #' #' @export #' @importFrom lifecycle deprecate_soft scale_fill_colorblind <- function(...) { deprecate_soft("5.2.0", "scale_fill_colorblind()") discrete_scale("fill", palette = colorblind_pal(), ...) } #' @rdname colorblind #' @export scale_fill_colourblind <- scale_fill_colorblind ggthemes/R/canva.R0000644000176200001440000000442515112654506013503 0ustar liggesusers# nolint start #' 150 Color Palettes from Canva #' #' 150 four-color palettes by the #' \href{https://www.canva.com/learn/}{canva.com} design school. #' These palettes were derived from photos and "impactful websites". #' #' @format A named \code{list} of character vector. #' The names are the palette names. The values of the character vectors #' are hex colors, e.g. \code{"#f98866"}. #' #' @references #' \itemize{ #' \item{Janie Kliever, \href{https://www.canva.com/learn/100-color-combinations/}{100 Brilliant Color Combinations and How to Apply Them to Your Designs}, #' \emph{Canva.com}, June 20, 2015.} #' \item{Mary Stribley, \href{https://www.canva.com/learn/website-color-schemes/}{Website Color Schemes: The Palettes of 50 Visually Impactful Websites to Inspire You}, #' \emph{Canva.com}, January 26, 2016.} #' \item{Schwabish, Jonathan. #' \href{https://policyviz.com/2017/01/12/150-color-palettes-for-excel/}{150+ Color Palettes for Excel}, #' \emph{PolicyViz}, January 12, 2017.} #' } #' @example inst/examples/ex-canva_pal.R "canva_palettes" # nolint end #' Canva.com color palettes #' #' 150+ color palettes from canva.com. See \code{\link{canva_palettes}()}. #' #' @param palette Palette name. See the names of \code{\link{canva_palettes}()} #' for valid names. #' @return A function that takes a single value, the number of colors to use. #' @export #' @example inst/examples/ex-canva_pal.R canva_pal <- function(palette = "Fresh and bright") { if (!palette %in% names(ggthemes::canva_palettes)) { stop("Palette ", sQuote(palette), " not a valid name.", call. = FALSE) } manual_pal(unname(ggthemes::canva_palettes[[palette]])) } #' Discrete color scale using canva.com color palettes #' #' Color scale for canva.com color palettes described in #' \code{\link{canva_palettes}()}. #' #' @param ... Arguments passed to \code{\link[ggplot2]{discrete_scale}()}. #' @inheritParams canva_pal #' @export scale_colour_canva <- function(..., palette = "Fresh and bright") { discrete_scale("colour", palette = canva_pal(palette), ...) } #' @export #' @rdname scale_colour_canva scale_color_canva <- scale_colour_canva #' @export #' @rdname scale_colour_canva scale_fill_canva <- function(..., palette = "Fresh and bright") { discrete_scale("fill", palette = canva_pal(palette), ...) } ggthemes/R/base.R0000644000176200001440000003003315112461554013316 0ustar liggesusers#' Theme Base #' #' Theme similar to the default settings of the \sQuote{base} R graphics. #' #' @inheritParams ggplot2::theme_bw #' @export #' @family themes #' @example inst/examples/ex-theme_base.R theme_base <- function(base_size = 16, base_family = "") { theme_foundation() + theme( line = element_line( colour = "black", lineend = "round", linetype = "solid" ), rect = element_rect( fill = "white", colour = "black", linetype = "solid" ), text = element_text( colour = "black", face = "plain", family = base_family, size = base_size, vjust = 0.5, hjust = 0.5, lineheight = 1 ), panel.grid = element_blank(), strip.background = element_rect(colour = NA), legend.key = element_rect(colour = NA), title = element_text(size = rel(1)), plot.title = element_text(size = rel(1.2), face = "bold"), strip.text = element_text(), axis.ticks.length = unit(0.5, "lines") ) # TODO: get margins right } # Notes for generating a theme that uses par() for its values. # # $xlog # [1] TRUE # # $ylog # [1] TRUE # # Justification of strings in text, mtext, and title # # text = element_text(vjust = par()$adj, hjust = par$adj()) # $adj # [1] 0.5 # # $ann # [1] TRUE # # $ask # [1] FALSE # # Background. rect = element_rect(fill = par()$bg) # $bg # [1] "white" # # # Type of box drawn around the plot # # Which sides of the box to draw # $bty # [1] "o" # # # magnification of text and symbols relative to the default. ggplot uses base_size instead. # $cex # [1] 1 # # # mag of axis relative to current setting of cex # # axis.text = element_text(size = rel(par()$cex.axis)) # $cex.axis # [1] 1 # # mag of axis relative to current setting of cex # # axis.title = element_text(size = rel(par()$cex.lab)) # $cex.lab # [1] 1 # # # magnification of plot title relative to cex # # plot.title = element_text(size = rel(par()$cex.main)) # $cex.main # [1] 1.2 # # # ggplot does not have subtitles # # magnification of subtitle relative to cex # # strip.title = element_text(size = rel(par()$cex.sub)) # $cex.sub # [1] 1 # # $cin # # character size in inches # [1] 0.2000000 0.2666667 # # # default plotting color - not part of theme in gggplot # $col # [1] "black" # # # color for axis annotation # # # $col.axis # [1] "black" # # color for x and y labels # # axis.text = element_text(colour = par()$col.axis) # # # color for x and y labels # # axis.title = element_text(colour = par()$col.lab) # $col.lab # [1] "black" # # # color for main titles # # plot.title = element_text(colour = par()$col.main) # $col.main # [1] "black" # # # color for subtitles # # strip.title = element_text(colour = par()$col.sub) # $col.sub # [1] "black" # # # size of default character # $cra # [1] 14.4 19.2 # # # numerical values for how single characters rotated. Nothing similar in ggplot # $crt # [1] 0 # # # size of default characters in inches # # Is this base size? # $csi # [1] 0.2666667 # # # size of default character in user coord # # not relevant # $cxy # [1] 0.1859782 0.3665854 # # # device dimensions. not relevant # $din # [1] 11.236111 8.847222 # # # error reporting. not relevant # $err # [1] 0 # # # default font family # # base_family = par()$family # $family # [1] "" # # # color of foreground in plots. Used in axes and boxes around plots. # line = element_line(colour = par()$fg) # rect = element_rect(colour = par()$fg) # text = = element_text(colour = par()$fg) # $fg # [1] "black" # # # gives NDC coordinates of figure region in display device # $fig # [1] 0 1 0 1 # # # figure region dimensions in inches # # TODO: use for aspect ratio? # $fin # [1] 11.236111 8.847222 # # # which font to use for text. # # 1 = "plain" # # 2 = "bold" # # 3 = "italic" # # 4 = "bold.italic" # text = element_text(face = c("plain", "bold", "italic", "bold.italic")[par()$font]) # $font # [1] 1 # # # font to use for axis # axis.text = element_text(face = c("plain", "bold", "italic", "bold.italic")[par()$font]) # $font.axis # [1] 1 # # axis.title = element_text(face = c("plain", "bold", "italic", "bold.italic")[par()$font]) # $font.lab # [1] 1 # # axis.title = element_text(face = c("plain", "bold", "italic", "bold.italic")[par()$font]) # $font.main # [1] 2 # # strip.title = element_text(face = c("plain", "bold", "italic", "bold.italic")[par()$font]) # $font.sub # [1] 1 # # # default number of tick-marks in x and y, and label lenghth. # Not sure how that can be used # $lab # [1] 5 5 7 # # # style of axis labels. # # TODO: code that sets axis.text.x and axis.text.y angle according to its values. # $las # [1] 0 # # # line end style # line = element_line(lineend = par()$lend) # $lend # [1] "round" # # # line height # text = element_text(lineheight = par()$lheight * par()$??) # $lheight # [1] 1 # # # Line join style # # not sure how this is used in ggplot # $ljoin # [1] "round" # # # line mitre imit. Not used in ggplot2. # $lmitre # [1] 10 # # # Line type # # line = element_line(linetype = par()$lty) # $lty # [1] "solid" # # # Line width? # # Does this set size? ?? # # Maybe: line = element_line(size = par()$lwd) # $lwd # [1] 1 # # # margin size in inches # plot.margin = par()$mai # $mai # [1] 1.360000 1.093333 1.093333 0.560000 # # # Number of lines of margin. How is this different than mai? # $mar # [1] 5.1 4.1 4.1 2.1 # # $mex # [1] 1 # # # changes layout. ggplot uses facets. # $mfcol # [1] 1 1 # # # used for layout # $mfg # [1] 1 1 1 1 # # # changes layout. ggplot uses facets. # $mfrow # [1] 1 1 # # # margine line in mex units for axis title, axis labels, and axis.line # $mgp # [1] 3 1 0 # # # ignored in R # $mkh # [1] 0.001 # # # irrelevant to ggplot # $new # [1] FALSE # # # size of outer margins in lines of text # # TODO: what is this in ggplot # $oma # [1] 0 0 0 0 # # # regions inside out margins in NDC # # TODO: ? # $omd # [1] 0 1 0 1 # # # size of outer margins in inches # # TODO??? # $omi # [1] 0 0 0 0 # # # irrelevant # $page # [1] TRUE # # # dfault plotting symbol. not in themes. # $pch # [1] 1 # # # Plot dimensions in inches. # $pin # [1] 9.582778 6.393889 # # # Plot region as fractions of current figure region. # $plt # [1] 0.09730532 0.95016069 0.15372057 0.87642072 # # # point size of text (not symbols) # base_size = par()$ps # $ps # [1] 16 # # # type of region to be drawn. s = square. m = maximal. # # not sure how this maps to ggplot # $pty # [1] "m" # # # not used # $smo # [1] 1 # # # string rotation in degrees # # this is for text() plots not titles and labels # $srt # [1] 0 # # # length of tick marks # # use this to set axis.ticks.length # $tck # [1] NA # # # length of tick marks # $tcl # [1] -0.5 # # # extremes of user coord of plotting regsion # $usr # [1] -0.0381697 0.9924122 0.2730712 1.0279588 # # # used for generating ticks # $xaxp # [1] 1 10 3 # # # used to generate axis # $xaxs # [1] "r" # # # any values other than "n" implies plotting x axis. # $xaxt # [1] "s" # # $xpd # [1] FALSE # # $yaxp # [1] 2 10 -4 # # $yaxs # [1] "r" # # # any value other than "n" implies plotting y axis. # $yaxt # [1] "s" # # # positioning of text in margins by axis and mtext. # $ylbias # [1] 0.2 # #' Theme Par #' #' Theme which uses the current \sQuote{base} graphics parameter values #' from \code{\link[graphics]{par}()}. #' Not all \code{par()} parameters, are supported, and not all are relevant to #' \pkg{ggplot2} themes. #' #' Currently this theme uses the values of the parameters: #' \code{"code"}, "\code{"ps"}", \code{"code"} \code{"family"}, \code{"fg"}, #' \code{"bg"}, \code{"adj"}, \code{"font"}, \code{"cex.axis"}, #' \code{"cex.lab"}, \code{"cex.main"}, \code{"cex.sub"}, \code{"col.axis"}, #' \code{"col.lab"}, \code{"col.main"}, \code{"col.sub"}, \code{"font"}, #' \code{"font.axis"}, \code{"font.lab"}, \code{"font.main"}, #' \code{"font.sub"}, \code{"las"}, \code{"lend"}, #' \code{"lheight"}, \code{"lty"}, \code{"mar"}, \code{"ps"}, \code{"tcl"}, #' \code{"tck"}, \code{"xaxt"}, \code{"yaxt"}. #' #' This theme does not translate the base graphics perfectly, so the graphs #' produced by it will not be identical to those produced by base graphics, #' most notably in the spacing of the margins. #' #' @inheritParams ggplot2::theme_bw #' @export #' @family themes #' @example inst/examples/ex-theme_par.R theme_par <- function(base_size = par()$ps, base_family = par()$family) { faces <- c("plain", "bold", "italic", "bold.italic") half_line <- base_size / 2 thm <- theme_foundation() %+replace% theme( line = element_line( colour = par()$fg, linewidth = 0.5, lineend = par()$lend, linetype = par()$lty ), rect = element_rect( fill = par()$bg, colour = par()$fg, linewidth = 0.5, linetype = par()$lty ), text = element_text( colour = par()$fg, face = faces[par()$font], family = base_family, size = base_size, angle = 0, margin = margin(), vjust = par()$adj, hjust = par()$adj, lineheight = par()$lheight, debug = FALSE ), axis.title = element_text( size = rel(par()$cex.lab), colour = par()$col.lab, face = faces[par()$font.lab] ), axis.text = element_text( size = rel(par()$cex.axis), colour = par()$col.axis, face = faces[par()$font.axis] ), axis.text.x = element_text( margin = margin( t = 0.8 * half_line / 2, b = 0.8 * half_line / 2 ) ), axis.text.y = element_text( margin = margin( r = 0.8 * half_line / 2, l = 0.8 * half_line / 2 ) ), axis.ticks = element_line(colour = par()$fg), legend.title = element_text(colour = par()$fg), legend.text = element_text(colour = par()$fg), legend.spacing = unit(0.2, "cm"), legend.key = element_rect(colour = NA), panel.spacing = unit(half_line, "pt"), panel.spacing.x = NULL, panel.spacing.y = NULL, panel.background = element_rect(fill = NA, colour = par()$col), panel.grid = element_blank(), plot.background = element_rect(colour = NA), plot.margin = unit(par()$mar, "lines"), plot.title = element_text( size = rel(par()$cex.main), face = faces[par()$font.main], colour = par()$col.main, margin = margin(b = half_line * 1.2) ), strip.text = element_text( size = rel(par()$cex.sub), face = faces[par()$font.sub], colour = par()$col.sub ), strip.text.x = element_text( margin = margin( t = half_line, b = half_line ) ), strip.text.y = element_text( margin = margin( l = half_line, r = half_line ) ), strip.background = element_rect(colour = NA) ) las <- par()$las if (las == 0) { # parallel to axis thm <- thm + theme( axis.title.x = element_text(angle = 0), axis.title.y = element_text(angle = 90) ) } else if (las == 1) { # horizontal thm <- thm + theme( axis.title.x = element_text(angle = 0), axis.title.y = element_text(angle = 0) ) } else if (las == 2) { # perpendicular thm <- thm + theme( axis.title.x = element_text(angle = 90), axis.title.y = element_text(angle = 0) ) } else if (las == 3) { # vertical thm <- thm + theme( axis.title.x = element_text(angle = 90), axis.title.y = element_text(angle = 90) ) } # ticks if (!is.na(par()$tck)) { thm <- thm + theme(axis.ticks.length = unit(-par()$tck, "snpc")) } else { thm <- thm + theme(axis.ticks.length = unit(-par()$tcl, "lines")) } # plot x or y axis if (par()$xaxt == "n") { thm <- thm + theme( axis.line.x = element_blank(), axis.text.x = element_blank(), axis.ticks.x = element_blank() ) } if (par()$yaxt == "n") { thm <- thm + theme( axis.line.y = element_blank(), axis.text.y = element_blank(), axis.ticks.y = element_blank() ) } thm # TODO: get margins right } ggthemes/R/stat-fivenumber.R0000644000176200001440000000657515112461554015535 0ustar liggesusers#' Calculate components of a five-number summary #' #' The five number summary of a sample is the minimum, first quartile, #' median, third quartile, and maximum. #' #' @param na.rm If \code{FALSE} (the default), removes missing values with #' a warning. If \code{TRUE} silently removes missing values. #' @param probs Quantiles to use for the five number summary. #' @inheritParams ggplot2::stat_identity #' @return A data frame with additional columns: #' \item{width}{width of boxplot} #' \item{min}{minimum} #' \item{lower}{lower hinge, 25\% quantile} #' \item{middle}{median, 50\% quantile} #' \item{upper}{upper hinge, 75\% quantile} #' \item{max}{maximum} #' @seealso \code{\link[ggplot2]{stat_boxplot}()} #' @export stat_fivenumber <- function( mapping = NULL, data = NULL, geom = "boxplot", probs = c(0, 0.25, 0.5, 0.75, 1), na.rm = FALSE, # nolint: object_name_linter position = "identity", show.legend = NA, # nolint: object_name_linter inherit.aes = TRUE, # nolint: object_name_linter ... ) { layer( data = data, mapping = mapping, stat = StatFivenumber, geom = geom, position = position, show.legend = show.legend, inherit.aes = inherit.aes, params = list( probs = probs, na.rm = na.rm, ... ) ) } # From ggplot2:::NO_GROUP NO_GROUP <- -1 # nolint: object_name_linter # Copied from ggplot2:::has_groups has_groups <- function(data) { data$group[1L] != NO_GROUP } # nolint start: object_name_linter #' @export #' @format NULL #' @usage NULL #' @rdname stat_fivenumber #' @importFrom ggplot2 resolution remove_missing StatFivenumber <- ggplot2::ggproto( # nolint "StatFivenumber", ggplot2::Stat, # nolint: object_name_linter required_aes = "y", non_missing_aes = "weight", setup_data = function(data, params) { data$x <- data$x %||% 0 data <- remove_missing( data, na.rm = FALSE, vars = "x", name = "stat_fivenumber" ) data }, setup_params = function(data, params) { params$width <- params$width %||% (resolution(data$x %||% 0) * 0.75) if (is.double(data$x) && !has_groups(data) && any(data$x != data$x[1L])) { warning( "Continuous x aesthetic -- did you forget aes(group=...)?", call. = FALSE ) } params }, compute_group = function( data, scales, width = NULL, na.rm = FALSE, # nolint: object_name_linter probs = c(0, 0.25, 0.5, 0.75, 1) ) { if (length(probs) != 5) { stop("'probs' should contain 5 quantiles.") } probs <- sort(probs) if (!is.null(data$weight)) { if (!requireNamespace("quantreg", quietly = TRUE)) { stop("Package 'quantreg' is required for compute_group() with weights.") } mod <- quantreg::rq(y ~ 1, weights = weight, tau = probs, data = data) stats <- as.numeric(stats::coef(mod)) } else { stats <- as.numeric(quantile(data$y, probs = probs)) } names(stats) <- c("ymin", "lower", "middle", "upper", "ymax") df <- as.data.frame(as.list(stats)) if (is.null(data$weight)) { n <- sum(!is.na(data$y)) } else { # Sum up weights for non-NA positions of y and weight n <- sum(data$weight[!is.na(data$y) & !is.na(data$weight)]) } df$x <- if (is.factor(data$x)) data$x[1] else mean(range(data$x)) df$width <- width df$relvarwidth <- sqrt(n) df } ) # nolint end: object_name_linter ggthemes/R/theme-foundation.R0000644000176200001440000000277615112461554015667 0ustar liggesusers#' Foundation Theme #' #' This theme is designed to be a foundation from which to build new #' themes, and not meant to be used directly. \code{theme_foundation()} #' is a complete theme with only minimal number of elements defined. #' It is easier to create new themes by extending this one rather #' than \code{\link[ggplot2]{theme_gray}()} or \code{\link[ggplot2]{theme_bw}()}, #' because those themes define elements deep in the hierarchy. #' #' This theme takes \code{\link[ggplot2]{theme_gray}()} and sets all #' \code{colour} and \code{fill} values to \code{NULL}, except for the top-level #' elements (\code{line}, \code{rect}, and \code{title}), which have #' \code{colour = "black"}, and \code{fill = "white"}. This leaves the spacing #' and-non colour defaults of the default \pkg{ggplot2} themes in place. #' #' @inheritParams ggplot2::theme_grey #' #' @family themes #' @export #' @importFrom ggplot2 theme_grey theme_foundation <- function(base_size = 12, base_family = "") { thm <- theme_grey(base_size = base_size, base_family = base_family) for (i in names(thm)) { if ("colour" %in% names(thm[[i]])) { thm[[i]]["colour"] <- list(NULL) } if ("fill" %in% names(thm[[i]])) { thm[[i]]["fill"] <- list(NULL) } } thm + theme( panel.border = element_rect(fill = NA), legend.background = element_rect(colour = NA), line = element_line(colour = "black"), rect = element_rect(fill = "white", colour = "black"), text = element_text(colour = "black") ) } ggthemes/R/theme-solid.R0000644000176200001440000000133015112461554014614 0ustar liggesusers#' Theme with nothing other than a background color #' #' Theme that removes all non-geom elements (lines, text, etc), #' This theme is when only the geometric objects are desired. #' #' @param base_size Base font size. #' @param base_family Ignored, kept for consistency with \code{\link[ggplot2]{theme}()}. #' @param fill Background color of the plot. #' @family themes #' @example inst/examples/ex-theme_solid.R #' @export theme_solid <- function(base_size = 12, base_family = "", fill = NA) { theme_foundation() + theme( line = element_blank(), text = element_blank(), rect = element_rect( fill = fill, linewidth = base_size, colour = NA, linetype = 0 ) ) } ggthemes/R/stata.R0000644000176200001440000003115115112654506013523 0ustar liggesusers#' Stata color palettes (discrete) #' #' Stata color palettes. See Stata documentation for a description of #' the schemes, \url{https://www.stata.com/help.cgi?schemes}. #' #' All these palettes support up to 15 values. #' #' @param scheme \code{character}. One of \code{"s2color"}, #' \code{"s1rcolor"}, \code{"s1color"}, or \code{"mono"}. #' #' @export #' @family stata colour #' @example inst/examples/ex-stata_pal.R stata_pal <- function(scheme = "s2color") { colors <- ggthemes::ggthemes_data[["stata"]][["colors"]][["schemes"]][[scheme]] max_n <- length(colors) f <- manual_pal(colors[["value"]]) attr(f, "max_n") <- max_n f } #' Stata color scales #' #' See \code{\link{stata_pal}()} for details. #' #' @inheritParams stata_pal #' @inheritParams ggplot2::scale_colour_hue #' @family colour stata #' @rdname scale_stata #' @export scale_colour_stata <- function(scheme = "s2color", ...) { discrete_scale("colour", palette = stata_pal(scheme), ...) } #' @export #' @rdname scale_stata scale_fill_stata <- function(scheme = "s2color", ...) { discrete_scale("fill", palette = stata_pal(scheme), ...) } #' @export #' @rdname scale_stata scale_color_stata <- scale_colour_stata #' @importFrom ggplot2 margin theme_stata_base <- function(base_size = 11, base_family = "sans") { ## Sizes relsz <- sapply(as.numeric(stata_gsize), `/`, y = as.numeric(stata_gsize$medium)) names(relsz) <- names(stata_gsize) theme_foundation() + theme( line = element_line( linewidth = 0.5, linetype = 1, lineend = "butt", colour = "black" ), rect = element_rect( linewidth = 0.5, linetype = 1, fill = "white", colour = "black" ), text = element_text( family = base_family, face = "plain", colour = "black", size = base_size, hjust = 0.5, vjust = 1, angle = 0, lineheight = 1, margin = margin(), debug = FALSE ), title = element_text(), ## Axis axis.line = element_line(), axis.text = element_text(size = rel(relsz["medsmall"])), axis.text.x = element_text(vjust = 1), axis.text.y = element_text(angle = 90, vjust = 0.5), ## I cannot figure out how to get ggplot to do 2 levels of ticks axis.ticks = element_line(), axis.title = element_text(size = rel(relsz["medsmall"])), axis.title.x = element_text(), axis.title.y = element_text(angle = 90, vjust = 0), # axis.ticks.length = stata_gsize$tiny, # axis.ticks.margin = stata_gsize$half_tiny, axis.ticks.length = unit(4 / 11, "lines"), legend.background = element_rect( linetype = 1, linewidth = rel(stata_linewidths[["thin"]]) ), legend.spacing = unit(1.2 / 100, "npc"), legend.key = element_rect(linetype = 0), legend.key.size = unit(1.2, "lines"), legend.key.height = NULL, legend.key.width = NULL, legend.text = element_text(size = rel(relsz["medsmall"])), legend.text.align = NULL, ## See textboxstyle leg_title legend.title = element_text(size = rel(relsz["large"]), hjust = 0.5), legend.position = "bottom", legend.direction = NULL, legend.justification = "center", legend.box = "vertical", ## plotregion panel.background = element_rect(), panel.border = element_blank(), panel.grid.major = element_line(), panel.grid.minor = element_blank(), panel.grid.major.x = element_blank(), panel.spacing = unit(0.25, "lines"), ## textboxstyle bytitle bytitle strip.background = element_rect(linetype = 0), strip.text = element_text(size = rel(relsz["medlarge"])), strip.text.x = element_text(vjust = 0.5), strip.text.y = element_text(angle = -90), plot.background = element_rect(linetype = 0, colour = NA), # Stata subtitle plot.title = element_text( size = rel(relsz["large"]), hjust = 0.5, vjust = 1 ), # Stata subtitle plot.subtitle = element_text( size = rel(relsz["medium"]), hjust = 0.5, vjust = 1 ), # Stata note plot.caption = element_text( size = rel(relsz["small"]), hjust = 0, vjust = 0 ), plot.margin = unit(rep(0.035, 4), "npc") ) } #' @importFrom tibble deframe #' @importFrom stringr str_c theme_stata_colors <- function(scheme = "s2color") { stata_colors <- ggthemes::ggthemes_data[["stata"]][["colors"]][["names"]] stata_colors <- deframe(stata_colors[, c("name", "value")]) schemes <- c( "s2color", "s2mono", "s2manual", "sj", "s1color", "s1rcolor", "s1mono", "s1manual" ) if (scheme == "s2color") { color_plot <- stata_colors["ltbluishgray"] color_bg <- "white" color_fg <- "black" color_grid <- stata_colors["ltbluishgray"] # color_grid_major <- stata_colors["ltbluishgray"] fill_strip <- stata_colors["bluishgray"] color_strip <- NA color_title <- stata_colors["dknavy"] color_border <- NA legend_border <- "black" } else if (scheme %in% c("s2mono", "s2manual", "sj")) { color_plot <- stata_colors["gs15"] color_bg <- "white" color_fg <- "black" color_grid <- stata_colors["dimgray"] # color_grid_major <- stata_colors["dimgray"] fill_strip <- stata_colors["gs13"] color_strip <- NA color_title <- "black" color_border <- NA legend_border <- "black" } else if (scheme == "s1color") { color_plot <- "white" color_bg <- "white" color_fg <- "black" color_grid <- stata_colors["gs14"] fill_strip <- stata_colors["ltkhaki"] color_strip <- "black" color_title <- "black" color_border <- "black" legend_border <- "black" } else if (scheme == "s1rcolor") { color_plot <- "black" color_bg <- "black" color_fg <- "white" color_grid <- stata_colors["gs5"] fill_strip <- stata_colors["maroon"] color_strip <- "white" color_title <- "white" color_border <- "white" legend_border <- "black" } else if (scheme %in% c("s1mono", "s1manual")) { color_plot <- "white" color_bg <- "white" color_fg <- "black" color_grid <- stata_colors["gs14"] fill_strip <- stata_colors["gs13"] color_strip <- "black" color_title <- "black" color_border <- "black" legend_border <- "black" } else { stop(str_c( "`scheme` must be one of: ", str_c(sort(schemes), collapse = ","), ", " )) } theme( line = element_line(colour = color_fg, linetype = 1), rect = element_rect(fill = color_bg, colour = color_fg, linetype = 1), text = element_text(colour = color_fg), title = element_text(colour = color_title), axis.title = element_text(colour = color_fg), axis.ticks.x = element_line(colour = color_fg), axis.ticks.y = element_line(colour = color_fg), axis.text.x = element_text(colour = color_fg), axis.text.y = element_text(colour = color_fg), legend.key = element_rect(fill = color_bg, colour = NA, linetype = 0), legend.background = element_rect( linetype = 1, colour = legend_border ), panel.background = element_rect( fill = color_bg, colour = color_border, linetype = 1 ), panel.grid.major = element_line(colour = color_grid), strip.background = element_rect( fill = fill_strip, colour = color_strip, linetype = 1 ), plot.background = element_rect(fill = color_plot) ) } #' Themes based on Stata graph schemes #' #' @param scheme One of "s2color", "s2mono", "s1color", #' "s1rcolor", or "s1mono", "s2manual", #' "s1manual", or "sj" #' @inheritParams ggplot2::theme_grey #' @export #' @family themes stata #' #' @details These themes approximate Stata schemes using the features #' \pkg{ggplot2}. The graphical models of Stata and ggplot2 differ #' in various ways that make an exact replication impossible (or #' more difficult than it is worth). #' Some features in Stata schemes not in ggplot2: #' defaults for specific graph types, different levels of titles, #' captions and notes. These themes also adopt some of the ggplot2 #' defaults, and more effort was made to match the colors and sizes #' of major elements than in matching the margins. #' #' @references \url{https://www.stata.com/help.cgi?schemes} #' #' @example inst/examples/ex-theme_stata.R theme_stata <- function(base_size = 11, base_family = "sans", scheme = "s2color") { ## Sizes (theme_stata_base(base_size = eval(base_size), base_family = base_family) + theme_stata_colors(scheme = scheme)) } #' Stata shape palette (discrete) #' #' Shape palette based on the symbol palette in Stata used in scheme s2mono. #' This palette supports up to 10 values. #' #' @export #' @family shapes stata #' @seealso See \code{\link{scale_shape_stata}()} for examples. #' @importFrom purrr map_dfr map #' @importFrom tibble as_tibble #' @importFrom stringr str_replace stata_shape_pal <- function() { ## From s1mono, ignore small shapes shapes <- c( "circle", "diamond", "square", "triangle", "X", "plus", "circle_hollow", "diamond_hollow", "square_hollow", "triangle_hollow" ) statadata <- ggthemes::ggthemes_data[["stata"]][["shapes"]] shapenames <- tibble::deframe(statadata[, c("symbolstyle", "unicode_value")]) values <- as.hexmode(str_replace(shapenames[shapes], "U\\+", "")) values <- -as.integer(values) out <- manual_pal(values) attr(out, "max_n") <- length(shapes) out } #' Stata shape scale #' #' See \code{\link{stata_shape_pal}()} for details. #' #' @inheritParams ggplot2::scale_x_discrete #' @family shape stata #' @export #' @example inst/examples/ex-scale_shape_stata.R #' @importFrom ggplot2 discrete_scale scale_shape_stata <- function(...) { discrete_scale("shape", palette = stata_shape_pal(), ...) } #' Stata linetype palette (discrete) #' #' Linetype palette based on the linepattern scheme in Stata. #' This palette supports up to 15 values. #' #' @family linetype stata #' @export #' @seealso \code{\link{scale_linetype_stata}()} stata_linetype_pal <- function() { values <- ggthemes::ggthemes_data[["stata"]][["linetypes"]] f <- function(n) { values[seq_len(n)] } attr(f, "max_n") <- length(values) f } #' Stata linetype palette (discrete) #' #' See \code{\link{stata_linetype_pal}()} for details. #' #' @inheritParams ggplot2::scale_x_discrete #' @family linetype stata #' @export #' @example inst/examples/ex-scale_linetype_stata.R scale_linetype_stata <- function(...) { discrete_scale("linetype", palette = stata_linetype_pal(), ...) } ## Text sizes (from style definitions ado/base/style/gsize-*.style) stata_gsize <- lapply( c( default = 4.1667, full = 100, half = 50, half_tiny = 0.6944, huge = 6.944, large = 4.8611, medium = 3.8194, medlarge = 4.1667, medsmall = 3.4722, miniscule = 0.3472, quarter = 25, quarter_tiny = 0.34722, small = 2.777, tenth = 10, third = 33.33333333333, third_tiny = 0.46296, tiny = 1.3888, vhuge = 9.7222, vlarge = 5.5556, vsmall = 2.0833, zero = 0 ) / 100, unit, units = "npc" ) # Line width styles ado/base/style/linewidth-*.style # original values in npc * 100 # provide this in terms of relative values to medium stata_linewidths <- c( medium = 0.3, medthick = 0.45, medthin = 0.25, none = 0, thick = 0.8, thin = 0.2, vthick = 1.4, thin = 0.15, vvthick = 2.6, vvthin = 0.01, vvvthick = 4.2, vvvthin = .000001 ) / 0.3 # Stata margin styles # From ado/base/style/margin-*.style stata_margins <- list( bargraph = c(3.5, 3.5, 3.5, 0), bottom = c(0, 0, 0, 3), ebargraph = c(1.5, 1.5, 1.5, 0), esubhead = c(2.2, 2.2, 0, 4), horiz_bargraph = c(0, 3.5, 3.5, 3.5), large = c(8, 8, 8, 8), left = c(3, 0, 0, 0), medium = c(3.5, 3.5, 3.5, 3.5), medlarge = c(5, 5, 5, 5), medsmall = c(2.2, 2.2, 2.2, 2.2), right = c(0, 3, 0, 0), sides = c(3.5, 3.5, 0, 0), small = rep(1.2, 4), tiny = rep(0.3, 4), top_bottom = c(0, 0, 3.5, 3.5), top = c(0, 0, 3, 0), vlarge = rep(12, 4), vsmall = rep(0.6, 4), zero = rep(0, 4) ) # s1mono line # linepattern p1line solid # linepattern p2line dash # linepattern p3line vshortdash # linepattern p4line longdash_dot # linepattern p5line longdash # linepattern p6line dash_dot # linepattern p7line dot # linepattern p8line shortdash_dot # linepattern p9line tight_dot # linepattern p10line dash_dot_dot # linepattern p11line longdash_shortdash # linepattern p12line dash_3dot # linepattern p13line longdash_dot_dot # linepattern p14line shortdash_dot_dot # linepattern p15line longdash_3dot ggthemes/R/shapes.R0000644000176200001440000001400015112654506013664 0ustar liggesusers# nolint start #' Shape palette from Cleveland "Elements of Graphing Data" (discrete). #' #' Shape palettes for overlapping and non-overlapping points. #' #' @param overlap \code{logical} Use the scale for overlapping points? #' #' @note #' #' In the \emph{Elements of Graphing Data}, W.S. Cleveland suggests #' two shape palettes for scatter plots: one for overlapping data and #' another for non-overlapping data. The symbols for overlapping data #' relies on pattern discrimination, while the symbols for #' non-overlapping data vary the amount of fill. This palette #' attempts to create these palettes. However, I found that these #' were hard to replicate. Using the R shapes and unicode fonts: the #' symbols can vary in size, they are dependent of the fonts used, #' and there does not exist a unicode symbol for a circle with a #' vertical line. If someone can improve this palette, please let me #' know. #' #' Following Tremmel (1995), I replace the circle with a vertical #' line with an encircled plus sign. #' #' The palette \code{cleveland_shape_pal()} supports up to five values. #' #' @example inst/examples/ex-cleveland_shape_pal.R #' @references #' Cleveland WS. \emph{The Elements of Graphing Data}. Revised Edition. Hobart Press, Summit, NJ, 1994, pp. 154-164, 234-239. #' #' Tremmel, Lothar, (1995) "The Visual Separability of Plotting Symbols in Scatterplots", \emph{Journal of Computational and Graphical Statistics}, #' \url{https://www.jstor.org/stable/1390760} #' #' @family shapes #' @export # nolint end cleveland_shape_pal <- function(overlap = TRUE) { shapes <- if (overlap[[1]]) { ggthemes::ggthemes_data$shapes$cleveland$overlap$pch } else { ggthemes::ggthemes_data$shapes$cleveland$default$pch } max_n <- length(shapes) f <- manual_pal(shapes) attr(f, "max_n") <- max_n f } #' Shape scales from Cleveland "Elements of Graphing Data" #' #' @inheritParams ggplot2::scale_x_discrete #' @inheritParams cleveland_shape_pal #' @export #' #' @family shapes #' @seealso \code{\link{cleveland_shape_pal}()} for a description of the palette. #' @references #' Cleveland WS. The Elements of Graphing Data. Revised Edition. #' Hobart Press, Summit, NJ, 1994, pp. 154-164, 234-239. #' scale_shape_cleveland <- function(overlap = TRUE, ...) { discrete_scale("shape", palette = cleveland_shape_pal(overlap), ...) } #' Filled Circle Shape palette (discrete) #' #' @description #' `r lifecycle::badge("deprecated")` #' #' This function was deprecated because unicode glyphs used for the circles #' vary in size, making them unusable for plotting. #' #' Shape palette with circles varying by amount of fill. This uses #' the set of 3 circle fill values in Lewandowsky and Spence (1989): #' solid, hollow, half-filled, with two additional fill amounts: #' three-quarters, and one-quarter. #' #' This palette supports up to five values. #' #' @references #' Lewandowsky, Stephan and Ian Spence (1989) #' "Discriminating Strata in Scatterplots", Journal of #' the American Statistical Association, \url{https://www.jstor.org/stable/2289649} #' @family shapes #' @importFrom lifecycle deprecate_soft #' @export circlefill_shape_pal <- function() { deprecate_soft("5.0.0", "circlefill_shape_pal()") values <- ggthemes::ggthemes_data[["shapes"]][["circlefill"]][["pch"]] max_n <- length(values) f <- manual_pal(values) attr(f, "max_n") <- max_n f } #' Filled Circle Shape palette (discrete) #' #' @description #' `r lifecycle::badge("deprecated")` #' #' @export #' #' @inheritParams ggplot2::scale_x_discrete #' @family shapes #' @importFrom lifecycle deprecate_soft #' @seealso #' \code{\link{circlefill_shape_pal}()} for a description of the palette. scale_shape_circlefill <- function(...) { deprecate_soft("5.0.0", "scale_shape_circlefill()") discrete_scale("shape", palette = circlefill_shape_pal(), ...) } #' Shape palette from Tremmel (1995) (discrete) #' #' Based on experiments Tremmel (1995) suggests the following shape palettes: #' #' If two symbols, then use a solid circle and plus sign. #' #' If three symbols, then use a solid circle, empty circle, and an #' empty triangle. However, that set of symbols does not satisfy the #' requirement that each symbol should differ from the other symbols #' in the same feature dimension. A set of three symbols that #' satisfies this is a circle (curvature), plus sign (number of #' terminators), triangle (line orientation). #' #' This palette supports up to three values. #' If more than three groups of data, then separate the groups into #' different plots. #' #' @param overlap use an empty circle instead of a solid circle when #' \code{n == 2}. #' @param alt If \code{TRUE}, then when \code{n == 3}, #' use a solid circle, plus sign and #' empty triangle. Otherwise use a solid circle, empty circle, and empty #' triangle. #' @family shapes #' @references #' Tremmel, Lothar, (1995) "The Visual Separability of Plotting Symbols in Scatterplots" #' Journal of Computational and Graphical Statistics, #' \url{https://www.jstor.org/stable/1390760} #' @export tremmel_shape_pal <- function(overlap = FALSE, alt = FALSE) { max_n <- 3L palettes <- ggthemes::ggthemes_data$shapes$tremmel f <- function(n) { check_pal_n(n, max_n) if (n == 1) { palettes[["1"]]$pch } else if (n == 2) { if (overlap[[1]]) { palettes[["2-overlap"]]$pch } else { palettes[["2"]]$pch } } else if (n >= 3) { out <- rep(NA_integer_, n) out[1:3] <- if (alt) { palettes[["3-alternate"]]$pch } else { palettes[["3"]]$pch } out } } attr(f, "max_n") <- max_n f } #' Shape scales from Tremmel (1995) #' #' @inheritParams ggplot2::scale_x_discrete #' @inheritParams tremmel_shape_pal #' #' @seealso \code{\link{tremmel_shape_pal}()} for a description of the palette. #' @example inst/examples/ex-scale_shape_tremmel.R #' @family shapes #' @export scale_shape_tremmel <- function(overlap = FALSE, alt = TRUE, ...) { discrete_scale( "shape", palette = tremmel_shape_pal( overlap = overlap, alt = alt ), ... ) } ggthemes/R/banking.R0000644000176200001440000000766415112461554014033 0ustar liggesusers## 45 degrees in radians FORTY_FIVE <- base::pi / 4 # nolint: object_name_linter calc_slopes <- function(x, y, cull = FALSE) { dx <- abs(diff(x)) dy <- diff(y) s <- dy / dx touse <- if (cull) { abs(s) > 0 & is.finite(s) } else { is.finite(s) } list( s = s[touse], dx = dx[touse], dy = dy[touse], Rx = diff(range(x)), Ry = diff(range(y)) ) } #' Bank Slopes to 45 degrees #' #' Calculate the optimal aspect ratio of a line graph by banking the #' slopes to 45 degrees as suggested by W.S. Cleveland. This #' maximizes the ability to visually differentiate differences in #' slope. This function will calculate the optimal aspect ratio for #' a line plot using any of the methods described in Herr and Argwala #' (2006). In their review of the methods they suggest using median #' absolute slope banking ('ms'), which produces aspect ratios which #' are generally the median of the various methods provided here. #' #' @param x x values #' @param y y values #' @param cull \code{logical}. Remove all slopes of 0 or \code{Inf}. #' @param method One of 'ms' (Median Absolute Slope) or 'as' (Average #' Absolute Slope). Other options are no longer supported, and will use #' 'ms' instead with a warning. #' @param weight No longer used, but kept for backwards compatibility. #' @param ... No longer used, but kept for backwards compatibility. #' #' @section Methods: #' #' As written, all of these methods calculate the aspect ratio (x #' /y), but \code{bank_slopes} will return (y / x) to be compatible #' with \code{link[ggplot2]{coord_fixed()}}. #' #' \strong{Median Absolute Slopes Banking} #' #' Let the aspect ratio be \eqn{\alpha = \frac{w}{h}}{alpha = w / h} #' then the median absolute slop banking is the #' \eqn{\alpha}{alpha} such that, #' \deqn{ #' median \left| \frac{s_i}{\alpha} \right| = 1 #' }{ #' median |s_i / alpha| #' } #' #' Let \eqn{R_z = z_{max} - z_{min}}{R_z = z_max - z_min} for \eqn{z = x, y}, #' and \eqn{M = median \| s_i \|}{M = median | s_i |}. Then, #' \deqn{ #' \alpha = M \frac{R_x}{R_y} #' }{ #' alpha = M R_x / R_y #' } #' #' \strong{Average Absolute Slope Banking} #' #' Let the aspect ratio be \eqn{\alpha = \frac{w}{h}}{alpha = w/h}. #' then the mean absolute slope banking is the #' \eqn{\alpha}{alpha} such that, #' \deqn{ #' mean \left| \frac{s_i}{\alpha} \right| = 1 #' }{ #' mean |s_i / alpha| = 1 #' } #' #' Heer and Agrawala (2006) and Cleveland discuss several other methods #' including average (weighted) orientation, and global and local orientation resolution. #' These are no longer implemented in this function. In general, either the #' median or average absolute slopes will produce reasonable results without #' requiring optimization. #' #' @references #' Cleveland, W. S., M. E. McGill, and R. McGill. The Shape Parameter #' of a Two-Variable Graph. Journal of the American Statistical #' Association, 83:289-300, 1988 #' #' Heer, Jeffrey and Maneesh Agrawala, 2006. 'Multi-Scale Banking to 45' #' IEEE Transactions On Visualization And Computer Graphics. #' #' Cleveland, W. S. 1993. 'A Model for Studying Display Methods of Statistical #' Graphs.' Journal of Computational and Statistical Graphics. #' #' Cleveland, W. S. 1994. The Elements of Graphing Data, Revised Edition. #' #' @return \code{numeric} The aspect ratio (x , y). #' #' @seealso \code{\link[lattice]{banking}()} #' @export #' @example inst/examples/ex-bank_slopes.R bank_slopes <- function(x, y, cull = FALSE, weight = NULL, method = c("ms", "as"), ...) { method <- match.arg(method) fun <- bank_slopes_funs[[method]] # Heer produces functions with the target alpha = w/h = x/y xyrat <- fun(calc_slopes(x, y, cull = cull), ...) # but coord_fixed ratio is the aspect ratio y/x 1 / xyrat } bank_slopes_funs <- list() bank_slopes_funs[["ms"]] <- function(slopes, ...) { median(abs(slopes$s)) * slopes$Rx / slopes$Ry } bank_slopes_funs[["as"]] <- function(slopes, ...) { mean(abs(slopes$s)) * slopes$Rx / slopes$Ry } ggthemes/R/pander.R0000644000176200001440000001767715112654506013701 0ustar liggesusers#' A ggplot theme originated from the pander package #' #' The \pkg{pander} ships with a default theme when the 'unify plots' option is #' enabled via \code{panderOptions}, which is now also available outside of \pkg{pander} internals, like \code{evals}, #' \code{eval.msgs} or \code{Pandoc.brew}. #' @inheritParams ggplot2::theme_bw #' @param nomargin suppress the white space around the plot (boolean) #' @param ff font family, like \code{sans}. Deprecated: use \code{base_family} instead. #' @param fc font color (name or hexa code) #' @param fs font size (integer). Deprecated: use \code{base_size} instead. #' @param gM major grid (boolean) #' @param gm minor grid (boolean) #' @param gc grid color (name or hexa code) #' @param gl grid line type (\code{lty}) #' @param boxes to render a border around the plot or not #' @param bc background color (name or hexa code) #' @param pc panel background color (name or hexa code) #' @param lp legend position #' @param axis axis angle as defined in \code{par(les)} #' @export #' @example inst/examples/ex-theme_pander.R theme_pander <- function( base_size = 12, # nolint: cyclocomp_linter base_family = "sans", nomargin = TRUE, ff = NULL, fc = "black", fs = NULL, gM = TRUE, # nolint: object_name_linter gm = TRUE, gc = "grey", gl = "dashed", boxes = FALSE, bc = "white", pc = "transparent", lp = "right", axis = 1 ) { if (hasArg(ff)) { base_family <- ff warning("Argument `ff` deprecated. Use `base_family` instead.") } if (hasArg(fs)) { base_size <- fs warning("Argument `fs` deprecated. Use `base_size` instead.") } if (requireNamespace("pander", quietly = TRUE)) { if (missing(nomargin)) { nomargin <- pander::panderOptions("graph.nomargin") } if (missing(base_family)) { base_family <- pander::panderOptions("graph.fontfamily") } if (missing(fc)) { fc <- pander::panderOptions("graph.fontcolor") } if (missing(base_size)) { base_size <- pander::panderOptions("graph.fontsize") } if (missing(gM)) { gM <- pander::panderOptions("graph.grid") # nolint: object_name_linter } if (missing(gm)) { gm <- pander::panderOptions("graph.grid.minor") } if (missing(gc)) { gc <- pander::panderOptions("graph.grid.color") } if (missing(gl)) { gl <- pander::panderOptions("graph.grid.lty") } if (missing(boxes)) { boxes <- pander::panderOptions("graph.boxes") } if (missing(bc)) { bc <- pander::panderOptions("graph.background") } if (missing(pc)) { pc <- pander::panderOptions("graph.panel.background") } if (missing(lp)) { lp <- pander::panderOptions("graph.legend.position") } if (missing(axis)) { axis <- pander::panderOptions("graph.axis.angle") } } ## DRY tc <- ifelse(pc == "transparent", bc, pc) # 'transparent' color ## default colors, font and legend position res <- theme( text = element_text(family = base_family), plot.background = element_rect(fill = bc, colour = NA), panel.grid = element_line( colour = gc, linewidth = 0.2, linetype = gl ), panel.grid.minor = element_line(linewidth = 0.1), axis.ticks = element_line( colour = gc, linewidth = 0.2 ), plot.title = element_text( colour = fc, face = "bold", size = base_size * 1.2 ), axis.text = element_text( colour = fc, face = "plain", size = base_size * 0.8 ), legend.text = element_text( colour = fc, face = "plain", size = base_size * 0.8 ), legend.title = element_text( colour = fc, face = "italic", size = base_size ), axis.title.x = element_text( colour = fc, face = "plain", size = base_size ), strip.text.x = element_text( colour = fc, face = "plain", size = base_size ), axis.title.y = element_text( colour = fc, face = "plain", size = base_size, angle = 90 ), strip.text.y = element_text( colour = fc, face = "plain", size = base_size, angle = -90 ), legend.key = element_rect(colour = gc, fill = "transparent"), strip.background = element_rect( colour = gc, fill = "transparent" ), panel.border = element_rect(fill = NA, colour = gc), panel.background = element_rect(fill = pc, colour = gc), legend.position = lp ) ## disable box(es) around the plot if (!isTRUE(boxes)) { res <- res + theme( legend.key = element_rect( colour = "transparent", fill = "transparent" ), strip.background = element_rect( colour = "transparent", fill = "transparent" ), panel.border = element_rect( fill = NA, colour = tc ), panel.background = element_rect( fill = pc, colour = tc ) ) } ## disable grid if (!isTRUE(gM)) { res <- res + theme( panel.grid = element_blank(), panel.grid.major = element_blank(), panel.grid.minor = element_blank() ) } ## disable minor grid if (!isTRUE(gm)) { res <- res + theme(panel.grid.minor = element_blank()) } ## margin if (nomargin) { res <- res + theme(plot.margin = unit(c(0.1, 0.1, 0.1, 0), "lines")) } ## axis angle (TODO: DRY with ifelse in the default color etc. section) if (axis == 0) { res <- res + theme( axis.text.y = element_text( colour = fc, family = base_family, face = "plain", size = base_size * 0.8, angle = 90 ) ) } if (axis == 2) { res <- res + theme( axis.text.x = element_text( colour = fc, family = base_family, face = "plain", size = base_size * 0.8, angle = 90, hjust = 1 ) ) } if (axis == 3) { res <- res + theme( axis.text.y = element_text( colour = fc, family = base_family, face = "plain", size = base_size * 0.8, angle = 90 ), axis.text.x = element_text( colour = fc, family = base_family, face = "plain", size = base_size * 0.8, angle = 90, hjust = 1 ) ) } res } #' Color palette from the pander package #' #' The \pkg{pander} ships with a default colorblind and printer-friendly #' color palette borrowed from \verb{https://jfly.iam.u-tokyo.ac.jp/color/}. #' #' @param n number of colors. This palette supports up to eight colors. #' @param random_order if the palette should be reordered randomly before #' rendering each plot to get colorful images #' @export #' @family colour pander #' @example inst/examples/ex-palette_pander.R palette_pander <- function(n, random_order = FALSE) { ## default (colorblind and printer-friendly) colors cols <- c( "#56B4E9", "#009E73", "#F0E442", "#0072B2", "#D55E00", "#CC79A7", "#999999", "#E69F00" ) if (requireNamespace("pander", quietly = TRUE)) { cols <- pander::panderOptions("graph.colors") } if (isTRUE(random_order)) { cols <- sample(cols) } if (length(cols) < n) { cols <- rep(cols, length.out = n) } cols[1:n] } #' Color scale from the pander package #' #' The \pkg{pander} ships with a default colorblind and printer-friendly color #' palette borrowed from \verb{https://jfly.iam.u-tokyo.ac.jp/color/}. #' @inheritParams ggplot2::scale_colour_hue #' @inheritParams palette_pander #' @family colour pander #' @rdname scale_pander #' @seealso \code{\link{theme_pander}()} #' @export scale_color_pander <- function(...) { discrete_scale("colour", palette = palette_pander, ...) } #' @rdname scale_pander #' @export scale_colour_pander <- scale_color_pander #' @rdname scale_pander #' @export scale_fill_pander <- function(...) { discrete_scale("fill", palette = palette_pander, ...) } ggthemes/R/calc.R0000644000176200001440000001030115112654506013303 0ustar liggesusers#' Theme Calc #' #' Theme similar to the default settings of LibreOffice Calc charts. #' #' @inheritParams ggplot2::theme_grey #' @export #' @family themes calc #' @example inst/examples/ex-theme_calc.R theme_calc <- function(base_size = 10, base_family = "sans") { (theme_foundation(base_family = base_family, base_size = base_size) + theme( rect = element_rect(colour = "black", fill = "white"), text = element_text(colour = "black"), line = element_line(colour = "gray70"), # 13 pt plot.title = element_text(size = rel(1.3)), legend.title = element_text(size = rel(1)), legend.text = element_text(size = rel(1)), axis.title = element_text(size = rel(1)), axis.line = element_blank(), panel.border = element_rect(fill = NA, colour = "gray70"), panel.grid.minor = element_blank(), panel.grid.major.x = element_blank(), legend.position = "right", legend.direction = "vertical", legend.background = element_rect(colour = NA), legend.key = element_rect(colour = NA) )) } #' Calc color palette (discrete) #' #' Color palettes from LibreOffice Calc. #' This palette has 12 values. #' #' @family colour calc #' @export #' @example inst/examples/ex-calc_pal.R calc_pal <- function() { values <- unname(ggthemes::ggthemes_data$calc$colors[["value"]]) max_n <- length(values) f <- manual_pal(values) attr(f, "max_n") <- max_n f } #' LibreOffice Calc color scales #' #' Color scales from LibreOffice Calc. #' #' @inheritParams ggplot2::scale_colour_hue #' @family colour calc #' @rdname scale_calc #' @export #' @seealso See \code{\link{theme_calc}()} for examples. scale_fill_calc <- function(...) { discrete_scale("fill", palette = calc_pal(), ...) } #' @export #' @rdname scale_calc scale_colour_calc <- function(...) { discrete_scale("colour", palette = calc_pal(), ...) } #' @export #' @rdname scale_calc scale_color_calc <- scale_colour_calc #' Calc shape palette (discrete) #' #' Shape palette based on the shapes used in LibreOffice Calc. #' #' @export #' @family shapes calc #' @example inst/examples/ex-calc_shape_pal.R calc_shape_pal <- function() { values <- ggthemes::ggthemes_data$calc$shapes[["pch"]] f <- manual_pal(unname(values)) attr(f, "max_n") <- length(values) f } #' Calc shape scale #' #' See \code{\link{calc_shape_pal}()} for details. #' #' @inheritParams ggplot2::scale_x_discrete #' @family shapes calc #' @export #' @seealso \code{\link{theme_calc}()} for examples. scale_shape_calc <- function(...) { discrete_scale("shape", palette = calc_shape_pal(), ...) } # PT_TO_MM <- 0.352778 # # # Default font is Liberation Sans # theme_libre <- function(base_size = 10, # base_family = "sans") { # colorlist <- list(gray = "#B3B3B3") # theme_bw(base_family = base_family, # base_size = base_size) + # theme( # text = element_text(colour = "black"), # line = element_line( # linetype = "solid", # colour = colorlist$gray, # size = 0.5 * PT_TO_MM # ), # rect = element_rect( # fill = "white", # linetype = "solid", # colour = colorlist$gray, # size = 0.5 * PT_TO_MM # ), # panel.grid.major = element_line( # linetype = "solid", # colour = colorlist$gray, # size = 0.5 * PT_TO_MM # ), # axis.title = element_text( # size = 9 # ), # axis.text = element_text( # size = 10 # ), # axis.ticks = element_line( # colour = colorlist$gray # ), # panel.background = element_rect( # colour = colorlist$gray, # size = 0.5 * PT_TO_MM # ), # title = element_text( # face = "plain", # hjust = 0.5 # ), # plot.title = element_text( # size = 13, # hjust = 0.5 # ), # plot.subtitle = element_text( # size = 11, # hjust = 0.5 # ), # panel.grid.major.x = element_blank(), # panel.grid.minor = element_blank(), # legend.position = "right", # strip.background = element_blank(), # strip.text = element_text(size = 9), # legend.title = element_text( # size = 9 # ) # ) # } ggthemes/R/solarized.R0000644000176200001440000001267015112654506014410 0ustar liggesusers#' Base colors for Solarized light and dark themes #' #' @param light \code{logical} Light theme? #' #' Creates the base colors for a light or dark solarized theme. See #' \url{https://ethanschoonover.com/solarized/}. This function is a port #' of the CSS style example. #' #' @keywords internal solarized_rebase <- function(light = TRUE) { basecolors <- deframe(ggthemes::ggthemes_data$solarized$Base) rebase <- if (light) { basecolors[c(paste0("base", 3:0), paste0("base0", 0:3))] } else { basecolors[c(paste0("base0", 3:0), paste0("base", 0:3))] } names(rebase) <- paste0("rebase", c(paste0("0", 3:0), 0:3)) rebase } solarized_accent_list <- function() { paste0("\\code{\"", names(ggthemes::ggthemes_data$solarized$Accents), "\"}", collapse = ",") } #' Solarized color palette (discrete) #' #' Qualitative color palate based on the Ethan Schoonover's Solarized #' palette, \url{https://ethanschoonover.com/solarized/}. This palette supports #' up to seven values. #' #' @note #' #' For a given starting color and number of colors in the palette, #' the other colors are the combination of colors that maximizes the #' total Euclidean distance between colors in L*a*b space. #' #' @param accent \code{character} Starting color. #' @export #' @family solarized colour #' @example inst/examples/ex-solarized_pal.R solarized_pal <- function(accent = "blue") { palettes <- ggthemes::ggthemes_data[["solarized"]][["palettes"]][[accent]] max_n <- length(palettes) f <- function(n) { check_pal_n(n, max_n) palettes[[n]] } attr(f, "max_n") <- f f } #' Solarized color scales #' #' See \code{\link{solarized_pal}()} for details. #' #' @inheritParams ggplot2::scale_colour_hue #' @inheritParams solarized_pal #' @family colour scales #' @rdname scale_solarized #' @family solarized colour #' @export #' @example inst/examples/ex-scale_solarized.R scale_fill_solarized <- function(accent = "blue", ...) { discrete_scale("fill", palette = solarized_pal(accent), ...) } #' @export #' @rdname scale_solarized scale_colour_solarized <- function(accent = "blue", ...) { discrete_scale("colour", palette = solarized_pal(accent), ...) } #' @export #' @rdname scale_solarized scale_color_solarized <- scale_colour_solarized #' ggplot color themes based on the Solarized palette #' #' See \url{https://ethanschoonover.com/solarized/} for a #' description of the Solarized palette. #' #' Plots made with this theme integrate seamlessly with the Solarized #' Beamer color theme. #' \url{https://github.com/jrnold/beamercolorthemesolarized}. #' There are two variations: \code{theme_solarized} is similar to #' to \code{\link[ggplot2]{theme_bw}()}, while \code{theme_solarized_2()} is #' similar to \code{\link[ggplot2]{theme_gray}()}. #' #' @rdname theme_solarized #' @inheritParams ggplot2::theme_grey #' @param light \code{logical}. Light or dark theme? #' @export #' @family themes solarized #' @example inst/examples/ex-theme_solarized.R theme_solarized <- function(base_size = 12, base_family = "", light = TRUE) { rebase <- solarized_rebase(light) ret <- (theme_bw(base_size = base_size, base_family = base_family) + theme( text = element_text(colour = rebase["rebase01"]), title = element_text(color = rebase["rebase0"]), line = element_line(color = rebase["rebase01"]), rect = element_rect( fill = rebase["rebase03"], color = rebase["rebase01"] ), axis.ticks = element_line(color = rebase["rebase01"]), axis.line = element_line( color = rebase["rebase01"], linetype = 1 ), legend.background = element_rect(fill = NULL, color = NA), legend.key = element_blank(), panel.background = element_rect( fill = rebase["rebase03"], colour = rebase["rebase01"] ), panel.border = element_blank(), panel.grid = element_line(color = rebase["rebase02"]), panel.grid.major = element_line(color = rebase["rebase02"]), panel.grid.minor = element_line(color = rebase["rebase02"]), plot.background = element_rect( fill = NULL, colour = NA, linetype = 0 ) )) ret } #' @rdname theme_solarized #' @export theme_solarized_2 <- function(base_size = 12, base_family = "", light = TRUE) { rebase <- solarized_rebase(light) ret <- (theme_foundation(base_size = base_size, base_family = base_family) + theme( text = element_text(color = rebase["rebase01"]), title = element_text(color = rebase["rebase0"]), line = element_line(color = rebase["rebase01"]), rect = element_rect( fill = rebase["rebase03"], color = NA ), axis.ticks = element_line(color = rebase["rebase01"]), axis.line = element_line( color = rebase["reabase01"], linetype = 1 ), axis.title.y = element_text(angle = 90), legend.background = element_rect(fill = NULL, color = NA), legend.key = element_rect( fill = NULL, colour = NULL, linetype = 0 ), panel.background = element_rect( fill = rebase["rebase02"], colour = NA ), panel.border = element_blank(), panel.grid = element_line(color = rebase["rebase03"]), panel.grid.major = element_line(color = rebase["rebase03"]), panel.grid.minor = element_line( color = rebase["rebase03"], linewidth = 0.25 ), plot.background = element_rect( fill = NULL, colour = NULL, linetype = 0 ) )) ret } ggthemes/R/clean.R0000644000176200001440000000357415112676746013513 0ustar liggesusers#' @title Clean ggplot theme #' #' @description Clean ggplot theme with no panel background, black axis lines #' and grey fill colour for chart elements. #' #' @author Konrad Zdeb \email{name.surname@@me.com} #' #' @param base_size Base font size. #' @param base_family Base font family. #' #' @family themes #' @export #' #' @example inst/examples/ex-theme_clean.R theme_clean <- function(base_size = 12, base_family = "sans") { (theme_foundation( base_size = base_size, base_family = base_family ) + theme( axis.line.x = element_line( colour = "black", linewidth = 0.5, linetype = "solid" ), axis.line.y = element_line( colour = "black", linewidth = 0.5, linetype = "solid" ), axis.text = element_text(size = ceiling(base_size * 0.7), colour = "black"), axis.title = element_text(size = ceiling(base_size * 0.8)), panel.grid.minor = element_blank(), panel.grid.major.y = element_line(colour = "gray", linetype = "dotted"), panel.grid.major.x = element_blank(), panel.background = element_blank(), panel.border = element_blank(), strip.background = element_rect(linetype = 0), strip.text = element_text(), strip.text.x = element_text(vjust = 0.5), strip.text.y = element_text(angle = -90), legend.text = element_text(size = ceiling(base_size * 0.9), family = "sans"), legend.title = element_text( size = base_size, face = "bold", family = "sans" ), legend.position = "right", legend.key = element_rect(fill = "white", colour = NA), legend.background = element_rect(colour = "black"), plot.background = element_rect(colour = "black"), plot.title = element_text(size = ceiling(base_size * 1.1), face = "bold"), plot.subtitle = element_text(size = ceiling(base_size * 1.05)) )) } ggthemes/R/theme-map.R0000644000176200001440000000144415112366564014272 0ustar liggesusers#' Clean theme for maps #' #' A clean theme that is good for displaying maps from #' \code{\link[ggplot2]{geom_map}()}. #' #' @inheritParams ggplot2::theme_grey #' @example inst/examples/ex-theme_map.R #' @export #' @importFrom ggplot2 %+replace% theme_map <- function(base_size = 9, base_family = "") { theme_bw(base_size = base_size, base_family = base_family) %+replace% theme( axis.line = element_blank(), axis.text = element_blank(), axis.ticks = element_blank(), axis.title = element_blank(), panel.background = element_blank(), panel.border = element_blank(), panel.grid = element_blank(), panel.spacing = unit(0, "lines"), plot.background = element_blank(), legend.justification = c(0, 0), legend.position = c(0, 0) ) } ggthemes/R/scales.R0000644000176200001440000001516015112461554013662 0ustar liggesusers# Much of this code is copied from the labeling package. # nolint start: object_name_linter .simplicity <- function(q, Q, j, lmin, lmax, lstep) { eps <- .Machine$double.eps * 100 n <- length(Q) i <- match(q, Q)[1] v <- ifelse( (lmin %% lstep < eps || lstep - (lmin %% lstep) < eps) && lmin <= 0 && lmax >= 0, 1, 0 ) 1 - (i - 1) / (n - 1) - j + v } .simplicity_max <- function(q, Q, j) { n <- length(Q) i <- match(q, Q)[1] v <- 1 1 - (i - 1) / (n - 1) - j + v } .coverage <- function(dmin, dmax, lmin, lmax) { range <- dmax - dmin 1 - 0.5 * ((dmax - lmax)^2 + (dmin - lmin)^2) / ((0.1 * range)^2) } .coverage_max <- function(dmin, dmax, span) { range <- dmax - dmin if (span > range) { half <- (span - range) / 2 1 - 0.5 * (half^2 + half^2) / ((0.1 * range)^2) } else { 1 } } .density <- function(k, m, dmin, dmax, lmin, lmax) { r <- (k - 1) / (lmax - lmin) rt <- (m - 1) / (max(lmax, dmax) - min(dmin, lmin)) 2 - max(r / rt, rt / r) } .density_max <- function(k, m) { if (k >= m) { 2 - (k - 1) / (m - 1) } else { 1 } } .legibility <- function(lmin, lmax, lstep) { 1 } #' Pretty axis breaks inclusive of extreme values #' #' This function returns pretty axis breaks that always include the extreme values of the data. #' This works by calling the extended Wilkinson algorithm (Talbot et al., 2010), constrained to solutions #' interior to the data range. #' Then, the minimum and maximum labels are moved to the minimum and maximum of the data #' range. #' #' \code{extended_range_breaks} implements the algorithm and returns the break values. #' \code{scales_extended_range_breaks} uses the conventions of the \pkg{scales} package, and returns a function. #' #' @param dmin minimum of the data range #' @param dmax maximum of the data range #' @param n desired number of breaks #' @param Q set of nice numbers #' @param w weights applied to the four optimization components (simplicity, coverage, density, and legibility) #' @return For \code{extended_range_breaks}, the vector of axis label locations. #' For \code{scales_extended_range_breaks}, a function which takes a single argument, a vector of data, and returns #' the vector of axis label locations. #' @references #' Talbot, J., Lin, S., Hanrahan, P. (2010) An Extension of Wilkinson's Algorithm #' for Positioning Tick Labels on Axes, InfoVis 2010. #' @author Justin Talbot \email{jtalbot@@stanford.edu}, Jeffrey B. Arnold, Baptiste Auguie #' @rdname range_breaks #' @export extended_range_breaks_ <- function( dmin, dmax, n = 5, # nolint: cyclocomp_linter Q = c(1, 5, 2, 2.5, 4, 3), # nolint: object_name_linter w = c(0.25, 0.2, 0.5, 0.05) ) { eps <- .Machine$double.eps * 100 if (dmin > dmax) { temp <- dmin dmin <- dmax dmax <- temp } if (dmax - dmin < eps) { # if the range is near the floating point limit, # let seq generate some equally spaced steps. return(seq(from = dmin, to = dmax, length.out = n)) } n <- length(Q) best <- list() best$score <- -2 j <- 1 while (j < Inf) { for (q in Q) { sm <- .simplicity_max(q, Q, j) if ((w[1] * sm + w[2] + w[3] + w[4]) < best$score) { j <- Inf break } k <- 2 while (k < Inf) { dm <- .density_max(k, n) if ((w[1] * sm + w[2] + w[3] * dm + w[4]) < best$score) { break } delta <- (dmax - dmin) / (k + 1) / j / q z <- ceiling(log(delta, base = 10)) while (z < Inf) { step <- j * q * 10^z cm <- .coverage_max(dmin, dmax, step * (k - 1)) if ((w[1] * sm + w[2] * cm + w[3] * dm + w[4]) < best$score) { break } min_start <- floor(dmax / (step)) * j - (k - 1) * j max_start <- ceiling(dmin / (step)) * j if (min_start > max_start) { z <- z + 1 next } for (start in min_start:max_start) { lmin <- start * (step / j) lmax <- lmin + step * (k - 1) lstep <- step s <- .simplicity(q, Q, j, lmin, lmax, lstep) c <- .coverage(dmin, dmax, lmin, lmax) g <- .density(k, n, dmin, dmax, lmin, lmax) l <- .legibility(lmin, lmax, lstep) score <- w[1] * s + w[2] * c + w[3] * g + w[4] * l if ( score > best$score && lmin >= dmin && lmax <= dmax ) { best <- list( lmin = lmin, lmax = lmax, lstep = lstep, score = score ) } } z <- z + 1 } k <- k + 1 } } j <- j + 1 } breaks <- seq(from = best$lmin, to = best$lmax, by = best$lstep) if (length(breaks) >= 2) { breaks[1] <- dmin breaks[length(breaks)] <- dmax } breaks } #' @rdname range_breaks #' @param ... other arguments passed to \code{extended_range_breaks_()} #' @return A function which returns breaks given a vector. #' @export extended_range_breaks <- function(n = 5, ...) { function(x) { extended_range_breaks_(min(x), max(x), n, ...) } } # from scales package zero_range <- function(x, tol = 1000 * .Machine$double.eps) { if (length(x) == 1) { return(TRUE) } if (length(x) != 2) { stop("x must be length 1 or 2") } if (any(is.na(x))) { return(NA) } if (x[1] == x[2]) { return(TRUE) } if (all(is.infinite(x))) { return(FALSE) } m <- min(abs(x)) if (m == 0) { return(FALSE) } abs((x[1] - x[2]) / m) < tol } # from scales package precision <- function(x) { rng <- range(x, na.rm = TRUE) span <- if (zero_range(rng)) { abs(rng[1]) } else { diff(rng) } 10^floor(log10(span)) } # nolint start #' Format numbers with automatic number of digits #' #' @param x A numeric vector to format #' @param ... Parameters passed to \code{\link{format}()} #' #' @references Josh O'Brien, #' \url{https://stackoverflow.com/questions/23169938/select-accuracy-to-display-additional-axis-breaks/23171858#23171858}. #' @author Josh O'Brien, Baptise Auguie, Jeffrey B. 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export(ptol_pal) export(scale_color_calc) export(scale_color_canva) export(scale_color_colorblind) export(scale_color_continuous_tableau) export(scale_color_economist) export(scale_color_excel) export(scale_color_excel_new) export(scale_color_few) export(scale_color_fivethirtyeight) export(scale_color_gdocs) export(scale_color_gradient2_tableau) export(scale_color_gradient_tableau) export(scale_color_hc) export(scale_color_pander) export(scale_color_ptol) export(scale_color_solarized) export(scale_color_stata) export(scale_color_tableau) export(scale_color_wsj) export(scale_colour_calc) export(scale_colour_canva) export(scale_colour_colorblind) export(scale_colour_colourblind) export(scale_colour_economist) export(scale_colour_excel) export(scale_colour_excel_new) export(scale_colour_few) export(scale_colour_fivethirtyeight) export(scale_colour_gdocs) export(scale_colour_gradient2_tableau) export(scale_colour_gradient_tableau) export(scale_colour_hc) export(scale_colour_pander) export(scale_colour_ptol) export(scale_colour_solarized) export(scale_colour_stata) export(scale_colour_tableau) export(scale_colour_wsj) export(scale_fill_calc) export(scale_fill_canva) export(scale_fill_colorblind) export(scale_fill_colourblind) export(scale_fill_continuous_tableau) export(scale_fill_economist) export(scale_fill_excel) export(scale_fill_excel_new) export(scale_fill_few) export(scale_fill_fivethirtyeight) export(scale_fill_gdocs) export(scale_fill_gradient2_tableau) export(scale_fill_gradient_tableau) export(scale_fill_hc) export(scale_fill_pander) export(scale_fill_ptol) export(scale_fill_solarized) export(scale_fill_stata) export(scale_fill_tableau) export(scale_fill_wsj) export(scale_linetype_stata) export(scale_shape_calc) export(scale_shape_circlefill) export(scale_shape_cleveland) export(scale_shape_few) export(scale_shape_stata) export(scale_shape_tableau) export(scale_shape_tremmel) export(show_linetypes) export(show_shapes) export(smart_digits) export(smart_digits_format) export(solarized_pal) export(stat_fivenumber) export(stata_linetype_pal) export(stata_pal) export(stata_shape_pal) export(tableau_color_pal) export(tableau_div_gradient_pal) export(tableau_gradient_pal) export(tableau_seq_gradient_pal) export(tableau_shape_pal) export(theme_base) export(theme_calc) export(theme_clean) export(theme_economist) export(theme_economist_white) export(theme_excel) export(theme_excel_new) export(theme_few) export(theme_fivethirtyeight) export(theme_foundation) export(theme_gdocs) export(theme_hc) export(theme_igray) export(theme_map) export(theme_pander) export(theme_par) export(theme_solarized) export(theme_solarized_2) export(theme_solid) export(theme_stata) export(theme_tufte) export(theme_wsj) export(tremmel_shape_pal) export(wsj_pal) importFrom(ggplot2,"%+replace%") importFrom(ggplot2,Geom) importFrom(ggplot2,GeomBoxplot) importFrom(ggplot2,GeomPoint) importFrom(ggplot2,GeomSegment) importFrom(ggplot2,aes) importFrom(ggplot2,continuous_scale) importFrom(ggplot2,discrete_scale) importFrom(ggplot2,draw_key_path) importFrom(ggplot2,draw_key_pointrange) importFrom(ggplot2,element_blank) importFrom(ggplot2,element_line) importFrom(ggplot2,element_rect) importFrom(ggplot2,element_text) importFrom(ggplot2,ggplot) importFrom(ggplot2,ggproto) importFrom(ggplot2,ggproto_parent) importFrom(ggplot2,layer) importFrom(ggplot2,margin) importFrom(ggplot2,rel) importFrom(ggplot2,remove_missing) importFrom(ggplot2,resolution) importFrom(ggplot2,theme) importFrom(ggplot2,theme_bw) importFrom(ggplot2,theme_gray) importFrom(ggplot2,theme_grey) importFrom(graphics,abline) importFrom(graphics,axis) importFrom(graphics,par) importFrom(graphics,plot) importFrom(graphics,points) importFrom(graphics,text) importFrom(grid,gList) importFrom(grid,gTree) importFrom(grid,gpar) importFrom(grid,grobName) importFrom(grid,grobTree) importFrom(grid,segmentsGrob) importFrom(grid,unit) importFrom(lifecycle,deprecate_soft) importFrom(methods,as) importFrom(methods,hasArg) importFrom(purrr,map) importFrom(purrr,map_dfr) importFrom(scales,alpha) importFrom(scales,div_gradient_pal) importFrom(scales,manual_pal) importFrom(scales,seq_gradient_pal) importFrom(stringr,str_c) importFrom(stringr,str_replace) importFrom(tibble,as_tibble) importFrom(tibble,deframe) ggthemes/NEWS.md0000644000176200001440000002407215112703707013163 0ustar liggesusers# ggthemes 5.2.0 - Renamed `scale_colour_colorblind()` to `scale_colour_colourblind()` (#180). - Updated `theme_solarized` to fix `key.background` color. - Bugfix: Fix documentation cross-links (#186) - Bugfix: Removed usage of deprecated ggplot functions # ggthemes 5.1.0 - Updated `scale_color_gdocs` and `gdocs_pal` to use current colors. Palette extended from 10 to 24 colors. - Updated tests to be compatible with ggplot 3.5.0 (#153) - Removed `legend.title.align` and `legend.text.align` from themes. (#153) # ggthemes 5.0.0 - Deprecate `circlefill_shape_pal` and `scale_shape_circlefill` - Bugfix: Fix failing CRAN tests. Shape scales and palettes could fail if glyphs unavailable in graphics devices. - Bugfix: Add alias to `ggthemes-package` - Add `quantreg` to suggested packages # ggthemes 4.2.3 - Fixing URLs for CRAN submission again. # ggthemes 4.2.2 - Fixing URLs for CRAN submission. # ggthemes 4.2.1 - Conditionally use the vdiffr package in tests so it complies with suggested package policy (#124) - Fix error in `expect_equal` functions (#123) - Fix errors in `geom_tufteboxplot` and `stat_fivenumber` due to missing imported objects from ggplot2 (#117, #121) - Fix text labels in top axis in `theme_economist` (#115) - Update documentation on `geom_rangeframe`; it should be used with `coord_cartesian(clip="off")`. (#120) # ggthemes 4.2.0 - Add `theme_clean()` (Thanks @konradzdeb, #105) - Add `direction` argument to `scale_color_tableau()` and `scale_fill_tableau()` (Thanks @vadimus202, #112) # ggthemes 4.1.1 - Fix bugs in `geom_rangeframe` and `geom_tufteboxplot` caused by failing to import `alpha`. (Thanks @flying-sheep, #110) # ggthemes 4.1.0 - Add `type` argument to `scale_color_tableau` so that sequential and diverging palettes can be used in discrete scales. (Thanks @onesandzeroes, #108) - Fix colors in "Purple" and "Blue-Teal" palettes in `tableau_color_pal()`. (Thanks @leonawicz, #109) # ggthemes 4.0.1 - Fix bugs in `tableau_color_pal()`. Wrong colors in "Tableau 20" theme (Thanks @friskin, #95), and incorrect order of classic color palettes (Thanks @luca-scr, #96). - Fix fatal bug in `theme_solarized()` and `solarized_rebase()`. (Thanks @mdodrill-usgs, #97) # ggthemes 4.0.0 - Added palettes and based on current versions of Excel: `excel_pal_new()`, `scale_colour_excel_new()`, and `scale_fill_excel_new()`. Excel '97 based scales keep the same names. - Added `theme_excel_new()` which is based on the chart defaults of current versions of Excel. - Added Tableau 10 palettes and renamed old palettes in `tableau_color_pal()`, `scale_color_tableau()`, `scale_fill_tableau()`, and others. The continuous sequential and diverging palettes are improved by including more intermediate steps. - Updated `theme_gdocs()` to current look. - Updated `scale_color_gdocs()` and `fill_color_gdocs()` to current color. - Added `scale_shapes_few()` and `few_shape_pal()` with a shape scale and palette from Stephen Few's "Show Me the Numbers". - Removed `stata` argument from `scale_*_economist()` and `theme_economist()`. - Changed the format of the `ggthemes_data` object. - Changed behavior of `few_pal()`. If `n = 1`, use gray. If `n > 1` use non-gray colors. - Changed `tremmel_shape_scale()` to use `alt = TRUE` by default - Deprecated `tremmel_shape_scale()` argument `n3alt`. Use the `alt` argument instead. - Added a pkgdown site. - Removed vignette. Move all examples to man pages. - Bugfix: Fix `theme_few()` (#91) - Bugfix: Update themes to be consistent with `ggplot>=3.2.0` # ggthemes 3.5.0 - Bugfix: Fix RGB colors in `scale_color_few()`, `scale_fill_few()`, and `few_pal()` (#89, @bpbraun) - Update documentation to include mentions of the maximum number of values that discrete scales support (#85) # ggthemes 3.4.2 - Bugfix: Fix example code in `theme_economist()`. Thanks @carlganz #81. - Remove suggests dependencies: `reshape2`, `plyr`, `tidyverse` # ggthemes 3.4.1 - Bugfix: Resolve duplicate palette names in `canva_palettes()`. Thanks @Eluvias (#78) # ggthemes 3.4.0 - Add color palettes from canva.com: `canva_palettes()`, `canva_pal()`, `scale_colour_canva()`. - Use `NEWS.md` instead of `NEWS` - Update Economist examples to put y-axis on the right side. # ggthemes 3.3.0 - Update themes to changes in ggplot 2.1.0.9000. Thanks @juliasilge (#71) - `tufte_boxplot()` uses `position="dodge"` by default. Thanks @jgellar (#68) - Bugfix: Fix errors in `geom_rangeframe()` in new version of ggplot2. Thanks @coulmont (#70) # ggthemes 3.2.0 - Bugfix: In function `bank_slopes()`, remove methods `ao`, `gor`, and `lor`. These methods were not producing reliable results, and should not produce results much different than `ms` or `as`. If used, they will produce a warning, and `ms` will be used instead. (#68) # ggthemes 3.1.0 - Add `ptol_pal()`, `scale_colour_ptol()`, and `scale_file_ptol()` based on Paul Tol's qualitative color palettes. Thanks @jmlondon. (#65) # ggthemes 3.0.4 - Fix panel.grid.major.y colors for `theme_hc()`. Thanks @flying-sheep! (#64) # ggthemes 3.0.3 - Bugfix: remove `lintr` tests that broke with new `testthat`. # ggthemes 3.0.2 - Bugfix: export `ggthemes_data()` # ggthemes 3.0.1 - Bugfix: Remove border around legends in `theme_gdocs()`. Thanks SandyMuspratt! Pull request #53. - Bugfix: Remove border around legends in `theme_calc()`. - Bugfix: Add colour and fill values to `theme_foundation()`. This restores its behavior to version 2.2.1. Fixes Issue #56. # ggthemes 3.0.0 - For `geom_tufteboxplot()` and `GeomTufteboxplot`, option `median.type` supports only `line` and `point` options. Added option `whisker.type` which allows for whiskers to be specified by lines or points. - Changed default stat for `geom_tufteboxplot()` to `stat_fivenumber()`. - Added `theme_base()` and `theme_par()` - Removed `scale_(x|y)_tufte()`. See issue #49 - `theme_foundation()` rewritten. Removed `use_sizes` argument. - Import rather than depend on `ggplot2` - Update geoms, scales, and themes to ggplot >= 2.0.0 # ggthemes 2.2.1 - bugfix: fix R CMD check notes due to change in how it handles non-base default packages: - bugfix: fix bad URLs # ggthemes 2.2.0 - Added `theme_map()` from @hrbrmstr # ggthemes 2.1.1 - bugfix: use title case in package title; refer to ggplot2 in title - bugfix: fix non-escaped URLs in colorblind.R - bugfix: fix broken URL in few.R - bugfix: remove non-ascii characters in shapes.R - bugfix: use `requireNamespace()` instead of `require()` # ggthemes 2.1.0 - New theme and scale based on Highcharts JS: `scale_*_hc()`, `theme_hc()`. Thanks jbkunst! # ggthemes 2.0.0 - New options for `geom_tufteboxplot()`. `median.type` takes values "point", "box", or "line". Option `usebox` is no longer supported, and equivalent to `median.type="box"`. Thanks weitzner! Issue #13, PR #19. - All theme functions have `base_size` and `base_family` as first two arguments. This affects `theme_economist_white()`, `theme_excel()`, `theme_pander()`, `theme_solid()`, and `theme_tufte()`. Thanks ptoche! Issue #25. - `theme_pander()`: Options `ff` and `fs` are deprecated; use `base_family` and `base_size` options instead, respectively. # ggthemes 1.9.0 - added vignette - added themes / scales based on factory defaults of pander package: `pander_palette()`, `scale_color_pander()`, `scale_fill_pander()`, `theme_pander()`. Thanks daroczig. - added additional fill and gradient color scales: `scale_fill_fivethirtyeight()`, `scale_colour_gradient_tableau()`, `scale_fill_gradient_tableau()`, `scale_fill_continuous_tableau()`, `scale_colour_gradient2_tableau()`, `scale_fill_gradient2_tableau()`. Thanks bowerth. # ggthemes 1.8.0 - added themes and color scale from fivethirtyeight.com: `theme_fivethirtyeight()`, `fivethirtyeight_pal()`, `scale_color_fivethirtyeight()` # ggthemes 1.7.0 - added a new breaks algorithm: `scales_extended_range_breaks()`, `extended_range_breaks()` - added scales which implement the breaks algorithm: `scale_x_tufte()`, `scale_y_tufte()` - added new label format: `smart_digits()`, `smart_digits_format()` # ggthemes 1.6.1 - fix bug in `theme_wsj()` (issue #17) # ggthemes 1.6.0 - added `theme_solid()` # ggthemes 1.5.1 - fix failures in R CMD check # ggthemes 1.5.0 - added alternative Solarized theme: `theme_solarized_2()` - `theme_solarized()`: adjusted the colors - added LibreOffic Calc themes and palettes: `theme_calc()`, `calc_pal()`, `scale_fill_calc()`, `scale_colour_calc()`, `cacl_shape_pal()`, `scale_shape_calc()` - added Google Docs themes and palettes: `theme_gdocs()`, `gdocs_pal()`, `scale_fill_gdocs()`, `scale_colour_gdocs()` - fixed some examples # ggthemes 1.4.0 - fix bug in default palettes of `scale_colour_excel()` and `scale_fill_excel()`. # ggthemes 1.3.4 - added Tableau sequential colour palettes: `tableau_seq_gradient_pal()`, `scale_colour_gradient_tableau()`, `scale_fill_gradient_tableau()`. - added Tableau diverging colour palettes: `tableau_div_gradient_pal()`, `scale_colour_gradient2_tableau()`, `scale_fill_gradient2_tableau()`. - `tableau_colour_pal()`: added palette "cyclical # ggthemes 1.3.3 - fix issue #11: error with fonts and `theme_wsj()` in Windows # ggthemes 1.3.1 - `bank_slopes()` returns y/x aspect ratio to be compatible with `coord_fixed()` - improved documentation # ggthemes 1.3.0 - renamed `theme_excel2003()` to `theme_excel()` - replace `scale_fill_excel2003()` and `scale_fill_excel10()` with `scale_fill_excel()` - replaced `scale_colour_excel2003()` and `scale_colour_excel10()` with `scale_colour_excel()` - replaced `excel2003_pal()` and `excel10_pal()` with `excel_pal()` - renamed `theme_base()` to `theme_foundation()` # ggthemes 1.2.0 - added colorblind scales: `colorblind_pal()`, `scale_*_colorblind()`. # ggthemes 1.1.0 - added Wall Street Journal themes, palettes, scales: `theme_wsj()`, `wsj_pal()`, `scale_colour_wsj()`, and `scale_fill_wsj()`. - added function `bank_slopes()` : methods for determining the optimal slope ratio. - added `theme-foundation()`: a theme designed to be easy to extend into new themes. - added NEWS file ggthemes/inst/0000755000176200001440000000000015112461554013036 5ustar liggesusersggthemes/inst/examples/0000755000176200001440000000000015112676746014667 5ustar liggesusersggthemes/inst/examples/ex-stata_pal.R0000644000176200001440000000023515112366564017366 0ustar liggesuserslibrary("scales") show_col(stata_pal("s2color")(15)) show_col(stata_pal("s1rcolor")(15)) show_col(stata_pal("s1color")(15)) show_col(stata_pal("mono")(15)) ggthemes/inst/examples/ex-tableau_shape_pal.R0000644000176200001440000000014115112366564021043 0ustar liggesusers\dontrun{ # need to set a font containing these values show_shapes(tableau_shape_pal()(5)) } ggthemes/inst/examples/ex-theme_igray.R0000644000176200001440000000021215112366564017706 0ustar liggesuserslibrary("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) p + theme_igray() ggthemes/inst/examples/ex-show_shapes.R0000644000176200001440000000013215112366564017735 0ustar liggesuserslibrary("scales") show_shapes(shape_pal()(5)) show_shapes(shape_pal()(3), labels = TRUE) ggthemes/inst/examples/ex-scale_linetype_stata.R0000644000176200001440000000054215112366564021613 0ustar liggesusersrequire("ggplot2") if (require("tidyr") && require("dplyr")) { rescale01 <- function(x) { (x - min(x)) / diff(range(x)) } gather(economics, variable, value, -date) %>% group_by(variable) %>% mutate(value = rescale01(value)) %>% ggplot(aes(x = date, y = value, linetype = variable)) + geom_line() + scale_linetype_stata() } ggthemes/inst/examples/ex-theme_excel.R0000644000176200001440000000047715112366564017710 0ustar liggesuserslibrary("ggplot2") # Line and scatter plot colors p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) p + theme_excel() + scale_colour_excel() # Bar plot (area/fill) colors ggplot(mpg, aes(x = class, fill = drv)) + geom_bar() + scale_fill_excel() + theme_excel() ggthemes/inst/examples/ex-canva_pal.R0000644000176200001440000000126715112461554017343 0ustar liggesusersrequire("ggplot2") require("tibble") if (require("purrr") && require("scales") && require("dplyr")) { canva_df <- map2_df( canva_palettes, names(canva_palettes), ~ tibble( colors = .x, .id = seq_along(colors), palette = .y ) ) ggplot( canva_df, aes( y = palette, x = .id, fill = colors ) ) + geom_raster() + scale_fill_identity(guide = FALSE) + theme_minimal() + theme( panel.grid = element_blank(), axis.text.x = element_blank() ) + labs(x = "", y = "") show_col(canva_pal("Fresh and bright")(4)) show_col(canva_pal("Cool blues")(4)) show_col(canva_pal("Modern and crisp")(4)) } ggthemes/inst/examples/ex-theme_solid.R0000644000176200001440000000030015112366564017703 0ustar liggesuserslibrary("ggplot2") ggplot(mtcars, aes(wt, mpg)) + geom_point() + theme_solid(fill = "white") ggplot(mtcars, aes(wt, mpg)) + geom_point(color = "white") + theme_solid(fill = "black") ggthemes/inst/examples/ex-scale_colour_gradient_tableau.R0000644000176200001440000000061515112461554023437 0ustar liggesuserslibrary("ggplot2") df <- data.frame( x = runif(100), y = runif(100), z1 = rnorm(100), z2 = abs(rnorm(100)) ) p <- ggplot(df, aes(x, y)) + geom_point(aes(colour = z2)) + theme_igray() palettes <- ggthemes_data[["tableau"]][["color-palettes"]][["ordered-sequential"]] for (palette in head(names(palettes))) { print(p + scale_colour_gradient_tableau(palette) + ggtitle(palette)) } ggthemes/inst/examples/ex-theme_stata.R0000644000176200001440000000107515112461554017712 0ustar liggesuserslibrary("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) + labs( title = "Graphs by car type", x = "Weight (lbs.)", y = "MPG" ) # s2color p + theme_stata() + scale_colour_stata("s2color") # s2mono p + theme_stata(scheme = "s2mono") + scale_colour_stata("mono") # s1color p + theme_stata(scheme = "s2color") + scale_colour_stata("s1color") # s1rcolor p + theme_stata(scheme = "s1rcolor") + scale_colour_stata("s1rcolor") # s1mono p + theme_stata(scheme = "s1mono") + scale_colour_stata("mono") ggthemes/inst/examples/ex-gdocs_pal.R0000644000176200001440000000005515112366564017351 0ustar liggesuserslibrary("scales") show_col(gdocs_pal()(24)) ggthemes/inst/examples/ex-theme_map.R0000644000176200001440000000051415112461554017350 0ustar liggesuserslibrary("maps") library("ggplot2") us <- fortify(map_data("state"), region = "region") gg <- ggplot() + geom_map( data = us, map = us, aes(x = long, y = lat, map_id = region, group = group), fill = "white", color = "black", size = 0.25 ) + coord_map("albers", lat0 = 39, lat1 = 45) + theme_map() gg ggthemes/inst/examples/ex-scale_colour_excel_classic.R0000644000176200001440000000041015112366564022744 0ustar liggesuserslibrary("ggplot2") ggplot(mtcars, aes(x = wt, y = mpg, colour = factor(gear))) + geom_point() + ggtitle("Cars") + theme_excel() + scale_colour_excel() ggplot(diamonds, aes(x = clarity, fill = cut)) + geom_bar() + scale_fill_excel() + theme_excel() ggthemes/inst/examples/ex-geom_tufteboxplot.R0000644000176200001440000000141515112461554021160 0ustar liggesuserslibrary("ggplot2") p <- ggplot(mtcars, aes(factor(cyl), mpg)) # with a point for the median and lines for whiskers p + geom_tufteboxplot() # with a line for the interquartile range and points for whiskers p + geom_tufteboxplot(median.type = "line", whisker.type = "point", hoffset = 0) # with a wide line for the interquartile range and lines for whiskers p + geom_tufteboxplot(median.type = "line", hoffset = 0, width = 3) # with an offset line for the interquartile range and lines for whiskers p + geom_tufteboxplot(median.type = "line") # combined with theme_tufte p + geom_tufteboxplot() + theme_tufte() + theme(axis.ticks.x = element_blank()) # traditional boxplot with whiskers only out to 1.5 IQR, outlier points p + geom_tufteboxplot(stat = "boxplot", outlier.shape = 5) ggthemes/inst/examples/ex-scale_shape_tableau.R0000644000176200001440000000024315112366564021361 0ustar liggesusers\dontrun{ library("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, shape = factor(gear))) + facet_wrap(~am) p + scale_shape_tableau() } ggthemes/inst/examples/ex-scale_colour_gradient2_tableau.R0000644000176200001440000000075215112461554023523 0ustar liggesuserslibrary("ggplot2") df <- data.frame( x = runif(100), y = runif(100), z1 = rnorm(100), z2 = abs(rnorm(100)) ) p <- ggplot(df, aes(x, y)) + geom_point(aes(colour = z2)) palettes <- ggthemes_data[["tableau"]][["color-palettes"]][["ordered-diverging"]] for (palette in head(names(palettes))) { print(p + scale_colour_gradient2_tableau(palette) + ggtitle(palette)) } # If you need to reverse a palette, use a transformation p + scale_colour_gradient2_tableau(trans = "reverse") ggthemes/inst/examples/ex-excel_pal.R0000644000176200001440000000012115112366564017344 0ustar liggesuserslibrary("scales") show_col(excel_pal()(7)) show_col(excel_pal(line = FALSE)(7)) ggthemes/inst/examples/ex-colorblind.R0000644000176200001440000000034715112676746017557 0ustar liggesuserslibrary("ggplot2") library("scales") show_col(colorblind_pal()(8)) p <- ggplot(mtcars) + geom_point(aes( x = wt, y = mpg, colour = factor(gear) )) + facet_wrap(~am) p + theme_igray() + scale_colour_colourblind() ggthemes/inst/examples/ex-scale_shape_stata.R0000644000176200001440000000026115112366564021060 0ustar liggesusers\dontrun{ library("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, shape = factor(gear))) + facet_wrap(~am) p + theme_stata() + scale_shape_stata() } ggthemes/inst/examples/ex-bank_slopes.R0000644000176200001440000000064515112366564017723 0ustar liggesuserslibrary("ggplot2") # Use the classic sunspot data from Cleveland's original paper x <- seq_along(sunspot.year) y <- as.numeric(sunspot.year) # Without banking m <- ggplot(data.frame(x = x, y = y), aes(x = x, y = y)) + geom_line() m ## Using the default method, Median Absolute Slope ratio <- bank_slopes(x, y) m + coord_fixed(ratio = ratio) ## Using culling ## Average Absolute Slope bank_slopes(x, y, method = "as") ggthemes/inst/examples/ex-theme_fivethirtyeight.R0000644000176200001440000000034415112366564022017 0ustar liggesuserslibrary("ggplot2") p <- ggplot(mtcars, aes(x = wt, y = mpg, colour = factor(gear))) + geom_point() + facet_wrap(~am) + geom_smooth(method = "lm", se = FALSE) + scale_color_fivethirtyeight() + theme_fivethirtyeight() p ggthemes/inst/examples/ex-scale_shape_tremmel.R0000644000176200001440000000031315112366564021407 0ustar liggesuserslibrary("ggplot2") p <- ggplot(mtcars, aes(x = mpg, y = hp, shape = factor(cyl))) + geom_point() p + scale_shape_tremmel() p + scale_shape_tremmel(alt = TRUE) p + scale_shape_tremmel(overlap = TRUE) ggthemes/inst/examples/ex-theme_economist.R0000644000176200001440000000157215112366564020605 0ustar liggesuserslibrary("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) + # Economist puts x-axis labels on the right-hand side scale_y_continuous(position = "right") ## Standard p + theme_economist() + scale_colour_economist() # Change axis lines to vertical p + theme_economist(horizontal = FALSE) + scale_colour_economist() + coord_flip() ## White panel/light gray background p + theme_economist_white() + scale_colour_economist() ## All white variant p + theme_economist_white(gray_bg = FALSE) + scale_colour_economist() \dontrun{ ## The Economist uses ITC Officina Sans library("extrafont") p + theme_economist(base_family="ITC Officina Sans") + scale_colour_economist() ## Verdana is a widely available substitute p + theme_economist(base_family="Verdana") + scale_colour_economist() } ggthemes/inst/examples/ex-theme_tufte.R0000644000176200001440000000054015112461554017721 0ustar liggesuserslibrary("ggplot2") p <- ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point() + scale_x_continuous(breaks = extended_range_breaks()(mtcars$wt)) + scale_y_continuous(breaks = extended_range_breaks()(mtcars$mpg)) + ggtitle("Cars") p + geom_rangeframe() + coord_cartesian(clip = "off") + theme_tufte() p + geom_rug() + theme_tufte(ticks = FALSE) ggthemes/inst/examples/ex-theme_pander.R0000644000176200001440000000065015112366564020052 0ustar liggesusersrequire("ggplot2") if (require("pander")) { p <- ggplot(mtcars, aes(x = mpg, y = wt)) + geom_point() p + theme_pander() panderOptions("graph.grid.color", "red") p + theme_pander() p <- ggplot(mtcars, aes(wt, mpg, colour = factor(cyl))) + geom_point() p + theme_pander() + scale_color_pander() ggplot(mpg, aes(x = class, fill = drv)) + geom_bar() + scale_fill_pander() + theme_pander() } ggthemes/inst/examples/ex-cleveland_shape_pal.R0000644000176200001440000000046215112366564021371 0ustar liggesusers### (discrete). \dontrun{ library("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, shape = factor(gear))) + facet_wrap(~am) + theme_bw() # overlapping symbol palette p + scale_shape_cleveland() # non-overlapping symbol palette p + scale_shape_cleveland(overlap = FALSE) } ggthemes/inst/examples/ex-tableau_color_pal.R0000644000176200001440000000036115112366564021065 0ustar liggesuserslibrary("scales") palettes <- ggthemes_data[["tableau"]][["color-palettes"]][["regular"]] for (palname in names(palettes)) { pal <- tableau_color_pal(palname) max_n <- attr(pal, "max_n") show_col(pal(max_n)) title(main = palname) } ggthemes/inst/examples/ex-tableau_seq_gradient_pal.R0000644000176200001440000000047215112366564022417 0ustar liggesuserslibrary("scales") x <- seq(0, 1, length = 25) r <- sqrt(outer(x^2, x^2, "+")) palettes <- ggthemes_data[["tableau"]][["color-palettes"]][["ordered-sequential"]] for (palname in names(palettes)) { col <- tableau_seq_gradient_pal(palname)(seq(0, 1, length = 12)) image(r, col = col) title(main = palname) } ggthemes/inst/examples/ex-theme_base.R0000644000176200001440000000037615112461554017513 0ustar liggesuserslibrary("ggplot2") p <- ggplot(mtcars) + geom_point(aes( x = wt, y = mpg, colour = factor(gear) )) + facet_wrap(~am) p + theme_base() # Change values of par par(fg = "blue", bg = "gray", col.lab = "red", font.lab = 3) p + theme_base() ggthemes/inst/examples/ex-scale_colour_ptol.R0000644000176200001440000000047715112366564021136 0ustar liggesuserslibrary("ggplot2") p2 <- ggplot(mtcars, aes(x = wt, y = mpg, colour = factor(gear))) + geom_point() + geom_smooth(method = "lm", se = FALSE) + scale_color_ptol("cyl") + theme_minimal() + ggtitle("Cars") ggplot(diamonds, aes(x = clarity, fill = cut)) + geom_bar() + scale_fill_ptol() + theme_minimal() ggthemes/inst/examples/ex-theme_calc.R0000644000176200001440000000045515112366564017506 0ustar liggesuserslibrary("ggplot2") ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) + theme_calc() + scale_color_calc() \dontrun{ ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, shape = factor(gear))) + facet_wrap(~am) + theme_calc() + scale_shape_calc() } ggthemes/inst/examples/ex-calc_shape_pal.R0000644000176200001440000000010515112366564020330 0ustar liggesusers\dontrun{ library("ggplot2") show_shapes(calc_shape_pal()(13)) } ggthemes/inst/examples/ex-theme_gdocs.R0000644000176200001440000000024015112366564017673 0ustar liggesuserslibrary("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) p + theme_gdocs() + scale_color_gdocs() ggthemes/inst/examples/ex-excel_new_pal.R0000644000176200001440000000017015112366564020221 0ustar liggesuserslibrary("scales") for (i in names(ggthemes::ggthemes_data$excel$palettes)) { show_col(excel_new_pal(theme = i))(6) } ggthemes/inst/examples/ex-geom_rangeframe.R0000644000176200001440000000056015112366564020535 0ustar liggesuserslibrary("ggplot2") ggplot(mtcars, aes(wt, mpg)) + geom_point() + geom_rangeframe() + coord_cartesian(clip = "off") + theme_tufte() # In the example above, # `coord_cartesian(clip="off")`` ensures that the full width of the line is drawn. # if you know a better way to fix this, # please open an issue or PR on github https://github.com/jrnold/ggthemes/issue ggthemes/inst/examples/ex-show_linetypes.R0000644000176200001440000000014615112366564020473 0ustar liggesuserslibrary("scales") show_linetypes(linetype_pal()(3)) show_linetypes(linetype_pal()(3), labels = TRUE) ggthemes/inst/examples/ex-economist_pal.R0000644000176200001440000000015015112366564020246 0ustar liggesuserslibrary("scales") show_col(economist_pal()(6)) ## fill palette show_col(economist_pal(fill = TRUE)(6)) ggthemes/inst/examples/ex-calc_pal.R0000644000176200001440000000005415112366564017153 0ustar liggesuserslibrary("scales") show_col(calc_pal()(12)) ggthemes/inst/examples/ex-tableau_div_gradient_pal.R0000644000176200001440000000045115112366564022406 0ustar liggesusersx <- seq(-1, 1, length = 100) r <- sqrt(outer(x^2, x^2, "+")) palettes <- ggthemes_data[["tableau"]][["color-palettes"]][["ordered-diverging"]] for (palname in names(palettes)) { col <- tableau_div_gradient_pal(palname)(seq(0, 1, length = 12)) image(r, col = col) title(main = palname) } ggthemes/inst/examples/ex-theme_few.R0000644000176200001440000000054515112366564017365 0ustar liggesuserslibrary("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) p + theme_few() + scale_colour_few() p + theme_few() + scale_colour_few("Light") p + theme_few() + scale_colour_few("Dark") ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, shape = factor(gear))) + theme_few() + scale_shape_few() ggthemes/inst/examples/ex-scale_colour_excel_new.R0000644000176200001440000000025015112366564022116 0ustar liggesuserslibrary("ggplot2") ggplot(mtcars, aes(x = wt, y = mpg, colour = factor(gear))) + geom_point() + ggtitle("Cars") + theme_excel_new() + scale_colour_excel_new() ggthemes/inst/examples/ex-theme_solarized.R0000644000176200001440000000072515112461554020573 0ustar liggesuserslibrary("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) # Light version with different main accent colors for (accent in names(ggthemes::ggthemes_data[["solarized"]][["accents"]])) { print(p + theme_solarized() + scale_colour_solarized(accent)) } # Dark version p + theme_solarized(light = FALSE) + scale_colour_solarized("blue") # Alternative theme p + theme_solarized_2(light = FALSE) + scale_colour_solarized("blue") ggthemes/inst/examples/ex-theme_clean.R0000644000176200001440000000027015112366564017661 0ustar liggesuserslibrary("ggplot2") p <- ggplot(mtcars, aes(x = wt, y = mpg, colour = factor(gear))) + geom_point() + facet_wrap(~am) + geom_smooth(method = "lm", se = FALSE) + theme_clean() p ggthemes/inst/examples/ex-palette_pander.R0000644000176200001440000000004315112366564020402 0ustar liggesusers\dontrun{ palette_pander(TRUE) } ggthemes/inst/examples/ex-ptol_pal.R0000644000176200001440000000013415112366564017226 0ustar liggesuserslibrary("scales") show_col(ptol_pal()(6)) show_col(ptol_pal()(4)) show_col(ptol_pal()(12)) ggthemes/inst/examples/ex-solarized_pal.R0000644000176200001440000000015715112366564020251 0ustar liggesuserslibrary("scales") show_col(solarized_pal()(2)) show_col(solarized_pal()(3)) show_col(solarized_pal("red")(4)) ggthemes/inst/examples/ex-fivethirtyeight_pal.R0000644000176200001440000000006615112366564021472 0ustar liggesuserslibrary("scales") show_col(fivethirtyeight_pal()(3)) ggthemes/inst/examples/ex-theme_hc.R0000644000176200001440000000243615112461554017172 0ustar liggesuserslibrary("ggplot2") p <- ggplot(mtcars) + geom_point(aes( x = wt, y = mpg, colour = factor(gear) )) + facet_wrap(~am) p + theme_hc() + scale_colour_hc() p + theme_hc(bgcolor = "darkunica") + scale_colour_hc("darkunica") dtemp <- data.frame( months = factor(rep(substr(month.name, 1, 3), 4), levels = substr(month.name, 1, 3)), city = rep(c("Tokyo", "New York", "Berlin", "London"), each = 12), temp = c( 7.0, 6.9, 9.5, 14.5, 18.2, 21.5, 25.2, 26.5, 23.3, 18.3, 13.9, 9.6, -0.2, 0.8, 5.7, 11.3, 17.0, 22.0, 24.8, 24.1, 20.1, 14.1, 8.6, 2.5, -0.9, 0.6, 3.5, 8.4, 13.5, 17.0, 18.6, 17.9, 14.3, 9.0, 3.9, 1.0, 3.9, 4.2, 5.7, 8.5, 11.9, 15.2, 17.0, 16.6, 14.2, 10.3, 6.6, 4.8 ) ) ggplot(dtemp, aes(x = months, y = temp, group = city, color = city)) + geom_line() + geom_point(size = 1.1) + ggtitle("Monthly Average Temperature") + theme_hc() + scale_colour_hc() ggplot(dtemp, aes(x = months, y = temp, group = city, color = city)) + geom_line() + geom_point(size = 1.1) + ggtitle("Monthly Average Temperature") + theme_hc(bgcolor = "darkunica") + scale_fill_hc("darkunica") ggthemes/inst/examples/ex-theme_excel_new.R0000644000176200001440000000025115112366564020547 0ustar liggesuserslibrary("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) p + theme_excel_new() + scale_colour_excel_new() ggthemes/inst/examples/ex-scale_color_tableau.R0000644000176200001440000000061715112461554021377 0ustar liggesuserslibrary("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) + theme_igray() palettes <- ggthemes_data[["tableau"]][["color-palettes"]][["regular"]] for (palette in head(names(palettes), 3L)) { print(p + scale_colour_tableau(palette) + ggtitle(palette)) } # the order of colour can be reversed p + scale_color_tableau(direction = -1) ggthemes/inst/examples/ex-scale_solarized.R0000644000176200001440000000025115112461554020552 0ustar liggesuserslibrary("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) p + theme_solarized() + scale_colour_solarized() ggthemes/inst/examples/ex-few_pal.R0000644000176200001440000000014515112366564017033 0ustar liggesuserslibrary("scales") show_col(few_pal()(7)) show_col(few_pal("Dark")(7)) show_col(few_pal("Light")(7)) ggthemes/inst/examples/ex-theme_wsj.R0000644000176200001440000000045015112366564017402 0ustar liggesuserslibrary("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) + ggtitle("Diamond Prices") p + scale_colour_wsj("colors6", "") + theme_wsj() # Use a gray background instead p + scale_colour_wsj("colors6", "") + theme_wsj(color = "gray") ggthemes/inst/examples/ex-few_shape_pal.R0000644000176200001440000000013715112366564020214 0ustar liggesusers\dontrun{ # need to set a font containing unicode values show_shapes(few_shape_pal()(5)) } ggthemes/inst/examples/ex-theme_par.R0000644000176200001440000000040315112366564017357 0ustar liggesuserslibrary("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) p + theme_par() # theme changes with respect to values of par par(font = 2, col.lab = "red", fg = "white", bg = "black") p + theme_par() ggthemes/inst/WORDLIST0000644000176200001440000000146215112461554014233 0ustar liggesusersACM Agrawala Analytics Argwala Banff Beamer Bembo Bugfix CMD Calc Canva Colour FiveThirtyEight Fivethirtyeight Geoms Hanrahan Heer Highcharts ITC Impactful InfoVis Irizarry's Irizarry’s JS Kliever Lewandowsky LibreOffic Linetype Lothar Maneesh McGill Officina Pinterest PolicyViz SRON SandyMuspratt Schoonover's Schwabish Solarized Spiekerblog Stata Stribley Tabaleau Tableu Tol Tol's Tremmel Tufte Tufte's Verdana WS WSJ Zdeb al behaviour bowerth bugfix calc canva colour continous coord daroczig devtools et extrafont fivethirtyeight gdocs geom's geoms ggplot ggproto github grey hc hexa https impactful jbkunst lifecycle linepattern linetype linetypes lty nd orcid paul pkgdown plotmath ptoche ptol pts rcolor rlang rstudio sj solarized stata tol tradeblotter tufte unicode unmapped vdiffr weitzner wordpress wsj ggthemes/build/0000755000176200001440000000000015112741376013163 5ustar liggesusersggthemes/build/stage23.rdb0000644000176200001440000010200115112741376015116 0ustar liggesusers‹í½kSÜȺ.(°¡¸lc_tùm €ö¥MÛ˜Æ6¾/Àv¯nz3¢*)Ô®’jI*0»w8gfâœùrÎœ˜Øóe]öLÄÌ_šµ?ÏçY±~ÀéÑ+½ªÊ*$Ú™©Ri¥ŽP?¯©‚|2Ÿ7ß¼(/ßö)ŠÒ©íêT:€yÊùŸó³#€ÃοO8Ø¡Uzœ¼FžRšªM dkŸ˜Æ§ý"ÕçæIÁ ºaZÐlø`GÕ Šr´“ùÝîÕ¦­‹ý‹™¥7¯^-¿^oþ²eæMºíЀ¹ŸÔŸÉ:6üVÆù­m­Dó¨âý÷צ¯YÖóMºÞ­?™úªé{=TÏM/6•@à—»tµL­¦?Û³\û Êmú…^[s~ÁVË‡Ñ |°øçç?ýðÅâÿÔü—ó%Õòÿr§ŸÍ·oÖV¾ÍÛ~Y¹ÿ´’éÂnMÔì\ÅÔvs»ª™Û6JjZ9{+÷ãæìNyó®~kÿî½-³x[ÿXØ¿{»Tžqþ+ê¹õܪ]®Øß埾x–[ݪj¥‚º=CïЭ{ùÂöl®X´w¨“±\YÕsôSž–6uº·YQKÓ«ÍîйWhbµÙbV^ù…ÔûK³'Ö'ì+5¯ôÿPƒktôy¿ÖÑükG×—¿Eïü¥É¥§Ä¾wÄùÞÑ_„hŒ_#oKTµ¨W F¾Z¦º­Úš¡M'«ž2Ó«!lkdáN$ 8Žö¸4aîrƒä'ÄG€Æ)/ t7ŒÚûåÕÇÔ ‚fO¡}J„Z`ª]^eL¶ñ4Ú§ã’?à >IÚƒÄÓh •P`ªÝjIS­t;Ï -V$RÊ@òà â‘2sË  ÏWMÓ 5d× ÜN´±&HÞ(&q䢶M-2^Ð,çïÙt‚“Jxí{Êgkv)¨bu¡d€óhÏÇ/$ÿ5ƒøÊ×ù¹tºV—Þ|³À§%ðÉb¹ÞPÁÇÝV›,ì›ím-OÉ:ü;;ÁM6ƒº^Gûz„¾SµÔbïøM|ÒÐ{Ûwz<Åkˆ ï‘¥ŸcqWV‚"R—ë<œÔúÐIûÑî¦v´yìäø/ö›ÛÄ¡GЭ=7w¢¤+Ýò*0D¼‡¶Pxl`ül†t¶A¶¨CNß®ZΨoO³wH±X)öœGÖ óÛ¦Q&{;Z~¾îôÛµ]7c^žxsÓ•ðÚϤss[¡i²¸«j%u«„eo9½â|©Z ó¼D!9À+h_!ê¶ó!­k&»h;£À,oÜ@F€ïÑ~a_ÔÝ…½È’m(„ÎIÂ)Nt<‚Ey¬Š4%I¢ôdS³¤é©*IR¥?»DKÔ²5µ” “$aº³K¦QI5I’&™ì7´b濫$I”Þì7NEqz©,I’%“}¢æSQ’%Jö Uq•I ©0I¦7ûT-•¨¹ŸÊ’$Yú³Ï¨Zp-4á'J˜¾ìŠnÓ¢™ŽZ’¥Ëñ슡“džjLÃ(§â$Iœ.'•$I’ôf_©ÍJeI–,ÇY4,ïR=Á$J™îì+j¥30‰Òd°q@ªM‚´é;1‹ª®åSY’$K_ö­ê ^Jê§T—$éÒºäi:ªL”*Dz«Ô6 «Bóiw,QÊd²kên:zIœ(%§;–Š’$Q²ïÕŠa’uSÕÒæ%QÒtgßkt/Õ$Yš|ЬtùK¢4éÏ~0ŒY߯¤mK¢„éÉ.¦}ãÄ©r,û¸T¥ä©IiÚAN”2½ž2++©,I’¥ß“åƒj¦/Ž%L·+LªI’4éÏ>5Õ}+¯–Ra%Ì`ÖmñÉoi©d¤£ÊDi“ɦ½±Ä‰k`ÌßUiÇ%KOö-hjZY¥Ê¿ÖbnfæîÔÜÌìLªO’ô9–}cªz‘’Õt‹E²”éAeRU’¤J&ûV­P3%I¢Àz‹I«KR•y¯é~ׄ)Ó•M[ü„Ir ÖÁT,Û¤j:¡œ(eú³^K_Á$L˜žlÚ¶$O•ãYo29í’%PœžìßéL°/WÖÖCþB'œ3îÿf½-(ìëjYË?)¹çÏûôúÍ›fÓr@Þú˜¼}@ûoÞàÇ~9HEîhMÀoÄ'¢bïÛPÍ¢{”xÐ9ǽ˜‘AD|’P,@©“A|ëf§,ãHÅG|$CÖӥƓ–ݳ:·öIó‘Ìpøè+-o–±mûGªz¸G8Oófæ øí§‘¹Ü±µò¦V³ëCŠR<)ãtòvÊG9ëþ\:¡QHñÎNõÉb*i[¦jîgÝ–ÀIÌض¹8„öPëô åÁ‘¡ß|½íTÀq îXpï÷/ž˜Ÿ÷­Í‚j«WÝc®¯úUub‚üÄæ(y÷0ðEô@pöÓqB¬co3o”ƃÏâÖ&&Æïð ?Œ£»8¢ógn"g1ñ³XM;D«j`²½ô“Z®”hP é;ü¹HŽ;XÃœû(¬zdéœW¼VÞG|$KåÌ8Ì=}ºjוç /µ (ÒEöê¿ß¸4Á«h‡ÜhBï¢âõ“."½Qz!ýß’¦ I6ƒ8Œö°|UŸà­Ê@à,â9´Ïµ~ls=á":m‡‡Ò#N^（žy±ÑŽØ;‡Ý¶~Ó«H›µ6“ë%tOÀ,ÚÙÖ»ê%tOÀ+h Ï.ëª@à*â5´¯µÞU/¡{^Gûz\Ò¿8Ž¶X똫žð\u[+•ïh'ûí² SQwL# ÿŠ¹À‹RLñÝ°Õ­zJƒßéÝ(: ¹mæ‹=Í”ü«ÜjßèüSõûAk_<Úô¥'½dxØØunt&'fhº† )ûKßxÿ½I­jɶ̤e;I/lUµRᇟlÃ(Yóóó«…M$µÉ´ÊãÙ+³Ù‰ŸC¦ üY‹m´·ëãCvÜ?ë:0ônýÉÔWÞ‡ÝÍ*ÞÏ{ Aèet,þyñû«µŸ×~E~ûfmåÛ¼í;›ûO»^ò}Í ,å^z/³sOL'D9añ£•[Þöÿ‘[¥^h°rÖŽjÒÜj!ç UsÖ¾åD–iÐÜßü§7sSÛuúÁ9§[˜Ûv:÷N%ÏÙ[¹7gwÊ›wõ[ûwïm™ÅÛúÇÂþÝÛ¥òŒó_QÏ­çVírÅþ.ÿôųܪ«Žº=CïЭ{ùÂölÎ…ÜèSÆßgüÃŽ°¯˜¨‡oW…²Ðü•/¸_ƒËÁg›oWǯÌ:û–û>Ú÷ëNF?{â#¤õ~©®Óo™ŒžÏè5žýTr¤ÿôóOÐCûé'/…Ÿþù'ÏÈã æ 0à†qÉ<ölli[^Ç- 9;¯Ìdaiú³™çE²ÐÔ®TL£XRaˆ÷@…œqý'ÛÚþéÊ,ˆäü? {w0Kw³*¦ÐAu¼ÁMëÔa*N„êtn¬´’ô=$ Ȭ’$ݳ±´ºøÚôGAýŽ;ãôÓŽmW¬ù\þöôê”ãµ?:càiÃ,æ°I]pë'˜lpý, »C˜EÀWh¿ŠÄÅœ>®å° ÑD¹ Au蟚C‚rå¯tœQjaN<´L…` ¯{ã°(T}ÀßcrGá}%vÉÀwh'[Ÿ5µyÜ/Ÿ½ ¹Ý(Jè i^úáeô– à? ý‘5ƒõ÷òÚÒêÊÛõ•7¯£) þ5Ã!¼ØÁè`ž\[6\þÓ_üô§¨†ë»-S;c{Ýßûý77ÂowUƒ¯0/,;½¸×Ô®*&­¨¦ûJÁuê‡Qüÿœ\R¼Ð´²còyJu÷-¨»ùÆ4>í©>7O Ñ ›Ð‚fÃ;µJ} Þg–Þ¼zµü:h[‰'ë(\‰;Ã>Ì4ÿfÏr}µÃ ®íKkQÕv=õ·›tÿo¡–Ë­2ò{">âã{קÏn‡h\¿FÞ–¨jQÏ÷ FÞ}éÂì2ì”Y%¦Wù+C'R XÜ*H—»Ô ù â#@#ðè"tÓ0Rï—W:¢xëHÐ!˜ªÿZ/0ÙÄA´ã—’?Î >í•bsâ ÚBe˜jmÑZ`ºˆÇÑ+ )MŽâ÷|Ä'"MƽͯoýͯOèÉ®í{ä%N¸%¯«å-'|g9Yw¡P€9´sŠ†«Óí@œA{&~Ñ ùYñ­ósé„®PïF |ÄG²X.a…Ç ™d¸Ç’VË;\3¨–¿í¤CiØD í1¸Z+°h:°H˜nbÜÓãé\C|=æˆ,øìƒøˆ;°Ø" ãp’ëC7”j¤kWæNa¯¿©ˆÃhKû‘r8 ß߃Ž~éüÊá€ÑþÈK?ŒŠœ/Â)1ˆOD‘áóçèW$¢CkŠ¥ßóÝÊEŒc²t B 2ˆ¤ÿù›ªÓ?ƒAÏ.u7%3ul›F™¬Ù´²Cu·ã2>73;Úò|ÎD_¢ýed¬S)N‚P’ÄóhŸpLâ- LÇ!ì†nÙ>Ã4\DnR¢šP&&¥5AçEŽ§¹ˆxí;Ò ^jÅ{’x=™I÷ˆ—oTóã4YVó;>[ÇËS³?Ô5}“? 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One of \code{'brown', 'gray', 'green', 'blue'}.} \item{base_family}{base font family} \item{title_family}{Plot title font family.} } \description{ Theme based on the plots in \emph{The Wall Street Journal}. } \details{ This theme should be used with \code{\link{scale_color_wsj}()}. } \examples{ library("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) + ggtitle("Diamond Prices") p + scale_colour_wsj("colors6", "") + theme_wsj() # Use a gray background instead p + scale_colour_wsj("colors6", "") + theme_wsj(color = "gray") } \references{ \url{https://x.com/WSJGraphics} \url{https://pinterest.com/wsjgraphics/wsj-graphics/} } \concept{themes wsj} ggthemes/man/scale_excel_new.Rd0000644000176200001440000000740615112461554016252 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/excel.R \name{scale_colour_excel_new} \alias{scale_colour_excel_new} \alias{scale_color_excel_new} \alias{scale_fill_excel_new} \title{Excel (current versions) color scales} \usage{ scale_colour_excel_new(theme = "Office Theme", ...) scale_color_excel_new(theme = "Office Theme", ...) scale_fill_excel_new(theme = "Office Theme", ...) } \arguments{ \item{theme}{The name of the Office theme or color theme (not to be confused with ggplot2 themes) from which to derive the color palette. Available themes include: \Sexpr[results=rd]{ggthemes:::rd_optlist(names(ggthemes::ggthemes_data$excel$themes))}} \item{...}{ Arguments passed on to \code{\link[ggplot2:discrete_scale]{discrete_scale}} \describe{ \item{\code{breaks}}{One of: \itemize{ \item \code{NULL} for no breaks \item \code{waiver()} for the default breaks (the scale limits) \item A character vector of breaks \item A function that takes the limits as input and returns breaks as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{limits}}{One of: \itemize{ \item \code{NULL} to use the default scale values \item A character vector that defines possible values of the scale and their order \item A function that accepts the existing (automatic) values and returns new ones. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{drop}}{Should unused factor levels be omitted from the scale? The default, \code{TRUE}, uses the levels that appear in the data; \code{FALSE} includes the levels in the factor. Please note that to display every level in a legend, the layer should use \code{show.legend = TRUE}.} \item{\code{na.translate}}{Unlike continuous scales, discrete scales can easily show missing values, and do so by default. If you want to remove missing values from a discrete scale, specify \code{na.translate = FALSE}.} \item{\code{minor_breaks}}{One of: \itemize{ \item \code{NULL} for no minor breaks \item \code{waiver()} for the default breaks (none for discrete, one minor break between each major break for continuous) \item A numeric vector of positions \item A function that given the limits returns a vector of minor breaks. Also accepts rlang \link[rlang:as_function]{lambda} function notation. When the function has two arguments, it will be given the limits and major break positions. }} \item{\code{labels}}{One of the options below. Please note that when \code{labels} is a vector, it is highly recommended to also set the \code{breaks} argument as a vector to protect against unintended mismatches. \itemize{ \item \code{NULL} for no labels \item \code{waiver()} for the default labels computed by the transformation object \item A character vector giving labels (must be same length as \code{breaks}) \item An expression vector (must be the same length as breaks). See ?plotmath for details. \item A function that takes the breaks as input and returns labels as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{guide}}{A function used to create a guide or its name. See \code{\link[ggplot2:guides]{guides()}} for more information.} \item{\code{call}}{The \code{call} used to construct the scale for reporting messages.} \item{\code{super}}{The super class to use for the constructed scale} }} } \description{ Discrete color scales used in current versions of Microsoft Office and Excel. } \examples{ library("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) p + theme_excel_new() + scale_colour_excel_new() } \seealso{ Other colour excel: \code{\link{excel_new_pal}()}, \code{\link{excel_pal}()}, \code{\link{scale_fill_excel}()} } \concept{colour excel} ggthemes/man/colorblind.Rd0000644000176200001440000000766515112676746015303 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/colorblind.R \name{colorblind_pal} \alias{colorblind_pal} \alias{colourblind_pal} \alias{scale_colour_colourblind} \alias{scale_colour_colorblind} \alias{scale_color_colorblind} \alias{scale_fill_colorblind} \alias{scale_fill_colourblind} \title{Colorblind Color Palette (Discrete) and Scales} \usage{ colorblind_pal() colourblind_pal() scale_colour_colourblind(...) scale_colour_colorblind(...) scale_color_colorblind(...) scale_fill_colorblind(...) scale_fill_colourblind(...) } \arguments{ \item{...}{ Arguments passed on to \code{\link[ggplot2:discrete_scale]{discrete_scale}} \describe{ \item{\code{breaks}}{One of: \itemize{ \item \code{NULL} for no breaks \item \code{waiver()} for the default breaks (the scale limits) \item A character vector of breaks \item A function that takes the limits as input and returns breaks as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{limits}}{One of: \itemize{ \item \code{NULL} to use the default scale values \item A character vector that defines possible values of the scale and their order \item A function that accepts the existing (automatic) values and returns new ones. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{drop}}{Should unused factor levels be omitted from the scale? The default, \code{TRUE}, uses the levels that appear in the data; \code{FALSE} includes the levels in the factor. Please note that to display every level in a legend, the layer should use \code{show.legend = TRUE}.} \item{\code{na.translate}}{Unlike continuous scales, discrete scales can easily show missing values, and do so by default. If you want to remove missing values from a discrete scale, specify \code{na.translate = FALSE}.} \item{\code{minor_breaks}}{One of: \itemize{ \item \code{NULL} for no minor breaks \item \code{waiver()} for the default breaks (none for discrete, one minor break between each major break for continuous) \item A numeric vector of positions \item A function that given the limits returns a vector of minor breaks. Also accepts rlang \link[rlang:as_function]{lambda} function notation. When the function has two arguments, it will be given the limits and major break positions. }} \item{\code{labels}}{One of the options below. Please note that when \code{labels} is a vector, it is highly recommended to also set the \code{breaks} argument as a vector to protect against unintended mismatches. \itemize{ \item \code{NULL} for no labels \item \code{waiver()} for the default labels computed by the transformation object \item A character vector giving labels (must be same length as \code{breaks}) \item An expression vector (must be the same length as breaks). See ?plotmath for details. \item A function that takes the breaks as input and returns labels as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{guide}}{A function used to create a guide or its name. See \code{\link[ggplot2:guides]{guides()}} for more information.} \item{\code{call}}{The \code{call} used to construct the scale for reporting messages.} \item{\code{super}}{The super class to use for the constructed scale} }} } \description{ An eight-color colorblind safe qualitative discrete palette. `r lifecycle::badge("deprecated")` } \examples{ library("ggplot2") library("scales") show_col(colorblind_pal()(8)) p <- ggplot(mtcars) + geom_point(aes( x = wt, y = mpg, colour = factor(gear) )) + facet_wrap(~am) p + theme_igray() + scale_colour_colourblind() } \references{ Chang, W. "\href{http://www.cookbook-r.com/Graphs/Colors_(ggplot2)/#a-colorblind-friendly-palette}{Cookbook for R}" \verb{https://jfly.iam.u-tokyo.ac.jp/color} } \seealso{ The \pkg{dichromat} package, \code{\link[scales]{dichromat_pal}()}, and \code{\link{scale_color_tableau}()} for other colorblind palettes. } \concept{colour} ggthemes/man/scale_ptol.Rd0000644000176200001440000000675615112461554015266 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/ptol.R \name{scale_colour_ptol} \alias{scale_colour_ptol} \alias{scale_color_ptol} \alias{scale_fill_ptol} \title{Color Scales from Paul Tol's "Colour Schemes} \usage{ scale_colour_ptol(...) scale_color_ptol(...) scale_fill_ptol(...) } \arguments{ \item{...}{ Arguments passed on to \code{\link[ggplot2:discrete_scale]{discrete_scale}} \describe{ \item{\code{breaks}}{One of: \itemize{ \item \code{NULL} for no breaks \item \code{waiver()} for the default breaks (the scale limits) \item A character vector of breaks \item A function that takes the limits as input and returns breaks as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{limits}}{One of: \itemize{ \item \code{NULL} to use the default scale values \item A character vector that defines possible values of the scale and their order \item A function that accepts the existing (automatic) values and returns new ones. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{drop}}{Should unused factor levels be omitted from the scale? The default, \code{TRUE}, uses the levels that appear in the data; \code{FALSE} includes the levels in the factor. Please note that to display every level in a legend, the layer should use \code{show.legend = TRUE}.} \item{\code{na.translate}}{Unlike continuous scales, discrete scales can easily show missing values, and do so by default. If you want to remove missing values from a discrete scale, specify \code{na.translate = FALSE}.} \item{\code{minor_breaks}}{One of: \itemize{ \item \code{NULL} for no minor breaks \item \code{waiver()} for the default breaks (none for discrete, one minor break between each major break for continuous) \item A numeric vector of positions \item A function that given the limits returns a vector of minor breaks. Also accepts rlang \link[rlang:as_function]{lambda} function notation. When the function has two arguments, it will be given the limits and major break positions. }} \item{\code{labels}}{One of the options below. Please note that when \code{labels} is a vector, it is highly recommended to also set the \code{breaks} argument as a vector to protect against unintended mismatches. \itemize{ \item \code{NULL} for no labels \item \code{waiver()} for the default labels computed by the transformation object \item A character vector giving labels (must be same length as \code{breaks}) \item An expression vector (must be the same length as breaks). See ?plotmath for details. \item A function that takes the breaks as input and returns labels as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{guide}}{A function used to create a guide or its name. See \code{\link[ggplot2:guides]{guides()}} for more information.} \item{\code{call}}{The \code{call} used to construct the scale for reporting messages.} \item{\code{super}}{The super class to use for the constructed scale} }} } \description{ See \code{\link{ptol_pal}()}. These palettes support up to 12 values. } \examples{ library("ggplot2") p2 <- ggplot(mtcars, aes(x = wt, y = mpg, colour = factor(gear))) + geom_point() + geom_smooth(method = "lm", se = FALSE) + scale_color_ptol("cyl") + theme_minimal() + ggtitle("Cars") ggplot(diamonds, aes(x = clarity, fill = cut)) + geom_bar() + scale_fill_ptol() + theme_minimal() } \seealso{ Other colour ptol: \code{\link{ptol_pal}()} } \concept{colour ptol} ggthemes/man/circlefill_shape_pal.Rd0000644000176200001440000000210015112366564017245 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/shapes.R \name{circlefill_shape_pal} \alias{circlefill_shape_pal} \title{Filled Circle Shape palette (discrete)} \usage{ circlefill_shape_pal() } \description{ `r lifecycle::badge("deprecated")` This function was deprecated because unicode glyphs used for the circles vary in size, making them unusable for plotting. Shape palette with circles varying by amount of fill. This uses the set of 3 circle fill values in Lewandowsky and Spence (1989): solid, hollow, half-filled, with two additional fill amounts: three-quarters, and one-quarter. This palette supports up to five values. } \references{ Lewandowsky, Stephan and Ian Spence (1989) "Discriminating Strata in Scatterplots", Journal of the American Statistical Association, \url{https://www.jstor.org/stable/2289649} } \seealso{ Other shapes: \code{\link{cleveland_shape_pal}()}, \code{\link{scale_shape_circlefill}()}, \code{\link{scale_shape_cleveland}()}, \code{\link{scale_shape_tremmel}()}, \code{\link{tremmel_shape_pal}()} } \concept{shapes} ggthemes/man/theme_excel_new.Rd0000644000176200001440000000144415112366564016266 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/excel.R \name{theme_excel_new} \alias{theme_excel_new} \title{ggplot theme similar to current Excel plot defaults} \usage{ theme_excel_new(base_size = 9, base_family = "sans") } \arguments{ \item{base_size}{base font size, given in pts.} \item{base_family}{base font family} } \value{ An object of class \code{\link[ggplot2]{theme}()}. } \description{ Theme for ggplot2 that is similar to the default style of charts in current versions of Microsoft Excel. } \examples{ library("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) p + theme_excel_new() + scale_colour_excel_new() } \seealso{ Other themes excel: \code{\link{theme_excel}()} } \concept{themes excel} ggthemes/man/excel_new_pal.Rd0000644000176200001440000000155615112366564015744 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/excel.R \name{excel_new_pal} \alias{excel_new_pal} \title{Excel (current versions) color palettes (discrete)} \usage{ excel_new_pal(theme = "Office Theme") } \arguments{ \item{theme}{The name of the Office theme or color theme (not to be confused with ggplot2 themes) from which to derive the color palette. Available themes include: \Sexpr[results=rd]{ggthemes:::rd_optlist(names(ggthemes::ggthemes_data$excel$themes))}} } \description{ Color palettes used by current versions of Microsoft Office and Excel. } \examples{ library("scales") for (i in names(ggthemes::ggthemes_data$excel$palettes)) { show_col(excel_new_pal(theme = i))(6) } } \seealso{ Other colour excel: \code{\link{excel_pal}()}, \code{\link{scale_colour_excel_new}()}, \code{\link{scale_fill_excel}()} } \concept{colour excel} ggthemes/man/scale_shape_cleveland.Rd0000644000176200001440000000724315112461554017415 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/shapes.R \name{scale_shape_cleveland} \alias{scale_shape_cleveland} \title{Shape scales from Cleveland "Elements of Graphing Data"} \usage{ scale_shape_cleveland(overlap = TRUE, ...) } \arguments{ \item{overlap}{\code{logical} Use the scale for overlapping points?} \item{...}{ Arguments passed on to \code{\link[ggplot2:discrete_scale]{discrete_scale}} \describe{ \item{\code{breaks}}{One of: \itemize{ \item \code{NULL} for no breaks \item \code{waiver()} for the default breaks (the scale limits) \item A character vector of breaks \item A function that takes the limits as input and returns breaks as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{limits}}{One of: \itemize{ \item \code{NULL} to use the default scale values \item A character vector that defines possible values of the scale and their order \item A function that accepts the existing (automatic) values and returns new ones. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{drop}}{Should unused factor levels be omitted from the scale? The default, \code{TRUE}, uses the levels that appear in the data; \code{FALSE} includes the levels in the factor. Please note that to display every level in a legend, the layer should use \code{show.legend = TRUE}.} \item{\code{na.translate}}{Unlike continuous scales, discrete scales can easily show missing values, and do so by default. If you want to remove missing values from a discrete scale, specify \code{na.translate = FALSE}.} \item{\code{na.value}}{If \code{na.translate = TRUE}, what aesthetic value should the missing values be displayed as? Does not apply to position scales where \code{NA} is always placed at the far right.} \item{\code{aesthetics}}{The names of the aesthetics that this scale works with.} \item{\code{minor_breaks}}{One of: \itemize{ \item \code{NULL} for no minor breaks \item \code{waiver()} for the default breaks (none for discrete, one minor break between each major break for continuous) \item A numeric vector of positions \item A function that given the limits returns a vector of minor breaks. Also accepts rlang \link[rlang:as_function]{lambda} function notation. When the function has two arguments, it will be given the limits and major break positions. }} \item{\code{labels}}{One of the options below. Please note that when \code{labels} is a vector, it is highly recommended to also set the \code{breaks} argument as a vector to protect against unintended mismatches. \itemize{ \item \code{NULL} for no labels \item \code{waiver()} for the default labels computed by the transformation object \item A character vector giving labels (must be same length as \code{breaks}) \item An expression vector (must be the same length as breaks). See ?plotmath for details. \item A function that takes the breaks as input and returns labels as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{call}}{The \code{call} used to construct the scale for reporting messages.} \item{\code{super}}{The super class to use for the constructed scale} }} } \description{ Shape scales from Cleveland "Elements of Graphing Data" } \references{ Cleveland WS. The Elements of Graphing Data. Revised Edition. Hobart Press, Summit, NJ, 1994, pp. 154-164, 234-239. } \seealso{ \code{\link{cleveland_shape_pal}()} for a description of the palette. Other shapes: \code{\link{circlefill_shape_pal}()}, \code{\link{cleveland_shape_pal}()}, \code{\link{scale_shape_circlefill}()}, \code{\link{scale_shape_tremmel}()}, \code{\link{tremmel_shape_pal}()} } \concept{shapes} ggthemes/man/scale_fivethirtyeight.Rd0000644000176200001440000000647115112461554017520 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/fivethirtyeight.R \name{scale_colour_fivethirtyeight} \alias{scale_colour_fivethirtyeight} \alias{scale_color_fivethirtyeight} \alias{scale_fill_fivethirtyeight} \title{FiveThirtyEight color scales} \usage{ scale_colour_fivethirtyeight(...) scale_color_fivethirtyeight(...) scale_fill_fivethirtyeight(...) } \arguments{ \item{...}{ Arguments passed on to \code{\link[ggplot2:discrete_scale]{discrete_scale}} \describe{ \item{\code{breaks}}{One of: \itemize{ \item \code{NULL} for no breaks \item \code{waiver()} for the default breaks (the scale limits) \item A character vector of breaks \item A function that takes the limits as input and returns breaks as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{limits}}{One of: \itemize{ \item \code{NULL} to use the default scale values \item A character vector that defines possible values of the scale and their order \item A function that accepts the existing (automatic) values and returns new ones. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{drop}}{Should unused factor levels be omitted from the scale? The default, \code{TRUE}, uses the levels that appear in the data; \code{FALSE} includes the levels in the factor. Please note that to display every level in a legend, the layer should use \code{show.legend = TRUE}.} \item{\code{na.translate}}{Unlike continuous scales, discrete scales can easily show missing values, and do so by default. If you want to remove missing values from a discrete scale, specify \code{na.translate = FALSE}.} \item{\code{minor_breaks}}{One of: \itemize{ \item \code{NULL} for no minor breaks \item \code{waiver()} for the default breaks (none for discrete, one minor break between each major break for continuous) \item A numeric vector of positions \item A function that given the limits returns a vector of minor breaks. Also accepts rlang \link[rlang:as_function]{lambda} function notation. When the function has two arguments, it will be given the limits and major break positions. }} \item{\code{labels}}{One of the options below. Please note that when \code{labels} is a vector, it is highly recommended to also set the \code{breaks} argument as a vector to protect against unintended mismatches. \itemize{ \item \code{NULL} for no labels \item \code{waiver()} for the default labels computed by the transformation object \item A character vector giving labels (must be same length as \code{breaks}) \item An expression vector (must be the same length as breaks). See ?plotmath for details. \item A function that takes the breaks as input and returns labels as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{guide}}{A function used to create a guide or its name. See \code{\link[ggplot2:guides]{guides()}} for more information.} \item{\code{call}}{The \code{call} used to construct the scale for reporting messages.} \item{\code{super}}{The super class to use for the constructed scale} }} } \description{ Color scales using the colors in the FiveThirtyEight graphics. } \seealso{ \code{\link{theme_fivethirtyeight}()} for examples. Other colour fivethirtyeight: \code{\link{fivethirtyeight_pal}()} } \concept{colour fivethirtyeight} ggthemes/man/smart_digits.Rd0000644000176200001440000000145615112366564015627 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/scales.R \name{smart_digits} \alias{smart_digits} \alias{smart_digits_format} \title{Format numbers with automatic number of digits} \usage{ smart_digits(x, ...) smart_digits_format(x, ...) } \arguments{ \item{x}{A numeric vector to format} \item{...}{Parameters passed to \code{\link{format}()}} } \value{ A character vector. \code{smart_digits_format()} returns a function with a single argument \code{x}, a numeric vector, that returns a character vector. } \description{ Format numbers with automatic number of digits } \references{ Josh O'Brien, \url{https://stackoverflow.com/questions/23169938/select-accuracy-to-display-additional-axis-breaks/23171858#23171858}. } \author{ Josh O'Brien, Baptise Auguie, Jeffrey B. Arnold } ggthemes/man/fivethirtyeight_pal.Rd0000644000176200001440000000101115112366564017173 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/fivethirtyeight.R \name{fivethirtyeight_pal} \alias{fivethirtyeight_pal} \title{FiveThirtyEight color palette} \usage{ fivethirtyeight_pal() } \description{ The standard three-color FiveThirtyEight palette for line plots comprises blue, red, and green. } \examples{ library("scales") show_col(fivethirtyeight_pal()(3)) } \seealso{ Other colour fivethirtyeight: \code{\link{scale_colour_fivethirtyeight}()} } \concept{colour fivethirtyeight} ggthemes/man/theme_par.Rd0000644000176200001440000000331615112366564015077 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/base.R \name{theme_par} \alias{theme_par} \title{Theme which uses the current \sQuote{base} graphics parameter values from \code{\link[graphics]{par}()}. Not all \code{par()} parameters, are supported, and not all are relevant to \pkg{ggplot2} themes.} \usage{ theme_par(base_size = par()$ps, base_family = par()$family) } \arguments{ \item{base_size}{base font size, given in pts.} \item{base_family}{base font family} } \description{ Currently this theme uses the values of the parameters: \code{"code"}, "\code{"ps"}", \code{"code"} \code{"family"}, \code{"fg"}, \code{"bg"}, \code{"adj"}, \code{"font"}, \code{"cex.axis"}, \code{"cex.lab"}, \code{"cex.main"}, \code{"cex.sub"}, \code{"col.axis"}, \code{"col.lab"}, \code{"col.main"}, \code{"col.sub"}, \code{"font"}, \code{"font.axis"}, \code{"font.lab"}, \code{"font.main"}, \code{"font.sub"}, \code{"las"}, \code{"lend"}, \code{"lheight"}, \code{"lty"}, \code{"mar"}, \code{"ps"}, \code{"tcl"}, \code{"tck"}, \code{"xaxt"}, \code{"yaxt"}. } \details{ This theme does not translate the base graphics perfectly, so the graphs produced by it will not be identical to those produced by base graphics, most notably in the spacing of the margins. } \examples{ library("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) p + theme_par() # theme changes with respect to values of par par(font = 2, col.lab = "red", fg = "white", bg = "black") p + theme_par() } \seealso{ Other themes: \code{\link{theme_base}()}, \code{\link{theme_clean}()}, \code{\link{theme_foundation}()}, \code{\link{theme_igray}()}, \code{\link{theme_solid}()} } \concept{themes} ggthemes/man/scale_shape_tremmel.Rd0000644000176200001440000000760615112461554017130 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/shapes.R \name{scale_shape_tremmel} \alias{scale_shape_tremmel} \title{Shape scales from Tremmel (1995)} \usage{ scale_shape_tremmel(overlap = FALSE, alt = TRUE, ...) } \arguments{ \item{overlap}{use an empty circle instead of a solid circle when \code{n == 2}.} \item{alt}{If \code{TRUE}, then when \code{n == 3}, use a solid circle, plus sign and empty triangle. Otherwise use a solid circle, empty circle, and empty triangle.} \item{...}{ Arguments passed on to \code{\link[ggplot2:discrete_scale]{discrete_scale}} \describe{ \item{\code{breaks}}{One of: \itemize{ \item \code{NULL} for no breaks \item \code{waiver()} for the default breaks (the scale limits) \item A character vector of breaks \item A function that takes the limits as input and returns breaks as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{limits}}{One of: \itemize{ \item \code{NULL} to use the default scale values \item A character vector that defines possible values of the scale and their order \item A function that accepts the existing (automatic) values and returns new ones. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{drop}}{Should unused factor levels be omitted from the scale? The default, \code{TRUE}, uses the levels that appear in the data; \code{FALSE} includes the levels in the factor. Please note that to display every level in a legend, the layer should use \code{show.legend = TRUE}.} \item{\code{na.translate}}{Unlike continuous scales, discrete scales can easily show missing values, and do so by default. If you want to remove missing values from a discrete scale, specify \code{na.translate = FALSE}.} \item{\code{na.value}}{If \code{na.translate = TRUE}, what aesthetic value should the missing values be displayed as? Does not apply to position scales where \code{NA} is always placed at the far right.} \item{\code{aesthetics}}{The names of the aesthetics that this scale works with.} \item{\code{minor_breaks}}{One of: \itemize{ \item \code{NULL} for no minor breaks \item \code{waiver()} for the default breaks (none for discrete, one minor break between each major break for continuous) \item A numeric vector of positions \item A function that given the limits returns a vector of minor breaks. Also accepts rlang \link[rlang:as_function]{lambda} function notation. When the function has two arguments, it will be given the limits and major break positions. }} \item{\code{labels}}{One of the options below. Please note that when \code{labels} is a vector, it is highly recommended to also set the \code{breaks} argument as a vector to protect against unintended mismatches. \itemize{ \item \code{NULL} for no labels \item \code{waiver()} for the default labels computed by the transformation object \item A character vector giving labels (must be same length as \code{breaks}) \item An expression vector (must be the same length as breaks). See ?plotmath for details. \item A function that takes the breaks as input and returns labels as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{call}}{The \code{call} used to construct the scale for reporting messages.} \item{\code{super}}{The super class to use for the constructed scale} }} } \description{ Shape scales from Tremmel (1995) } \examples{ library("ggplot2") p <- ggplot(mtcars, aes(x = mpg, y = hp, shape = factor(cyl))) + geom_point() p + scale_shape_tremmel() p + scale_shape_tremmel(alt = TRUE) p + scale_shape_tremmel(overlap = TRUE) } \seealso{ \code{\link{tremmel_shape_pal}()} for a description of the palette. Other shapes: \code{\link{circlefill_shape_pal}()}, \code{\link{cleveland_shape_pal}()}, \code{\link{scale_shape_circlefill}()}, \code{\link{scale_shape_cleveland}()}, \code{\link{tremmel_shape_pal}()} } \concept{shapes} ggthemes/man/theme_few.Rd0000644000176200001440000000223115112366564015071 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/few.R \name{theme_few} \alias{theme_few} \title{Theme based on Few's "Practical Rules for Using Color in Charts"} \usage{ theme_few(base_size = 12, base_family = "") } \arguments{ \item{base_size}{base font size, given in pts.} \item{base_family}{base font family} } \description{ Theme based on the rules and examples from Stephen Few's \emph{Show Me the Numbers} and "Practical Rules for Using Color in Charts". } \examples{ library("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) p + theme_few() + scale_colour_few() p + theme_few() + scale_colour_few("Light") p + theme_few() + scale_colour_few("Dark") ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, shape = factor(gear))) + theme_few() + scale_shape_few() } \references{ Few, S. (2012) \emph{Show Me the Numbers: Designing Tables and Graphs to Enlighten}. 2nd edition. Analytics Press. Stephen Few, "Practical Rules for Using Color in Charts", \url{https://www.perceptualedge.com/articles/visual_business_intelligence/rules_for_using_color.pdf}. } \concept{themes few} ggthemes/man/theme_stata.Rd0000644000176200001440000000324315112461554015423 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/stata.R \name{theme_stata} \alias{theme_stata} \title{Themes based on Stata graph schemes} \usage{ theme_stata(base_size = 11, base_family = "sans", scheme = "s2color") } \arguments{ \item{base_size}{base font size, given in pts.} \item{base_family}{base font family} \item{scheme}{One of "s2color", "s2mono", "s1color", "s1rcolor", or "s1mono", "s2manual", "s1manual", or "sj"} } \description{ Themes based on Stata graph schemes } \details{ These themes approximate Stata schemes using the features \pkg{ggplot2}. The graphical models of Stata and ggplot2 differ in various ways that make an exact replication impossible (or more difficult than it is worth). Some features in Stata schemes not in ggplot2: defaults for specific graph types, different levels of titles, captions and notes. These themes also adopt some of the ggplot2 defaults, and more effort was made to match the colors and sizes of major elements than in matching the margins. } \examples{ library("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) + labs( title = "Graphs by car type", x = "Weight (lbs.)", y = "MPG" ) # s2color p + theme_stata() + scale_colour_stata("s2color") # s2mono p + theme_stata(scheme = "s2mono") + scale_colour_stata("mono") # s1color p + theme_stata(scheme = "s2color") + scale_colour_stata("s1color") # s1rcolor p + theme_stata(scheme = "s1rcolor") + scale_colour_stata("s1rcolor") # s1mono p + theme_stata(scheme = "s1mono") + scale_colour_stata("mono") } \references{ \url{https://www.stata.com/help.cgi?schemes} } \concept{themes stata} ggthemes/man/show_linetypes.Rd0000644000176200001440000000130415112366564016202 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/show.R \name{show_linetypes} \alias{show_linetypes} \title{Show linetypes} \usage{ show_linetypes(linetypes, labels = TRUE) } \arguments{ \item{linetypes}{A character vector of linetypes. See \code{\link{par}()}.} \item{labels}{Label each line with its linetype (lty) value.} } \value{ This function called for the side effect of creating a plot. It returns \code{linetypes}. } \description{ A quick and dirty way to show linetypes. } \examples{ library("scales") show_linetypes(linetype_pal()(3)) show_linetypes(linetype_pal()(3), labels = TRUE) } \seealso{ \code{\link[scales]{show_col}()}, \code{\link{show_linetypes}()} } ggthemes/man/stata_linetype_pal.Rd0000644000176200001440000000071515112366564017014 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/stata.R \name{stata_linetype_pal} \alias{stata_linetype_pal} \title{Stata linetype palette (discrete)} \usage{ stata_linetype_pal() } \description{ Linetype palette based on the linepattern scheme in Stata. This palette supports up to 15 values. } \seealso{ \code{\link{scale_linetype_stata}()} Other linetype stata: \code{\link{scale_linetype_stata}()} } \concept{linetype stata} ggthemes/man/scale_shape_few.Rd0000644000176200001440000000125315112366564016241 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/few.R \name{scale_shape_few} \alias{scale_shape_few} \title{Scales for shapes from "Show Me the Numbers"} \usage{ scale_shape_few(...) } \arguments{ \item{...}{Common \code{\link[ggplot2]{discrete_scale}()} parameters.} } \description{ \code{scale_shape_few()} maps discrete variables to up to five easily discernible shapes. It is based on the shape palette suggested in Few (2012). } \references{ Few, S. (2012) \emph{Show Me the Numbers: Designing Tables and Graphs to Enlighten}, Analytics Press, p. 208. } \seealso{ \code{\link{scale_shape_few}()} for the shape palette that this scale uses. } ggthemes/man/scale_hc.Rd0000644000176200001440000000656115112461554014674 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/hc.R \name{scale_colour_hc} \alias{scale_colour_hc} \alias{scale_color_hc} \alias{scale_fill_hc} \title{Highcharts color and fill scales} \usage{ scale_colour_hc(palette = "default", ...) scale_color_hc(palette = "default", ...) scale_fill_hc(palette = "default", ...) } \arguments{ \item{palette}{\code{character} The name of the Highcharts theme to use. One of \code{"default"}, or \code{"darkunica"}.} \item{...}{ Arguments passed on to \code{\link[ggplot2:discrete_scale]{discrete_scale}} \describe{ \item{\code{breaks}}{One of: \itemize{ \item \code{NULL} for no breaks \item \code{waiver()} for the default breaks (the scale limits) \item A character vector of breaks \item A function that takes the limits as input and returns breaks as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{limits}}{One of: \itemize{ \item \code{NULL} to use the default scale values \item A character vector that defines possible values of the scale and their order \item A function that accepts the existing (automatic) values and returns new ones. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{drop}}{Should unused factor levels be omitted from the scale? The default, \code{TRUE}, uses the levels that appear in the data; \code{FALSE} includes the levels in the factor. Please note that to display every level in a legend, the layer should use \code{show.legend = TRUE}.} \item{\code{na.translate}}{Unlike continuous scales, discrete scales can easily show missing values, and do so by default. If you want to remove missing values from a discrete scale, specify \code{na.translate = FALSE}.} \item{\code{minor_breaks}}{One of: \itemize{ \item \code{NULL} for no minor breaks \item \code{waiver()} for the default breaks (none for discrete, one minor break between each major break for continuous) \item A numeric vector of positions \item A function that given the limits returns a vector of minor breaks. Also accepts rlang \link[rlang:as_function]{lambda} function notation. When the function has two arguments, it will be given the limits and major break positions. }} \item{\code{labels}}{One of the options below. Please note that when \code{labels} is a vector, it is highly recommended to also set the \code{breaks} argument as a vector to protect against unintended mismatches. \itemize{ \item \code{NULL} for no labels \item \code{waiver()} for the default labels computed by the transformation object \item A character vector giving labels (must be same length as \code{breaks}) \item An expression vector (must be the same length as breaks). See ?plotmath for details. \item A function that takes the breaks as input and returns labels as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{guide}}{A function used to create a guide or its name. See \code{\link[ggplot2:guides]{guides()}} for more information.} \item{\code{call}}{The \code{call} used to construct the scale for reporting messages.} \item{\code{super}}{The super class to use for the constructed scale} }} } \description{ Colour and fill scales which use the palettes in \code{\link{hc_pal}()} and are meant for use with \code{\link{theme_hc}()}. } \seealso{ Other colour hc: \code{\link{hc_pal}()} } \concept{colour hc} ggthemes/man/scale_economist.Rd0000644000176200001440000000634515112461554016302 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/economist.R \name{scale_colour_economist} \alias{scale_colour_economist} \alias{scale_color_economist} \alias{scale_fill_economist} \title{Economist color scales} \usage{ scale_colour_economist(...) scale_color_economist(...) scale_fill_economist(...) } \arguments{ \item{...}{ Arguments passed on to \code{\link[ggplot2:discrete_scale]{discrete_scale}} \describe{ \item{\code{breaks}}{One of: \itemize{ \item \code{NULL} for no breaks \item \code{waiver()} for the default breaks (the scale limits) \item A character vector of breaks \item A function that takes the limits as input and returns breaks as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{limits}}{One of: \itemize{ \item \code{NULL} to use the default scale values \item A character vector that defines possible values of the scale and their order \item A function that accepts the existing (automatic) values and returns new ones. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{drop}}{Should unused factor levels be omitted from the scale? The default, \code{TRUE}, uses the levels that appear in the data; \code{FALSE} includes the levels in the factor. Please note that to display every level in a legend, the layer should use \code{show.legend = TRUE}.} \item{\code{na.translate}}{Unlike continuous scales, discrete scales can easily show missing values, and do so by default. If you want to remove missing values from a discrete scale, specify \code{na.translate = FALSE}.} \item{\code{minor_breaks}}{One of: \itemize{ \item \code{NULL} for no minor breaks \item \code{waiver()} for the default breaks (none for discrete, one minor break between each major break for continuous) \item A numeric vector of positions \item A function that given the limits returns a vector of minor breaks. Also accepts rlang \link[rlang:as_function]{lambda} function notation. When the function has two arguments, it will be given the limits and major break positions. }} \item{\code{labels}}{One of the options below. Please note that when \code{labels} is a vector, it is highly recommended to also set the \code{breaks} argument as a vector to protect against unintended mismatches. \itemize{ \item \code{NULL} for no labels \item \code{waiver()} for the default labels computed by the transformation object \item A character vector giving labels (must be same length as \code{breaks}) \item An expression vector (must be the same length as breaks). See ?plotmath for details. \item A function that takes the breaks as input and returns labels as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{guide}}{A function used to create a guide or its name. See \code{\link[ggplot2:guides]{guides()}} for more information.} \item{\code{call}}{The \code{call} used to construct the scale for reporting messages.} \item{\code{super}}{The super class to use for the constructed scale} }} } \description{ Color scales using the colors in the Economist graphics. } \seealso{ \code{\link{theme_economist}()} for examples. Other colour economist: \code{\link{economist_pal}()} } \concept{colour economist} ggthemes/man/theme_clean.Rd0000644000176200001440000000153215112366564015375 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/clean.R \name{theme_clean} \alias{theme_clean} \title{Clean ggplot theme} \usage{ theme_clean(base_size = 12, base_family = "sans") } \arguments{ \item{base_size}{Base font size.} \item{base_family}{Base font family.} } \description{ Clean ggplot theme with no panel background, black axis lines and grey fill colour for chart elements. } \examples{ library("ggplot2") p <- ggplot(mtcars, aes(x = wt, y = mpg, colour = factor(gear))) + geom_point() + facet_wrap(~am) + geom_smooth(method = "lm", se = FALSE) + theme_clean() p } \seealso{ Other themes: \code{\link{theme_base}()}, \code{\link{theme_foundation}()}, \code{\link{theme_igray}()}, \code{\link{theme_par}()}, \code{\link{theme_solid}()} } \author{ Konrad Zdeb \email{name.surname@me.com} } \concept{themes} ggthemes/man/theme_base.Rd0000644000176200001440000000151115112461554015215 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/base.R \name{theme_base} \alias{theme_base} \title{Theme Base} \usage{ theme_base(base_size = 16, base_family = "") } \arguments{ \item{base_size}{base font size, given in pts.} \item{base_family}{base font family} } \description{ Theme similar to the default settings of the \sQuote{base} R graphics. } \examples{ library("ggplot2") p <- ggplot(mtcars) + geom_point(aes( x = wt, y = mpg, colour = factor(gear) )) + facet_wrap(~am) p + theme_base() # Change values of par par(fg = "blue", bg = "gray", col.lab = "red", font.lab = 3) p + theme_base() } \seealso{ Other themes: \code{\link{theme_clean}()}, \code{\link{theme_foundation}()}, \code{\link{theme_igray}()}, \code{\link{theme_par}()}, \code{\link{theme_solid}()} } \concept{themes} ggthemes/man/theme_solid.Rd0000644000176200001440000000170615112373173015422 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/theme-solid.R \name{theme_solid} \alias{theme_solid} \title{Theme with nothing other than a background color} \usage{ theme_solid(base_size = 12, base_family = "", fill = NA) } \arguments{ \item{base_size}{Base font size.} \item{base_family}{Ignored, kept for consistency with \code{\link[ggplot2]{theme}()}.} \item{fill}{Background color of the plot.} } \description{ Theme that removes all non-geom elements (lines, text, etc), This theme is when only the geometric objects are desired. } \examples{ library("ggplot2") ggplot(mtcars, aes(wt, mpg)) + geom_point() + theme_solid(fill = "white") ggplot(mtcars, aes(wt, mpg)) + geom_point(color = "white") + theme_solid(fill = "black") } \seealso{ Other themes: \code{\link{theme_base}()}, \code{\link{theme_clean}()}, \code{\link{theme_foundation}()}, \code{\link{theme_igray}()}, \code{\link{theme_par}()} } \concept{themes} ggthemes/man/gdocs_pal.Rd0000644000176200001440000000064115112366564015064 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gdocs.R \name{gdocs_pal} \alias{gdocs_pal} \title{Google Docs color palette (discrete)} \usage{ gdocs_pal() } \description{ Color palettes from Google Docs. This palette includes 20 colors. } \examples{ library("scales") show_col(gdocs_pal()(24)) } \seealso{ Other colour gdocs: \code{\link{scale_fill_gdocs}()} } \concept{colour gdocs} ggthemes/man/scale_linetype_stata.Rd0000644000176200001440000000712315112461554017322 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/stata.R \name{scale_linetype_stata} \alias{scale_linetype_stata} \title{Stata linetype palette (discrete)} \usage{ scale_linetype_stata(...) } \arguments{ \item{...}{ Arguments passed on to \code{\link[ggplot2:discrete_scale]{discrete_scale}} \describe{ \item{\code{breaks}}{One of: \itemize{ \item \code{NULL} for no breaks \item \code{waiver()} for the default breaks (the scale limits) \item A character vector of breaks \item A function that takes the limits as input and returns breaks as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{limits}}{One of: \itemize{ \item \code{NULL} to use the default scale values \item A character vector that defines possible values of the scale and their order \item A function that accepts the existing (automatic) values and returns new ones. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{drop}}{Should unused factor levels be omitted from the scale? The default, \code{TRUE}, uses the levels that appear in the data; \code{FALSE} includes the levels in the factor. Please note that to display every level in a legend, the layer should use \code{show.legend = TRUE}.} \item{\code{na.translate}}{Unlike continuous scales, discrete scales can easily show missing values, and do so by default. If you want to remove missing values from a discrete scale, specify \code{na.translate = FALSE}.} \item{\code{na.value}}{If \code{na.translate = TRUE}, what aesthetic value should the missing values be displayed as? Does not apply to position scales where \code{NA} is always placed at the far right.} \item{\code{aesthetics}}{The names of the aesthetics that this scale works with.} \item{\code{minor_breaks}}{One of: \itemize{ \item \code{NULL} for no minor breaks \item \code{waiver()} for the default breaks (none for discrete, one minor break between each major break for continuous) \item A numeric vector of positions \item A function that given the limits returns a vector of minor breaks. Also accepts rlang \link[rlang:as_function]{lambda} function notation. When the function has two arguments, it will be given the limits and major break positions. }} \item{\code{labels}}{One of the options below. Please note that when \code{labels} is a vector, it is highly recommended to also set the \code{breaks} argument as a vector to protect against unintended mismatches. \itemize{ \item \code{NULL} for no labels \item \code{waiver()} for the default labels computed by the transformation object \item A character vector giving labels (must be same length as \code{breaks}) \item An expression vector (must be the same length as breaks). See ?plotmath for details. \item A function that takes the breaks as input and returns labels as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{call}}{The \code{call} used to construct the scale for reporting messages.} \item{\code{super}}{The super class to use for the constructed scale} }} } \description{ See \code{\link{stata_linetype_pal}()} for details. } \examples{ require("ggplot2") if (require("tidyr") && require("dplyr")) { rescale01 <- function(x) { (x - min(x)) / diff(range(x)) } gather(economics, variable, value, -date) \%>\% group_by(variable) \%>\% mutate(value = rescale01(value)) \%>\% ggplot(aes(x = date, y = value, linetype = variable)) + geom_line() + scale_linetype_stata() } } \seealso{ Other linetype stata: \code{\link{stata_linetype_pal}()} } \concept{linetype stata} ggthemes/man/stata_shape_pal.Rd0000644000176200001440000000064015112366564016260 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/stata.R \name{stata_shape_pal} \alias{stata_shape_pal} \title{Stata shape palette (discrete)} \usage{ stata_shape_pal() } \description{ Shape palette based on the symbol palette in Stata used in scheme s2mono. This palette supports up to 10 values. } \seealso{ See \code{\link{scale_shape_stata}()} for examples. } \concept{shapes stata} ggthemes/man/bank_slopes.Rd0000644000176200001440000000663615112366564015443 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/banking.R \name{bank_slopes} \alias{bank_slopes} \title{Bank Slopes to 45 degrees} \usage{ bank_slopes(x, y, cull = FALSE, weight = NULL, method = c("ms", "as"), ...) } \arguments{ \item{x}{x values} \item{y}{y values} \item{cull}{\code{logical}. Remove all slopes of 0 or \code{Inf}.} \item{weight}{No longer used, but kept for backwards compatibility.} \item{method}{One of 'ms' (Median Absolute Slope) or 'as' (Average Absolute Slope). Other options are no longer supported, and will use 'ms' instead with a warning.} \item{...}{No longer used, but kept for backwards compatibility.} } \value{ \code{numeric} The aspect ratio (x , y). } \description{ Calculate the optimal aspect ratio of a line graph by banking the slopes to 45 degrees as suggested by W.S. Cleveland. This maximizes the ability to visually differentiate differences in slope. This function will calculate the optimal aspect ratio for a line plot using any of the methods described in Herr and Argwala (2006). In their review of the methods they suggest using median absolute slope banking ('ms'), which produces aspect ratios which are generally the median of the various methods provided here. } \section{Methods}{ As written, all of these methods calculate the aspect ratio (x /y), but \code{bank_slopes} will return (y / x) to be compatible with \code{link[ggplot2]{coord_fixed()}}. \strong{Median Absolute Slopes Banking} Let the aspect ratio be \eqn{\alpha = \frac{w}{h}}{alpha = w / h} then the median absolute slop banking is the \eqn{\alpha}{alpha} such that, \deqn{ median \left| \frac{s_i}{\alpha} \right| = 1 }{ median |s_i / alpha| } Let \eqn{R_z = z_{max} - z_{min}}{R_z = z_max - z_min} for \eqn{z = x, y}, and \eqn{M = median \| s_i \|}{M = median | s_i |}. Then, \deqn{ \alpha = M \frac{R_x}{R_y} }{ alpha = M R_x / R_y } \strong{Average Absolute Slope Banking} Let the aspect ratio be \eqn{\alpha = \frac{w}{h}}{alpha = w/h}. then the mean absolute slope banking is the \eqn{\alpha}{alpha} such that, \deqn{ mean \left| \frac{s_i}{\alpha} \right| = 1 }{ mean |s_i / alpha| = 1 } Heer and Agrawala (2006) and Cleveland discuss several other methods including average (weighted) orientation, and global and local orientation resolution. These are no longer implemented in this function. In general, either the median or average absolute slopes will produce reasonable results without requiring optimization. } \examples{ library("ggplot2") # Use the classic sunspot data from Cleveland's original paper x <- seq_along(sunspot.year) y <- as.numeric(sunspot.year) # Without banking m <- ggplot(data.frame(x = x, y = y), aes(x = x, y = y)) + geom_line() m ## Using the default method, Median Absolute Slope ratio <- bank_slopes(x, y) m + coord_fixed(ratio = ratio) ## Using culling ## Average Absolute Slope bank_slopes(x, y, method = "as") } \references{ Cleveland, W. S., M. E. McGill, and R. McGill. The Shape Parameter of a Two-Variable Graph. Journal of the American Statistical Association, 83:289-300, 1988 Heer, Jeffrey and Maneesh Agrawala, 2006. 'Multi-Scale Banking to 45' IEEE Transactions On Visualization And Computer Graphics. Cleveland, W. S. 1993. 'A Model for Studying Display Methods of Statistical Graphs.' Journal of Computational and Statistical Graphics. Cleveland, W. S. 1994. The Elements of Graphing Data, Revised Edition. } \seealso{ \code{\link[lattice]{banking}()} } ggthemes/man/scale_pander.Rd0000644000176200001440000000643215112461554015550 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/pander.R \name{scale_color_pander} \alias{scale_color_pander} \alias{scale_colour_pander} \alias{scale_fill_pander} \title{Color scale from the pander package} \usage{ scale_color_pander(...) scale_colour_pander(...) scale_fill_pander(...) } \arguments{ \item{...}{ Arguments passed on to \code{\link[ggplot2:discrete_scale]{discrete_scale}} \describe{ \item{\code{breaks}}{One of: \itemize{ \item \code{NULL} for no breaks \item \code{waiver()} for the default breaks (the scale limits) \item A character vector of breaks \item A function that takes the limits as input and returns breaks as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{limits}}{One of: \itemize{ \item \code{NULL} to use the default scale values \item A character vector that defines possible values of the scale and their order \item A function that accepts the existing (automatic) values and returns new ones. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{drop}}{Should unused factor levels be omitted from the scale? The default, \code{TRUE}, uses the levels that appear in the data; \code{FALSE} includes the levels in the factor. Please note that to display every level in a legend, the layer should use \code{show.legend = TRUE}.} \item{\code{na.translate}}{Unlike continuous scales, discrete scales can easily show missing values, and do so by default. If you want to remove missing values from a discrete scale, specify \code{na.translate = FALSE}.} \item{\code{minor_breaks}}{One of: \itemize{ \item \code{NULL} for no minor breaks \item \code{waiver()} for the default breaks (none for discrete, one minor break between each major break for continuous) \item A numeric vector of positions \item A function that given the limits returns a vector of minor breaks. Also accepts rlang \link[rlang:as_function]{lambda} function notation. When the function has two arguments, it will be given the limits and major break positions. }} \item{\code{labels}}{One of the options below. Please note that when \code{labels} is a vector, it is highly recommended to also set the \code{breaks} argument as a vector to protect against unintended mismatches. \itemize{ \item \code{NULL} for no labels \item \code{waiver()} for the default labels computed by the transformation object \item A character vector giving labels (must be same length as \code{breaks}) \item An expression vector (must be the same length as breaks). See ?plotmath for details. \item A function that takes the breaks as input and returns labels as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{guide}}{A function used to create a guide or its name. See \code{\link[ggplot2:guides]{guides()}} for more information.} \item{\code{call}}{The \code{call} used to construct the scale for reporting messages.} \item{\code{super}}{The super class to use for the constructed scale} }} } \description{ The \pkg{pander} ships with a default colorblind and printer-friendly color palette borrowed from \verb{https://jfly.iam.u-tokyo.ac.jp/color/}. } \seealso{ \code{\link{theme_pander}()} Other colour pander: \code{\link{palette_pander}()} } \concept{colour pander} ggthemes/man/solarized_pal.Rd0000644000176200001440000000155715112366564015770 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/solarized.R \name{solarized_pal} \alias{solarized_pal} \title{Solarized color palette (discrete)} \usage{ solarized_pal(accent = "blue") } \arguments{ \item{accent}{\code{character} Starting color.} } \description{ Qualitative color palate based on the Ethan Schoonover's Solarized palette, \url{https://ethanschoonover.com/solarized/}. This palette supports up to seven values. } \note{ For a given starting color and number of colors in the palette, the other colors are the combination of colors that maximizes the total Euclidean distance between colors in L*a*b space. } \examples{ library("scales") show_col(solarized_pal()(2)) show_col(solarized_pal()(3)) show_col(solarized_pal("red")(4)) } \seealso{ Other solarized colour: \code{\link{scale_fill_solarized}()} } \concept{solarized colour} ggthemes/man/scale_shape_circlefill.Rd0000644000176200001440000000664715112461554017577 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/shapes.R \name{scale_shape_circlefill} \alias{scale_shape_circlefill} \title{Filled Circle Shape palette (discrete)} \usage{ scale_shape_circlefill(...) } \arguments{ \item{...}{ Arguments passed on to \code{\link[ggplot2:discrete_scale]{discrete_scale}} \describe{ \item{\code{breaks}}{One of: \itemize{ \item \code{NULL} for no breaks \item \code{waiver()} for the default breaks (the scale limits) \item A character vector of breaks \item A function that takes the limits as input and returns breaks as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{limits}}{One of: \itemize{ \item \code{NULL} to use the default scale values \item A character vector that defines possible values of the scale and their order \item A function that accepts the existing (automatic) values and returns new ones. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{drop}}{Should unused factor levels be omitted from the scale? The default, \code{TRUE}, uses the levels that appear in the data; \code{FALSE} includes the levels in the factor. Please note that to display every level in a legend, the layer should use \code{show.legend = TRUE}.} \item{\code{na.translate}}{Unlike continuous scales, discrete scales can easily show missing values, and do so by default. If you want to remove missing values from a discrete scale, specify \code{na.translate = FALSE}.} \item{\code{na.value}}{If \code{na.translate = TRUE}, what aesthetic value should the missing values be displayed as? Does not apply to position scales where \code{NA} is always placed at the far right.} \item{\code{aesthetics}}{The names of the aesthetics that this scale works with.} \item{\code{minor_breaks}}{One of: \itemize{ \item \code{NULL} for no minor breaks \item \code{waiver()} for the default breaks (none for discrete, one minor break between each major break for continuous) \item A numeric vector of positions \item A function that given the limits returns a vector of minor breaks. Also accepts rlang \link[rlang:as_function]{lambda} function notation. When the function has two arguments, it will be given the limits and major break positions. }} \item{\code{labels}}{One of the options below. Please note that when \code{labels} is a vector, it is highly recommended to also set the \code{breaks} argument as a vector to protect against unintended mismatches. \itemize{ \item \code{NULL} for no labels \item \code{waiver()} for the default labels computed by the transformation object \item A character vector giving labels (must be same length as \code{breaks}) \item An expression vector (must be the same length as breaks). See ?plotmath for details. \item A function that takes the breaks as input and returns labels as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{call}}{The \code{call} used to construct the scale for reporting messages.} \item{\code{super}}{The super class to use for the constructed scale} }} } \description{ `r lifecycle::badge("deprecated")` } \seealso{ \code{\link{circlefill_shape_pal}()} for a description of the palette. Other shapes: \code{\link{circlefill_shape_pal}()}, \code{\link{cleveland_shape_pal}()}, \code{\link{scale_shape_cleveland}()}, \code{\link{scale_shape_tremmel}()}, \code{\link{tremmel_shape_pal}()} } \concept{shapes} ggthemes/man/scale_color_tableau.Rd0000644000176200001440000000354315112461554017112 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/tableau.R \name{scale_colour_tableau} \alias{scale_colour_tableau} \alias{scale_fill_tableau} \alias{scale_color_tableau} \title{Tableau color scales (discrete)} \usage{ scale_colour_tableau( palette = "Tableau 10", type = "regular", direction = 1, ... ) scale_fill_tableau( palette = "Tableau 10", type = "regular", direction = 1, ... ) scale_color_tableau( palette = "Tableau 10", type = "regular", direction = 1, ... ) } \arguments{ \item{palette}{Palette name. See \funclink{tableau_color_pal} for available palettes.} \item{type}{Palette type. One of \code{"regular"}, \code{"sequential"}, or \code{"diverging"}. See \funclink{tableau_color_pal}.} \item{direction}{If 1, the default, then use the original order of colors. If -1, then reverse the order.} \item{...}{Other arguments passed on to \code{\link[ggplot2]{discrete_scale}()}.} } \description{ Categorical (qualitative) color scales used in Tableau. Use the function \funclink{scale_colour_gradient_tableau} for the sequential and \funclink{scale_colour_gradient2_tableau} for the diverging continuous color scales from Tableu. } \examples{ library("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) + theme_igray() palettes <- ggthemes_data[["tableau"]][["color-palettes"]][["regular"]] for (palette in head(names(palettes), 3L)) { print(p + scale_colour_tableau(palette) + ggtitle(palette)) } # the order of colour can be reversed p + scale_color_tableau(direction = -1) } \seealso{ \code{\link{tableau_color_pal}()} for references. Other colour tableau: \code{\link{scale_colour_gradient2_tableau}()}, \code{\link{scale_colour_gradient_tableau}()}, \code{\link{tableau_color_pal}()}, \code{\link{tableau_gradient_pal}()} } \concept{colour tableau} ggthemes/man/scale_stata.Rd0000644000176200001440000000635315112461554015415 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/stata.R \name{scale_colour_stata} \alias{scale_colour_stata} \alias{scale_fill_stata} \alias{scale_color_stata} \title{Stata color scales} \usage{ scale_colour_stata(scheme = "s2color", ...) scale_fill_stata(scheme = "s2color", ...) scale_color_stata(scheme = "s2color", ...) } \arguments{ \item{scheme}{\code{character}. One of \code{"s2color"}, \code{"s1rcolor"}, \code{"s1color"}, or \code{"mono"}.} \item{...}{ Arguments passed on to \code{\link[ggplot2:discrete_scale]{discrete_scale}} \describe{ \item{\code{breaks}}{One of: \itemize{ \item \code{NULL} for no breaks \item \code{waiver()} for the default breaks (the scale limits) \item A character vector of breaks \item A function that takes the limits as input and returns breaks as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{limits}}{One of: \itemize{ \item \code{NULL} to use the default scale values \item A character vector that defines possible values of the scale and their order \item A function that accepts the existing (automatic) values and returns new ones. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{drop}}{Should unused factor levels be omitted from the scale? The default, \code{TRUE}, uses the levels that appear in the data; \code{FALSE} includes the levels in the factor. Please note that to display every level in a legend, the layer should use \code{show.legend = TRUE}.} \item{\code{na.translate}}{Unlike continuous scales, discrete scales can easily show missing values, and do so by default. If you want to remove missing values from a discrete scale, specify \code{na.translate = FALSE}.} \item{\code{minor_breaks}}{One of: \itemize{ \item \code{NULL} for no minor breaks \item \code{waiver()} for the default breaks (none for discrete, one minor break between each major break for continuous) \item A numeric vector of positions \item A function that given the limits returns a vector of minor breaks. Also accepts rlang \link[rlang:as_function]{lambda} function notation. When the function has two arguments, it will be given the limits and major break positions. }} \item{\code{labels}}{One of the options below. Please note that when \code{labels} is a vector, it is highly recommended to also set the \code{breaks} argument as a vector to protect against unintended mismatches. \itemize{ \item \code{NULL} for no labels \item \code{waiver()} for the default labels computed by the transformation object \item A character vector giving labels (must be same length as \code{breaks}) \item An expression vector (must be the same length as breaks). See ?plotmath for details. \item A function that takes the breaks as input and returns labels as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{guide}}{A function used to create a guide or its name. See \code{\link[ggplot2:guides]{guides()}} for more information.} \item{\code{call}}{The \code{call} used to construct the scale for reporting messages.} \item{\code{super}}{The super class to use for the constructed scale} }} } \description{ See \code{\link{stata_pal}()} for details. } \concept{colour stata} ggthemes/man/economist_pal.Rd0000644000176200001440000000117515112366564015770 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/economist.R \name{economist_pal} \alias{economist_pal} \title{Economist color palette (discrete)} \usage{ economist_pal(fill = TRUE) } \arguments{ \item{fill}{Use the fill palette.} } \description{ The hues in the palette are blues, grays, and greens. Red is not included in these palettes and should be used to indicate important data. } \examples{ library("scales") show_col(economist_pal()(6)) ## fill palette show_col(economist_pal(fill = TRUE)(6)) } \seealso{ Other colour economist: \code{\link{scale_colour_economist}()} } \concept{colour economist} ggthemes/man/geom_rangeframe.Rd0000644000176200001440000001451215112461554016244 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/geom-rangeframe.R \docType{data} \name{geom_rangeframe} \alias{geom_rangeframe} \alias{GeomRangeFrame} \title{Range Frames} \usage{ geom_rangeframe( mapping = NULL, data = NULL, stat = "identity", position = "identity", ..., sides = "bl", na.rm = FALSE, show.legend = NA, inherit.aes = TRUE ) } \arguments{ \item{mapping}{Set of aesthetic mappings created by \code{\link[ggplot2:aes]{aes()}}. If specified and \code{inherit.aes = TRUE} (the default), it is combined with the default mapping at the top level of the plot. You must supply \code{mapping} if there is no plot mapping.} \item{data}{The data to be displayed in this layer. There are three options: If \code{NULL}, the default, the data is inherited from the plot data as specified in the call to \code{\link[ggplot2:ggplot]{ggplot()}}. A \code{data.frame}, or other object, will override the plot data. All objects will be fortified to produce a data frame. See \code{\link[ggplot2:fortify]{fortify()}} for which variables will be created. A \code{function} will be called with a single argument, the plot data. The return value must be a \code{data.frame}, and will be used as the layer data. A \code{function} can be created from a \code{formula} (e.g. \code{~ head(.x, 10)}).} \item{stat}{The statistical transformation to use on the data for this layer. When using a \verb{geom_*()} function to construct a layer, the \code{stat} argument can be used to override the default coupling between geoms and stats. The \code{stat} argument accepts the following: \itemize{ \item A \code{Stat} ggproto subclass, for example \code{StatCount}. \item A string naming the stat. To give the stat as a string, strip the function name of the \code{stat_} prefix. For example, to use \code{stat_count()}, give the stat as \code{"count"}. \item For more information and other ways to specify the stat, see the \link[ggplot2:layer_stats]{layer stat} documentation. }} \item{position}{A position adjustment to use on the data for this layer. This can be used in various ways, including to prevent overplotting and improving the display. The \code{position} argument accepts the following: \itemize{ \item The result of calling a position function, such as \code{position_jitter()}. This method allows for passing extra arguments to the position. \item A string naming the position adjustment. To give the position as a string, strip the function name of the \code{position_} prefix. For example, to use \code{position_jitter()}, give the position as \code{"jitter"}. \item For more information and other ways to specify the position, see the \link[ggplot2:layer_positions]{layer position} documentation. }} \item{...}{Other arguments passed on to \code{\link[ggplot2:layer]{layer()}}'s \code{params} argument. These arguments broadly fall into one of 4 categories below. Notably, further arguments to the \code{position} argument, or aesthetics that are required can \emph{not} be passed through \code{...}. Unknown arguments that are not part of the 4 categories below are ignored. \itemize{ \item Static aesthetics that are not mapped to a scale, but are at a fixed value and apply to the layer as a whole. For example, \code{colour = "red"} or \code{linewidth = 3}. The geom's documentation has an \strong{Aesthetics} section that lists the available options. The 'required' aesthetics cannot be passed on to the \code{params}. Please note that while passing unmapped aesthetics as vectors is technically possible, the order and required length is not guaranteed to be parallel to the input data. \item When constructing a layer using a \verb{stat_*()} function, the \code{...} argument can be used to pass on parameters to the \code{geom} part of the layer. An example of this is \code{stat_density(geom = "area", outline.type = "both")}. The geom's documentation lists which parameters it can accept. \item Inversely, when constructing a layer using a \verb{geom_*()} function, the \code{...} argument can be used to pass on parameters to the \code{stat} part of the layer. An example of this is \code{geom_area(stat = "density", adjust = 0.5)}. The stat's documentation lists which parameters it can accept. \item The \code{key_glyph} argument of \code{\link[ggplot2:layer]{layer()}} may also be passed on through \code{...}. This can be one of the functions described as \link[ggplot2:draw_key]{key glyphs}, to change the display of the layer in the legend. }} \item{sides}{A string that controls which sides of the plot the frames appear on. It can be set to a string containing any of \code{'trbl'}, for top, right, bottom, and left.} \item{na.rm}{If \code{FALSE}, the default, missing values are removed with a warning. If \code{TRUE}, missing values are silently removed.} \item{show.legend}{logical. Should this layer be included in the legends? \code{NA}, the default, includes if any aesthetics are mapped. \code{FALSE} never includes, and \code{TRUE} always includes. It can also be a named logical vector to finely select the aesthetics to display. To include legend keys for all levels, even when no data exists, use \code{TRUE}. If \code{NA}, all levels are shown in legend, but unobserved levels are omitted.} \item{inherit.aes}{If \code{FALSE}, overrides the default aesthetics, rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g. \code{\link[ggplot2:annotation_borders]{annotation_borders()}}.} } \description{ Axis lines which extend to the maximum and minimum of the plotted data. } \details{ This should be used with `coord_cartesian(clip="off")` in order to correctly draw the lines. } \section{Aesthetics}{ \itemize{ \item colour \item size \item linetype \item alpha } } \examples{ library("ggplot2") ggplot(mtcars, aes(wt, mpg)) + geom_point() + geom_rangeframe() + coord_cartesian(clip = "off") + theme_tufte() # In the example above, # `coord_cartesian(clip="off")`` ensures that the full width of the line is drawn. # if you know a better way to fix this, # please open an issue or PR on github https://github.com/jrnold/ggthemes/issue } \references{ Tufte, Edward R. (2001) The Visual Display of Quantitative Information, Chapter 6. } \seealso{ Other geom tufte: \code{\link{geom_tufteboxplot}()} } \concept{geom tufte} \keyword{datasets} ggthemes/man/tableau_gradient_pal.Rd0000644000176200001440000000327115112366564017261 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/tableau.R \name{tableau_gradient_pal} \alias{tableau_gradient_pal} \alias{tableau_seq_gradient_pal} \alias{tableau_div_gradient_pal} \title{Tableau colour gradient palettes (continuous)} \usage{ tableau_gradient_pal(palette = "Blue", type = "ordered-sequential") tableau_seq_gradient_pal(palette = "Blue", ...) tableau_div_gradient_pal(palette = "Orange-Blue Diverging", ...) } \arguments{ \item{palette}{Palette name. \describe{ \item{\code{"ordered-sequential"}}{\Sexpr[results=rd]{ggthemes:::rd_optlist(names(ggthemes::ggthemes_data$tableau[["color-palettes"]][["ordered-sequential"]]))}} \item{\code{"ordered-diverging"}}{\Sexpr[results=rd]{ggthemes:::rd_optlist(names(ggthemes::ggthemes_data$tableau[["color-palettes"]][["ordered-diverging"]]))}} }} \item{type}{Palette type, either \code{"ordered-sequential"} or \code{"ordered-diverging"}.} \item{...}{Arguments passed to \code{tableau_gradient_pal}.} } \description{ Gradient color palettes using the diverging and sequential continous color palettes in Tableau. See \funclink{tableau_color_pal} for discrete color palettes. } \examples{ library("scales") x <- seq(0, 1, length = 25) r <- sqrt(outer(x^2, x^2, "+")) palettes <- ggthemes_data[["tableau"]][["color-palettes"]][["ordered-sequential"]] for (palname in names(palettes)) { col <- tableau_seq_gradient_pal(palname)(seq(0, 1, length = 12)) image(r, col = col) title(main = palname) } } \seealso{ Other colour tableau: \code{\link{scale_colour_gradient2_tableau}()}, \code{\link{scale_colour_gradient_tableau}()}, \code{\link{scale_colour_tableau}()}, \code{\link{tableau_color_pal}()} } \concept{colour tableau} ggthemes/man/macros/0000755000176200001440000000000015112366564014125 5ustar liggesusersggthemes/man/macros/funclink.Rd0000644000176200001440000000006015112366564016221 0ustar liggesusers\newcommand{\funclink}{\code{\link[=#1]{#1()}}} ggthemes/man/range_breaks.Rd0000644000176200001440000000337215112366564015560 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/scales.R \name{extended_range_breaks_} \alias{extended_range_breaks_} \alias{extended_range_breaks} \title{Pretty axis breaks inclusive of extreme values} \usage{ extended_range_breaks_( dmin, dmax, n = 5, Q = c(1, 5, 2, 2.5, 4, 3), w = c(0.25, 0.2, 0.5, 0.05) ) extended_range_breaks(n = 5, ...) } \arguments{ \item{dmin}{minimum of the data range} \item{dmax}{maximum of the data range} \item{n}{desired number of breaks} \item{Q}{set of nice numbers} \item{w}{weights applied to the four optimization components (simplicity, coverage, density, and legibility)} \item{...}{other arguments passed to \code{extended_range_breaks_()}} } \value{ For \code{extended_range_breaks}, the vector of axis label locations. For \code{scales_extended_range_breaks}, a function which takes a single argument, a vector of data, and returns the vector of axis label locations. A function which returns breaks given a vector. } \description{ This function returns pretty axis breaks that always include the extreme values of the data. This works by calling the extended Wilkinson algorithm (Talbot et al., 2010), constrained to solutions interior to the data range. Then, the minimum and maximum labels are moved to the minimum and maximum of the data range. } \details{ \code{extended_range_breaks} implements the algorithm and returns the break values. \code{scales_extended_range_breaks} uses the conventions of the \pkg{scales} package, and returns a function. } \references{ Talbot, J., Lin, S., Hanrahan, P. (2010) An Extension of Wilkinson's Algorithm for Positioning Tick Labels on Axes, InfoVis 2010. } \author{ Justin Talbot \email{jtalbot@stanford.edu}, Jeffrey B. Arnold, Baptiste Auguie } ggthemes/man/theme_map.Rd0000644000176200001440000000136315112461554015065 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/theme-map.R \name{theme_map} \alias{theme_map} \title{Clean theme for maps} \usage{ theme_map(base_size = 9, base_family = "") } \arguments{ \item{base_size}{base font size, given in pts.} \item{base_family}{base font family} } \description{ A clean theme that is good for displaying maps from \code{\link[ggplot2]{geom_map}()}. } \examples{ library("maps") library("ggplot2") us <- fortify(map_data("state"), region = "region") gg <- ggplot() + geom_map( data = us, map = us, aes(x = long, y = lat, map_id = region, group = group), fill = "white", color = "black", size = 0.25 ) + coord_map("albers", lat0 = 39, lat1 = 45) + theme_map() gg } ggthemes/man/theme_solarized.Rd0000644000176200001440000000270415112461554016304 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/solarized.R \name{theme_solarized} \alias{theme_solarized} \alias{theme_solarized_2} \title{ggplot color themes based on the Solarized palette} \usage{ theme_solarized(base_size = 12, base_family = "", light = TRUE) theme_solarized_2(base_size = 12, base_family = "", light = TRUE) } \arguments{ \item{base_size}{base font size, given in pts.} \item{base_family}{base font family} \item{light}{\code{logical}. Light or dark theme?} } \description{ See \url{https://ethanschoonover.com/solarized/} for a description of the Solarized palette. } \details{ Plots made with this theme integrate seamlessly with the Solarized Beamer color theme. \url{https://github.com/jrnold/beamercolorthemesolarized}. There are two variations: \code{theme_solarized} is similar to to \code{\link[ggplot2]{theme_bw}()}, while \code{theme_solarized_2()} is similar to \code{\link[ggplot2]{theme_gray}()}. } \examples{ library("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) # Light version with different main accent colors for (accent in names(ggthemes::ggthemes_data[["solarized"]][["accents"]])) { print(p + theme_solarized() + scale_colour_solarized(accent)) } # Dark version p + theme_solarized(light = FALSE) + scale_colour_solarized("blue") # Alternative theme p + theme_solarized_2(light = FALSE) + scale_colour_solarized("blue") } \concept{themes solarized} ggthemes/man/scale_few.Rd0000644000176200001440000000645515112461554015065 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/few.R \name{scale_colour_few} \alias{scale_colour_few} \alias{scale_color_few} \alias{scale_fill_few} \title{Color scales from Few's "Practical Rules for Using Color in Charts"} \usage{ scale_colour_few(palette = "Medium", ...) scale_color_few(palette = "Medium", ...) scale_fill_few(palette = "Light", ...) } \arguments{ \item{palette}{One of \Sexpr[results=rd]{names(ggthemes:::rd_optlist(ggthemes::ggthemes_data$few$colors))}} \item{...}{ Arguments passed on to \code{\link[ggplot2:discrete_scale]{discrete_scale}} \describe{ \item{\code{breaks}}{One of: \itemize{ \item \code{NULL} for no breaks \item \code{waiver()} for the default breaks (the scale limits) \item A character vector of breaks \item A function that takes the limits as input and returns breaks as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{limits}}{One of: \itemize{ \item \code{NULL} to use the default scale values \item A character vector that defines possible values of the scale and their order \item A function that accepts the existing (automatic) values and returns new ones. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{drop}}{Should unused factor levels be omitted from the scale? The default, \code{TRUE}, uses the levels that appear in the data; \code{FALSE} includes the levels in the factor. Please note that to display every level in a legend, the layer should use \code{show.legend = TRUE}.} \item{\code{na.translate}}{Unlike continuous scales, discrete scales can easily show missing values, and do so by default. If you want to remove missing values from a discrete scale, specify \code{na.translate = FALSE}.} \item{\code{minor_breaks}}{One of: \itemize{ \item \code{NULL} for no minor breaks \item \code{waiver()} for the default breaks (none for discrete, one minor break between each major break for continuous) \item A numeric vector of positions \item A function that given the limits returns a vector of minor breaks. Also accepts rlang \link[rlang:as_function]{lambda} function notation. When the function has two arguments, it will be given the limits and major break positions. }} \item{\code{labels}}{One of the options below. Please note that when \code{labels} is a vector, it is highly recommended to also set the \code{breaks} argument as a vector to protect against unintended mismatches. \itemize{ \item \code{NULL} for no labels \item \code{waiver()} for the default labels computed by the transformation object \item A character vector giving labels (must be same length as \code{breaks}) \item An expression vector (must be the same length as breaks). See ?plotmath for details. \item A function that takes the breaks as input and returns labels as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{guide}}{A function used to create a guide or its name. See \code{\link[ggplot2:guides]{guides()}} for more information.} \item{\code{call}}{The \code{call} used to construct the scale for reporting messages.} \item{\code{super}}{The super class to use for the constructed scale} }} } \description{ See \code{\link{few_pal}()}. } \seealso{ Other colour few: \code{\link{few_pal}()} } \concept{colour few} ggthemes/man/hc_pal.Rd0000644000176200001440000000101115112366564014347 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/hc.R \name{hc_pal} \alias{hc_pal} \title{Highcharts color palette (discrete)} \usage{ hc_pal(palette = "default") } \arguments{ \item{palette}{\code{character} The name of the Highcharts theme to use. One of \code{"default"}, or \code{"darkunica"}.} } \description{ The Highcharts uses many different color palettes in its plots. This collects a few of them. } \seealso{ Other colour hc: \code{\link{scale_colour_hc}()} } \concept{colour hc} ggthemes/man/scale_excel.Rd0000644000176200001440000000702515112461554015376 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/excel.R \name{scale_fill_excel} \alias{scale_fill_excel} \alias{scale_colour_excel} \alias{scale_color_excel} \title{Excel 97 ugly color scales} \usage{ scale_fill_excel(...) scale_colour_excel(...) scale_color_excel(...) } \arguments{ \item{...}{ Arguments passed on to \code{\link[ggplot2:discrete_scale]{discrete_scale}} \describe{ \item{\code{breaks}}{One of: \itemize{ \item \code{NULL} for no breaks \item \code{waiver()} for the default breaks (the scale limits) \item A character vector of breaks \item A function that takes the limits as input and returns breaks as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{limits}}{One of: \itemize{ \item \code{NULL} to use the default scale values \item A character vector that defines possible values of the scale and their order \item A function that accepts the existing (automatic) values and returns new ones. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{drop}}{Should unused factor levels be omitted from the scale? The default, \code{TRUE}, uses the levels that appear in the data; \code{FALSE} includes the levels in the factor. Please note that to display every level in a legend, the layer should use \code{show.legend = TRUE}.} \item{\code{na.translate}}{Unlike continuous scales, discrete scales can easily show missing values, and do so by default. If you want to remove missing values from a discrete scale, specify \code{na.translate = FALSE}.} \item{\code{minor_breaks}}{One of: \itemize{ \item \code{NULL} for no minor breaks \item \code{waiver()} for the default breaks (none for discrete, one minor break between each major break for continuous) \item A numeric vector of positions \item A function that given the limits returns a vector of minor breaks. Also accepts rlang \link[rlang:as_function]{lambda} function notation. When the function has two arguments, it will be given the limits and major break positions. }} \item{\code{labels}}{One of the options below. Please note that when \code{labels} is a vector, it is highly recommended to also set the \code{breaks} argument as a vector to protect against unintended mismatches. \itemize{ \item \code{NULL} for no labels \item \code{waiver()} for the default labels computed by the transformation object \item A character vector giving labels (must be same length as \code{breaks}) \item An expression vector (must be the same length as breaks). See ?plotmath for details. \item A function that takes the breaks as input and returns labels as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{guide}}{A function used to create a guide or its name. See \code{\link[ggplot2:guides]{guides()}} for more information.} \item{\code{call}}{The \code{call} used to construct the scale for reporting messages.} \item{\code{super}}{The super class to use for the constructed scale} }} } \description{ The classic "ugly" color scales from Excel 97. } \examples{ library("ggplot2") # Line and scatter plot colors p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) p + theme_excel() + scale_colour_excel() # Bar plot (area/fill) colors ggplot(mpg, aes(x = class, fill = drv)) + geom_bar() + scale_fill_excel() + theme_excel() } \seealso{ Other colour excel: \code{\link{excel_new_pal}()}, \code{\link{excel_pal}()}, \code{\link{scale_colour_excel_new}()} } \concept{colour excel} ggthemes/man/show_shapes.Rd0000644000176200001440000000126715112366564015461 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/show.R \name{show_shapes} \alias{show_shapes} \title{Show shapes} \usage{ show_shapes(shapes, labels = TRUE) } \arguments{ \item{shapes}{A numeric or character vector of shapes. See \code{\link[graphics]{par}()}.} \item{labels}{Include the plotting character value of the symbol.} } \value{ This function called for the side effect of creating a plot. It returns \code{shapes}. } \description{ A quick and dirty way to show shapes. } \examples{ library("scales") show_shapes(shape_pal()(5)) show_shapes(shape_pal()(3), labels = TRUE) } \seealso{ \code{\link[scales]{show_col}()}, \code{\link{show_linetypes}()} } ggthemes/man/palette_pander.Rd0000644000176200001440000000133115112366564016115 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/pander.R \name{palette_pander} \alias{palette_pander} \title{Color palette from the pander package} \usage{ palette_pander(n, random_order = FALSE) } \arguments{ \item{n}{number of colors. This palette supports up to eight colors.} \item{random_order}{if the palette should be reordered randomly before rendering each plot to get colorful images} } \description{ The \pkg{pander} ships with a default colorblind and printer-friendly color palette borrowed from \verb{https://jfly.iam.u-tokyo.ac.jp/color/}. } \examples{ \dontrun{ palette_pander(TRUE) } } \seealso{ Other colour pander: \code{\link{scale_color_pander}()} } \concept{colour pander} ggthemes/man/theme_igray.Rd0000644000176200001440000000235515112366564015432 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/igray.R \name{theme_igray} \alias{theme_igray} \title{Inverse gray theme} \usage{ theme_igray(base_size = 12, base_family = "") } \arguments{ \item{base_size}{base font size, given in pts.} \item{base_family}{base font family} } \description{ Theme with white panel and gray background. } \section{Details}{ This theme inverts the colors in the \code{\link[ggplot2]{theme_gray}()}, a white panel and a light gray area around it. This keeps a white background for the color scales like \code{\link[ggplot2]{theme_bw}()}. But by using a gray background, the plot is closer to the typographical color of the document, which is the motivation for using a gray panel in \code{\link[ggplot2]{theme_gray}()}. This is similar to the style of plots in Stata and Tableau. } \examples{ library("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) p + theme_igray() } \seealso{ \code{\link[ggplot2]{theme_gray}()}, \code{\link[ggplot2]{theme_bw}()} Other themes: \code{\link{theme_base}()}, \code{\link{theme_clean}()}, \code{\link{theme_foundation}()}, \code{\link{theme_par}()}, \code{\link{theme_solid}()} } \concept{themes} ggthemes/man/figures/0000755000176200001440000000000015112366564014305 5ustar liggesusersggthemes/man/figures/README-theme_solarized-1.png0000644000176200001440000012252415112366564021270 0ustar liggesusers‰PNG  IHDR àzŒß4iCCPkCGColorSpaceGenericRGB8U]hU>›¹³+$΃Ԧ¦’þ5”´lRÑ„Úèþe³mÜ,“l´AÉìÝi&3ãü¤i)>AÁ¨à“àÿ[Á'!j«í‹-¢´P¢ƒ(øÐúG¡Ò ë¹3³»“¸k½ËÜùæœï~çÞsîÞ ¸,[–Þ%,®-åÓâ³ÇæÄÄ:tÁ}Ð }Ð-+Ž•*•&ã¿Úíï ÆÞ×ö·÷ÿgë®PGˆÝ…ج8Ê"âeþŲ]€AûÈ ×bø Ä;lœ âõWžð²Ï™‘2ˆ_E,(ªŒþÄÛˆç#öZsðÛŽ<5¨­)"ËEÉ6«šN#Ó½ƒû¶EÝkÄÛƒO³0}߸ö—*r–ᇟUäÜtˆ¯.i³Åÿe¹i ñ#]»¼…r ñ>ÄcU{¼èt©ª7ÑÀ+§Ô™g߃xuÁ<ÊÆîDüµ1_œ u~Rœ æàâ*-°z÷#°Mi*ˆËWh6Çòˆø¸æf}î-gi:×Ð9¥fŠA,î‹ãòV§>ÄW©ž—Bý_-·Æ%=†^œ tÈ0uüõúvW™â’9 Œ%/VµñBÈWµ'¤_¶tâÜÈMÛ“ÊŸ¿ŸåP““í\>ĘÉ@Á„yì0`D i|[`£§ èh¡è¥h¡øÕàìßÂ)ùþ·TjþÈëèÑ0B¦ÿ#ðЪÂïhU#¼ ~yh«uÐ fp#Ô1I/I’ƒø"“ä0!£ ’'ÉSdŒdÑ:J5Ç–"sdó¹ÑÔy#RŸ7‹¼‹èwAÆþgd˜à´ÏÅJŸ7ØÏØÏkÊ•×n^:}nW‹»FVŸ»Ösét$gj-tÈÚÔrÏÿÂ_ç×°_ç7Z þ~ëÛV·5ë4ÌV }ºo[ÄGó=Nd>¥-Ula³£¢Y5VúË}¹x»g[üä÷É?’kÉ÷’&ãÞä>áÎsŸrŸq߀È]à.r_r_qsŸGjÔyï4k± æi—QÜŸBZØ-<(d…=ÂÃÂdKO膄 a/zv7«]»Ç°od«}¬€©sìn¬³Öá?TF–'|¦ãï3Nnã„#I?"…m»z„íõ¦v~K=Ú¯Æsñl<b|_|4>?Âpƒß‹¾QìñÔré²ËâŒi´µšêŠÃÉäãb ¯2* åÀ (ëºè»Ѧµ—hå°{28ÂoIþýÛy¥esŸ8ü';÷Z¶9à¬ÐûhË6€gã½ï¬>¦xöRx'Äbß8ÕƒÃÁWOÏ«ëõ[xn%ÞØ|½^ÿûýz}óÔ߸ ÿÿ%x ÅcÖË8eXIfMM*‡i   à_ÛÜ@IDATxì|TUÚÆŸôÞ¡zïMETÄÞ{w-˪»Öum»–OWEw×U\ 6PE@A)Ò{ï½Òû$ùÞ÷†f&Éd&™I&3Ïá7äÞsï=åîÌ}î{ÎyO€)ggH€H€H€H€H ŽÖQ>̆H€H€H€H€  ¼H€H€H€H€ê”hâff$@$@$@$@ ¼H€H€H€H€ê”hâff$@$@$@$@ ¼H€H€H€H€ê”hâff$@$@$@$@Á¾€`ùÆÝøqá:‡UIŠÆý×çðœÚüðÛHËÌÁ£·^X›dx­¬Ù²3æ¯ÆuF‡ÖMÜbÅ$ìÛûÓcÿ‘4xGNfÔKÞÌÔ–@zV®q?dçØpãž}{ï;|[vvcLª*5eWPdÜ}º¤V•´MüÄÏæà”¼T>û‡ËmâíwjZût¸O$@þDÀ'¨¹Án¸xF êfÞå_¨3w\~ ‹ë,?Ψ®X¯Û¶-›$V‹º®ÊSmAx 4 êBc¥‰¥57¿Ð…+ŸêJzjÕËÊÉw˜`¾XxŽ§e¡´´úÕUKKKOŸ[ê0MMëø©,ä9Yï )gQ±©Bš'3²¡(O…¬Ü|€Î¥ï,wSI Ž¥eÂd*©¶ØM’ã‘Ú¼Q•ç9Ë[ÙU׆eee†eN­s5 z­~4­ª‚;ò©*mGñÕ1pÄ:G¬ÞÎÞ«Ú¾zo;bਜæcŽÊ£ç8ÛöÎÜoZVý-¨,TÇÍúw·¿3y××ýd]on“ xŸ²€:ƒu㎃xõÃpË%Ã0ê,[ké„—?Eltžà KRúð˜öóJÌ–1¦fñÙ´Q<ÔêÑ£CKËyÎn¸’žþ`9{)–®ß‰£'3,šËx´;¯®íš[²Ü°ã&¿ûdŒ›†Ð` ‘1n·\2‘2,AÃö½Gðâ{ßaÂ`…Œ™]¼v; ‹L 2ÆÄÝpÑ˶9¨XüjÎ2ü¼d“EP6‘uËøaèÓ¥µù4¼òÁ(,.Æ¥çöäi¿‚-8(ýºµÁoƒU[öãîTôiÐrÝíh#¯isWà»_WáO7µISÏ›óûèغ'î¼]Ú6Ó¨Jòõ»ð½Œ÷ÜuàЫS+t³bc¾ÈîÚ½þŬ%غçˆQ÷ À@œ;¨+n»t8‚¤n•…Wÿ7Ó`<éù;îòÞä$ÞûêWìsŠñýغç0n~ò]\7v0ÆëeNÂæ¯}y\mûêî7ÚñÒ¤ïñÀõçËïÁ:–Žæ) xyÂ5ÆwÝYnžhgó®Éýd™;$@>GÀñËçª+Öˆ²RãÁb*©hùS!Ud:ó°×ê¿ýù\ü¾v‡!‚´{_ÅÕŒßÖàÅÿ~‡Çn¿}»¦ºDÉ•ô&ÏXŒ™ Öâ\y8ªø9|"]ö×I™æàÍÇnDXh¶‰°ü»ËäøÜ{õ¹HŒ‹Æúíä¼5Ø)ãWþt!öÔ(ª‚sÒ´ù†ˆwN$É5*ôf‰¸ÖëÆèc©Ë›“„vAªHЭ-Ô²4ý—Uxùƒò <ÃDi(6™°ïp^ûh–!d[6IÂü[ Âð¥ü†0<«W{tiÓ ó–m2Xª8ЇùÙ}:`êOË°`ÕÖ TÓˆ‰Š@ç6M-e²ßÐúMüì'´HIÄEXŠýAÚæ‹YKíOuºÊ8Þ—&Í@HP—ላ‰Äâ5Û1W„’>ôÇ­\„(‡‚¢3]ð®ðÞ+ãGŸzkª!/.*¢µ]§Ï[%lOâů4Äõúíûñþ×óÑ«c+ ëß áÒþzojûiЗƒª‚Zמ”e ´g½}ßQ¹æ”ß7œ y‘úqÑ:ü߇3 Y"/‘ÖA_|š5ŽÇõ 6¸Î[ºÙ¸oc£pÑ9½/ïºr¤Á:). —Ÿ7mX·íËãJÛ;s¿éË“òÓ TúÂxvŸŽFuô…ÃYnžhgó®éýdÝfÜ&ð=>%@¿˜¹ÄxhÛ7SJRž¾g¼}tµû›v4ð}eÒÂcw\l9¿÷¶¸ï…ñÑw ±P•UÌrÁé WÒÛ,“ªT|Ž¨C ½;·FóƉøÇûßË,ï5¸BŒÿúâgCˆ¾øÐUˆ±¤AL¢<8?«¨¦1^¬“–¼öèuÆ5×_,•w?÷XEwY¨Z†T|ª Uk–9 èÞ^ùÌH·×6– _*NÕzt±ˆZ ýD”ßù· –Ù§îžË-ÅZþ»žýÀ°,ªÕ®K˜+7í1ºÏ͸CbÚ%–ÀËG÷7‚9û¿ï|1×m:IÄ<ùLó~øÿ>Kl–åtW¸«R-Ýo‰Ào”k¤¡í¯Ýâ_ý´Ü°ªÅÌéàoúBôÔÝ— m‹ÆFÒÚ†QáaødÆ",X¹çˆoX5Ü}õHã…C·µ¾ù2ô °’azÜÖnݵB_sÁ á: ÿå+náòäį°çà ëSíùnüí¾ËŒèѾ%yís™DvÈ ‘bUÖ¬¦/4^@Ì/[ª.‰¶wæ~³d#â^­žæ{]ãåæ‰öw6ïšÞO–zsƒHÀ' TÞŸØ@«&V½è Ÿ¸˜ˆÕhÅÆ=Æuc†žéNÔµB êÙÞx€9áüÌwWÒÓ.e cζÍ[…ÉÝ`ty« Ð‡¸> ÍâÓ¸H¯“.Pæs¼ µœšƒZ¾TäXñT¡A­¤ÖA¢ ‹ªÝ†Öa`v–]µ\6IŽ3ò7‹O=¨yiÞ™9y–sµkT»D—‰5ÌTpi8§gsT…¿*•½ZQ­È*zFU.jÌ9Ë]‡<ì’z)#³ø4§¡îµÞøË Fw­9Ι¿ÕñÖzhk‡V)ñiNwˆÔMŒºP ¢†fŒ¿ïMýÕxAPn2<àñ;ÆáîÓ/)Æ •ü§/Ÿ¾|Æ´z‘ótâTŒˆ·|« TµÉG_R Ŭ\ j× /3Z×½‡ËáªÍ{øò2ç ã"«ÿTàê8N½WÌ/0zX¹\pvO«3ÏlvoßÂ">5¶…L4J’€Ã.|—ϤVõVumïêýÖC^ä¬ïuW¸¹»ý]É»6÷SÕty„H ¡ð) è%#ûºu¼vixsòO`t옆£iÆÌæ`;®¤·÷ÐI#•Æ‰qR3ÿ <~Ê8¦Ý‰öA…Xc±àÙ?TµÛÝ>DŠ¥Í\=vèØ)¨H»Ÿíƒ9oM·›<È5¨E+Y„¿uPñ[™ð•rY‡ÁÒ=¯ãÕêª"BʺÝ)µ©a!µ>×z[»¦5híC±x[g¹‚¬2敱°Î£ªíêx›_`ö:Ûž~¯B2Ú¥m.¿òÙ ‚nÙ†]X'Ýñú"¤bJ“qœÚŽB‰XY•áÚe­ãȳð´®_mòQk±Šfµ ëý±^,«­›&á,yaS‹¼ŽÁV+ï¬Ã5´wB‡Rhp†}ýv 7 )I•Üba¯,èË‘}ˆŽ wzò’ýµUíW×öúò¨/ÎÞoöåvåÞÑ2º³ý]É»6÷SUlO$Ðð ø”­msX‹0M˼‰Xoôa_YШ³Á•ôÔŠ¤AæU…ÒQ'*Èãò+Ê ÿTÁXPS](‘nRÐSY0§fnHp°aqªìüêâÔj¥âdˆNÝ«ÝïêÐ_'Ô4„„ض•³Ü dœ†jtœKŪŽ·ŽÍÓ óÕbVYÐ *ê¾e¬! 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See the names of \code{\link{canva_palettes}()} for valid names.} } \value{ A function that takes a single value, the number of colors to use. } \description{ 150+ color palettes from canva.com. See \code{\link{canva_palettes}()}. } \examples{ require("ggplot2") require("tibble") if (require("purrr") && require("scales") && require("dplyr")) { canva_df <- map2_df( canva_palettes, names(canva_palettes), ~ tibble( colors = .x, .id = seq_along(colors), palette = .y ) ) ggplot( canva_df, aes( y = palette, x = .id, fill = colors ) ) + geom_raster() + scale_fill_identity(guide = FALSE) + theme_minimal() + theme( panel.grid = element_blank(), axis.text.x = element_blank() ) + labs(x = "", y = "") show_col(canva_pal("Fresh and bright")(4)) show_col(canva_pal("Cool blues")(4)) show_col(canva_pal("Modern and crisp")(4)) } } ggthemes/man/tableau_color_pal.Rd0000644000176200001440000000442115112366564016600 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/tableau.R \name{tableau_color_pal} \alias{tableau_color_pal} \title{Tableau Color Palettes (discrete)} \usage{ tableau_color_pal( palette = "Tableau 10", type = c("regular", "ordered-sequential", "ordered-diverging"), direction = 1 ) } \arguments{ \item{palette}{Palette name. See Details for available palettes.} \item{type}{Type of palette. One of \code{"regular"}, \code{"ordered-diverging"}, or \code{"ordered-sequential"}.} \item{direction}{If 1, the default, then use the original order of colors. If -1, then reverse the order.} } \description{ Color palettes used in \href{https://www.tableau.com/}{Tableau}. } \details{ Tableau provides three types of color palettes: \code{"regular"} (discrete, qualitative categories), \code{"ordered-sequential"}, and \code{"ordered-diverging"}. \describe{ \item{\code{"regular"}}{\Sexpr[results=rd]{ggthemes:::rd_optlist(names(ggthemes::ggthemes_data$tableau[["color-palettes"]][["regular"]]))}} \item{\code{"ordered-diverging"}}{\Sexpr[results=rd]{ggthemes:::rd_optlist(names(ggthemes::ggthemes_data$tableau[["color-palettes"]][["ordered-diverging"]]))}} \item{\code{"ordered-sequential"}}{\Sexpr[results=rd]{ggthemes:::rd_optlist(names(ggthemes::ggthemes_data$tableau[["color-palettes"]][["ordered-sequential"]]))}} } } \examples{ library("scales") palettes <- ggthemes_data[["tableau"]][["color-palettes"]][["regular"]] for (palname in names(palettes)) { pal <- tableau_color_pal(palname) max_n <- attr(pal, "max_n") show_col(pal(max_n)) title(main = palname) } } \references{ \url{http://vis.stanford.edu/color-names/analyzer/} Maureen Stone, 'Designing Colors for Data' (slides), at the International Symposium on Computational Aesthetics in Graphics, Visualization, and Imaging, Banff, AB, Canada, June 22, 2007. Heer, Jeffrey and Maureen Stone, 2012 'Color Naming Models for Color Selection, Image Editing and Palette Design', ACM Human Factors in Computing Systems (CHI) \url{http://vis.stanford.edu/files/2012-ColorNameModels-CHI.pdf}. } \seealso{ Other colour tableau: \code{\link{scale_colour_gradient2_tableau}()}, \code{\link{scale_colour_gradient_tableau}()}, \code{\link{scale_colour_tableau}()}, \code{\link{tableau_gradient_pal}()} } \concept{colour tableau} ggthemes/man/ggthemes_data.Rd0000644000176200001440000000062415112366564015726 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/ggthemes_data.R \docType{data} \name{ggthemes_data} \alias{ggthemes_data} \title{Palette and theme data} \format{ A \code{list} object. } \usage{ ggthemes_data } \description{ The \code{ggthemes} environment contains various values used in themes and palettes. This is undocumented and subject to change. } \keyword{datasets} ggthemes/man/scale_shape_tableau.Rd0000644000176200001440000000666015112461554017077 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/tableau.R \name{scale_shape_tableau} \alias{scale_shape_tableau} \title{Tableau shape scales} \usage{ scale_shape_tableau(palette = "default", ...) } \arguments{ \item{palette}{Palette name.} \item{...}{ Arguments passed on to \code{\link[ggplot2:discrete_scale]{discrete_scale}} \describe{ \item{\code{breaks}}{One of: \itemize{ \item \code{NULL} for no breaks \item \code{waiver()} for the default breaks (the scale limits) \item A character vector of breaks \item A function that takes the limits as input and returns breaks as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{limits}}{One of: \itemize{ \item \code{NULL} to use the default scale values \item A character vector that defines possible values of the scale and their order \item A function that accepts the existing (automatic) values and returns new ones. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{drop}}{Should unused factor levels be omitted from the scale? The default, \code{TRUE}, uses the levels that appear in the data; \code{FALSE} includes the levels in the factor. Please note that to display every level in a legend, the layer should use \code{show.legend = TRUE}.} \item{\code{na.translate}}{Unlike continuous scales, discrete scales can easily show missing values, and do so by default. If you want to remove missing values from a discrete scale, specify \code{na.translate = FALSE}.} \item{\code{na.value}}{If \code{na.translate = TRUE}, what aesthetic value should the missing values be displayed as? Does not apply to position scales where \code{NA} is always placed at the far right.} \item{\code{aesthetics}}{The names of the aesthetics that this scale works with.} \item{\code{minor_breaks}}{One of: \itemize{ \item \code{NULL} for no minor breaks \item \code{waiver()} for the default breaks (none for discrete, one minor break between each major break for continuous) \item A numeric vector of positions \item A function that given the limits returns a vector of minor breaks. Also accepts rlang \link[rlang:as_function]{lambda} function notation. When the function has two arguments, it will be given the limits and major break positions. }} \item{\code{labels}}{One of the options below. Please note that when \code{labels} is a vector, it is highly recommended to also set the \code{breaks} argument as a vector to protect against unintended mismatches. \itemize{ \item \code{NULL} for no labels \item \code{waiver()} for the default labels computed by the transformation object \item A character vector giving labels (must be same length as \code{breaks}) \item An expression vector (must be the same length as breaks). See ?plotmath for details. \item A function that takes the breaks as input and returns labels as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{call}}{The \code{call} used to construct the scale for reporting messages.} \item{\code{super}}{The super class to use for the constructed scale} }} } \description{ See \code{\link{tableau_shape_pal}()} for details. } \examples{ \dontrun{ library("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, shape = factor(gear))) + facet_wrap(~am) p + scale_shape_tableau() } } \seealso{ Other shape tableau: \code{\link{tableau_shape_pal}()} } \concept{shape tableau} ggthemes/man/wsj_pal.Rd0000644000176200001440000000231715112712515014561 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/wsj.R \name{wsj_pal} \alias{wsj_pal} \title{Wall Street Journal color palette (discrete)} \usage{ wsj_pal(palette = "colors6") } \arguments{ \item{palette}{\code{character} The color palette to use: . \Sexpr[results=rd]{ggthemes:::rd_optlist(names(ggthemes::ggthemes_data$wsj$palettes))}} } \description{ The Wall Street Journal uses many different color palettes in its plots. This collects a few of them, but is by no means exhaustive. Collections of these plots can be found on the WSJ Graphics \href{https://x.com/WSJGraphics}{X (formerly Twitter)} feed and \href{https://pinterest.com/wsjgraphics/wsj-graphics/}{Pinterest}. } \section{Palettes}{ The following palettes are defined, \describe{ \item{rgby}{Red/Green/Blue/Yellow theme.} \item{red_green}{Green/red two-color scale for good/bad.} \item{green_black}{Black-green 4-color scale for 'Very negative', 'Somewhat negative', 'somewhat positive', 'very positive'.} \item{dem_rep}{Democrat/Republican/Undecided blue/red/gray scale.} \item{colors6}{Red, blue, gold, green, orange, and black palette.} } } \seealso{ Other colour wsj: \code{\link{scale_colour_wsj}()} } \concept{colour wsj} ggthemes/man/calc_pal.Rd0000644000176200001440000000062215112366564014666 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/calc.R \name{calc_pal} \alias{calc_pal} \title{Calc color palette (discrete)} \usage{ calc_pal() } \description{ Color palettes from LibreOffice Calc. This palette has 12 values. } \examples{ library("scales") show_col(calc_pal()(12)) } \seealso{ Other colour calc: \code{\link{scale_fill_calc}()} } \concept{colour calc} ggthemes/man/theme_hc.Rd0000644000176200001440000000366315112461554014707 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/hc.R \name{theme_hc} \alias{theme_hc} \title{Highcharts Theme} \usage{ theme_hc( base_size = 12, base_family = "sans", style = c("default", "darkunica"), bgcolor = NULL ) } \arguments{ \item{base_size}{base font size, given in pts.} \item{base_family}{base font family} \item{style}{The Highcharts theme to use \code{'default'}, \code{'darkunica'}.} \item{bgcolor}{Deprecated} } \description{ Theme based on \href{https://www.highcharts.com/}{Highcharts} plots. } \examples{ library("ggplot2") p <- ggplot(mtcars) + geom_point(aes( x = wt, y = mpg, colour = factor(gear) )) + facet_wrap(~am) p + theme_hc() + scale_colour_hc() p + theme_hc(bgcolor = "darkunica") + scale_colour_hc("darkunica") dtemp <- data.frame( months = factor(rep(substr(month.name, 1, 3), 4), levels = substr(month.name, 1, 3)), city = rep(c("Tokyo", "New York", "Berlin", "London"), each = 12), temp = c( 7.0, 6.9, 9.5, 14.5, 18.2, 21.5, 25.2, 26.5, 23.3, 18.3, 13.9, 9.6, -0.2, 0.8, 5.7, 11.3, 17.0, 22.0, 24.8, 24.1, 20.1, 14.1, 8.6, 2.5, -0.9, 0.6, 3.5, 8.4, 13.5, 17.0, 18.6, 17.9, 14.3, 9.0, 3.9, 1.0, 3.9, 4.2, 5.7, 8.5, 11.9, 15.2, 17.0, 16.6, 14.2, 10.3, 6.6, 4.8 ) ) ggplot(dtemp, aes(x = months, y = temp, group = city, color = city)) + geom_line() + geom_point(size = 1.1) + ggtitle("Monthly Average Temperature") + theme_hc() + scale_colour_hc() ggplot(dtemp, aes(x = months, y = temp, group = city, color = city)) + geom_line() + geom_point(size = 1.1) + ggtitle("Monthly Average Temperature") + theme_hc(bgcolor = "darkunica") + scale_fill_hc("darkunica") } \references{ \url{https://www.highcharts.com/demo/highcharts/line-chart} } \concept{themes hc} ggthemes/man/few_shape_pal.Rd0000644000176200001440000000076115112366564015731 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/few.R \name{few_shape_pal} \alias{few_shape_pal} \title{Shape palette from "Show Me the Numbers" (discrete)} \usage{ few_shape_pal() } \description{ Shape palette from Stephen Few's, "Show Me the Numbers". The shape palette consists of five shapes: circle, square, triangle, plus, times. } \references{ Few, S. (2012) \emph{Show Me the Numbers: Designing Tables and Graphs to Enlighten}, Analytics Press, p. 208. } ggthemes/man/solarized_rebase.Rd0000644000176200001440000000103115112366564016440 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/solarized.R \name{solarized_rebase} \alias{solarized_rebase} \title{Base colors for Solarized light and dark themes} \usage{ solarized_rebase(light = TRUE) } \arguments{ \item{light}{\code{logical} Light theme? Creates the base colors for a light or dark solarized theme. See \url{https://ethanschoonover.com/solarized/}. This function is a port of the CSS style example.} } \description{ Base colors for Solarized light and dark themes } \keyword{internal} ggthemes/man/scale_shape_calc.Rd0000644000176200001440000000633415112461554016362 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/calc.R \name{scale_shape_calc} \alias{scale_shape_calc} \title{Calc shape scale} \usage{ scale_shape_calc(...) } \arguments{ \item{...}{ Arguments passed on to \code{\link[ggplot2:discrete_scale]{discrete_scale}} \describe{ \item{\code{breaks}}{One of: \itemize{ \item \code{NULL} for no breaks \item \code{waiver()} for the default breaks (the scale limits) \item A character vector of breaks \item A function that takes the limits as input and returns breaks as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{limits}}{One of: \itemize{ \item \code{NULL} to use the default scale values \item A character vector that defines possible values of the scale and their order \item A function that accepts the existing (automatic) values and returns new ones. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{drop}}{Should unused factor levels be omitted from the scale? The default, \code{TRUE}, uses the levels that appear in the data; \code{FALSE} includes the levels in the factor. Please note that to display every level in a legend, the layer should use \code{show.legend = TRUE}.} \item{\code{na.translate}}{Unlike continuous scales, discrete scales can easily show missing values, and do so by default. If you want to remove missing values from a discrete scale, specify \code{na.translate = FALSE}.} \item{\code{na.value}}{If \code{na.translate = TRUE}, what aesthetic value should the missing values be displayed as? Does not apply to position scales where \code{NA} is always placed at the far right.} \item{\code{aesthetics}}{The names of the aesthetics that this scale works with.} \item{\code{minor_breaks}}{One of: \itemize{ \item \code{NULL} for no minor breaks \item \code{waiver()} for the default breaks (none for discrete, one minor break between each major break for continuous) \item A numeric vector of positions \item A function that given the limits returns a vector of minor breaks. Also accepts rlang \link[rlang:as_function]{lambda} function notation. When the function has two arguments, it will be given the limits and major break positions. }} \item{\code{labels}}{One of the options below. Please note that when \code{labels} is a vector, it is highly recommended to also set the \code{breaks} argument as a vector to protect against unintended mismatches. \itemize{ \item \code{NULL} for no labels \item \code{waiver()} for the default labels computed by the transformation object \item A character vector giving labels (must be same length as \code{breaks}) \item An expression vector (must be the same length as breaks). See ?plotmath for details. \item A function that takes the breaks as input and returns labels as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{call}}{The \code{call} used to construct the scale for reporting messages.} \item{\code{super}}{The super class to use for the constructed scale} }} } \description{ See \code{\link{calc_shape_pal}()} for details. } \seealso{ \code{\link{theme_calc}()} for examples. Other shapes calc: \code{\link{calc_shape_pal}()} } \concept{shapes calc} ggthemes/man/scale_gdocs.Rd0000644000176200001440000000623715112461554015401 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gdocs.R \name{scale_fill_gdocs} \alias{scale_fill_gdocs} \alias{scale_colour_gdocs} \alias{scale_color_gdocs} \title{Google Docs color scales} \usage{ scale_fill_gdocs(...) scale_colour_gdocs(...) scale_color_gdocs(...) } \arguments{ \item{...}{ Arguments passed on to \code{\link[ggplot2:discrete_scale]{discrete_scale}} \describe{ \item{\code{breaks}}{One of: \itemize{ \item \code{NULL} for no breaks \item \code{waiver()} for the default breaks (the scale limits) \item A character vector of breaks \item A function that takes the limits as input and returns breaks as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{limits}}{One of: \itemize{ \item \code{NULL} to use the default scale values \item A character vector that defines possible values of the scale and their order \item A function that accepts the existing (automatic) values and returns new ones. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{drop}}{Should unused factor levels be omitted from the scale? The default, \code{TRUE}, uses the levels that appear in the data; \code{FALSE} includes the levels in the factor. Please note that to display every level in a legend, the layer should use \code{show.legend = TRUE}.} \item{\code{na.translate}}{Unlike continuous scales, discrete scales can easily show missing values, and do so by default. If you want to remove missing values from a discrete scale, specify \code{na.translate = FALSE}.} \item{\code{minor_breaks}}{One of: \itemize{ \item \code{NULL} for no minor breaks \item \code{waiver()} for the default breaks (none for discrete, one minor break between each major break for continuous) \item A numeric vector of positions \item A function that given the limits returns a vector of minor breaks. Also accepts rlang \link[rlang:as_function]{lambda} function notation. When the function has two arguments, it will be given the limits and major break positions. }} \item{\code{labels}}{One of the options below. Please note that when \code{labels} is a vector, it is highly recommended to also set the \code{breaks} argument as a vector to protect against unintended mismatches. \itemize{ \item \code{NULL} for no labels \item \code{waiver()} for the default labels computed by the transformation object \item A character vector giving labels (must be same length as \code{breaks}) \item An expression vector (must be the same length as breaks). See ?plotmath for details. \item A function that takes the breaks as input and returns labels as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{guide}}{A function used to create a guide or its name. See \code{\link[ggplot2:guides]{guides()}} for more information.} \item{\code{call}}{The \code{call} used to construct the scale for reporting messages.} \item{\code{super}}{The super class to use for the constructed scale} }} } \description{ Color scales from Google Docs. } \seealso{ See \code{\link{theme_gdocs}()} for examples. Other colour gdocs: \code{\link{gdocs_pal}()} } \concept{colour gdocs} ggthemes/man/excel_pal.Rd0000644000176200001440000000144315112366564015066 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/excel.R \name{excel_pal} \alias{excel_pal} \title{Excel 97 ugly color palettes (discrete)} \usage{ excel_pal(line = TRUE) } \arguments{ \item{line}{If \code{TRUE}, use the palette for lines and points. Otherwise, use the palette for area.} } \description{ The color palettes used in Microsoft Excel 97 (and up until Excel 2007). Use this for that classic ugly look and feel. For ironic purposes only. 3D bars and pies not included. Please never use this color palette. } \examples{ library("scales") show_col(excel_pal()(7)) show_col(excel_pal(line = FALSE)(7)) } \seealso{ Other colour excel: \code{\link{excel_new_pal}()}, \code{\link{scale_colour_excel_new}()}, \code{\link{scale_fill_excel}()} } \concept{colour excel} ggthemes/man/geom_tufteboxplot.Rd0000644000176200001440000002024215112461554016671 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/geom-tufteboxplot.R \docType{data} \name{geom_tufteboxplot} \alias{geom_tufteboxplot} \alias{GeomTufteboxplot} \title{Tufte's Box Plot} \usage{ geom_tufteboxplot( mapping = NULL, data = NULL, stat = "fivenumber", position = "dodge", outlier.colour = "black", outlier.shape = 19, outlier.size = 1.5, outlier.stroke = 0.5, voffset = 0.01, hoffset = 0.005, na.rm = FALSE, show.legend = NA, inherit.aes = TRUE, median.type = "point", whisker.type = "line", ... ) } \arguments{ \item{mapping}{Set of aesthetic mappings created by \code{\link[ggplot2:aes]{aes()}}. If specified and \code{inherit.aes = TRUE} (the default), it is combined with the default mapping at the top level of the plot. You must supply \code{mapping} if there is no plot mapping.} \item{data}{The data to be displayed in this layer. There are three options: If \code{NULL}, the default, the data is inherited from the plot data as specified in the call to \code{\link[ggplot2:ggplot]{ggplot()}}. A \code{data.frame}, or other object, will override the plot data. All objects will be fortified to produce a data frame. See \code{\link[ggplot2:fortify]{fortify()}} for which variables will be created. A \code{function} will be called with a single argument, the plot data. The return value must be a \code{data.frame}, and will be used as the layer data. A \code{function} can be created from a \code{formula} (e.g. \code{~ head(.x, 10)}).} \item{stat}{The statistical transformation to use on the data for this layer, as a string. The default (\code{stat = 'fivenumber'}) calls \code{\link{stat_fivenumber}} and produces whiskers that extend from the interquartile range to the extremes of the data; specifying \code{\link[ggplot2]{stat_boxplot}} will produce a more traditional boxplot with whiskers extending to the most extreme points that are < 1.5 IQR away from the hinges (i.e., the first and third quartiles).} \item{position}{A position adjustment to use on the data for this layer. This can be used in various ways, including to prevent overplotting and improving the display. The \code{position} argument accepts the following: \itemize{ \item The result of calling a position function, such as \code{position_jitter()}. This method allows for passing extra arguments to the position. \item A string naming the position adjustment. To give the position as a string, strip the function name of the \code{position_} prefix. For example, to use \code{position_jitter()}, give the position as \code{"jitter"}. \item For more information and other ways to specify the position, see the \link[ggplot2:layer_positions]{layer position} documentation. }} \item{outlier.colour}{colour for outlying points} \item{outlier.shape}{shape of outlying points} \item{outlier.size}{size of outlying points} \item{outlier.stroke}{stroke for outlying points} \item{voffset}{controls the size of the gap in the line representing the median when \code{median.type = 'line'}. This is a fraction of the range of \code{y}.} \item{hoffset}{controls how much the interquartile line is offset from the whiskers when \code{median.type = 'line'}. This is a fraction of the range of \code{x}.} \item{na.rm}{If \code{FALSE}, the default, missing values are removed with a warning. If \code{TRUE}, missing values are silently removed.} \item{show.legend}{logical. Should this layer be included in the legends? \code{NA}, the default, includes if any aesthetics are mapped. \code{FALSE} never includes, and \code{TRUE} always includes. It can also be a named logical vector to finely select the aesthetics to display. To include legend keys for all levels, even when no data exists, use \code{TRUE}. If \code{NA}, all levels are shown in legend, but unobserved levels are omitted.} \item{inherit.aes}{If \code{FALSE}, overrides the default aesthetics, rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g. \code{\link[ggplot2:annotation_borders]{annotation_borders()}}.} \item{median.type}{If \code{'point'}, then the median is represented by a point, and the interquartile range by a gap in the line. If \code{median.type='line'}, then the interquartile range is represented by a line, possibly offset, and the median by a gap in the line.} \item{whisker.type}{If \code{'line'}, then whiskers are represented by lines. If \code{'point'}, then whiskers are represented by points at \code{ymin} and \code{ymax}.} \item{...}{Other arguments passed on to \code{\link[ggplot2:layer]{layer()}}'s \code{params} argument. These arguments broadly fall into one of 4 categories below. Notably, further arguments to the \code{position} argument, or aesthetics that are required can \emph{not} be passed through \code{...}. Unknown arguments that are not part of the 4 categories below are ignored. \itemize{ \item Static aesthetics that are not mapped to a scale, but are at a fixed value and apply to the layer as a whole. For example, \code{colour = "red"} or \code{linewidth = 3}. The geom's documentation has an \strong{Aesthetics} section that lists the available options. The 'required' aesthetics cannot be passed on to the \code{params}. Please note that while passing unmapped aesthetics as vectors is technically possible, the order and required length is not guaranteed to be parallel to the input data. \item When constructing a layer using a \verb{stat_*()} function, the \code{...} argument can be used to pass on parameters to the \code{geom} part of the layer. An example of this is \code{stat_density(geom = "area", outline.type = "both")}. The geom's documentation lists which parameters it can accept. \item Inversely, when constructing a layer using a \verb{geom_*()} function, the \code{...} argument can be used to pass on parameters to the \code{stat} part of the layer. An example of this is \code{geom_area(stat = "density", adjust = 0.5)}. The stat's documentation lists which parameters it can accept. \item The \code{key_glyph} argument of \code{\link[ggplot2:layer]{layer()}} may also be passed on through \code{...}. This can be one of the functions described as \link[ggplot2:draw_key]{key glyphs}, to change the display of the layer in the legend. }} } \description{ Edward Tufte's revisions of the box plot as described in \emph{The Visual Display of Quantitative Information}. This functions provides several box plot variants: \itemize{ \item{A point indicating the median, a gap indicating the interquartile range, and lines for whiskers.} \item{An offset line indicating the interquartile range and a gap indicating the median.} \item{A line indicating the interquartile range, a gap indicating the median, and points indicating the minimum and maximum values} \item{A wide line indicating the interquartile range, a gap indicating the median, and lines indicating the minimum and maximum.} } } \section{Aesthetics}{ \itemize{ \item x [required] \item y [required] \item colour \item size \item linetype \item shape \item fill \item alpha } } \examples{ library("ggplot2") p <- ggplot(mtcars, aes(factor(cyl), mpg)) # with a point for the median and lines for whiskers p + geom_tufteboxplot() # with a line for the interquartile range and points for whiskers p + geom_tufteboxplot(median.type = "line", whisker.type = "point", hoffset = 0) # with a wide line for the interquartile range and lines for whiskers p + geom_tufteboxplot(median.type = "line", hoffset = 0, width = 3) # with an offset line for the interquartile range and lines for whiskers p + geom_tufteboxplot(median.type = "line") # combined with theme_tufte p + geom_tufteboxplot() + theme_tufte() + theme(axis.ticks.x = element_blank()) # traditional boxplot with whiskers only out to 1.5 IQR, outlier points p + geom_tufteboxplot(stat = "boxplot", outlier.shape = 5) } \references{ Tufte, Edward R. (2001) The Visual Display of Quantitative Information, Chapter 6. McGill, R., Tukey, J. W. and Larsen, W. A. (1978) Variations of box plots. The American Statistician 32, 12-16. } \seealso{ \code{\link[ggplot2]{geom_boxplot}()} Other geom tufte: \code{\link{geom_rangeframe}()} } \concept{geom tufte} \keyword{datasets} ggthemes/man/canva_palettes.Rd0000644000176200001440000000351115112461554016114 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/canva.R \docType{data} \name{canva_palettes} \alias{canva_palettes} \title{150 Color Palettes from Canva} \format{ A named \code{list} of character vector. The names are the palette names. The values of the character vectors are hex colors, e.g. \code{"#f98866"}. } \usage{ canva_palettes } \description{ 150 four-color palettes by the \href{https://www.canva.com/learn/}{canva.com} design school. These palettes were derived from photos and "impactful websites". } \examples{ require("ggplot2") require("tibble") if (require("purrr") && require("scales") && require("dplyr")) { canva_df <- map2_df( canva_palettes, names(canva_palettes), ~ tibble( colors = .x, .id = seq_along(colors), palette = .y ) ) ggplot( canva_df, aes( y = palette, x = .id, fill = colors ) ) + geom_raster() + scale_fill_identity(guide = FALSE) + theme_minimal() + theme( panel.grid = element_blank(), axis.text.x = element_blank() ) + labs(x = "", y = "") show_col(canva_pal("Fresh and bright")(4)) show_col(canva_pal("Cool blues")(4)) show_col(canva_pal("Modern and crisp")(4)) } } \references{ \itemize{ \item{Janie Kliever, \href{https://www.canva.com/learn/100-color-combinations/}{100 Brilliant Color Combinations and How to Apply Them to Your Designs}, \emph{Canva.com}, June 20, 2015.} \item{Mary Stribley, \href{https://www.canva.com/learn/website-color-schemes/}{Website Color Schemes: The Palettes of 50 Visually Impactful Websites to Inspire You}, \emph{Canva.com}, January 26, 2016.} \item{Schwabish, Jonathan. \href{https://policyviz.com/2017/01/12/150-color-palettes-for-excel/}{150+ Color Palettes for Excel}, \emph{PolicyViz}, January 12, 2017.} } } \keyword{datasets} ggthemes/man/scale_solarized.Rd0000644000176200001440000000673415112461554016300 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/solarized.R \name{scale_fill_solarized} \alias{scale_fill_solarized} \alias{scale_colour_solarized} \alias{scale_color_solarized} \title{Solarized color scales} \usage{ scale_fill_solarized(accent = "blue", ...) scale_colour_solarized(accent = "blue", ...) scale_color_solarized(accent = "blue", ...) } \arguments{ \item{accent}{\code{character} Starting color.} \item{...}{ Arguments passed on to \code{\link[ggplot2:discrete_scale]{discrete_scale}} \describe{ \item{\code{breaks}}{One of: \itemize{ \item \code{NULL} for no breaks \item \code{waiver()} for the default breaks (the scale limits) \item A character vector of breaks \item A function that takes the limits as input and returns breaks as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{limits}}{One of: \itemize{ \item \code{NULL} to use the default scale values \item A character vector that defines possible values of the scale and their order \item A function that accepts the existing (automatic) values and returns new ones. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{drop}}{Should unused factor levels be omitted from the scale? The default, \code{TRUE}, uses the levels that appear in the data; \code{FALSE} includes the levels in the factor. Please note that to display every level in a legend, the layer should use \code{show.legend = TRUE}.} \item{\code{na.translate}}{Unlike continuous scales, discrete scales can easily show missing values, and do so by default. If you want to remove missing values from a discrete scale, specify \code{na.translate = FALSE}.} \item{\code{minor_breaks}}{One of: \itemize{ \item \code{NULL} for no minor breaks \item \code{waiver()} for the default breaks (none for discrete, one minor break between each major break for continuous) \item A numeric vector of positions \item A function that given the limits returns a vector of minor breaks. Also accepts rlang \link[rlang:as_function]{lambda} function notation. When the function has two arguments, it will be given the limits and major break positions. }} \item{\code{labels}}{One of the options below. Please note that when \code{labels} is a vector, it is highly recommended to also set the \code{breaks} argument as a vector to protect against unintended mismatches. \itemize{ \item \code{NULL} for no labels \item \code{waiver()} for the default labels computed by the transformation object \item A character vector giving labels (must be same length as \code{breaks}) \item An expression vector (must be the same length as breaks). See ?plotmath for details. \item A function that takes the breaks as input and returns labels as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{guide}}{A function used to create a guide or its name. See \code{\link[ggplot2:guides]{guides()}} for more information.} \item{\code{call}}{The \code{call} used to construct the scale for reporting messages.} \item{\code{super}}{The super class to use for the constructed scale} }} } \description{ See \code{\link{solarized_pal}()} for details. } \examples{ library("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) p + theme_solarized() + scale_colour_solarized() } \seealso{ Other solarized colour: \code{\link{solarized_pal}()} } \concept{colour scales} \concept{solarized colour} ggthemes/man/scale_shape_stata.Rd0000644000176200001440000000646715112461554016603 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/stata.R \name{scale_shape_stata} \alias{scale_shape_stata} \title{Stata shape scale} \usage{ scale_shape_stata(...) } \arguments{ \item{...}{ Arguments passed on to \code{\link[ggplot2:discrete_scale]{discrete_scale}} \describe{ \item{\code{breaks}}{One of: \itemize{ \item \code{NULL} for no breaks \item \code{waiver()} for the default breaks (the scale limits) \item A character vector of breaks \item A function that takes the limits as input and returns breaks as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{limits}}{One of: \itemize{ \item \code{NULL} to use the default scale values \item A character vector that defines possible values of the scale and their order \item A function that accepts the existing (automatic) values and returns new ones. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{drop}}{Should unused factor levels be omitted from the scale? The default, \code{TRUE}, uses the levels that appear in the data; \code{FALSE} includes the levels in the factor. Please note that to display every level in a legend, the layer should use \code{show.legend = TRUE}.} \item{\code{na.translate}}{Unlike continuous scales, discrete scales can easily show missing values, and do so by default. If you want to remove missing values from a discrete scale, specify \code{na.translate = FALSE}.} \item{\code{na.value}}{If \code{na.translate = TRUE}, what aesthetic value should the missing values be displayed as? Does not apply to position scales where \code{NA} is always placed at the far right.} \item{\code{aesthetics}}{The names of the aesthetics that this scale works with.} \item{\code{minor_breaks}}{One of: \itemize{ \item \code{NULL} for no minor breaks \item \code{waiver()} for the default breaks (none for discrete, one minor break between each major break for continuous) \item A numeric vector of positions \item A function that given the limits returns a vector of minor breaks. Also accepts rlang \link[rlang:as_function]{lambda} function notation. When the function has two arguments, it will be given the limits and major break positions. }} \item{\code{labels}}{One of the options below. Please note that when \code{labels} is a vector, it is highly recommended to also set the \code{breaks} argument as a vector to protect against unintended mismatches. \itemize{ \item \code{NULL} for no labels \item \code{waiver()} for the default labels computed by the transformation object \item A character vector giving labels (must be same length as \code{breaks}) \item An expression vector (must be the same length as breaks). See ?plotmath for details. \item A function that takes the breaks as input and returns labels as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{call}}{The \code{call} used to construct the scale for reporting messages.} \item{\code{super}}{The super class to use for the constructed scale} }} } \description{ See \code{\link{stata_shape_pal}()} for details. } \examples{ \dontrun{ library("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, shape = factor(gear))) + facet_wrap(~am) p + theme_stata() + scale_shape_stata() } } \concept{shape stata} ggthemes/man/ggthemes-package.Rd0000644000176200001440000000255115112373173016321 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/ggthemes-package.R \docType{package} \name{ggthemes-package} \alias{ggthemes} \alias{ggthemes-package} \title{ggthemes: Extra Themes, Scales and Geoms for 'ggplot2'} \description{ Some extra themes, geoms, and scales for 'ggplot2'. Provides 'ggplot2' themes and scales that replicate the look of plots by Edward Tufte, Stephen Few, 'Fivethirtyeight', 'The Economist', 'Stata', 'Excel', and 'The Wall Street Journal', among others. Provides 'geoms' for Tufte's box plot and range frame. } \seealso{ Useful links: \itemize{ \item \url{https://jrnold.github.io/ggthemes/} \item \url{https://github.com/jrnold/ggthemes} \item \url{http://jrnold.github.io/ggthemes/} \item Report bugs at \url{https://github.com/jrnold/ggthemes/issues} } } \author{ \strong{Maintainer}: Jeffrey B. Arnold \email{jeffrey.arnold@gmail.com} () Other contributors: \itemize{ \item Gergely Daroczi [contributor] \item Bo Werth [contributor] \item Brian Weitzner [contributor] \item Joshua Kunst [contributor] \item Baptise Auguie [contributor] \item Bob Rudis [contributor] \item Hadley Wickham (Code from the ggplot2 package.) [contributor] \item Justin Talbot (Code from the labeling package) [contributor] \item Joshua London [contributor] } } \keyword{internal} ggthemes/man/cleveland_shape_pal.Rd0000644000176200001440000000410715112366564017103 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/shapes.R \name{cleveland_shape_pal} \alias{cleveland_shape_pal} \title{Shape palette from Cleveland "Elements of Graphing Data" (discrete).} \usage{ cleveland_shape_pal(overlap = TRUE) } \arguments{ \item{overlap}{\code{logical} Use the scale for overlapping points?} } \description{ Shape palettes for overlapping and non-overlapping points. } \note{ In the \emph{Elements of Graphing Data}, W.S. Cleveland suggests two shape palettes for scatter plots: one for overlapping data and another for non-overlapping data. The symbols for overlapping data relies on pattern discrimination, while the symbols for non-overlapping data vary the amount of fill. This palette attempts to create these palettes. However, I found that these were hard to replicate. Using the R shapes and unicode fonts: the symbols can vary in size, they are dependent of the fonts used, and there does not exist a unicode symbol for a circle with a vertical line. If someone can improve this palette, please let me know. Following Tremmel (1995), I replace the circle with a vertical line with an encircled plus sign. The palette \code{cleveland_shape_pal()} supports up to five values. } \examples{ ### (discrete). \dontrun{ library("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, shape = factor(gear))) + facet_wrap(~am) + theme_bw() # overlapping symbol palette p + scale_shape_cleveland() # non-overlapping symbol palette p + scale_shape_cleveland(overlap = FALSE) } } \references{ Cleveland WS. \emph{The Elements of Graphing Data}. Revised Edition. Hobart Press, Summit, NJ, 1994, pp. 154-164, 234-239. Tremmel, Lothar, (1995) "The Visual Separability of Plotting Symbols in Scatterplots", \emph{Journal of Computational and Graphical Statistics}, \url{https://www.jstor.org/stable/1390760} } \seealso{ Other shapes: \code{\link{circlefill_shape_pal}()}, \code{\link{scale_shape_circlefill}()}, \code{\link{scale_shape_cleveland}()}, \code{\link{scale_shape_tremmel}()}, \code{\link{tremmel_shape_pal}()} } \concept{shapes} ggthemes/man/scale_wsj.Rd0000644000176200001440000000665015112461554015104 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/wsj.R \name{scale_colour_wsj} \alias{scale_colour_wsj} \alias{scale_color_wsj} \alias{scale_fill_wsj} \title{Wall Street Journal color and fill scales} \usage{ scale_colour_wsj(palette = "colors6", ...) scale_color_wsj(palette = "colors6", ...) scale_fill_wsj(palette = "colors6", ...) } \arguments{ \item{palette}{\code{character} The color palette to use: . \Sexpr[results=rd]{ggthemes:::rd_optlist(names(ggthemes::ggthemes_data$wsj$palettes))}} \item{...}{ Arguments passed on to \code{\link[ggplot2:discrete_scale]{discrete_scale}} \describe{ \item{\code{breaks}}{One of: \itemize{ \item \code{NULL} for no breaks \item \code{waiver()} for the default breaks (the scale limits) \item A character vector of breaks \item A function that takes the limits as input and returns breaks as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{limits}}{One of: \itemize{ \item \code{NULL} to use the default scale values \item A character vector that defines possible values of the scale and their order \item A function that accepts the existing (automatic) values and returns new ones. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{drop}}{Should unused factor levels be omitted from the scale? The default, \code{TRUE}, uses the levels that appear in the data; \code{FALSE} includes the levels in the factor. Please note that to display every level in a legend, the layer should use \code{show.legend = TRUE}.} \item{\code{na.translate}}{Unlike continuous scales, discrete scales can easily show missing values, and do so by default. If you want to remove missing values from a discrete scale, specify \code{na.translate = FALSE}.} \item{\code{minor_breaks}}{One of: \itemize{ \item \code{NULL} for no minor breaks \item \code{waiver()} for the default breaks (none for discrete, one minor break between each major break for continuous) \item A numeric vector of positions \item A function that given the limits returns a vector of minor breaks. Also accepts rlang \link[rlang:as_function]{lambda} function notation. When the function has two arguments, it will be given the limits and major break positions. }} \item{\code{labels}}{One of the options below. Please note that when \code{labels} is a vector, it is highly recommended to also set the \code{breaks} argument as a vector to protect against unintended mismatches. \itemize{ \item \code{NULL} for no labels \item \code{waiver()} for the default labels computed by the transformation object \item A character vector giving labels (must be same length as \code{breaks}) \item An expression vector (must be the same length as breaks). See ?plotmath for details. \item A function that takes the breaks as input and returns labels as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{guide}}{A function used to create a guide or its name. See \code{\link[ggplot2:guides]{guides()}} for more information.} \item{\code{call}}{The \code{call} used to construct the scale for reporting messages.} \item{\code{super}}{The super class to use for the constructed scale} }} } \description{ Colour and fill scales which use the palettes in \code{\link{wsj_pal}()}. These scales should be used with \code{\link{theme_wsj}()}. } \seealso{ Other colour wsj: \code{\link{wsj_pal}()} } \concept{colour wsj} ggthemes/man/scale_colour_canva.Rd0000644000176200001440000000130215112373173016740 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/canva.R \name{scale_colour_canva} \alias{scale_colour_canva} \alias{scale_color_canva} \alias{scale_fill_canva} \title{Discrete color scale using canva.com color palettes} \usage{ scale_colour_canva(..., palette = "Fresh and bright") scale_color_canva(..., palette = "Fresh and bright") scale_fill_canva(..., palette = "Fresh and bright") } \arguments{ \item{...}{Arguments passed to \code{\link[ggplot2]{discrete_scale}()}.} \item{palette}{Palette name. See the names of \code{\link{canva_palettes}()} for valid names.} } \description{ Color scale for canva.com color palettes described in \code{\link{canva_palettes}()}. } ggthemes/man/theme_pander.Rd0000644000176200001440000000356415112366564015573 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/pander.R \name{theme_pander} \alias{theme_pander} \title{A ggplot theme originated from the pander package} \usage{ theme_pander( base_size = 12, base_family = "sans", nomargin = TRUE, ff = NULL, fc = "black", fs = NULL, gM = TRUE, gm = TRUE, gc = "grey", gl = "dashed", boxes = FALSE, bc = "white", pc = "transparent", lp = "right", axis = 1 ) } \arguments{ \item{base_size}{base font size, given in pts.} \item{base_family}{base font family} \item{nomargin}{suppress the white space around the plot (boolean)} \item{ff}{font family, like \code{sans}. Deprecated: use \code{base_family} instead.} \item{fc}{font color (name or hexa code)} \item{fs}{font size (integer). Deprecated: use \code{base_size} instead.} \item{gM}{major grid (boolean)} \item{gm}{minor grid (boolean)} \item{gc}{grid color (name or hexa code)} \item{gl}{grid line type (\code{lty})} \item{boxes}{to render a border around the plot or not} \item{bc}{background color (name or hexa code)} \item{pc}{panel background color (name or hexa code)} \item{lp}{legend position} \item{axis}{axis angle as defined in \code{par(les)}} } \description{ The \pkg{pander} ships with a default theme when the 'unify plots' option is enabled via \code{panderOptions}, which is now also available outside of \pkg{pander} internals, like \code{evals}, \code{eval.msgs} or \code{Pandoc.brew}. } \examples{ require("ggplot2") if (require("pander")) { p <- ggplot(mtcars, aes(x = mpg, y = wt)) + geom_point() p + theme_pander() panderOptions("graph.grid.color", "red") p + theme_pander() p <- ggplot(mtcars, aes(wt, mpg, colour = factor(cyl))) + geom_point() p + theme_pander() + scale_color_pander() ggplot(mpg, aes(x = class, fill = drv)) + geom_bar() + scale_fill_pander() + theme_pander() } } ggthemes/man/stata_pal.Rd0000644000176200001440000000131715112366564015102 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/stata.R \name{stata_pal} \alias{stata_pal} \title{Stata color palettes (discrete)} \usage{ stata_pal(scheme = "s2color") } \arguments{ \item{scheme}{\code{character}. One of \code{"s2color"}, \code{"s1rcolor"}, \code{"s1color"}, or \code{"mono"}.} } \description{ Stata color palettes. See Stata documentation for a description of the schemes, \url{https://www.stata.com/help.cgi?schemes}. } \details{ All these palettes support up to 15 values. } \examples{ library("scales") show_col(stata_pal("s2color")(15)) show_col(stata_pal("s1rcolor")(15)) show_col(stata_pal("s1color")(15)) show_col(stata_pal("mono")(15)) } \concept{stata colour} ggthemes/man/calc_shape_pal.Rd0000644000176200001440000000067015112366564016051 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/calc.R \name{calc_shape_pal} \alias{calc_shape_pal} \title{Calc shape palette (discrete)} \usage{ calc_shape_pal() } \description{ Shape palette based on the shapes used in LibreOffice Calc. } \examples{ \dontrun{ library("ggplot2") show_shapes(calc_shape_pal()(13)) } } \seealso{ Other shapes calc: \code{\link{scale_shape_calc}()} } \concept{shapes calc} ggthemes/man/theme_gdocs.Rd0000644000176200001440000000113315112366564015407 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/gdocs.R \name{theme_gdocs} \alias{theme_gdocs} \title{Theme with Google Docs Chart defaults} \usage{ theme_gdocs(base_size = 12, base_family = "sans") } \arguments{ \item{base_size}{base font size, given in pts.} \item{base_family}{base font family} } \description{ Theme similar to the default look of charts in Google Docs. } \examples{ library("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) p + theme_gdocs() + scale_color_gdocs() } \concept{themes gdocs} ggthemes/man/theme_tufte.Rd0000644000176200001440000000276415112461554015445 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/tufte.R \name{theme_tufte} \alias{theme_tufte} \title{Tufte Maximal Data, Minimal Ink Theme} \usage{ theme_tufte(base_size = 11, base_family = "serif", ticks = TRUE) } \arguments{ \item{base_size}{base font size, given in pts.} \item{base_family}{base font family} \item{ticks}{\code{logical} Show axis ticks?} } \description{ Theme based on Chapter 6 'Data-Ink Maximization and Graphical Design' of Edward Tufte *The Visual Display of Quantitative Information*. No border, no axis lines, no grids. This theme works best in combination with \code{\link[ggplot2]{geom_rug}()} or \code{\link{geom_rangeframe}()}. } \note{ The default font family is set to 'serif' as he uses serif fonts for labels in 'The Visual Display of Quantitative Information'. The serif font used by Tufte in his books is a variant of Bembo, while the sans serif font is Gill Sans. If these fonts are installed on your system, then you can use them with the package \bold{extrafont}. } \examples{ library("ggplot2") p <- ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point() + scale_x_continuous(breaks = extended_range_breaks()(mtcars$wt)) + scale_y_continuous(breaks = extended_range_breaks()(mtcars$mpg)) + ggtitle("Cars") p + geom_rangeframe() + coord_cartesian(clip = "off") + theme_tufte() p + geom_rug() + theme_tufte(ticks = FALSE) } \references{ Tufte, Edward R. (2001) The Visual Display of Quantitative Information, Chapter 6. } \concept{themes tufte} ggthemes/man/theme_economist.Rd0000644000176200001440000000523615112366564016320 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/economist.R \name{theme_economist} \alias{theme_economist} \alias{theme_economist_white} \title{ggplot color theme based on the Economist} \usage{ theme_economist( base_size = 10, base_family = "sans", horizontal = TRUE, dkpanel = FALSE ) theme_economist_white( base_size = 11, base_family = "sans", gray_bg = TRUE, horizontal = TRUE ) } \arguments{ \item{base_size}{base font size, given in pts.} \item{base_family}{base font family} \item{horizontal}{\code{logical} Horizontal axis lines?} \item{dkpanel}{\code{logical} Darker background for panel region?} \item{gray_bg}{\code{logical} If \code{TRUE}, use gray background, else use white background.} } \value{ An object of class \code{\link[ggplot2]{theme}()}. } \description{ A theme that approximates the style of \emph{The Economist}. } \details{ \code{theme_economist} implements the standard bluish-gray background theme in the print \emph{The Economist} and \href{https://www.economist.com/}{economist.com}. \code{theme_economist_white} implements a variant with a while panel and light gray (or white) background often used by \emph{The Economist} blog \href{https://www.economist.com/blogs/graphicdetail}{Graphic Detail}. Use \code{\link{scale_color_economist}()} with this theme. The x axis should be displayed on the right hand side. \emph{The Economist} uses "ITC Officina Sans" as its font for graphs. If you have access to this font, you can use it with the \pkg{extrafont} package. "Verdana" is a good substitute. } \examples{ library("ggplot2") p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) + # Economist puts x-axis labels on the right-hand side scale_y_continuous(position = "right") ## Standard p + theme_economist() + scale_colour_economist() # Change axis lines to vertical p + theme_economist(horizontal = FALSE) + scale_colour_economist() + coord_flip() ## White panel/light gray background p + theme_economist_white() + scale_colour_economist() ## All white variant p + theme_economist_white(gray_bg = FALSE) + scale_colour_economist() \dontrun{ ## The Economist uses ITC Officina Sans library("extrafont") p + theme_economist(base_family="ITC Officina Sans") + scale_colour_economist() ## Verdana is a widely available substitute p + theme_economist(base_family="Verdana") + scale_colour_economist() } } \references{ \itemize{ \item \href{https://www.economist.com/}{The Economist} \item \href{https://spiekermann.com/en/itc-officina-display/}{Spiekerblog, "ITC Officina Display", January 1, 2007.} } } \concept{themes economist} ggthemes/man/stat_fivenumber.Rd0000644000176200001440000001352515112461554016326 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/stat-fivenumber.R \docType{data} \name{stat_fivenumber} \alias{stat_fivenumber} \alias{StatFivenumber} \title{Calculate components of a five-number summary} \usage{ stat_fivenumber( mapping = NULL, data = NULL, geom = "boxplot", probs = c(0, 0.25, 0.5, 0.75, 1), na.rm = FALSE, position = "identity", show.legend = NA, inherit.aes = TRUE, ... ) } \arguments{ \item{mapping}{Set of aesthetic mappings created by \code{\link[ggplot2:aes]{aes()}}. If specified and \code{inherit.aes = TRUE} (the default), it is combined with the default mapping at the top level of the plot. You must supply \code{mapping} if there is no plot mapping.} \item{data}{The data to be displayed in this layer. There are three options: If \code{NULL}, the default, the data is inherited from the plot data as specified in the call to \code{\link[ggplot2:ggplot]{ggplot()}}. A \code{data.frame}, or other object, will override the plot data. All objects will be fortified to produce a data frame. See \code{\link[ggplot2:fortify]{fortify()}} for which variables will be created. A \code{function} will be called with a single argument, the plot data. The return value must be a \code{data.frame}, and will be used as the layer data. A \code{function} can be created from a \code{formula} (e.g. \code{~ head(.x, 10)}).} \item{geom}{The geometric object to use to display the data for this layer. When using a \verb{stat_*()} function to construct a layer, the \code{geom} argument can be used to override the default coupling between stats and geoms. The \code{geom} argument accepts the following: \itemize{ \item A \code{Geom} ggproto subclass, for example \code{GeomPoint}. \item A string naming the geom. To give the geom as a string, strip the function name of the \code{geom_} prefix. For example, to use \code{geom_point()}, give the geom as \code{"point"}. \item For more information and other ways to specify the geom, see the \link[ggplot2:layer_geoms]{layer geom} documentation. }} \item{probs}{Quantiles to use for the five number summary.} \item{na.rm}{If \code{FALSE} (the default), removes missing values with a warning. If \code{TRUE} silently removes missing values.} \item{position}{A position adjustment to use on the data for this layer. This can be used in various ways, including to prevent overplotting and improving the display. The \code{position} argument accepts the following: \itemize{ \item The result of calling a position function, such as \code{position_jitter()}. This method allows for passing extra arguments to the position. \item A string naming the position adjustment. To give the position as a string, strip the function name of the \code{position_} prefix. For example, to use \code{position_jitter()}, give the position as \code{"jitter"}. \item For more information and other ways to specify the position, see the \link[ggplot2:layer_positions]{layer position} documentation. }} \item{show.legend}{logical. Should this layer be included in the legends? \code{NA}, the default, includes if any aesthetics are mapped. \code{FALSE} never includes, and \code{TRUE} always includes. It can also be a named logical vector to finely select the aesthetics to display. To include legend keys for all levels, even when no data exists, use \code{TRUE}. If \code{NA}, all levels are shown in legend, but unobserved levels are omitted.} \item{inherit.aes}{If \code{FALSE}, overrides the default aesthetics, rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g. \code{\link[ggplot2:annotation_borders]{annotation_borders()}}.} \item{...}{Other arguments passed on to \code{\link[ggplot2:layer]{layer()}}'s \code{params} argument. These arguments broadly fall into one of 4 categories below. Notably, further arguments to the \code{position} argument, or aesthetics that are required can \emph{not} be passed through \code{...}. Unknown arguments that are not part of the 4 categories below are ignored. \itemize{ \item Static aesthetics that are not mapped to a scale, but are at a fixed value and apply to the layer as a whole. For example, \code{colour = "red"} or \code{linewidth = 3}. The geom's documentation has an \strong{Aesthetics} section that lists the available options. The 'required' aesthetics cannot be passed on to the \code{params}. Please note that while passing unmapped aesthetics as vectors is technically possible, the order and required length is not guaranteed to be parallel to the input data. \item When constructing a layer using a \verb{stat_*()} function, the \code{...} argument can be used to pass on parameters to the \code{geom} part of the layer. An example of this is \code{stat_density(geom = "area", outline.type = "both")}. The geom's documentation lists which parameters it can accept. \item Inversely, when constructing a layer using a \verb{geom_*()} function, the \code{...} argument can be used to pass on parameters to the \code{stat} part of the layer. An example of this is \code{geom_area(stat = "density", adjust = 0.5)}. The stat's documentation lists which parameters it can accept. \item The \code{key_glyph} argument of \code{\link[ggplot2:layer]{layer()}} may also be passed on through \code{...}. This can be one of the functions described as \link[ggplot2:draw_key]{key glyphs}, to change the display of the layer in the legend. }} } \value{ A data frame with additional columns: \item{width}{width of boxplot} \item{min}{minimum} \item{lower}{lower hinge, 25\% quantile} \item{middle}{median, 50\% quantile} \item{upper}{upper hinge, 75\% quantile} \item{max}{maximum} } \description{ The five number summary of a sample is the minimum, first quartile, median, third quartile, and maximum. } \seealso{ \code{\link[ggplot2]{stat_boxplot}()} } \keyword{datasets} ggthemes/man/tremmel_shape_pal.Rd0000644000176200001440000000306115112366564016611 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/shapes.R \name{tremmel_shape_pal} \alias{tremmel_shape_pal} \title{Shape palette from Tremmel (1995) (discrete)} \usage{ tremmel_shape_pal(overlap = FALSE, alt = FALSE) } \arguments{ \item{overlap}{use an empty circle instead of a solid circle when \code{n == 2}.} \item{alt}{If \code{TRUE}, then when \code{n == 3}, use a solid circle, plus sign and empty triangle. Otherwise use a solid circle, empty circle, and empty triangle.} } \description{ Based on experiments Tremmel (1995) suggests the following shape palettes: } \details{ If two symbols, then use a solid circle and plus sign. If three symbols, then use a solid circle, empty circle, and an empty triangle. However, that set of symbols does not satisfy the requirement that each symbol should differ from the other symbols in the same feature dimension. A set of three symbols that satisfies this is a circle (curvature), plus sign (number of terminators), triangle (line orientation). This palette supports up to three values. If more than three groups of data, then separate the groups into different plots. } \references{ Tremmel, Lothar, (1995) "The Visual Separability of Plotting Symbols in Scatterplots" Journal of Computational and Graphical Statistics, \url{https://www.jstor.org/stable/1390760} } \seealso{ Other shapes: \code{\link{circlefill_shape_pal}()}, \code{\link{cleveland_shape_pal}()}, \code{\link{scale_shape_circlefill}()}, \code{\link{scale_shape_cleveland}()}, \code{\link{scale_shape_tremmel}()} } \concept{shapes} ggthemes/man/tableau_shape_pal.Rd0000644000176200001440000000200215112366564016553 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/tableau.R \name{tableau_shape_pal} \alias{tableau_shape_pal} \title{Tableau Shape Palettes (discrete)} \usage{ tableau_shape_pal(palette = c("default", "filled", "proportions")) } \arguments{ \item{palette}{Palette name.} } \description{ Shape palettes used by \href{https://www.tableau.com/}{Tableau}. } \details{ Not all shape palettes in Tableau are supported. Additionally, these palettes are not exact, and use the best unicode character for the shape palette. Since these palettes use unicode characters, their look may depend on the font being used, and not all characters may be available. Shape palettes in Tableau are used to expose images for use a markers in charts, and thus are sometimes groupings of closely related symbols. } \examples{ \dontrun{ # need to set a font containing these values show_shapes(tableau_shape_pal()(5)) } } \seealso{ Other shape tableau: \code{\link{scale_shape_tableau}()} } \concept{shape tableau} ggthemes/man/scale_colour_gradient2_tableau.Rd0000644000176200001440000000430215112461554021230 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/tableau.R \name{scale_colour_gradient2_tableau} \alias{scale_colour_gradient2_tableau} \alias{scale_fill_gradient2_tableau} \alias{scale_color_gradient2_tableau} \title{Tableau diverging colour scales (continuous)} \usage{ scale_colour_gradient2_tableau( palette = "Orange-Blue Diverging", ..., na.value = "grey50", guide = "colourbar" ) scale_fill_gradient2_tableau( palette = "Orange-Blue Diverging", ..., na.value = "grey50", guide = "colourbar" ) scale_color_gradient2_tableau( palette = "Orange-Blue Diverging", ..., na.value = "grey50", guide = "colourbar" ) } \arguments{ \item{palette}{Palette name. \describe{ \item{\code{"ordered-sequential"}}{\Sexpr[results=rd]{ggthemes:::rd_optlist(names(ggthemes::ggthemes_data$tableau[["color-palettes"]][["ordered-sequential"]]))}} \item{\code{"ordered-diverging"}}{\Sexpr[results=rd]{ggthemes:::rd_optlist(names(ggthemes::ggthemes_data$tableau[["color-palettes"]][["ordered-diverging"]]))}} }} \item{...}{Arguments passed to \code{tableau_gradient_pal}.} \item{na.value}{Colour to use for missing values} \item{guide}{Type of legend. Use \code{'colourbar'} for continuous colour bar, or \code{'legend'} for discrete colour legend.} } \description{ Continuous color scales using the diverging color scales in Tableau. See \funclink{scale_colour_tableau} for Tabaleau discrete color scales, and \funclink{scale_colour_gradient_tableau} for sequential color scales. } \examples{ library("ggplot2") df <- data.frame( x = runif(100), y = runif(100), z1 = rnorm(100), z2 = abs(rnorm(100)) ) p <- ggplot(df, aes(x, y)) + geom_point(aes(colour = z2)) palettes <- ggthemes_data[["tableau"]][["color-palettes"]][["ordered-diverging"]] for (palette in head(names(palettes))) { print(p + scale_colour_gradient2_tableau(palette) + ggtitle(palette)) } # If you need to reverse a palette, use a transformation p + scale_colour_gradient2_tableau(trans = "reverse") } \seealso{ Other colour tableau: \code{\link{scale_colour_gradient_tableau}()}, \code{\link{scale_colour_tableau}()}, \code{\link{tableau_color_pal}()}, \code{\link{tableau_gradient_pal}()} } \concept{colour tableau} ggthemes/man/theme_excel.Rd0000644000176200001440000000211215112366564015406 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/excel.R \name{theme_excel} \alias{theme_excel} \title{ggplot theme based on old Excel plots} \usage{ theme_excel(base_size = 12, base_family = "", horizontal = TRUE) } \arguments{ \item{base_size}{base font size, given in pts.} \item{base_family}{base font family} \item{horizontal}{\code{logical}. Horizontal axis lines?} } \value{ An object of class \code{\link[ggplot2]{theme}()}. } \description{ Theme to replicate the ugly monstrosity that was the old gray-background Excel chart. Please never use this. This theme should be combined with the \code{\link{scale_colour_excel}()} color scale. } \examples{ library("ggplot2") # Line and scatter plot colors p <- ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) p + theme_excel() + scale_colour_excel() # Bar plot (area/fill) colors ggplot(mpg, aes(x = class, fill = drv)) + geom_bar() + scale_fill_excel() + theme_excel() } \seealso{ Other themes excel: \code{\link{theme_excel_new}()} } \concept{themes excel} ggthemes/man/theme_fivethirtyeight.Rd0000644000176200001440000000131515112366564017530 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/fivethirtyeight.R \name{theme_fivethirtyeight} \alias{theme_fivethirtyeight} \title{Theme inspired by FiveThirtyEight plots} \usage{ theme_fivethirtyeight(base_size = 12, base_family = "sans") } \arguments{ \item{base_size}{base font size, given in pts.} \item{base_family}{base font family} } \description{ Theme inspired by the plots from FiveThirtyEight.com. } \examples{ library("ggplot2") p <- ggplot(mtcars, aes(x = wt, y = mpg, colour = factor(gear))) + geom_point() + facet_wrap(~am) + geom_smooth(method = "lm", se = FALSE) + scale_color_fivethirtyeight() + theme_fivethirtyeight() p } \concept{themes fivethirtyeight} ggthemes/man/ptol_pal.Rd0000644000176200001440000000154215112712515014733 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/ptol.R \name{ptol_pal} \alias{ptol_pal} \title{Color Palettes from Paul Tol's "Colour Schemes"} \usage{ ptol_pal() } \description{ Qualitative color palettes from Paul Tol, \href{https://sronpersonalpages.nl/~pault/}{"Colour Schemes"}. } \details{ Incorporation of the palette into an R package was originally inspired by Peter Carl's [Paul Tol 21 Gun Salute](https://tradeblotter.wordpress.com/2013/02/28/the-paul-tol-21-color-salute/) } \examples{ library("scales") show_col(ptol_pal()(6)) show_col(ptol_pal()(4)) show_col(ptol_pal()(12)) } \references{ Paul Tol. 2012. "Colour Schemes." SRON Technical Note, SRON/EPS/TN/09-002. \url{https://sronpersonalpages.nl/~pault/data/colourschemes.pdf} } \seealso{ Other colour ptol: \code{\link{scale_colour_ptol}()} } \concept{colour ptol} ggthemes/man/scale_calc.Rd0000644000176200001440000000623515112461554015202 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/calc.R \name{scale_fill_calc} \alias{scale_fill_calc} \alias{scale_colour_calc} \alias{scale_color_calc} \title{LibreOffice Calc color scales} \usage{ scale_fill_calc(...) scale_colour_calc(...) scale_color_calc(...) } \arguments{ \item{...}{ Arguments passed on to \code{\link[ggplot2:discrete_scale]{discrete_scale}} \describe{ \item{\code{breaks}}{One of: \itemize{ \item \code{NULL} for no breaks \item \code{waiver()} for the default breaks (the scale limits) \item A character vector of breaks \item A function that takes the limits as input and returns breaks as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{limits}}{One of: \itemize{ \item \code{NULL} to use the default scale values \item A character vector that defines possible values of the scale and their order \item A function that accepts the existing (automatic) values and returns new ones. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{drop}}{Should unused factor levels be omitted from the scale? The default, \code{TRUE}, uses the levels that appear in the data; \code{FALSE} includes the levels in the factor. Please note that to display every level in a legend, the layer should use \code{show.legend = TRUE}.} \item{\code{na.translate}}{Unlike continuous scales, discrete scales can easily show missing values, and do so by default. If you want to remove missing values from a discrete scale, specify \code{na.translate = FALSE}.} \item{\code{minor_breaks}}{One of: \itemize{ \item \code{NULL} for no minor breaks \item \code{waiver()} for the default breaks (none for discrete, one minor break between each major break for continuous) \item A numeric vector of positions \item A function that given the limits returns a vector of minor breaks. Also accepts rlang \link[rlang:as_function]{lambda} function notation. When the function has two arguments, it will be given the limits and major break positions. }} \item{\code{labels}}{One of the options below. Please note that when \code{labels} is a vector, it is highly recommended to also set the \code{breaks} argument as a vector to protect against unintended mismatches. \itemize{ \item \code{NULL} for no labels \item \code{waiver()} for the default labels computed by the transformation object \item A character vector giving labels (must be same length as \code{breaks}) \item An expression vector (must be the same length as breaks). See ?plotmath for details. \item A function that takes the breaks as input and returns labels as output. Also accepts rlang \link[rlang:as_function]{lambda} function notation. }} \item{\code{guide}}{A function used to create a guide or its name. See \code{\link[ggplot2:guides]{guides()}} for more information.} \item{\code{call}}{The \code{call} used to construct the scale for reporting messages.} \item{\code{super}}{The super class to use for the constructed scale} }} } \description{ Color scales from LibreOffice Calc. } \seealso{ See \code{\link{theme_calc}()} for examples. Other colour calc: \code{\link{calc_pal}()} } \concept{colour calc} ggthemes/man/few_pal.Rd0000644000176200001440000000247615112366564014556 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/few.R \name{few_pal} \alias{few_pal} \title{Color Palettes Few "Show Me the Numbers"} \usage{ few_pal(palette = "Medium") } \arguments{ \item{palette}{One of \Sexpr[results=rd]{names(ggthemes:::rd_optlist(ggthemes::ggthemes_data$few$colors))}} } \description{ Qualitative color palettes from Stephen Few (2012) \emph{Show Me the Numbers}. There are three palettes: Light, Medium, and Dark. Each palette comprises nine colors: gray, blue, orange, green, pink, brown, purple, yellow, red. For \code{n = 1}, gray is used. For \code{n > 1}, the eight non-gray colors are used. } \details{ Use the light palette for filled areas, such as bar charts. Use the medium palette for points and lines. Use the dark palette for highlighting specific points or for small and thin lines and points. } \examples{ library("scales") show_col(few_pal()(7)) show_col(few_pal("Dark")(7)) show_col(few_pal("Light")(7)) } \references{ Few, S. (2012) \emph{Show Me the Numbers: Designing Tables and Graphs to Enlighten}. 2nd edition. Analytics Press. \href{https://www.perceptualedge.com/articles/visual_business_intelligence/rules_for_using_color.pdf}{"Practical Rules for Using Color in Charts"}. } \seealso{ Other colour few: \code{\link{scale_colour_few}()} } \concept{colour few} ggthemes/man/scale_colour_gradient_tableau.Rd0000644000176200001440000000452115112461554021151 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/tableau.R \name{scale_colour_gradient_tableau} \alias{scale_colour_gradient_tableau} \alias{scale_fill_gradient_tableau} \alias{scale_color_gradient_tableau} \alias{scale_color_continuous_tableau} \alias{scale_fill_continuous_tableau} \title{Tableau sequential colour scales (continuous)} \usage{ scale_colour_gradient_tableau( palette = "Blue", ..., na.value = "grey50", guide = "colourbar" ) scale_fill_gradient_tableau( palette = "Blue", ..., na.value = "grey50", guide = "colourbar" ) scale_color_gradient_tableau( palette = "Blue", ..., na.value = "grey50", guide = "colourbar" ) scale_color_continuous_tableau( palette = "Blue", ..., na.value = "grey50", guide = "colourbar" ) scale_fill_continuous_tableau( palette = "Blue", ..., na.value = "grey50", guide = "colourbar" ) } \arguments{ \item{palette}{Palette name. \describe{ \item{\code{"ordered-sequential"}}{\Sexpr[results=rd]{ggthemes:::rd_optlist(names(ggthemes::ggthemes_data$tableau[["color-palettes"]][["ordered-sequential"]]))}} \item{\code{"ordered-diverging"}}{\Sexpr[results=rd]{ggthemes:::rd_optlist(names(ggthemes::ggthemes_data$tableau[["color-palettes"]][["ordered-diverging"]]))}} }} \item{...}{Arguments passed to \code{tableau_gradient_pal}.} \item{na.value}{Colour to use for missing values} \item{guide}{Type of legend. Use \code{'colourbar'} for continuous colour bar, or \code{'legend'} for discrete colour legend.} } \description{ Continuous color scales using the sequential color palettes in Tableau. See \funclink{scale_colour_tableau} for Tableau discrete color scales, and \funclink{scale_colour_gradient2_tableau} for diverging color scales. } \examples{ library("ggplot2") df <- data.frame( x = runif(100), y = runif(100), z1 = rnorm(100), z2 = abs(rnorm(100)) ) p <- ggplot(df, aes(x, y)) + geom_point(aes(colour = z2)) + theme_igray() palettes <- ggthemes_data[["tableau"]][["color-palettes"]][["ordered-sequential"]] for (palette in head(names(palettes))) { print(p + scale_colour_gradient_tableau(palette) + ggtitle(palette)) } } \seealso{ Other colour tableau: \code{\link{scale_colour_gradient2_tableau}()}, \code{\link{scale_colour_tableau}()}, \code{\link{tableau_color_pal}()}, \code{\link{tableau_gradient_pal}()} } \concept{colour tableau} ggthemes/man/theme_calc.Rd0000644000176200001440000000131615112366564015215 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/calc.R \name{theme_calc} \alias{theme_calc} \title{Theme Calc} \usage{ theme_calc(base_size = 10, base_family = "sans") } \arguments{ \item{base_size}{base font size, given in pts.} \item{base_family}{base font family} } \description{ Theme similar to the default settings of LibreOffice Calc charts. } \examples{ library("ggplot2") ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, colour = factor(gear))) + facet_wrap(~am) + theme_calc() + scale_color_calc() \dontrun{ ggplot(mtcars) + geom_point(aes(x = wt, y = mpg, shape = factor(gear))) + facet_wrap(~am) + theme_calc() + scale_shape_calc() } } \concept{themes calc} ggthemes/man/theme_foundation.Rd0000644000176200001440000000243015112366564016457 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/theme-foundation.R \name{theme_foundation} \alias{theme_foundation} \title{Foundation Theme} \usage{ theme_foundation(base_size = 12, base_family = "") } \arguments{ \item{base_size}{base font size, given in pts.} \item{base_family}{base font family} } \description{ This theme is designed to be a foundation from which to build new themes, and not meant to be used directly. \code{theme_foundation()} is a complete theme with only minimal number of elements defined. It is easier to create new themes by extending this one rather than \code{\link[ggplot2]{theme_gray}()} or \code{\link[ggplot2]{theme_bw}()}, because those themes define elements deep in the hierarchy. } \details{ This theme takes \code{\link[ggplot2]{theme_gray}()} and sets all \code{colour} and \code{fill} values to \code{NULL}, except for the top-level elements (\code{line}, \code{rect}, and \code{title}), which have \code{colour = "black"}, and \code{fill = "white"}. This leaves the spacing and-non colour defaults of the default \pkg{ggplot2} themes in place. } \seealso{ Other themes: \code{\link{theme_base}()}, \code{\link{theme_clean}()}, \code{\link{theme_igray}()}, \code{\link{theme_par}()}, \code{\link{theme_solid}()} } \concept{themes} ggthemes/DESCRIPTION0000644000176200001440000000431115113074034013560 0ustar liggesusersPackage: ggthemes Version: 5.2.0 Title: Extra Themes, Scales and Geoms for 'ggplot2' Authors@R: c(person("Jeffrey B.", "Arnold", role = c("aut", "cre"), email = "jeffrey.arnold@gmail.com", comment = ""), person("Gergely", "Daroczi", role = "ctb"), person("Bo", "Werth", role = "ctb"), person("Brian", "Weitzner", role = "ctb"), person("Joshua", "Kunst", role = "ctb"), person("Baptise", "Auguie", role = "ctb"), person("Bob", "Rudis", role = "ctb"), person("Hadley", "Wickham", role = c("ctb"), comment = "Code from the ggplot2 package."), person("Justin", "Talbot", role = "ctb", comment = "Code from the labeling package"), person("Joshua", "London", role = "ctb")) Depends: R (>= 3.3.0) Imports: ggplot2 (>= 3.0.0), graphics, grid, lifecycle, methods, purrr, scales, stringr, tibble Suggests: dplyr, covr, extrafont, glue, knitr, lattice, lintr, maps, mapproj, pander, quantreg, rlang, rmarkdown, spelling, testthat (>= 3.2.0), tidyr, vdiffr, withr Description: Some extra themes, geoms, and scales for 'ggplot2'. Provides 'ggplot2' themes and scales that replicate the look of plots by Edward Tufte, Stephen Few, 'Fivethirtyeight', 'The Economist', 'Stata', 'Excel', and 'The Wall Street Journal', among others. Provides 'geoms' for Tufte's box plot and range frame. License: GPL-2 URL: https://jrnold.github.io/ggthemes/, https://github.com/jrnold/ggthemes, http://jrnold.github.io/ggthemes/ BugReports: https://github.com/jrnold/ggthemes/issues RoxygenNote: 7.3.3 LazyData: true Language: en-US Encoding: UTF-8 Config/testthat/edition: 3 Config/Needs/website: pkgdown NeedsCompilation: no Packaged: 2025-11-30 04:07:26 UTC; jrnold Author: Jeffrey B. Arnold [aut, cre] (), Gergely Daroczi [ctb], Bo Werth [ctb], Brian Weitzner [ctb], Joshua Kunst [ctb], Baptise Auguie [ctb], Bob Rudis [ctb], Hadley Wickham [ctb] (Code from the ggplot2 package.), Justin Talbot [ctb] (Code from the labeling package), Joshua London [ctb] Maintainer: Jeffrey B. Arnold Repository: CRAN Date/Publication: 2025-11-30 17:00:12 UTC