test_that("gglikert()", { skip_on_cran() skip_if_not_installed("labelled") skip_if_not_installed("ggplot2") skip_if_not_installed("dplyr") likert_levels <- c( "Strongly disagree", "Disagree", "Neither agree nor disagree", "Agree", "Strongly agree" ) set.seed(42) df <- dplyr::tibble( q1 = sample(likert_levels, 150, replace = TRUE), q2 = sample(likert_levels, 150, replace = TRUE, prob = 5:1), q3 = sample(likert_levels, 150, replace = TRUE, prob = 1:5), q4 = sample(likert_levels, 150, replace = TRUE, prob = 1:5), q5 = sample(c(likert_levels, NA), 150, replace = TRUE), q6 = sample(likert_levels, 150, replace = TRUE, prob = c(1, 0, 1, 1, 0)) ) %>% dplyr::mutate(dplyr::across( dplyr::everything(), ~ factor(.x, levels = likert_levels) )) likert_levels_dk <- c( "Strongly disagree", "Disagree", "Neither agree nor disagree", "Agree", "Strongly agree", "Don't know" ) df_dk <- dplyr::tibble( q1 = sample(likert_levels_dk, 150, replace = TRUE), q2 = sample(likert_levels_dk, 150, replace = TRUE, prob = 6:1), q3 = sample(likert_levels_dk, 150, replace = TRUE, prob = 1:6), q4 = sample(likert_levels_dk, 150, replace = TRUE, prob = 1:6), q5 = sample(c(likert_levels_dk, NA), 150, replace = TRUE), q6 = sample( likert_levels_dk, 150, replace = TRUE, prob = c(1, 0, 1, 1, 0, 1) ) ) %>% dplyr::mutate(dplyr::across( dplyr::everything(), ~ factor(.x, levels = likert_levels_dk) )) vdiffr::expect_doppelganger( "gglikert() mod simple", gglikert(df) ) expect_error( d <- gglikert_data(df), NA ) expect_equal(levels(d$.answer), likert_levels) vdiffr::expect_doppelganger( "gglikert() include and width", gglikert(df, include = q1:q3, width = .5) ) vdiffr::expect_doppelganger( "gglikert() variable_labels", gglikert(df, variable_labels = c(q2 = "second question")) ) vdiffr::expect_doppelganger( "gglikert() sort prop asc", gglikert(df, sort = "asc") ) vdiffr::expect_doppelganger( "gglikert() sort prop desc", gglikert(df, sort = "desc") ) vdiffr::expect_doppelganger( "gglikert() sort mean asc", gglikert(df, sort = "asc", sort_method = "mean") ) vdiffr::expect_doppelganger( "gglikert() sort mean desc", gglikert(df, sort = "desc", sort_method = "mean") ) vdiffr::expect_doppelganger( "gglikert() sort median asc", gglikert(df, sort = "asc", sort_method = "median") ) vdiffr::expect_doppelganger( "gglikert() sort median desc", gglikert(df, sort = "desc", sort_method = "median") ) vdiffr::expect_doppelganger( "gglikert() sort prop asc include_center", gglikert(df, sort = "asc", sort_prop_include_center = TRUE) ) vdiffr::expect_doppelganger( "gglikert() exclude_fill_values", gglikert(df, exclude_fill_values = "Neither agree nor disagree") ) vdiffr::expect_doppelganger( "gglikert() add_labels", gglikert(df, add_labels = FALSE) ) vdiffr::expect_doppelganger( "gglikert() customize labels", gglikert(df, labels_size = 5, labels_hide_below = .3, labels_accuracy = .1) ) vdiffr::expect_doppelganger( "gglikert() add_totals", gglikert(df, add_totals = FALSE) ) vdiffr::expect_doppelganger( "gglikert() customize totals", gglikert( df, totals_size = 5, totals_fontface = "italic", totals_include_center = TRUE, totals_hjust = 0 ) ) vdiffr::expect_doppelganger( "gglikert() colors", gglikert(df, labels_color = "red", totals_color = "blue") ) vdiffr::expect_doppelganger( "gglikert() reverse", gglikert(df, y_reverse = TRUE, reverse_likert = TRUE) ) vdiffr::expect_doppelganger( "gglikert() variable labels and y_label_wrap", df %>% labelled::set_variable_labels( q1 = "first question", q2 = "second question", q3 = "third question with a very very very veru very very long label" ) %>% gglikert( variable_labels = c( q2 = "question 2", q4 = "another question with a long long long long long long label" ), y_label_wrap = 20 ) ) vdiffr::expect_doppelganger( "gglikert_stacked()", gglikert_stacked(df) ) vdiffr::expect_doppelganger( "gglikert_stacked() add_median_line", gglikert_stacked(df, add_median_line = TRUE) ) vdiffr::expect_doppelganger( "gglikert_stacked() labels_color red", gglikert_stacked(df, labels_color = "red") ) vdiffr::expect_doppelganger( "gglikert_stacked() labels_color auto", gglikert_stacked(df, labels_color = "auto") ) vdiffr::expect_doppelganger( "gglikert_stacked() labels_color black", gglikert_stacked(df, labels_color = "black") ) df_group <- df df_group$group1 <- sample(c("A", "B"), 150, replace = TRUE) df_group$group2 <- sample(c("a", "b", "c"), 150, replace = TRUE) vdiffr::expect_doppelganger( "gglikert() facet_cols", gglikert(df_group, q1:q6, facet_cols = vars(group1)) ) vdiffr::expect_doppelganger( "gglikert() facet_rows", gglikert(df_group, q1:q2, facet_rows = vars(group1, group2)) ) vdiffr::expect_doppelganger( "gglikert() facet_rows and facet_cols", gglikert( df_group, q3:q6, facet_cols = vars(group1), facet_rows = vars(group2) ) ) vdiffr::expect_doppelganger( "gglikert() facet_rows with group on y", gglikert(df_group, q1:q6, y = "group1", facet_rows = vars(.question)) ) f <- function(d) { d$.question <- forcats::fct_relevel(d$.question, "q5", "q2") d } vdiffr::expect_doppelganger( "gglikert() with data_fun", gglikert(df_group, q1:q6, data_fun = f) ) expect_error(gglikert(df_group, data_fun = "text")) }) test_that("hex_bw()", { expect_equal(hex_bw("#FFFFFF"), "#000000") expect_equal(hex_bw("#BBBBBB"), "#000000") expect_equal(hex_bw("#000000"), "#ffffff") expect_equal(hex_bw("#444444"), "#ffffff") })