Nothing
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")
})
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