context("additional tests for epi_clean_cond_date and epi_plot_cow_save")
library(episcout)
library(testthat)
# epi_clean_cond_date ------------------------------------------------------
skip_if_not_installed("lubridate")
# Test identification of Date and POSIXct columns
test_that("epi_clean_cond_date identifies date-like objects", {
date_vec <- as.Date("2020-01-01") + 0:2
posix_vec <- as.POSIXct(date_vec)
num_vec <- 1:3
expect_true(epi_clean_cond_date(date_vec))
expect_true(epi_clean_cond_date(posix_vec))
expect_false(epi_clean_cond_date(num_vec))
})
# epi_plot_cow_save --------------------------------------------------------
skip_if_not_installed("cowplot")
skip_if_not_installed("ggplot2")
# Test saving single plot and grid of plots
test_that("epi_plot_cow_save handles ggplot and grid inputs", {
tmp_single <- tempfile(fileext = ".pdf")
tmp_multi <- tempfile(fileext = ".pdf")
p <- ggplot2::ggplot(mtcars, ggplot2::aes(mpg, wt)) +
ggplot2::geom_point()
expect_message(
epi_plot_cow_save(file_name = tmp_single, plot_grid = p),
"Saving a single ggplot object"
)
expect_true(file.exists(tmp_single))
plot_list <- list(p, p)
expect_message(
epi_plot_cow_save(file_name = tmp_multi, plot_grid = plot_list),
"Saving a multi-plot grid"
)
expect_true(file.exists(tmp_multi))
unlink(c(tmp_single, tmp_multi))
})
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