Nothing
#
# Test plot features
#
library(testthat)
library(volker)
# Load the sample data
data <- volker::chatgpt
# Only run plot tests if explicitly configured
# because they will fail on different machines due
# to different rendering engines and fonts.
# To enable, call oonce on your machine:
#
# Sys.setenv("R_LOCALTESTS" = "1")
#
# To disable, call:
#
# Sys.unsetenv("R_LOCALTESTS")
#
if (Sys.getenv("R_LOCALTESTS") == "1") {
test_that("boxplot", {
library(ggplot2)
p <- plot_metrics(data, sd_age, box = T)
# Save the plot to a temporary file
plot_file <- tempfile(fileext = ".png")
ggsave(plot_file, plot = p)
# Capture the plot as a snapshot
expect_snapshot_file(plot_file, "plot_metrics_box.png")
})
test_that("applying boxplot to metric plot", {
library(ggplot2)
p <- plot_metrics(data, sd_age, ci = TRUE)
# Save the plot to a temporary file
plot_file <- tempfile(fileext = ".png")
ggsave(plot_file, plot = p)
# Capture the plot as a snapshot
expect_snapshot_file(plot_file, "plot_metrics_ci.png")
})
test_that("applying boxplot to categorical plot", {
library(ggplot2)
p <- plot_counts(data, sd_gender, ci = TRUE)
# Save the plot to a temporary file
plot_file <- tempfile(fileext = ".png")
ggsave(plot_file, plot = p)
# Capture the plot as a snapshot
expect_snapshot_file(plot_file, "plot_counts_ci.png")
})
}
test_that("Empty plots are empty", {
test_data <- tibble(var1=c(NA))
plot_counts(test_data, var1) |>
expect_error("Check your data: Are they empty?")
})
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