Nothing
data <- endosulfan
fits <- get_fits(data, list("lnorm", "llogis"), FALSE)
bts <- get_bootstrap(fits)[[1]]
data_cens <- salinity_family
fits_cens <- get_fits(data_cens, list("lnorm"), TRUE)
bts_cens <- get_bootstrap(fits_cens)[[1]]
test_that("Confidence intervals are added to plots", {
ci_plot_utils <- my_CIcdfplot(bts[[1]], FALSE, CI.level = 0.95)
ci_plot_utils_cens <- my_CIcdfplot(bts_cens[[1]], FALSE, CI.level = 0.95)
expect_s3_class(ci_plot_utils, "ggplot")
expect_s3_class(ci_plot_utils_cens, "ggplot")
# check truthfulness of documentation's note
expect_length(ci_plot_utils$layers, 8)
expect_length(ci_plot_utils_cens$layers, 7)
plot <- base_cdf(fits, "unit", TRUE)
plot_ci <- add_CI_plot(plot, bts, TRUE)
plot_cens <- base_cdf(fits_cens, "unit", TRUE)
plot_cens_ci <- add_CI_plot(plot_cens, bts_cens, TRUE)
# Add 3 layers per bootstrap object
expect_length(plot_ci$layers, length(plot$layers) + 6)
expect_length(plot_cens_ci$layers, length(plot_cens$layers) + 3)
# base information of the plot is the same (partial)
expect_identical(plot_ci$data, plot$data)
expect_identical(plot_cens_ci$data, plot_cens$data)
})
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