Nothing
context("test-tidyselect-deprecations")
# Guards against reintroducing tidyselect deprecation warnings
# (".data in tidyselect", "external vector in selections", all_of() misuse).
# See the package-wide cleanup referenced in NEWS (#202).
#
# NOTE: tidyselect/lifecycle suppress these deprecation signals for usage that
# originates *inside* a loaded package namespace, so in an ordinary local run
# this test passes whether or not the deprecated patterns are present. Its real
# teeth are under R-devel / `R CMD check` conditions (where #202 surfaced) and
# alongside the suite-wide "WARN 0" expectation. Kept as a CI-oriented guard.
# capture any tidyselect deprecation emitted while evaluating `expr`
tidyselect_deprecations <- function(expr) {
rlang::local_options(lifecycle_verbosity = "warning")
deps <- character(0)
withCallingHandlers(
force(expr),
warning = function(w) {
m <- conditionMessage(w)
if (grepl("external vector|Use of .data in tidyselect|all_of\\(\\) outside", m)) {
deps[[length(deps) + 1]] <<- m
}
invokeRestart("muffleWarning")
}
)
deps
}
test_that("core test functions emit no tidyselect deprecation (#202)", {
# wilcox_effsize() below reaches coin, which stops when it is not installed.
skip_if_not_installed("coin")
df <- ToothGrowth
df$dose <- factor(df$dose)
deps <- tidyselect_deprecations({
df %>% anova_test(len ~ dose)
df %>% anova_test(len ~ supp * dose)
df %>% cohens_d(len ~ supp)
df %>% wilcox_effsize(len ~ dose)
df %>% dunn_test(len ~ dose)
df %>% games_howell_test(len ~ dose)
df %>% get_summary_stats(len)
df %>% get_summary_stats(len, type = "mean_sd")
df %>% levene_test(len ~ dose)
df %>% shapiro_test(len)
aov(len ~ dose, data = df) %>% tukey_hsd()
df %>% freq_table(supp)
binom_test(c(10, 90))
chisq_test(as.table(rbind(c(10, 20, 30), c(15, 25, 20))))
invisible(NULL)
})
expect_equal(deps, character(0))
})
test_that("p-value formatting and label helpers emit no tidyselect deprecation (#202)", {
df <- ToothGrowth
df$dose <- factor(df$dose)
st <- df %>% t_test(len ~ dose)
deps <- tidyselect_deprecations({
st %>% p_round(digits = 2)
st %>% p_format()
st %>% p_format(new.col = TRUE)
st %>% p_mark_significant()
get_test_label(df %>% anova_test(len ~ dose), detailed = TRUE, type = "text")
rm <- data.frame(id = factor(rep(1:5, 3)),
time = factor(rep(c("t1", "t2", "t3"), each = 5)),
score = stats::rnorm(15))
get_test_label(anova_test(rm, dv = score, wid = id, within = time),
detailed = TRUE, type = "text")
st %>% add_xy_position(x = "dose")
convert_as_factor(df, supp, dose)
invisible(NULL)
})
expect_equal(deps, character(0))
})
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