Nothing
# basic usage --------------------------------------------------
test_that("pairwise_contingency_table works - basic", {
set.seed(123)
df1 <- pairwise_contingency_table(
data = mtcars,
x = cyl,
y = am,
p.adjust.method = "bonferroni"
)
expect_snapshot(select(df1, -expression))
expect_snapshot(df1[["expression"]])
# correct number of pairs (3 levels -> 3 pairs)
expect_shape(df1, nrow = 3L)
# both raw and adjusted p-values present
expect_true(all(c("p.value", "p.value.adj") %in% names(df1)))
# adjusted should be >= raw
expect_true(all(df1$p.value.adj >= df1$p.value))
})
# counts data --------------------------------------------------
test_that("pairwise_contingency_table works - with counts", {
set.seed(123)
df1 <- pairwise_contingency_table(
data = as.data.frame(Titanic),
x = Class,
y = Survived,
counts = Freq,
p.adjust.method = "fdr"
)
expect_snapshot(select(df1, -expression))
expect_snapshot(df1[["expression"]])
# 4 levels -> C(4,2) = 6 pairs
expect_shape(df1, nrow = 6L)
})
# no adjustment --------------------------------------------------
test_that("pairwise_contingency_table works - no adjustment", {
set.seed(123)
df1 <- pairwise_contingency_table(
data = mtcars,
x = cyl,
y = am,
p.adjust.method = "none"
)
expect_snapshot(select(df1, -expression))
expect_snapshot(df1[["expression"]])
# with no adjustment, raw and adjusted should be equal
expect_identical(df1$p.value, df1$p.value.adj)
})
# data with NAs --------------------------------------------------
test_that("pairwise_contingency_table works - data with NAs", {
set.seed(123)
df1 <- pairwise_contingency_table(
data = msleep,
x = vore,
y = conservation,
p.adjust.method = "holm"
)
expect_snapshot(select(df1, -expression))
expect_snapshot(df1[["expression"]])
})
# custom conf.level and alternative --------------------------------------------------
test_that("pairwise_contingency_table works - custom conf.level and alternative", {
set.seed(123)
df1 <- pairwise_contingency_table(
data = mtcars,
x = cyl,
y = am,
conf.level = 0.90,
alternative = "greater",
p.adjust.method = "holm"
)
expect_snapshot(select(df1, -expression))
expect_snapshot(df1[["expression"]])
})
# custom digits --------------------------------------------------
test_that("pairwise_contingency_table works - custom digits", {
set.seed(123)
df1 <- pairwise_contingency_table(
data = mtcars,
x = cyl,
y = am,
digits = 4L,
p.adjust.method = "BH"
)
expect_snapshot(select(df1, -expression))
expect_snapshot(df1[["expression"]])
})
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