Nothing
test_that("v_chi_sq returns correctly structured list", {
res <- v_chi_sq(
x2 = 2.0496,
n = 60,
r = 3,
c = 3,
a = 0.05
)
expect_type(res, "list")
# Legacy names
expect_true(all(c(
"v",
"vlow",
"vhigh",
"n",
"df",
"x2",
"p",
"estimate",
"statistic"
) %in% names(res)))
# Snake_case aliases
expect_true(all(c(
"v_value",
"v_lower_limit",
"v_upper_limit",
"sample_size",
"df_total",
"df_small",
"chi_square",
"p_value"
) %in% names(res)))
})
test_that("v_chi_sq matches known example values", {
res <- v_chi_sq(
x2 = 2.0496,
n = 60,
r = 3,
c = 3,
a = 0.05
)
# Known V and CI from example
expect_equal(res$v, 0.1306905, tolerance = 1e-6)
expect_equal(res$vlow, 0.1825742, tolerance = 1e-6)
expect_equal(res$vhigh, 0.2980689, tolerance = 1e-6)
# Aliases should match legacy values
expect_equal(res$v_value, res$v)
expect_equal(res$v_lower_limit, res$vlow)
expect_equal(res$v_upper_limit, res$vhigh)
# Sample size and df aliases
expect_equal(res$sample_size, res$n)
expect_equal(res$df_total, res$df)
# Chi-square and p-value consistency
expect_equal(res$chi_square, res$x2)
expect_equal(res$p_value, res$p)
expect_true(res$p >= 0 && res$p <= 1)
})
test_that("v_chi_sq APA-style strings are correctly formatted", {
res <- v_chi_sq(
x2 = 2.0496,
n = 60,
r = 3,
c = 3,
a = 0.05
)
expect_type(res$estimate, "character")
expect_true(grepl("V", res$estimate))
expect_true(grepl("CI", res$estimate))
expect_type(res$statistic, "character")
expect_true(grepl("chi", tolower(res$statistic)))
})
test_that("dotted wrapper v.chi.sq matches v_chi_sq", {
res1 <- v_chi_sq(
x2 = 2.0496,
n = 60,
r = 3,
c = 3,
a = 0.05
)
res2 <- v.chi.sq(
x2 = 2.0496,
n = 60,
r = 3,
c = 3,
a = 0.05
)
expect_equal(res1$vlow, res2$vlow)
})
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