Nothing
test_that("ges_partial_ss_mix returns correctly structured list", {
res <- ges_partial_ss_mix(
dfm = 1,
dfe = 156,
ssm = 71.07608,
sss = 30936.498,
sse = 8657.094,
f_value = 1.280784,
a = 0.05
)
expect_type(res, "list")
# Legacy names
expect_true(all(c(
"ges",
"geslow",
"geshigh",
"dfm",
"dfe",
"F",
"p",
"estimate",
"statistic"
) %in% names(res)))
# Snake_case aliases
expect_true(all(c(
"ges_value",
"ges_lower_limit",
"ges_upper_limit",
"df_model",
"df_error",
"f_value",
"p_value"
) %in% names(res)))
})
test_that("ges_partial_ss_mix matches known example values", {
res <- ges_partial_ss_mix(
dfm = 1,
dfe = 156,
ssm = 71.07608,
sss = 30936.498,
sse = 8657.094,
f_value = 1.280784,
a = 0.05
)
# Known generalized eta-squared and CI from example
expect_equal(res$ges, 0.001791924, tolerance = 1e-6)
expect_equal(res$geslow, 0.000000000, tolerance = 1e-6)
expect_equal(res$geshigh, 0.03792664, tolerance = 1e-6)
# Aliases should match legacy values
expect_equal(res$ges_value, res$ges)
expect_equal(res$ges_lower_limit, res$geslow)
expect_equal(res$ges_upper_limit, res$geshigh)
# df aliases
expect_equal(res$df_model, res$dfm)
expect_equal(res$df_error, res$dfe)
# F and p consistency
expect_equal(res$F, res$f_value)
expect_equal(res$p, res$p_value)
expect_true(res$p >= 0 && res$p <= 1)
})
test_that("ges_partial_ss_mix APA-style strings are correctly formatted", {
res <- ges_partial_ss_mix(
dfm = 1,
dfe = 156,
ssm = 71.07608,
sss = 30936.498,
sse = 8657.094,
f_value = 1.280784,
a = 0.05
)
expect_type(res$estimate, "character")
expect_true(grepl("eta", res$estimate, ignore.case = TRUE))
expect_true(grepl("CI", res$estimate))
expect_type(res$statistic, "character")
expect_true(grepl("F", res$statistic))
})
test_that("dotted wrapper ges.partial.SS.mix matches ges_partial_ss_mix", {
res1 <- ges_partial_ss_mix(
dfm = 1,
dfe = 156,
ssm = 71.07608,
sss = 30936.498,
sse = 8657.094,
f_value = 1.280784,
a = 0.05
)
res2 <- ges.partial.SS.mix(
dfm = 1,
dfe = 156,
ssm = 71.07608,
sss = 30936.498,
sse = 8657.094,
Fvalue = 1.280784,
a = 0.05
)
expect_equal(res1$geslow, res2$geslow)
})
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