Nothing
context("statStrT")
test_that("statStrT", {
set.seed(1)
dat <- createDF(nVP = 20, nTrl = 1,
design = list("Comp" = c("comp", "incomp")))
dat <- addDataDF(dat, RT = list("Comp comp" = c(500, 150, 100),
"Comp incomp" = c(550, 150, 100)))
dat$VP <- as.factor(dat$VP)
# base R aov
aovRT <- aov(RT ~ Comp + Error(VP/(Comp)), dat)
testthat::expect_error(fValueString(aovRT, "Comp"))
aovRT <- aovTable(aovRT)
effectString <- effectsizeValueString(aovRT, effect = "Comp")
testthat::expect_equal(effectString, "$\\eta_{p}^2$ = 0.05")
aovRT <- aov(RT ~ Comp + Error(VP/(Comp)), dat)
aovRT <- aovTable(aovRT, effectSize = "ges")
effectString <- effectsizeValueString(aovRT, effect = "Comp", effectSize = "ges")
testthat::expect_equal(effectString, "$\\eta_{G}^2$ = 0.05")
# ezANOVA
aovRT <- ezANOVA(dat, dv = .(RT), wid = .(VP), within = .(Comp),
return_aov = TRUE, detailed = TRUE)
aovRT <- aovTable(aovRT)
effectString <- effectsizeValueString(aovRT, effect = "Comp")
testthat::expect_equal(effectString, "$\\eta_{p}^2$ = 0.05")
effectString <- effectsizeValueString(aovRT, effect = "Comp", )
testthat::expect_equal(effectString, "$\\eta_{p}^2$ = 0.05")
# unknown effect size raises error
testthat::expect_error(effectsizeValueString(aovRT, effect = "Comp", effectSize = "zzz"))
})
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