context("test-dimred-pca")
test_that("APA_PCA works", {
population.model <- '
Fachinteresse =~ F1+F2+F3+F4+F5
Soziale.Einbindung =~ S1+S2+S3+S4
Relevanz.Inhalte=~ R1+R2+R3+R4
Kompetenzerleben =~ K1+K2+K3+K4
Autonomieerleben=~ A1+A2+A3+A4+A5+A6
Motivierungsqualitaet=~ M1+M2+M3+M4
'
set.seed(1234)
DF <- lavaan::simulateData(population.model, sample.nobs = 60)
x <- APA_PCA(
DF,
6,
cut = .35,
include.test = FALSE,
include.plot = FALSE,
include.kmo = FALSE,
output = FALSE
)
expect_equal(x$Loadings$h2[1:5],
c("0.80", "0.66", "0.65", "0.59", "0.61"))
})
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