Nothing
context("SEMinR correctly computes metrics")
mobi_mm <- constructs(
reflective("Image", multi_items("IMAG", 1:5)),
reflective("Expectation", multi_items("CUEX", 1:3)),
reflective("Value", multi_items("PERV", 1:2))
)
mobi_cfa <- estimate_cfa(mobi, mobi_mm)
scores <- mobi_cfa$construct_scores
cfa_summary <- summary(mobi_cfa)
cors <- cfa_summary$descriptives$correlations$constructs
# cor_vifs
test_that("Computes cor_vifs correctly\n", {
lm_vif <- function(data, model) {
1/(1-summary(lm(model, as.data.frame(data)))$r.squared)
}
img <- lm_vif(scores, Image ~ Expectation + Value)
exp <- lm_vif(scores, Expectation ~ Image + Value)
val <- lm_vif(scores, Value ~ Image + Expectation)
cvifs <- cor_vifs(cors, c("Image", "Expectation", "Value"))
expect_equal(c(Image=img, Expectation=exp, Value=val), cvifs,
tolerance = 0.00001)
})
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