Nothing
suppressWarnings(library(lavaan))
.old_wd <- setwd(tempdir())
(latent <- list(
visual = paste0("x", 1:3),
textual = paste0("x", 4:6),
speed = paste0("x", 7:9)
))
model <- write_lavaan(latent = latent)
data <- HolzingerSwineford1939
estimator <- "MLR"
fit2 <- cfa(model, data, estimator = estimator)
(latent2 <- list(
visual = paste0("x", 2:3),
textual = paste0("x", 4:6),
speed = paste0("x", 7:9)
))
# ____________________________________________________________________________
# Tests ####
test_that("cfa_fit_plot comparison to cfa", {
skip_if_not_installed("lavaanPlot")
skip_if_not_installed("DiagrammeRsvg")
fit1 <- cfa_fit_plot(model, data)
expect_equal(
summary(fit1),
summary(fit2)
)
})
test_that("cfa_fit_plot save as PDF", {
skip_on_cran()
skip_if_not_installed("lavaanPlot")
skip_if_not_installed("DiagrammeRsvg")
fit3 <- cfa_fit_plot(model, data, save.as.pdf = TRUE, file.name = "cfaplot")
expect_equal(
summary(fit3),
summary(fit2)
)
})
model <- write_lavaan(latent = latent2)
fit5 <- cfa(model, data, estimator = estimator)
test_that("cfa_fit_plot remove items", {
skip_if_not_installed("lavaanPlot")
skip_if_not_installed("DiagrammeRsvg")
fit4 <- cfa_fit_plot(model, data, print = FALSE, remove.items = c("x1"))
expect_equal(
summary(fit4),
summary(fit5)
)
})
test_that("cfa_fit_plot save as PDF error", {
expect_error(
cfa_fit_plot(model, data, save.as.pdf = TRUE)
)
})
setwd(.old_wd)
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