Nothing
suppressWarnings(library(lavaan))
latent <- list(
visual = paste0("x", 1:3),
textual = paste0("x", 4:6),
speed = paste0("x", 7:9)
)
mediation <- list(
speed = "visual",
textual = "visual",
visual = c("ageyr", "grade")
)
indirect <- list(
IV = c("ageyr", "grade"),
M = "visual",
DV = c("speed", "textual")
)
HS.model <- write_lavaan(mediation,
indirect = indirect,
latent = latent, label = TRUE
)
fit <- sem(HS.model, data = HolzingerSwineford1939)
# ____________________________________________________________________________
# Tests ####
test_that("nice_fit regular", {
expect_snapshot(
lavaan_defined(fit)
)
})
test_that("nice_fit as nice_table", {
skip_on_os("linux")
skip_if_not_installed("rempsyc")
expect_snapshot(
lavaan_defined(fit, nice_table = TRUE)
)
})
test_that("nice_fit total effects", {
set.seed(1234)
X <- rnorm(100)
M <- 0.5*X + rnorm(100)
Y <- 0.7*M + rnorm(100)
Data <- data.frame(X = X, Y = Y, M = M)
mediation <- list(
Y = "c*X",
M = "a*X",
Y = "b*M"
)
indirect <- list(
ab = "a*b",
total = "c + (a*b)"
)
model <- write_lavaan(mediation = mediation, indirect = indirect)
fit <- sem(model, data = Data)
expect_snapshot(
lavaan_defined(fit)
)
})
test_that("nice_fit multiple symbols, lhs, rhs", {
latent <- list(visual = paste0("x", 1:3), textual = paste0("x", 4:6), speed = paste0("x", 7:9))
mediation <- list(speed = "visual", textual = "visual", visual = c("ageyr", "grade"))
indirect <- list(IV = c("ageyr", "grade"), M = "visual", DV = c("speed", "textual"))
HS.model <- write_lavaan(mediation, indirect = indirect, latent = latent, label = TRUE)
fit <- sem(HS.model, data = HolzingerSwineford1939)
expect_snapshot(
lavaan_defined(fit,
underscores_to_symbol = c("*", "+", "|", "~"),
lhs_name = "Special Parameters",
rhs_name = "Some paths"
)
)
})
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