test_that("standardize_names works as expected with parameters", {
skip_if_not_installed("parameters")
set.seed(123)
# lm object
lm_mod <- lm(wt ~ mpg, mtcars)
x <- as.data.frame(parameters::model_parameters(lm_mod))
expect_named(standardize_names(x, style = "broom"), c(
"term", "estimate", "std.error", "conf.level", "conf.low", "conf.high",
"statistic", "df.error", "p.value"
))
expect_named(standardize_names(x, style = "easystats"), c(
"Parameter", "Coefficient", "SE", "CI", "CI_low", "CI_high",
"Statistic", "df", "p"
))
# aov object
aov_mod <- aov(wt ~ mpg, mtcars)
y <- as.data.frame(parameters::model_parameters(aov_mod))
expect_named(standardize_names(y, style = "broom"), c("term", "sumsq", "df", "meansq", "statistic", "p.value"))
# t-test (this is yet to be finalized)
z <- as.data.frame(parameters::model_parameters(t.test(1:10, y = c(7:20))))
expect_named(standardize_names(z, style = "broom"), c(
"parameter1", "parameter2", "mean.parameter1", "mean.parameter2", "estimate",
"conf.level", "conf.low", "conf.high", "statistic", "df.error", "p.value",
"method", "alternative"
))
# chi-square test
chi <- as.data.frame(parameters::model_parameters(chisq.test(matrix(c(12, 5, 7, 7), ncol = 2))))
expect_named(standardize_names(chi, style = "broom"), c("statistic", "df", "p.value", "method"))
})
test_that("standardize_names works as expected with performance", {
skip_if_not_installed("performance")
set.seed(123)
# lm object
lm_mod <- lm(wt ~ mpg, mtcars)
x <- as.data.frame(performance::model_performance(
lm_mod,
metrics = c("AIC", "BIC", "R2", "R2_adj", "RMSE", "SIGMA")
))
expect_named(standardize_names(x, style = "broom"), c("aic", "bic", "r.squared", "adj.r.squared", "rmse", "sigma"))
})
test_that("standardize_names works as expected with datawizard", {
skip_if_not_installed("datawizard")
set.seed(123)
x <- datawizard::describe_distribution(rnorm(50))
expect_named(standardize_names(x, style = "broom"), c(
"estimate", "std.dev", "iqr", "min", "max", "skewness", "kurtosis",
"n.obs", "missing.obs"
))
})
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