Nothing
test_that("test surr_rsq", {
# library(SurrogateRsq)
library(MASS)
library(dplyr)
# Read the csv file of the white wine data
data("WhiteWine")
WhiteWine <- WhiteWine %>% mutate(quality = as.ordered(quality))
y <- "quality"
# Find all covariates
x_names <- colnames(WhiteWine)[!(colnames(WhiteWine) %in% y)]
full_formula <- as.formula(paste(y, paste(x_names, collapse = " + "), sep = " ~ "))
full_mod <- polr(formula = full_formula,
data = WhiteWine,
method = "probit")
allsig_formula <- update(full_formula, ~ . - citric.acid - chlorides - total.sulfur.dioxide)
allsig_mod <- polr(formula = allsig_formula,
data = WhiteWine,
method = "probit")
sur2 <- surr_rsq(model = allsig_mod,
full_model = full_mod,
# data = WhiteWine,
avg.num = 100)
expect_type(sur2, "list")
expect_lt(object = sur2$surr_rsq, expected = 0.33)
})
test_that("test surr_rsq which==Surrogate for plor", {
library(dplyr)
data("RedWine")
full_formula <- as.formula(quality ~ fixed.acidity + volatile.acidity +
citric.acid+ residual.sugar + chlorides + free.sulfur.dioxide +
total.sulfur.dioxide + density + pH + sulphates + alcohol)
full_mod <- polr(formula = full_formula,
data=RedWine, method = "probit")
select_model <- update(full_mod, formula. = ". ~ . - fixed.acidity -
citric.acid - residual.sugar - density")
# all.equal(select_model$model, (full_mod$model[,names(select_model$model)]),
# check.attributes = FALSE)
surr_obj_sele_mod <- surr_rsq(model = select_model,
full_model = full_mod,
avg.num = 30)
expect_type(surr_obj_sele_mod, "list")
})
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