# Unit Test - gpttools test_that("ci_plot produces a valid plot, OLR", { data(talos) talos[, "mrs_1"] <- factor(talos[, "mrs_1"], ordered = TRUE) testthat::expect_true(inherits(ci_plot( ds = talos, x = "rtreat", y = "mrs_1", vars = c("hypertension", "diabetes") ), "ggplot")) }) test_that("ci_plot produces a valid plot", { data(talos) talos[, "mrs_1"] <- factor(ifelse(talos[, "mrs_1"] %in% c("0", "1"), 1, 2)) testthat::expect_true(inherits(ci_plot( ds = talos, x = "rtreat", y = "mrs_1", vars = c("hypertension", "diabetes") ), "ggplot")) }) test_that("ci_plot gives error if outcome is not factor", { data(talos) testthat::expect_error(ci_plot( ds = talos, x = "rtreat", y = "mrs_1", vars = c("hypertension", "diabetes") )) }) test_that("ci_plot produces a valid plot", { data(talos) talos[, "mrs_1"] <- factor(ifelse(talos[, "mrs_1"] %in% c("0", "1"), 1, 2)) testthat::expect_true(inherits( ci_plot( ds = talos, x = "rtreat", y = "mrs_1", vars = c("hypertension", "diabetes"), lbls = c("Intercept", "Placebo", "Hypertension", "Diabetes") ), "ggplot" )) }) test_that("ci_plot produces a valid plot with method='model'", { iris$ord<-factor(sample(1:3,size=nrow(iris),replace=TRUE),ordered=TRUE) lm <- MASS::polr(ord~., data=iris, Hess=TRUE, method="logistic") expect_true(inherits( ci_plot( ds = lm, method = "model" ), "ggplot" )) }) test_that("ci_plot throws error on method", { data(talos) talos[, "mrs_1"] <- factor(talos[, "mrs_1"], ordered = TRUE) testthat::expect_error(ci_plot( ds = talos, x = "rtreat", y = "mrs_1", vars = c("hypertension", "diabetes"),method = "model" )) }) test_that("ci_plot throws error on wrong method", { data(talos) talos[, "mrs_1"] <- factor(talos[, "mrs_1"], ordered = TRUE) testthat::expect_error(ci_plot( ds = talos, x = "rtreat", y = "mrs_1", vars = c("hypertension", "diabetes"),method = "wrong" )) })