if (suppressWarnings( require("testthat") && require("sjlabelled") && require("haven") && require("sjPlot") )) { # glm, logistic regression ---- data(efc) efc$gewicht <- rnorm(nrow(efc), 1, .2) test_that("plot_grpfrq", { p <- plot_grpfrq(efc$e17age, efc$e16sex) p <- plot_grpfrq(efc$e17age, efc$e16sex, type = "dot") p <- plot_grpfrq(efc$e17age, efc$e16sex, type = "line") p <- plot_grpfrq(efc$e17age, efc$e16sex, type = "boxplot") p <- plot_grpfrq(efc$e17age, efc$e16sex, type = "violin") p <- plot_grpfrq(efc$e17age, efc$e16sex, bar.pos = "stack") p <- plot_grpfrq(efc$e17age, efc$e16sex, type = "boxplot", intr.var = efc$c172code) p <- plot_grpfrq(efc$e17age, efc$e16sex, type = "violin", intr.var = efc$c172code) p <- plot_grpfrq(efc$e17age, efc$e16sex, show.values = FALSE) p <- plot_grpfrq(efc$e17age, efc$e16sex, show.values = FALSE, show.n = TRUE) p <- plot_grpfrq(efc$e17age, efc$e16sex, show.values = TRUE, show.n = TRUE) p <- plot_grpfrq(efc$e17age, efc$e16sex, type = "dot", show.values = TRUE, show.n = TRUE) p <- plot_grpfrq(efc$e17age, efc$e16sex, show.values = TRUE, show.n = TRUE, show.prc = TRUE) p <- plot_grpfrq(efc$e17age, efc$e16sex, type = "dot", show.values = TRUE, show.n = TRUE, show.prc = TRUE) p <- plot_grpfrq(efc$e17age, efc$e16sex, show.grpcnt = TRUE) expect_message(p <- plot_grpfrq(efc$e17age, efc$e16sex, type = "boxplot", show.grpcnt = TRUE)) expect_message(p <- plot_grpfrq(efc$e17age, efc$e16sex, type = "boxplot", intr.var = efc$c172code, show.grpcnt = TRUE)) p <- plot_grpfrq(efc$e42dep, efc$e16sex, type = "bar", show.grpcnt = TRUE) p <- plot_grpfrq(efc$e17age, efc$e16sex, type = "dot") p <- plot_grpfrq(efc$e17age, efc$e16sex, type = "dot", show.ci = T) p <- plot_grpfrq(efc$e17age, efc$e16sex, type = "line", show.ci = T) p <- plot_grpfrq(efc$e17age, efc$e16sex, type = "boxplot", show.ci = T) p <- plot_grpfrq(efc$e17age, efc$e16sex, type = "violin", show.ci = T) p <- plot_grpfrq(efc$e42dep, efc$e16sex, weight.by = efc$gewicht) p <- plot_grpfrq(efc$e42dep, efc$e16sex, type = "dot", weight.by = efc$gewicht) p <- plot_grpfrq(efc$e42dep, efc$e16sex, type = "line", weight.by = efc$gewicht) p <- plot_grpfrq(efc$e42dep, efc$e16sex, type = "boxplot", weight.by = efc$gewicht) p <- plot_grpfrq(efc$e42dep, efc$e16sex, type = "violin", weight.by = efc$gewicht) p <- plot_grpfrq(efc$e42dep, efc$e16sex, legend.title = "Geschlecht", legend.labels = c("M", "W"), axis.titles = "Dependency", axis.labels = c("gar nicht", "leicht", "mittel", "schwer")) p <- plot_grpfrq(efc$e42dep, efc$e16sex, type = "dot", legend.title = "Geschlecht", legend.labels = c("M", "W"), axis.titles = "Dependency", axis.labels = c("gar nicht", "leicht", "mittel", "schwer")) p <- plot_grpfrq(efc$e42dep, efc$e16sex, type = "line", legend.title = "Geschlecht", legend.labels = c("M", "W"), axis.titles = "Dependency", axis.labels = c("gar nicht", "leicht", "mittel", "schwer")) p <- plot_grpfrq(efc$e42dep, efc$e16sex, type = "boxplot", legend.title = "Geschlecht", legend.labels = c("M", "W"), axis.titles = "Dependency", axis.labels = c("A", "B")) p <- plot_grpfrq(efc$e17age, efc$e16sex, type = "violin", legend.title = "Geschlecht", legend.labels = c("M", "W"), axis.titles = "Dependency", axis.labels = c("A", "B")) }) }