skip_on_os(c("mac", "solaris", "linux")) skip_if_not_installed("ggplot2") skip_if_not_installed("see") skip_if_not_installed("vdiffr") skip_if_not_installed("emmeans") skip_if_not_installed("marginaleffects") skip_if_not_installed("ggeffects") skip_on_cran() test_that("plots facets", { data(efc, package = "ggeffects") # make categorical efc <- datawizard::to_factor(efc, c("c161sex", "c172code", "e16sex")) fit <- lm(neg_c_7 ~ c12hour * barthtot * c161sex * c172code, data = efc) pr <- estimate_means(fit, c("c12hour", "c172code", "c161sex")) set.seed(123) vdiffr::expect_doppelganger( "plot-interaction-facets-1", plot(pr, show_data = FALSE) ) pr <- estimate_means(fit, c("c12hour", "c172code", "barthtot")) set.seed(123) vdiffr::expect_doppelganger( "plot-interaction-facets-2", plot(pr, show_data = FALSE) ) pr <- estimate_means(fit, c("c12hour", "c172code", "c161sex", "barthtot")) set.seed(123) vdiffr::expect_doppelganger( "plot-interaction-facets-3", plot(pr, show_data = FALSE) ) pr <- estimate_means(fit, c("c12hour", "c172code", "barthtot", "c161sex")) set.seed(123) vdiffr::expect_doppelganger( "plot-interaction-facets-4", plot(pr, show_data = FALSE) ) pr <- estimate_means(fit, c("c12hour", "barthtot", "c161sex", "c172code")) set.seed(123) vdiffr::expect_doppelganger( "plot-interaction-facets-5", plot(pr, show_data = FALSE) ) fit <- lm(neg_c_7 ~ c12hour * barthtot * c161sex * c172code * e16sex, data = efc) set.seed(123) pr <- estimate_means(fit, c("c12hour", "barthtot", "c161sex", "c172code", "e16sex")) vdiffr::expect_doppelganger( "plot-interaction-facets-6", plot(pr, show_data = FALSE) ) pr <- estimate_means(fit, c("c12hour", "c161sex", "c172code", "e16sex", "barthtot")) set.seed(123) vdiffr::expect_doppelganger( "plot-interaction-facets-7", plot(pr, show_data = FALSE) ) pr <- estimate_means(fit, c("c12hour", "c172code", "c161sex", "barthtot")) set.seed(123) vdiffr::expect_doppelganger( "plot-interaction-facets-8", plot(pr, show_data = FALSE) ) pr <- estimate_means(fit, c("c12hour", "c172code", "barthtot", "c161sex")) set.seed(123) vdiffr::expect_doppelganger( "plot-interaction-facets-9", plot(pr, show_data = FALSE) ) pr <- estimate_means(fit, c("c12hour", "e16sex", "c161sex", "c172code")) set.seed(123) vdiffr::expect_doppelganger( "plot-interaction-facets-10", plot(pr, show_data = FALSE) ) }) test_that("plots facets", { data(efc, package = "ggeffects") # make categorical efc <- datawizard::to_factor(efc, c("c161sex", "c172code", "e16sex", "nur_pst")) fit <- lm(neg_c_7 ~ c161sex * c172code * e16sex * nur_pst, data = efc) pr <- estimate_means(fit, c("c161sex", "c172code", "e16sex", "nur_pst")) set.seed(123) vdiffr::expect_doppelganger( "plot-interaction-facets-cat-1", plot(pr, show_data = FALSE) ) fit <- lm(neg_c_7 ~ c161sex * c172code * e16sex * nur_pst * negc7d, data = efc) pr <- estimate_means(fit, c("c161sex", "c172code", "e16sex", "nur_pst", "negc7d")) set.seed(123) vdiffr::expect_doppelganger( "plot-interaction-facets-cat-2", plot(pr, show_data = FALSE) ) # no connecting lines set.seed(123) vdiffr::expect_doppelganger( "plot-interaction-facets-cat-3", plot(pr, show_data = FALSE, join_dots = FALSE) ) }) test_that("plots facets, emmeans", { data(efc, package = "ggeffects") # make categorical efc <- datawizard::to_factor(efc, c("c161sex", "c172code", "e16sex", "nur_pst")) fit <- lm(neg_c_7 ~ c161sex * c172code * e16sex * nur_pst, data = efc) pr <- estimate_means(fit, c("c161sex", "c172code", "e16sex", "nur_pst"), backend = "emmeans") set.seed(123) vdiffr::expect_doppelganger( "plot-interaction-facets-cat-4emmeans", plot(pr, show_data = FALSE) ) fit <- lm(neg_c_7 ~ c161sex * c172code * e16sex * nur_pst * negc7d, data = efc) pr <- estimate_means(fit, c("c161sex", "c172code", "e16sex", "nur_pst", "negc7d"), backend = "emmeans") set.seed(123) vdiffr::expect_doppelganger( "plot-interaction-facets-cat-5emmeans", plot(pr, show_data = FALSE) ) # no connecting lines set.seed(123) vdiffr::expect_doppelganger( "plot-interaction-facets-cat-6emmeans", plot(pr, show_data = FALSE, join_dots = FALSE) ) })