context("stat_quant_band") library(tibble) set.seed(4321) # generate artificial data x <- 1:100 y <- x + rnorm(length(x), mean = 0, sd = 10) my.data <- data.frame(x, y, group = c("A", "B"), y2 = y * c(0.5,2), block = c("a", "a", "b", "b"), wt = sqrt(x)) if (isNamespaceLoaded(name = "package:ggpmisc")) detach(package:ggpmisc, unload = TRUE) if (isNamespaceLoaded(name = "package:ggpp")) detach(package:ggpp, unload = TRUE) if (isNamespaceLoaded(name = "package:ggplot2")) detach(package:ggplot2, unload = TRUE) test_that("quant_band_noload", { withCallingHandlers({ vdiffr::expect_doppelganger("stat_quant_band_noload", ggplot2::ggplot(my.data, ggplot2::aes(x, y)) + ggplot2::geom_point() + ggpmisc::stat_quant_band(formula = y ~ 1) ) }, warning=function(w) { if (grepl("Solution may be nonunique|2 non-positive fis", conditionMessage(w))) invokeRestart("muffleWarning") }) }) library(ggpmisc) test_that("quant_formulas", { withCallingHandlers({ vdiffr::expect_doppelganger("stat_quant_band_formula_missing", ggplot(my.data, aes(x, y)) + geom_point() + stat_quant_band() ) vdiffr::expect_doppelganger("stat_quant_band_formula_missing_orientationy", ggplot(my.data, aes(x, y)) + geom_point() + stat_quant_band(orientation = "y") ) vdiffr::expect_doppelganger("stat_quant_band_formula_missing_orientationx", ggplot(my.data, aes(x, y)) + geom_point() + stat_quant_band(orientation = "x") ) vdiffr::expect_doppelganger("stat_quant_band_formula_missing_rqss", ggplot(my.data, aes(x, y)) + geom_point() + stat_quant_band(method = "rqss") ) expect_error(ggplot(my.data, aes(x, y)) + stat_quant_band(method = "lm")) expect_error(ggplot(my.data, aes(x, y)) + stat_quant_band(method = "lmodel2")) vdiffr::expect_doppelganger("stat_quant_line_fm_NA", ggplot(my.data, aes(x, y)) + geom_point() + stat_quant_band(method = function(...) {NA}) ) vdiffr::expect_doppelganger("stat_quant_line_fm_NULL", ggplot(my.data, aes(x, y)) + geom_point() + stat_quant_band(method = function(...) {NULL}) ) vdiffr::expect_doppelganger("stat_quant_line_fm_missing", ggplot(my.data, aes(x, y)) + geom_point() + stat_quant_band(method = function(...) {list()}) ) vdiffr::expect_doppelganger("stat_quant_band_formula_1", ggplot(my.data, aes(x, y)) + geom_point() + stat_quant_band(formula = y ~ 1) ) vdiffr::expect_doppelganger("stat_quant_band_formula_x", ggplot(my.data, aes(x, y)) + geom_point() + stat_quant_band(formula = y ~ x) ) vdiffr::expect_doppelganger("stat_quant_band_formula_x_Iy", ggplot(my.data, aes(x, y)) + geom_point() + stat_quant_band(formula = I(y) ~ x) ) vdiffr::expect_doppelganger("stat_quant_band_formula_x_Ix", ggplot(my.data, aes(x, y)) + geom_point() + stat_quant_band(formula = y ~ I(x)) ) vdiffr::expect_doppelganger("stat_quant_band_formula_xminus1", ggplot(my.data, aes(x, y)) + geom_point() + stat_quant_band(formula = y ~ x - 1) ) vdiffr::expect_doppelganger("stat_quant_band_formula_xplus0", ggplot(my.data, aes(x, y)) + geom_point() + stat_quant_band(formula = y ~ x + 0) ) vdiffr::expect_doppelganger("stat_quant_band_formula_poly1", ggplot(my.data, aes(x, y)) + geom_point() + stat_quant_band(formula = y ~ poly(x, 1, raw = TRUE)) ) vdiffr::expect_doppelganger("stat_quant_band_formula_poly3", ggplot(my.data, aes(x, y)) + geom_point() + stat_quant_band(formula = y ~ poly(x, 3, raw = TRUE)) ) ### vdiffr::expect_doppelganger("stat_quant_band_formula_x1", ggplot(my.data, aes(x, y)) + geom_point() + stat_quant_band(formula = x ~ 1) ) vdiffr::expect_doppelganger("stat_quant_band_formula_y", ggplot(my.data, aes(x, y)) + geom_point() + stat_quant_band(formula = x ~ y) ) vdiffr::expect_doppelganger("stat_quant_band_formula_y_Ix", ggplot(my.data, aes(x, y)) + geom_point() + stat_quant_band(formula = I(x) ~ y) ) vdiffr::expect_doppelganger("stat_quant_band_formula_y_Iy", ggplot(my.data, aes(x, y)) + geom_point() + stat_quant_band(formula = x ~ I(y)) ) vdiffr::expect_doppelganger("stat_quant_band_formula_yminus1", ggplot(my.data, aes(x, y)) + geom_point() + stat_quant_band(formula = x ~ y - 1) ) vdiffr::expect_doppelganger("stat_quant_band_formula_yplus0", ggplot(my.data, aes(x, y)) + geom_point() + stat_quant_band(formula = x ~ y + 0) ) vdiffr::expect_doppelganger("stat_quant_band_formula_ypoly1", ggplot(my.data, aes(x, y)) + geom_point() + stat_quant_band(formula = x ~ poly(y, 1, raw = TRUE)) ) }, warning=function(w) { if (grepl("Solution may be nonunique|2 non-positive fis", conditionMessage(w))) invokeRestart("muffleWarning") }) })