context("stat_poly_line") library(tibble) set.seed(4321) # generate artificial data x <- 1:100 y <- (x + x^2 + x^3) + rnorm(length(x), mean = 0, sd = mean(x^3) / 4) 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)) formula <- y ~ poly(x, 3, raw = TRUE) 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("poly_line_noload", { vdiffr::expect_doppelganger("stat_poly_line_noload", ggplot2::ggplot(my.data, ggplot2::aes(x, y)) + ggplot2::geom_point() + ggpmisc::stat_poly_line(formula = y ~ 1) ) }) library(ggpmisc) test_that("poly_formulas", { vdiffr::expect_doppelganger("stat_poly_line_formula_1", ggplot(my.data, aes(x, y)) + geom_point() + stat_poly_line(formula = y ~ 1) ) vdiffr::expect_doppelganger("stat_poly_line_formula_x", ggplot(my.data, aes(x, y)) + geom_point() + stat_poly_line(formula = y ~ x) ) vdiffr::expect_doppelganger("stat_poly_line_formula_x_mf", ggplot(my.data, aes(x, y)) + geom_point() + stat_poly_line(formula = y ~ x, fm.values = TRUE) ) vdiffr::expect_doppelganger("stat_poly_line_formula_x_nose", ggplot(my.data, aes(x, y)) + geom_point() + stat_poly_line(formula = y ~ x, se = FALSE) ) vdiffr::expect_doppelganger("stat_poly_line_formula_xminus1", ggplot(my.data, aes(x, y)) + geom_point() + stat_poly_line(formula = y ~ x - 1) ) vdiffr::expect_doppelganger("stat_poly_line_formula_xplus0", ggplot(my.data, aes(x, y)) + geom_point() + stat_poly_line(formula = y ~ x + 0) ) vdiffr::expect_doppelganger("stat_poly_line_formula_poly1", ggplot(my.data, aes(x, y)) + geom_point() + stat_poly_line(formula = y ~ poly(x, 1)) ) vdiffr::expect_doppelganger("stat_poly_line_formula_poly3", ggplot(my.data, aes(x, y)) + geom_point() + stat_poly_line(formula = y ~ poly(x, 3)) ) vdiffr::expect_doppelganger("stat_poly_line_formula_x1", ggplot(my.data, aes(x, y)) + geom_point() + stat_poly_line(formula = x ~ 1) ) vdiffr::expect_doppelganger("stat_poly_line_formula_y", ggplot(my.data, aes(x, y)) + geom_point() + stat_poly_line(formula = x ~ y) ) vdiffr::expect_doppelganger("stat_poly_line_formula_yminus1", ggplot(my.data, aes(x, y)) + geom_point() + stat_poly_line(formula = x ~ y - 1) ) vdiffr::expect_doppelganger("stat_poly_line_formula_yplus0", ggplot(my.data, aes(x, y)) + geom_point() + stat_poly_line(formula = x ~ y + 0) ) vdiffr::expect_doppelganger("stat_poly_line_formula_ypoly1", ggplot(my.data, aes(x, y)) + geom_point() + stat_poly_line(formula = x ~ poly(y, 1)) ) }) test_that("poly_methods", { vdiffr::expect_doppelganger("stat_poly_line_lm_chr", ggplot(my.data, aes(x, y)) + geom_point() + stat_poly_line(formula = y ~ x, method = "lm") ) vdiffr::expect_doppelganger("stat_poly_line_lm_fun", ggplot(my.data, aes(x, y)) + geom_point() + stat_poly_line(formula = y ~ x, method = stats::lm) ) vdiffr::expect_doppelganger("stat_poly_line_rlm_chr", ggplot(my.data, aes(x, y)) + geom_point() + stat_poly_line(formula = y ~ x, method = "rlm") ) vdiffr::expect_doppelganger("stat_poly_line_rlm_fun", ggplot(my.data, aes(x, y)) + geom_point() + stat_poly_line(formula = y ~ x, method = MASS::rlm) ) })