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Sign up| context("ds_group_summary") | |
| test_that("output from ds_group_summary matches the expected result", { | |
| mt <- mtcars | |
| mt$cyl <- as.factor(mt$cyl) | |
| k <- ds_group_summary(mt, cyl, mpg) | |
| metrics <- c( | |
| "Obs", "Minimum", "Maximum", "Mean", "Median", "Mode", | |
| "Std. Deviation", "Variance", "Skewness", "Kurtosis", | |
| "Uncorrected SS", "Corrected SS", "Coeff Variation", | |
| "Std. Error Mean", "Range", "Interquartile Range" | |
| ) | |
| expect_equal(k$xvar, "cyl") | |
| expect_equal(k$yvar, "mpg") | |
| expect_equivalent(as.character(k$stats[, 1]), metrics) | |
| expect_equivalent(k$stats[, 2], c( | |
| 11.00, 21.40, 33.90, 26.66, 26.00, 22.80, | |
| 4.51, 20.34, 0.35, -1.43, 8023.83, 203.39, | |
| 16.91, 1.36, 12.50, 7.60 | |
| )) | |
| expect_equivalent(k$stats[, 3], c( | |
| 7.00, 17.80, 21.40, 19.74, 19.70, 21.00, | |
| 1.45, 2.11, -0.26, -1.83, 2741.14, 12.68, | |
| 7.36, 0.55, 3.60, 2.35 | |
| )) | |
| expect_equivalent(k$stats[, 4], c( | |
| 14.00, 10.40, 19.20, 15.10, 15.20, 10.40, | |
| 2.56, 6.55, -0.46, 0.33, 3277.34, 85.20, | |
| 16.95, 0.68, 8.80, 1.85 | |
| )) | |
| }) | |
| test_that("ds_group_summary throws the appropriate error", { | |
| mt <- mtcars | |
| mt$cyl <- as.factor(mt$cyl) | |
| mt$am <- as.factor(mt$am) | |
| expect_error( | |
| ds_group_summary(mtcars, gear, mpg), | |
| "gear is not a categorical variable. The function expects an object of type `factor` but gear is of type `numeric`." | |
| ) | |
| expect_error( | |
| ds_group_summary(mt, cyl, am), | |
| "am is not a continuous variable. The function expects an object of type `numeric` or `integer` but am is of type `factor`." | |
| ) | |
| }) | |
| test_that("output from ds_group_summary plot is as expected", { | |
| skip_on_cran() | |
| k <- ds_group_summary(mtcarz, cyl, mpg) | |
| p <- plot(k) | |
| vdiffr::expect_doppelganger("group_summary", p$plot) | |
| }) | |