# parametric -------------------------------------------------------------- test_that( desc = "corr_test works - parametric", code = { # with NA set.seed(123) df1 <- corr_test( data = msleep, x = brainwt, y = sleep_rem, type = "parametric", digits = 3L, conf.level = 0.90 ) set.seed(123) expect_snapshot(select(df1, -expression)) expect_snapshot(df1[["expression"]]) # without NA set.seed(123) df2 <- corr_test( data = mtcars, x = wt, y = mpg, type = "p", digits = 3L ) set.seed(123) expect_snapshot(select(df2, -expression)) expect_snapshot(df2[["expression"]]) } ) # robust ---------------------------------------------------------------- test_that( desc = "corr_test works - robust", code = { # with NA set.seed(123) df1 <- corr_test( data = msleep, x = brainwt, y = sleep_total, type = "r", digits = 4L, conf.level = 0.50 ) set.seed(123) expect_snapshot(select(df1, -expression)) expect_snapshot(df1[["expression"]]) # without NA set.seed(123) df2 <- corr_test( data = mtcars, x = wt, y = mpg, type = "r" ) set.seed(123) expect_snapshot(select(df2, -expression)) expect_snapshot(df2[["expression"]]) } ) # nonparametric ---------------------------------------------------------- test_that( desc = "corr_test works - nonparametric", code = { # with NA set.seed(123) df1 <- corr_test( data = msleep, x = brainwt, y = sleep_total, type = "np", digits = 4L, conf.level = 0.50 ) set.seed(123) expect_snapshot(select(df1, -expression)) expect_snapshot(df1[["expression"]]) # without NA set.seed(123) df2 <- corr_test( data = mtcars, x = wt, y = mpg, type = "np", digits = 4L ) set.seed(123) expect_snapshot(select(df2, -expression)) expect_snapshot(df2[["expression"]]) } ) # bayesian -------------------------------------- test_that( desc = "corr_test works - Bayesian", code = { # with NA set.seed(123) df1 <- corr_test( type = "bayes", data = msleep, y = brainwt, x = sleep_rem, bf.prior = 0.8, conf.level = 0.99 ) expect_equal(df1$bf10, 0.614, tolerance = 0.001) expect_snapshot(df1[["expression"]]) # without NA set.seed(123) df2 <- corr_test( data = mtcars, x = wt, y = mpg, type = "bayes" ) expect_snapshot(df2[["expression"]]) } )