test_that("correct mode returned", {
tst <- get_mode(c(1,1,1,1,4,3,3,3,3,3,3,3,3))
expect_equal(tst, 3)
})
test_that("mode handles ties as expected", {
## if ties = TRUE should return both values
tst <- get_mode(c(1,1,1,1,4,3,2,2,2,2), ties = TRUE)
expect_equal(tst, c(1,2))
## if ties = FALSE should just pick the first of the n tied values
tst <- get_mode(c(1,1,1,1,4,3,2,2,2,2), ties = FALSE)
expect_equal(tst, 1)
})
test_that("bound works as expected", {
## if ties = TRUE should return both values
tst <- bound(rnorm(1000, mean = 0.5, sd = 0.5), min = 0.01, max = 0.99)
expect_true(!any(tst < 0.01))
expect_true(!any(tst > 0.99))
})
test_that("summary_se returns correct values", {
## test expectations based on rounded values from Cookbook for R
## "Plotting means and error bars (ggplot2)"
tst <- summary_se(ToothGrowth, measure_var = len, supp, dose)
expect_equal(round(tst$mean, 2), c(13.23,22.70,26.06,7.98,16.77,26.14))
expect_equal(round(tst$se, 2), c(1.41,1.24,0.84,0.87,0.80,1.52))
})
test_that("f1 score is correct for use_thresh = FALSE", {
## create same two class data frame used in the yardstick "two_class_example"
two_class <-
dplyr::tribble(~ truth, ~ predicted, ~ n,
"Class1", "Class1", 227,
"Class1", "Class2", 31,
"Class2", "Class1", 50,
"Class2", "Class2", 192)
## calculate f1 score
tst <-
data.frame(truth= rep(two_class$truth, two_class$n),
predicted = rep(two_class$predicted, two_class$n)) %>%
f1(., observed = predicted, truth = truth, positive = "Class1") %>%
dplyr::pull(f1)
## should equal the documented value from f_meas (with beta = 1, f_meas == f1)
expect_equal(round(tst,3), 0.849)
})
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