Nothing
# Setup -------------------------------------------------------------------
expected_statistics <- read_stats("../data/main.json")
tolerance <- 0.001
# add_stats() -------------------------------------------------------------
test_that("the t-test in main works", {
sleep_wide <- reshape(
sleep,
direction = "wide",
idvar = "ID",
timevar = "group",
sep = "_"
)
sleep_t_test <- t.test(sleep_wide$extra_1, sleep_wide$extra_2, paired = TRUE)
statistics <- add_stats(list(), sleep_t_test, type = "primary")
statistics$sleep_t_test$package <- NULL
expected_statistics$sleep_t_test$package <- NULL
expect_equal(
object = statistics$sleep_t_test,
expected = expected_statistics$sleep_t_test,
tolerance = tolerance
)
})
test_that("the linear regression in main works", {
D9 <- tibble::tibble(
group = gl(2, 10, 20, labels = c("Ctl", "Trt")),
weight = c(
4.17, 5.58, 5.18, 6.11, 4.50, 4.61, 5.17, 4.53, 5.33, 5.14, 4.81,
4.17, 4.41, 3.59, 5.87, 3.83, 6.03, 4.89, 4.32, 4.69
)
)
D9_lm <- lm(weight ~ group, data = D9)
statistics <- add_stats(list(), D9_lm, preregistered = FALSE)
statistics$D9_lm$package <- NULL
expected_statistics$D9_lm$package <- NULL
expect_equal(
object = statistics$D9_lm,
expected = expected_statistics$D9_lm,
tolerance = tolerance
)
})
test_that("the ANOVA in main works", {
npk_aov <- aov(yield ~ block + N * P * K, npk)
statistics <- add_stats(list(), npk_aov, notes = "An ANOVA example")
statistics$npk_aov$package <- NULL
expected_statistics$npk_aov$package <- NULL
expect_equal(
object = statistics$npk_aov,
expected = expected_statistics$npk_aov,
tolerance = tolerance
)
})
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