Nothing
#context("anscombise")
# Old Faithful data mimicking Anscombe 4
new_faithful <- anscombise(datasets::faithful, which = 4)
stats1 <- get_stats(new_faithful)
#stats2 <- get_stats(datasets::anscombe[, c(4, 8)])
stats2 <- get_stats(anscombe4)
# Remove the sample sizes because they will be different
stats1$n <- NULL
stats2$n <- NULL
test_that("anscombise: new faithful and Anscombe 4 have same stats", {
testthat::expect_equal(stats1, stats2, ignore_attr = TRUE)
})
# Test anscombise on the Anscombe datasets
## Idempotent = FALSE
for (i in 1:4) {
which_dataset <- i
# a_data <- datasets::anscombe[, c(which_dataset, which_dataset + 4L)]
a_data <- switch(which_dataset, "1" = anscombe1, "2" = anscombe2,
"3" = anscombe3, "4" = anscombe4)
new_anscombe <- anscombise(a_data, which = which_dataset, idempotent = FALSE)
stats1 <- get_stats(new_anscombe)
stats2 <- get_stats(a_data)
the_text <- paste("anscombise: new Anscombe", which_dataset, "and Anscombe",
which_dataset, "have same stats")
test_that("the_text", {
testthat::expect_equal(stats1, stats2, ignore_attr = TRUE)
})
}
## Idempotent = TRUE (also check that input = output)
for (i in 1:4) {
which_dataset <- i
# a_data <- datasets::anscombe[, c(which_dataset, which_dataset + 4L)]
a_data <- switch(which_dataset, "1" = anscombe1, "2" = anscombe2,
"3" = anscombe3, "4" = anscombe4)
new_anscombe <- anscombise(a_data, which = which_dataset, idempotent = TRUE)
stats1 <- get_stats(new_anscombe)
stats2 <- get_stats(a_data)
the_text <- paste("anscombise: new Anscombe", which_dataset, "and Anscombe",
which_dataset, "have same stats")
test_that("the_text", {
testthat::expect_equal(stats1, stats2, ignore_attr = TRUE)
})
the_text <- paste("Anscombe", which_dataset,
": input = output when idempotent = TRUE")
# Use as.matrix to deal with the differences in class
test_that("the_text", {
testthat::expect_equal(as.matrix(a_data), as.matrix(new_anscombe),
ignore_attr = TRUE)
})
}
# I looked at the plots
# plot(a_data)
# plot(new_anscombe)
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