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AMR/tests/testthat/test-g.test.R

44 lines
1.2 KiB
R

context("g.test.R")
test_that("G-test works", {
# GOODNESS-OF-FIT
# example 1: clearfield rice vs. red rice
x <- c(772, 1611, 737)
expect_equal(g.test(x, p = c(0.25, 0.50, 0.25))$p.value,
expected = 0.12574,
tolerance = 0.00001)
# example 2: red crossbills
x <- c(1752, 1895)
expect_equal(g.test(x)$p.value,
expected = 0.01787343,
tolerance = 0.00000001)
expect_error(g.test(0))
expect_error(g.test(c(0, 1), 0))
expect_error(g.test(c(1, 2, 3, 4), p = c(0.25, 0.25)))
expect_error(g.test(c(1, 2, 3, 4), p = c(0.25, 0.25, 0.25, 0.24)))
expect_warning(g.test(c(1, 2, 3, 4), p = c(0.25, 0.25, 0.25, 0.24), rescale.p = TRUE))
# INDEPENDENCE
x <- as.data.frame(
matrix(data = round(runif(4) * 100000, 0),
ncol = 2,
byrow = TRUE)
)
expect_lt(g.test(x)$p.value,
1)
expect_warning(g.test(x = c(772, 1611, 737),
y = c(780, 1560, 780),
rescale.p = TRUE))
expect_error(g.test(matrix(data = c(-1, -2, -3 , -4), ncol = 2, byrow = TRUE)))
expect_error(g.test(matrix(data = c(0, 0, 0, 0), ncol = 2, byrow = TRUE)))
})