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