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(v2.1.1.9186) replace antibiotics
with antimicrobials
!
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@ -27,43 +27,45 @@
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# how to conduct AMR data analysis: https://msberends.github.io/AMR/ #
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# ==================================================================== #
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# GOODNESS-OF-FIT
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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))$p.value,
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0.12574,
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tolerance = 0.0001
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)
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# example 2: red crossbills
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x <- c(1752, 1895)
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expect_equal(g.test(x)$p.value,
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0.017873,
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tolerance = 0.0001
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)
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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(
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data = round(runif(4) * 100000, 0),
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ncol = 2,
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byrow = TRUE
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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))$p.value,
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0.12574,
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tolerance = 0.0001
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)
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)
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# fisher.test() is always better for 2x2 tables:
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# expect_warning(g.test(x))
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expect_true(suppressWarnings(g.test(x)$p.value) < 1)
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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)$p.value,
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0.017873,
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tolerance = 0.0001
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)
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# expect_warning(g.test(x = c(772, 1611, 737), y = c(780, 1560, 780), rescale.p = TRUE))
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expect_error(g.test(0))
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expect_error(g.test(c(0, 1), 0))
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expect_error(g.test(c(1, 2, 3, 4), p = c(0.25, 0.25)))
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expect_error(g.test(c(1, 2, 3, 4), p = c(0.25, 0.25, 0.25, 0.24)))
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# expect_warning(g.test(c(1, 2, 3, 4), p = c(0.25, 0.25, 0.25, 0.24), rescale.p = TRUE))
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expect_error(g.test(matrix(data = c(-1, -2, -3, -4), ncol = 2, byrow = TRUE)))
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expect_error(g.test(matrix(data = c(0, 0, 0, 0), ncol = 2, byrow = TRUE)))
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# INDEPENDENCE
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x <- as.data.frame(
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matrix(
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data = round(runif(4) * 100000, 0),
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ncol = 2,
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byrow = TRUE
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)
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)
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# fisher.test() is always better for 2x2 tables:
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# expect_warning(g.test(x))
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expect_true(suppressWarnings(g.test(x)$p.value) < 1)
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# expect_warning(g.test(x = c(772, 1611, 737), y = c(780, 1560, 780), 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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