mirror of
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68 lines
3.3 KiB
R
68 lines
3.3 KiB
R
# ==================================================================== #
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# TITLE #
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# Antimicrobial Resistance (AMR) Analysis #
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# #
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# SOURCE #
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# https://gitlab.com/msberends/AMR #
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# #
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# LICENCE #
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# (c) 2019 Berends MS (m.s.berends@umcg.nl), Luz CF (c.f.luz@umcg.nl) #
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# #
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# This R package is free software; you can freely use and distribute #
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# it for both personal and commercial purposes under the terms of the #
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# GNU General Public License version 2.0 (GNU GPL-2), as published by #
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# the Free Software Foundation. #
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# #
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# This R package was created for academic research and was publicly #
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# released in the hope that it will be useful, but it comes WITHOUT #
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# ANY WARRANTY OR LIABILITY. #
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# Visit our website for more info: https://msberends.gitlab.io/AMR. #
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# ==================================================================== #
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context("ggplot_rsi.R")
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test_that("ggplot_rsi works", {
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skip_if_not("ggplot2" %in% rownames(installed.packages()))
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library(dplyr)
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library(ggplot2)
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# data should be equal
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expect_equal(
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(example_isolates %>% select(AMC, CIP) %>% ggplot_rsi())$data %>% summarise_all(resistance) %>% as.double(),
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example_isolates %>% select(AMC, CIP) %>% summarise_all(resistance) %>% as.double()
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)
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print(example_isolates %>% select(AMC, CIP) %>% ggplot_rsi(x = "interpretation", facet = "antibiotic"))
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print(example_isolates %>% select(AMC, CIP) %>% ggplot_rsi(x = "antibiotic", facet = "interpretation"))
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expect_equal(
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(example_isolates %>% select(AMC, CIP) %>% ggplot_rsi(x = "interpretation", facet = "antibiotic"))$data %>% summarise_all(resistance) %>% as.double(),
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example_isolates %>% select(AMC, CIP) %>% summarise_all(resistance) %>% as.double()
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)
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expect_equal(
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(example_isolates %>% select(AMC, CIP) %>% ggplot_rsi(x = "antibiotic", facet = "interpretation"))$data %>% summarise_all(resistance) %>% as.double(),
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example_isolates %>% select(AMC, CIP) %>% summarise_all(resistance) %>% as.double()
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)
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expect_equal(
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(example_isolates %>% select(AMC, CIP) %>% ggplot_rsi(x = "antibiotic", facet = "interpretation"))$data %>% summarise_all(count_resistant) %>% as.double(),
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example_isolates %>% select(AMC, CIP) %>% summarise_all(count_resistant) %>% as.double()
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)
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# support for scale_type ab and mo
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expect_equal(class((data.frame(mo = as.mo(c("e. coli", "s aureus")),
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n = c(40, 100)) %>%
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ggplot(aes(x = mo, y = n)) +
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geom_col())$data),
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"data.frame")
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expect_equal(class((data.frame(ab = as.ab(c("amx", "amc")),
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n = c(40, 100)) %>%
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ggplot(aes(x = ab, y = n)) +
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geom_col())$data),
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"data.frame")
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})
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