2018-12-16 22:45:12 +01:00
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# ==================================================================== #
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# TITLE #
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# Antimicrobial Resistance (AMR) Analysis #
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# #
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2019-01-02 23:24:07 +01:00
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# SOURCE #
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# https://gitlab.com/msberends/AMR #
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2018-12-16 22:45:12 +01:00
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# #
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# LICENCE #
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2019-01-02 23:24:07 +01:00
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# (c) 2019 Berends MS (m.s.berends@umcg.nl), Luz CF (c.f.luz@umcg.nl) #
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2018-12-16 22:45:12 +01:00
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# #
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2019-01-02 23:24:07 +01:00
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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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2019-04-05 18:47:39 +02:00
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# Visit our website for more info: https://msberends.gitlab.io/AMR. #
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2018-12-16 22:45:12 +01:00
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# ==================================================================== #
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2018-08-12 17:44:06 +02:00
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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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2019-05-10 16:44:59 +02:00
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(septic_patients %>% select(AMC, CIP) %>% ggplot_rsi())$data %>%
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2018-08-12 17:44:06 +02:00
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summarise_all(portion_IR) %>% as.double(),
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2019-05-10 16:44:59 +02:00
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septic_patients %>% select(AMC, CIP) %>%
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2018-08-12 17:44:06 +02:00
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summarise_all(portion_IR) %>% as.double()
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)
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expect_equal(
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2019-05-10 16:44:59 +02:00
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(septic_patients %>% select(AMC, CIP) %>% ggplot_rsi(x = "Interpretation", facet = "Antibiotic"))$data %>%
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2018-08-12 17:44:06 +02:00
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summarise_all(portion_IR) %>% as.double(),
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2019-05-10 16:44:59 +02:00
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septic_patients %>% select(AMC, CIP) %>%
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2018-08-12 17:44:06 +02:00
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summarise_all(portion_IR) %>% as.double()
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)
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expect_equal(
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2019-05-10 16:44:59 +02:00
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(septic_patients %>% select(AMC, CIP) %>% ggplot_rsi(x = "Antibiotic", facet = "Interpretation"))$data %>%
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2018-08-12 17:44:06 +02:00
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summarise_all(portion_IR) %>% as.double(),
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2019-05-10 16:44:59 +02:00
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septic_patients %>% select(AMC, CIP) %>%
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2018-08-12 17:44:06 +02:00
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summarise_all(portion_IR) %>% as.double()
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)
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2018-08-22 00:02:26 +02:00
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expect_equal(
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2019-05-10 16:44:59 +02:00
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(septic_patients %>% select(AMC, CIP) %>% ggplot_rsi(x = "Antibiotic",
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2018-08-22 00:02:26 +02:00
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facet = "Interpretation",
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fun = count_df))$data %>%
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summarise_all(count_IR) %>% as.double(),
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2019-05-10 16:44:59 +02:00
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septic_patients %>% select(AMC, CIP) %>%
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2018-08-22 00:02:26 +02:00
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summarise_all(count_IR) %>% as.double()
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)
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2018-09-17 21:51:21 +02:00
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expect_error(ggplot_rsi(septic_patients, fun = "invalid"))
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expect_error(geom_rsi(septic_patients, fun = "invalid"))
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2019-06-08 23:50:06 +02:00
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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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2018-08-12 17:44:06 +02:00
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})
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