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R
data
data-raw
inst
man
pkgdown
tests
testthat
helper-functions.R
test-_deprecated.R
test-_misc.R
test-ab.R
test-ab_from_text.R
test-ab_property.R
test-age.R
test-amr_selectors.R
test-antibiogram.R
test-atc_online.R
test-av.R
test-av_from_text.R
test-av_property.R
test-availability.R
test-bug_drug_combinations.R
test-count.R
test-custom_antimicrobials.R
test-custom_microorganisms.R
test-data.R
test-disk.R
test-eucast_rules.R
test-first_isolate.R
test-g.test.R
test-get_episode.R
test-ggplot_sir.R
test-guess_ab_col.R
test-italicise_taxonomy.R
test-join_microorganisms.R
test-key_antimicrobials.R
test-kurtosis.R
test-like.R
test-mdro.R
test-mean_amr_distance.R
test-mic.R
test-mo.R
test-mo_property.R
test-pca.R
test-plotting.R
test-proportion.R
test-random.R
test-sir.R
test-skewness.R
test-top_n_microorganisms.R
test-translate.R
test-vctrs.R
test-zzz.R
testthat.R
tinytest.R.old
vignettes
.Rbuildignore
.gitignore
AMR.Rproj
CRAN-SUBMISSION
DESCRIPTION
LICENSE
NAMESPACE
NEWS.md
README.Rmd
README.md
_pkgdown.yml
codecov.yml
cran-comments.md
index.Rmd
index.md
logo.svg
55 lines
2.7 KiB
R
55 lines
2.7 KiB
R
# ==================================================================== #
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# TITLE: #
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# AMR: An R Package for Working with Antimicrobial Resistance Data #
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# #
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# SOURCE CODE: #
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# https://github.com/msberends/AMR #
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# #
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# PLEASE CITE THIS SOFTWARE AS: #
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# Berends MS, Luz CF, Friedrich AW, et al. (2022). #
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# AMR: An R Package for Working with Antimicrobial Resistance Data. #
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# Journal of Statistical Software, 104(3), 1-31. #
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# https://doi.org/10.18637/jss.v104.i03 #
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# #
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# Developed at the University of Groningen and the University Medical #
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# Center Groningen in The Netherlands, in collaboration with many #
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# colleagues from around the world, see our website. #
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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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# We created this package for both routine data analysis and academic #
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# research and it was publicly released in the hope that it will be #
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# useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. #
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# #
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# Visit our website for the full manual and a complete tutorial about #
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# how to conduct AMR data analysis: https://amr-for-r.org #
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# ==================================================================== #
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test_that("test-like.R", {
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skip_on_cran()
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expect_true(sum("test" %like% c("^t", "^s")) == 1)
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expect_true("test" %like% "test")
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expect_false("test" %like_case% "TEST")
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expect_true(factor("test") %like% factor("t"))
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expect_true(factor("test") %like% "t")
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expect_true("test" %like% factor("t"))
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expect_true(as.factor("test") %like% "TEST")
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expect_identical(
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factor(c("Test case", "Something different", "Yet another thing")) %like% c("case", "diff", "yet"),
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c(TRUE, TRUE, TRUE)
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)
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expect_identical(
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"test" %like% c("t", "e", "s", "t"),
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c(TRUE, TRUE, TRUE, TRUE)
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)
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expect_identical(
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factor("test") %like% factor(c("t", "e", "s", "t")),
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c(TRUE, TRUE, TRUE, TRUE)
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)
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})
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