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			79 lines
		
	
	
		
			3.6 KiB
		
	
	
	
		
			R
		
	
	
	
	
	
			
		
		
	
	
			79 lines
		
	
	
		
			3.6 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                                                               #
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| # https://github.com/msberends/AMR                                     #
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| #                                                                      #
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| # CITE AS                                                              #
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| # Berends MS, Luz CF, Friedrich AW, Sinha BNM, Albers CJ, Glasner C    #
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| # (2022). AMR: An R Package for Working with Antimicrobial Resistance  #
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| # Data. Journal of Statistical Software, 104(3), 1-31.                 #
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| # doi:10.18637/jss.v104.i03                                            #
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| #                                                                      #
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| # Developed at the University of Groningen, the Netherlands, in        #
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| # collaboration with non-profit organisations Certe Medical            #
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| # Diagnostics & Advice, and University Medical Center Groningen.       #
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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://msberends.github.io/AMR/   #
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| # ==================================================================== #
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| 
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| # we use {tinytest} instead of {testthat} because it does not rely on recent R versions - we want to test on R >= 3.0.
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| 
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| # Run them in RStudio using:
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| # rstudioapi::jobRunScript("tests/tinytest.R", name = "Tinytest Unit Tests", workingDir = getwd(), exportEnv = "tinytest_results")
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| 
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| # test only on GitHub Actions and at home - not on CRAN as tests are lengthy
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| if (identical(Sys.getenv("R_RUN_TINYTEST"), "true")) {
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|   # env var 'R_LIBS_USER' got overwritten during 'R CMD check' in GitHub Actions, so:
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|   .libPaths(c(Sys.getenv("R_LIBS_USER_GH_ACTIONS"), .libPaths()))
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|   if (AMR:::pkg_is_available("tinytest", also_load = TRUE)) {
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|     library(AMR)
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|     # set language
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|     set_AMR_locale("English")
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|     # set some functions if on old R
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|     if (getRversion() < "3.2.0") {
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|       anyNA <- AMR:::anyNA
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|       dir.exists <- AMR:::dir.exists
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|       file.size <- AMR:::file.size
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|       file.mtime <- AMR:::file.mtime
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|       isNamespaceLoaded <- AMR:::isNamespaceLoaded
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|       lengths <- AMR:::lengths
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|     }
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|     if (getRversion() < "3.3.0") {
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|       strrep <- AMR:::strrep
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|     }
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|     if (getRversion() < "3.5.0") {
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|       isFALSE <- AMR:::isFALSE
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|     }
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|     if (getRversion() < "3.6.0") {
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|       str2lang <- AMR:::str2lang
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|       # trims() was introduced in 3.3.0, but its argument `whitespace` only in 3.6.0
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|       trimws <- AMR:::trimws
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|     }
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|     if (getRversion() < "4.0.0") {
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|       deparse1 <- AMR:::deparse1
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|     }
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|     # start the unit tests
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|     out <- test_package("AMR",
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|       testdir = ifelse(dir.exists("inst/tinytest"),
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|         "inst/tinytest",
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|         "tinytest"
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|       ),
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|       verbose = 99,
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|       color = FALSE
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|     )
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|     cat("\n\nSUMMARY:\n")
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|     print(summary(out))
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|   }
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| }
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