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disk documentation fix
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@ -23,14 +23,15 @@
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^data-raw$
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^data-raw$
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^\.lintr$
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^\.lintr$
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^tests/testthat/_snaps$
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^tests/testthat/_snaps$
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^vignettes/AMR.Rmd$
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^vignettes/AMR\.Rmd$
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^vignettes/benchmarks.Rmd$
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^vignettes/benchmarks\.Rmd$
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^vignettes/datasets.Rmd$
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^vignettes/*\.not$
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^vignettes/EUCAST.Rmd$
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^vignettes/datasets\.Rmd$
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^vignettes/MDR.Rmd$
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^vignettes/EUCAST\.Rmd$
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^vignettes/PCA.Rmd$
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^vignettes/MDR\.Rmd$
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^vignettes/resistance_predict.Rmd$
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^vignettes/PCA\.Rmd$
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^vignettes/SPSS.Rmd$
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^vignettes/resistance_predict\.Rmd$
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^vignettes/WHONET.Rmd$
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^vignettes/SPSS\.Rmd$
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^vignettes/WHONET\.Rmd$
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^logo.svg$
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^logo.svg$
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^CRAN-SUBMISSION$
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^CRAN-SUBMISSION$
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@ -1,5 +1,5 @@
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Package: AMR
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Package: AMR
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Version: 1.8.1.9019
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Version: 1.8.1.9020
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Date: 2022-08-21
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Date: 2022-08-21
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Title: Antimicrobial Resistance Data Analysis
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Title: Antimicrobial Resistance Data Analysis
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Description: Functions to simplify and standardise antimicrobial resistance (AMR)
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Description: Functions to simplify and standardise antimicrobial resistance (AMR)
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2
NEWS.md
2
NEWS.md
@ -1,4 +1,4 @@
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# AMR 1.8.1.9019
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# AMR 1.8.1.9020
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### New
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### New
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* EUCAST 2022 and CLSI 2022 guidelines have been added for `as.rsi()`. EUCAST 2022 is now the new default guideline for all MIC and disks diffusion interpretations.
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* EUCAST 2022 and CLSI 2022 guidelines have been added for `as.rsi()`. EUCAST 2022 is now the new default guideline for all MIC and disks diffusion interpretations.
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2
R/disk.R
2
R/disk.R
@ -44,7 +44,7 @@
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#' df[, 2:5] <- lapply(df[, 2:5], as.disk)
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#' df[, 2:5] <- lapply(df[, 2:5], as.disk)
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#' str(df)
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#' str(df)
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#'
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#'
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#' #' \donttest{
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#' \donttest{
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#' # transforming is easier with dplyr:
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#' # transforming is easier with dplyr:
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#' if (require("dplyr")) {
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#' if (require("dplyr")) {
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#' df %>% mutate(across(AMP:TOB, as.disk))
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#' df %>% mutate(across(AMP:TOB, as.disk))
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@ -43,7 +43,7 @@ df <- data.frame(microorganism = "Escherichia coli",
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df[, 2:5] <- lapply(df[, 2:5], as.disk)
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df[, 2:5] <- lapply(df[, 2:5], as.disk)
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str(df)
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str(df)
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#' \donttest{
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\donttest{
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# transforming is easier with dplyr:
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# transforming is easier with dplyr:
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if (require("dplyr")) {
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if (require("dplyr")) {
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df \%>\% mutate(across(AMP:TOB, as.disk))
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df \%>\% mutate(across(AMP:TOB, as.disk))
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@ -1,6 +1,6 @@
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---
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---
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title: "How to conduct AMR data analysis"
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title: "How to conduct AMR data analysis"
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author: "Dr Matthijs Berends"
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author: "Dr. Matthijs Berends"
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date: '`r format(Sys.Date(), "%d %B %Y")`'
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date: '`r format(Sys.Date(), "%d %B %Y")`'
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output:
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output:
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rmarkdown::html_vignette:
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rmarkdown::html_vignette:
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