From a98d0d75ea3580e6704763ac426e8a120a13d3d7 Mon Sep 17 00:00:00 2001 From: "Matthijs S. Berends" Date: Thu, 5 Jan 2023 14:46:44 +0100 Subject: [PATCH] styler dep --- .github/prehooks/pre-commit | 2 +- DESCRIPTION | 2 +- NEWS.md | 2 +- R/sysdata.rda | Bin 354088 -> 354100 bytes data-raw/_pre_commit_hook.R | 18 ++++++++++-------- man/ab_property.Rd | 2 +- man/custom_eucast_rules.Rd | 2 +- man/mean_amr_distance.Rd | 34 ++++++++++++++++++++++------------ 8 files changed, 37 insertions(+), 25 deletions(-) diff --git a/.github/prehooks/pre-commit b/.github/prehooks/pre-commit index 6814b90f..76f833ce 100755 --- a/.github/prehooks/pre-commit +++ b/.github/prehooks/pre-commit @@ -33,7 +33,7 @@ echo "Running pre-commit hook..." # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ if command -v Rscript > /dev/null; then - if [ "$(Rscript -e 'cat(all(c('"'pkgload'"', '"'devtools'"', '"'dplyr'"', '"'styler'"') %in% rownames(installed.packages())))')" = "TRUE" ]; then + if [ "$(Rscript -e 'cat(all(c('"'pkgload'"', '"'devtools'"', '"'dplyr'"') %in% rownames(installed.packages())))')" = "TRUE" ]; then Rscript -e "source('data-raw/_pre_commit_hook.R')" currentpkg=`Rscript -e "cat(pkgload::pkg_name())"` echo "-> Adding all files in 'data-raw' to this commit" diff --git a/DESCRIPTION b/DESCRIPTION index a909b844..fcd410fc 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,5 +1,5 @@ Package: AMR -Version: 1.8.2.9077 +Version: 1.8.2.9078 Date: 2023-01-05 Title: Antimicrobial Resistance Data Analysis Description: Functions to simplify and standardise antimicrobial resistance (AMR) diff --git a/NEWS.md b/NEWS.md index 58d290bc..24ebfaa2 100755 --- a/NEWS.md +++ b/NEWS.md @@ -1,4 +1,4 @@ -# 1.8.2.9077 +# AMR 1.8.2.9078 *(this beta version will eventually become v2.0! 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z{wms$&2OAJV6nrz*bdqlD6-Vv5h)|aXszwYXP^BaGP@LOpXvmX2^#qT00000t}}\preformatted{y <- custom_eucast_rules(TZP == "S" & genus == "Klebsiella" ~ aminopenicillins == "S", TZP == "R" & genus == "Klebsiella" ~ aminopenicillins == "R") diff --git a/man/mean_amr_distance.Rd b/man/mean_amr_distance.Rd index 5e6f9429..88e166a5 100644 --- a/man/mean_amr_distance.Rd +++ b/man/mean_amr_distance.Rd @@ -16,7 +16,7 @@ mean_amr_distance(x, ...) amr_distance_from_row(amr_distance, row) } \arguments{ -\item{x}{a vector of class \link[=as.rsi]{rsi}, \link[=as.rsi]{rsi} or \link[=as.rsi]{rsi}, or a \link{data.frame} containing columns of any of these classes} +\item{x}{a vector of class \link[=as.rsi]{rsi}, \link[=as.mic]{mic} or \link[=as.disk]{disk}, or a \link{data.frame} containing columns of any of these classes} \item{...}{variables to select (supports \link[tidyselect:language]{tidyselect language} such as \code{column1:column4} and \code{where(is.mic)}, and can thus also be \link[=ab_selector]{antibiotic selectors}} @@ -30,13 +30,13 @@ amr_distance_from_row(amr_distance, row) Calculates a normalised mean for antimicrobial resistance between multiple observations, to help to identify similar isolates without comparing antibiograms by hand. } \details{ -The mean AMR distance is a normalised numeric value to compare AMR test results and can help to identify similar isolates, without comparing antibiograms by hand. For common numeric data this distance is equal to \href{https://en.wikipedia.org/wiki/Standard_score}{Z scores} (the number of standard deviations from the mean). +The mean AMR distance is effectively \href{https://en.wikipedia.org/wiki/Standard_score}{the Z-score}; a normalised numeric value to compare AMR test results which can help to identify similar isolates, without comparing antibiograms by hand. -MIC values (see \code{\link[=as.mic]{as.mic()}}) are transformed with \code{\link[=log2]{log2()}} first; their distance is calculated as \code{(log2(x) - mean(log2(x))) / sd(log2(x))}. +MIC values (see \code{\link[=as.mic]{as.mic()}}) are transformed with \code{\link[=log2]{log2()}} first; their distance is thus calculated as \code{(log2(x) - mean(log2(x))) / sd(log2(x))}. R/SI values (see \code{\link[=as.rsi]{as.rsi()}}) are transformed using \code{"S"} = 1, \code{"I"} = 2, and \code{"R"} = 3. If \code{combine_SI} is \code{TRUE} (default), the \code{"I"} will be considered to be 1. -For data sets, the mean AMR distance will be calculated per variable, after which the mean of all columns will returned per row (using \code{\link[=rowMeans]{rowMeans()}}), see \emph{Examples}. +For data sets, the mean AMR distance will be calculated per column, after which the mean per row will be returned, see \emph{Examples}. Use \code{\link[=amr_distance_from_row]{amr_distance_from_row()}} to subtract distances from the distance of one row, see \emph{Examples}. } @@ -46,14 +46,24 @@ Isolates with distances less than 0.01 difference from each other should be cons } \examples{ -x <- random_mic(10) -x -mean_amr_distance(x) +rsi <- random_rsi(10) +rsi +mean_amr_distance(rsi) + +mic <- random_mic(10) +mic +mean_amr_distance(mic) +# equal to the Z-score of their log2: +(log2(mic) - mean(log2(mic))) / sd(log2(mic)) + +disk <- random_disk(10) +disk +mean_amr_distance(disk) y <- data.frame( id = LETTERS[1:10], - amox = random_mic(10, ab = "amox", mo = "Escherichia coli"), - cipr = random_mic(10, ab = "cipr", mo = "Escherichia coli"), + amox = random_rsi(10, ab = "amox", mo = "Escherichia coli"), + cipr = random_disk(10, ab = "cipr", mo = "Escherichia coli"), gent = random_mic(10, ab = "gent", mo = "Escherichia coli"), tobr = random_mic(10, ab = "tobr", mo = "Escherichia coli") ) @@ -65,7 +75,7 @@ y[order(y$amr_distance), ] if (require("dplyr")) { y \%>\% mutate( - amr_distance = mean_amr_distance(., where(is.mic)), + amr_distance = mean_amr_distance(y), check_id_C = amr_distance_from_row(amr_distance, id == "C") ) \%>\% arrange(check_id_C) @@ -76,7 +86,7 @@ if (require("dplyr")) { filter(mo_genus() == "Enterococcus" & mo_species() != "") \%>\% select(mo, TCY, carbapenems()) \%>\% group_by(mo) \%>\% - mutate(d = mean_amr_distance(., where(is.rsi))) \%>\% - arrange(mo, d) + mutate(dist = mean_amr_distance(.)) \%>\% + arrange(mo, dist) } }