mirror of https://github.com/msberends/AMR.git
38 lines
1.4 KiB
R
38 lines
1.4 KiB
R
% Generated by roxygen2: do not edit by hand
|
|
% Please edit documentation in R/guess_ab_col.R
|
|
\name{guess_ab_col}
|
|
\alias{guess_ab_col}
|
|
\title{Guess antibiotic column}
|
|
\usage{
|
|
guess_ab_col(tbl = NULL, col = NULL, verbose = FALSE)
|
|
}
|
|
\arguments{
|
|
\item{tbl}{a \code{data.frame}}
|
|
|
|
\item{col}{a character to look for}
|
|
|
|
\item{verbose}{a logical to indicate whether additional info should be printed}
|
|
}
|
|
\description{
|
|
This tries to find a column name in a data set based on information from the \code{\link{antibiotics}} data set. You can look for an antibiotic (trade) name or abbreviation and it will search the \code{data.frame} for any column containing a name or ATC code of that antibiotic.
|
|
}
|
|
\section{Read more on our website!}{
|
|
|
|
\if{html}{\figure{logo.png}{options: height=40px style=margin-bottom:5px} \cr}
|
|
On our website \url{https://msberends.gitlab.io/AMR} you can find \href{https://msberends.gitlab.io/AMR/articles/AMR.html}{a omprehensive tutorial} about how to conduct AMR analysis and find \href{https://msberends.gitlab.io/AMR/reference}{the complete documentation of all functions}, which reads a lot easier than in R.
|
|
}
|
|
|
|
\examples{
|
|
df <- data.frame(amox = "S",
|
|
tetr = "R")
|
|
|
|
guess_ab_col(df, "amoxicillin")
|
|
# [1] "amox"
|
|
guess_ab_col(df, "J01AA07") # ATC code of Tetracycline
|
|
# [1] "tetr"
|
|
|
|
guess_ab_col(df, "J01AA07", verbose = TRUE)
|
|
# using column `tetr` for col "J01AA07"
|
|
# [1] "tetr"
|
|
}
|