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63 lines
2.9 KiB
R
Executable File
63 lines
2.9 KiB
R
Executable File
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/like.R
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\name{like}
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\alias{like}
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\alias{\%like\%}
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\alias{\%like_case\%}
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\title{Pattern Matching}
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\source{
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Idea from the \href{https://github.com/Rdatatable/data.table/blob/master/R/like.R}{\code{like} function from the \code{data.table} package}, but made it case insensitive at default and let it support multiple patterns. Also, if the regex fails the first time, it tries again with \code{perl = TRUE}.
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}
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\usage{
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like(x, pattern, ignore.case = TRUE)
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x \%like\% pattern
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x \%like_case\% pattern
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}
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\arguments{
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\item{x}{a character vector where matches are sought, or an object which can be coerced by \code{\link[=as.character]{as.character()}} to a character vector.}
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\item{pattern}{a character string containing a regular expression (or \code{\link{character}} string for \code{fixed = TRUE}) to be matched in the given character vector. Coerced by \code{\link[=as.character]{as.character()}} to a character string if possible. If a \code{\link{character}} vector of length 2 or more is supplied, the first element is used with a warning.}
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\item{ignore.case}{if \code{FALSE}, the pattern matching is \emph{case sensitive} and if \code{TRUE}, case is ignored during matching.}
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}
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\value{
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A \code{\link{logical}} vector
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}
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\description{
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Convenient wrapper around \code{\link[base:grep]{base::grep()}} to match a pattern: \code{a \%like\% b}. It always returns a \code{\link{logical}} vector and is always case-insensitive (use \code{a \%like_case\% b} for case-sensitive matching). Also, \code{pattern} (\emph{b}) can be as long as \code{x} (\emph{a}) to compare items of each index in both vectors, or can both have the same length to iterate over all cases.
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}
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\details{
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Using RStudio? This function can also be inserted from the Addins menu and can have its own Keyboard Shortcut like \code{Ctrl+Shift+L} or \code{Cmd+Shift+L} (see \code{Tools} > \verb{Modify Keyboard Shortcuts...}).
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}
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\section{Read more on our website!}{
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On our website \url{https://msberends.gitlab.io/AMR} you can find \href{https://msberends.gitlab.io/AMR/articles/AMR.html}{a tutorial} about how to conduct AMR analysis, the \href{https://msberends.gitlab.io/AMR/reference}{complete documentation of all functions} (which reads a lot easier than here in R) and \href{https://msberends.gitlab.io/AMR/articles/WHONET.html}{an example analysis using WHONET data}.
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}
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\examples{
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# simple test
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a <- "This is a test"
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b <- "TEST"
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a \%like\% b
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#> TRUE
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b \%like\% a
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#> FALSE
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# also supports multiple patterns, length must be equal to x
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a <- c("Test case", "Something different", "Yet another thing")
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b <- c("case", "diff", "yet")
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a \%like\% b
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#> TRUE TRUE TRUE
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# get frequencies of bacteria whose name start with 'Ent' or 'ent'
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library(dplyr)
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example_isolates \%>\%
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filter(mo_genus(mo) \%like\% '^ent') \%>\%
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freq(mo_fullname(mo))
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}
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\seealso{
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\code{\link[base:grep]{base::grep()}}
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}
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