AMR/man/like.Rd

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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/like.R
\name{like}
\alias{like}
\alias{\%like\%}
\alias{\%like_case\%}
\title{Pattern Matching}
\source{
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}.
}
\usage{
like(x, pattern, ignore.case = TRUE)
x \%like\% pattern
x \%like_case\% pattern
}
\arguments{
\item{x}{a character vector where matches are sought, or an
object which can be coerced by \code{as.character} to a character
vector. \link{Long vectors} are supported.}
\item{pattern}{character string containing a \link{regular expression}
(or character string for \code{fixed = TRUE}) to be matched
in the given character vector. Coerced by
\code{\link{as.character}} to a character string if possible. If a
character vector of length 2 or more is supplied, the first element
is used with a warning. Missing values are allowed except for
\code{regexpr} and \code{gregexpr}.}
\item{ignore.case}{if \code{FALSE}, the pattern matching is \emph{case
sensitive} and if \code{TRUE}, case is ignored during matching.}
}
\value{
A \code{logical} vector
}
\description{
Convenient wrapper around \code{\link[base]{grep}} to match a pattern: \code{a \%like\% b}. It always returns a \code{logical} vector and is always case-insensitive (use \code{a \%like_case\% b} for case-sensitive matching). Also, \code{pattern} (\code{b}) can be as long as \code{x} (\code{a}) to compare items of each index in both vectors, or can both have the same length to iterate over all cases.
}
\details{
Using RStudio? This function can also be inserted from the Addins menu and can have its own Keyboard Shortcut like Ctrl+Shift+L or Cmd+Shift+L (see Tools > Modify Keyboard Shortcuts...).
}
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\section{Read more on our website!}{
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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}
\examples{
# simple test
a <- "This is a test"
b <- "TEST"
a \%like\% b
#> TRUE
b \%like\% a
#> FALSE
# also supports multiple patterns, length must be equal to x
a <- c("Test case", "Something different", "Yet another thing")
b <- c("case", "diff", "yet")
a \%like\% b
#> TRUE TRUE TRUE
# get frequencies of bacteria whose name start with 'Ent' or 'ent'
library(dplyr)
example_isolates \%>\%
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filter(mo_genus(mo) \%like\% '^ent') \%>\%
freq(mo_fullname(mo))
}
\seealso{
\code{\link[base]{grep}}
}