% Generated by roxygen2: do not edit by hand % Please edit documentation in R/like.R \name{like} \alias{like} \alias{\%like\%} \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. } \usage{ like(x, pattern) x \%like\% 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}.} } \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. Also, \code{pattern} (\code{b}) can be as long as \code{x} (\code{a}) to compare items of each index in both vectors. } \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...). } \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 comprehensive 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}. } \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) septic_patients \%>\% left_join_microorganisms() \%>\% filter(genus \%like\% '^ent') \%>\% freq(genus, species) } \seealso{ \code{\link[base]{grep}} }