# ==================================================================== # # TITLE # # Antimicrobial Resistance (AMR) Analysis # # # # SOURCE # # https://gitlab.com/msberends/AMR # # # # LICENCE # # (c) 2019 Berends MS (m.s.berends@umcg.nl), Luz CF (c.f.luz@umcg.nl) # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # # # # This R package was created for academic research and was publicly # # released in the hope that it will be useful, but it comes WITHOUT # # ANY WARRANTY OR LIABILITY. # # Visit our website for more info: https://msberends.gitlab.io/AMR. # # ==================================================================== # #' Pattern Matching #' #' 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. #' @inheritParams base::grepl #' @return A \code{logical} vector #' @name like #' @rdname like #' @export #' @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...). #' @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}. #' @seealso \code{\link[base]{grep}} #' @inheritSection AMR Read more on our website! #' @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 %>% #' left_join_microorganisms() %>% #' filter(genus %like% '^ent') %>% #' freq(genus, species) like <- function(x, pattern, ignore.case = TRUE) { if (length(pattern) > 1) { if (length(x) != length(pattern)) { if (length(x) == 1) { x <- rep(x, length(pattern)) } # return TRUE for every 'x' that matches any 'pattern', FALSE otherwise res <- sapply(pattern, function(pttrn) base::grepl(pttrn, x, ignore.case = ignore.case)) res2 <- as.logical(rowSums(res)) # get only first item of every hit in pattern res2[duplicated(res)] <- FALSE res2[rowSums(res) == 0] <- NA return(res2) } else { # x and pattern are of same length, so items with each other res <- vector(length = length(pattern)) for (i in seq_len(length(res))) { if (is.factor(x[i])) { res[i] <- as.integer(x[i]) %in% base::grep(pattern[i], levels(x[i]), ignore.case = ignore.case) } else { res[i] <- base::grepl(pattern[i], x[i], ignore.case = ignore.case) } } return(res) } } # the regular way how grepl works; just one pattern against one or more x if (is.factor(x)) { as.integer(x) %in% base::grep(pattern, levels(x), ignore.case = ignore.case) } else { tryCatch(base::grepl(pattern, x, ignore.case = ignore.case), error = function(e) ifelse(test = grepl("Invalid regexp", e$message), # try with perl = TRUE: yes = return(base::grepl(pattern, x, ignore.case = ignore.case, perl = TRUE)), no = stop(e$message))) } } #' @rdname like #' @export "%like%" <- function(x, pattern) { like(x, pattern, ignore.case = TRUE) } #' @rdname like #' @export "%like_case%" <- function(x, pattern) { like(x, pattern, ignore.case = FALSE) }