# ==================================================================== # # TITLE # # Antimicrobial Resistance (AMR) Data Analysis for R # # # # SOURCE # # https://github.com/msberends/AMR # # # # LICENCE # # (c) 2018-2021 Berends MS, Luz CF et al. # # Developed at the University of Groningen, the Netherlands, in # # collaboration with non-profit organisations Certe Medical # # Diagnostics & Advice, and University Medical Center Groningen. # # # # 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. # # We created this package for both routine data analysis and academic # # research and it was publicly released in the hope that it will be # # useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. # # # # Visit our website for the full manual and a complete tutorial about # # how to conduct AMR data analysis: https://msberends.github.io/AMR/ # # ==================================================================== # #' Pattern Matching with Keyboard Shortcut #' #' Convenient wrapper around [grep()] to match a pattern: `x %like% pattern`. It always returns a [`logical`] vector and is always case-insensitive (use `x %like_case% pattern` for case-sensitive matching). Also, `pattern` can be as long as `x` to compare items of each index in both vectors, or they both can have the same length to iterate over all cases. #' @inheritSection lifecycle Stable Lifecycle #' @param x a character vector where matches are sought, or an object which can be coerced by [as.character()] to a character vector. #' @param pattern a character string containing a regular expression (or [character] string for `fixed = TRUE`) to be matched in the given character vector. Coerced by [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. #' @param ignore.case if `FALSE`, the pattern matching is *case sensitive* and if `TRUE`, case is ignored during matching. #' @return A [`logical`] vector #' @name like #' @rdname like #' @export #' @details #' The `%like%` function: #' * Is case-insensitive (use `%like_case%` for case-sensitive matching) #' * Supports multiple patterns #' * Checks if `pattern` is a regular expression and sets `fixed = TRUE` if not, to greatly improve speed #' * Always uses compatibility with Perl #' #' Using RStudio? The text `%like%` can also be directly inserted in your code 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 [`like` function from the `data.table` package](https://github.com/Rdatatable/data.table/blob/master/R/like.R) #' @seealso [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 isolates whose name start with 'Ent' or 'ent' #' \donttest{ #' if (require("dplyr")) { #' example_isolates %>% #' filter(mo_name(mo) %like% "^ent") #' } #' } like <- function(x, pattern, ignore.case = TRUE) { meet_criteria(x, allow_NA = TRUE) meet_criteria(pattern, allow_NA = FALSE) meet_criteria(ignore.case, allow_class = "logical", has_length = 1) # set to fixed if no regex found fixed <- !any(is_possibly_regex(pattern)) if (ignore.case == TRUE) { # set here, otherwise if fixed = TRUE, this warning will be thrown: argument `ignore.case = TRUE` will be ignored x <- tolower(x) pattern <- tolower(pattern) } if (length(pattern) > 1 & length(x) == 1) { x <- rep(x, length(pattern)) } if (all(is.na(x))) { return(rep(FALSE, length(x))) } if (length(pattern) > 1) { res <- vector(length = length(pattern)) 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 for (i in seq_len(length(res))) { if (is.factor(x[i])) { res[i] <- as.integer(x[i]) %in% grep(pattern[i], levels(x[i]), ignore.case = FALSE, fixed = fixed) } else { res[i] <- grepl(pattern[i], x[i], ignore.case = FALSE, fixed = fixed, perl = !fixed) } } res <- vapply(FUN.VALUE = logical(1), pattern, function(pttrn) grepl(pttrn, x, ignore.case = FALSE, fixed = fixed)) 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 for (i in seq_len(length(res))) { if (is.factor(x[i])) { res[i] <- as.integer(x[i]) %in% grep(pattern[i], levels(x[i]), ignore.case = FALSE, fixed = fixed, perl = !fixed) } else { res[i] <- grepl(pattern[i], x[i], ignore.case = FALSE, fixed = fixed, perl = !fixed) } } return(res) } } # the regular way how grepl works; just one pattern against one or more x if (is.factor(x)) { as.integer(x) %in% grep(pattern, levels(x), ignore.case = FALSE, fixed = fixed, perl = !fixed) } else { grepl(pattern, x, ignore.case = FALSE, fixed = fixed, perl = !fixed) } } #' @rdname like #' @export "%like%" <- function(x, pattern) { meet_criteria(x, allow_NA = TRUE) meet_criteria(pattern, allow_NA = FALSE) like(x, pattern, ignore.case = TRUE) } #' @rdname like #' @export "%like_case%" <- function(x, pattern) { meet_criteria(x, allow_NA = TRUE) meet_criteria(pattern, allow_NA = FALSE) like(x, pattern, ignore.case = FALSE) }