like
Pattern Matching with Keyboard Shortcut
Description
Convenient wrapper around grepl() 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.
Usage
like(x, pattern, ignore.case = TRUE) x %like% pattern x %like_case% pattern
Arguments
x |
a character vector where matches are sought, or an object which can be coerced by |
pattern |
a character string containing a regular expression (or character string for |
ignore.case |
if |
Details
The %like% function:
-
Is case-insensitive (use
%like_case%for case-sensitive matching) -
Supports multiple patterns
-
Checks if
patternis a regular expression and setsfixed = TRUEif 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...).
Value
A logical vector
Stable Lifecycle
The lifecycle of this function is stable. In a stable function, major changes are unlikely. This means that the unlying code will generally evolve by adding new arguments; removing arguments or changing the meaning of existing arguments will be avoided.
If the unlying code needs breaking changes, they will occur gradually. For example, a argument will be deprecated and first continue to work, but will emit an message informing you of the change. Next, typically after at least one newly released version on CRAN, the message will be transformed to an error.
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Source
Idea from the like function from the data.table package
See Also
Examples
# simple test
a <- "This is a test"
b <- "TEST"
a %like% b
#> TRUE
b %like% a
#> FALSE
# also supports multiple patterns
a <- c("Test case", "Something different", "Yet another thing")
b <- c( "case", "diff", "yet")
a %like% b
#> TRUE TRUE TRUE
a[1] %like% b
#> TRUE FALSE FALSE
a %like% b[1]
#> TRUE FALSE FALSE
# get isolates whose name start with 'Ent' or 'ent'
if (require("dplyr")) {
example_isolates %>%
filter(mo_name(mo) %like% "^ent")
}