| like | R Documentation | 
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.
like(x, pattern, ignore.case = TRUE)
x %like% pattern
x %unlike% pattern
x %like_case% pattern
x %unlike_case% pattern
| x | A character vector where matches are sought, or an object which can be coerced by  | 
| pattern | A character vector containing regular expressions (or a character string for  | 
| ignore.case | If  | 
These like() and %like%/%unlike% functions:
 Are case-insensitive (use %like_case%/%unlike_case% for case-sensitive matching)
Support multiple patterns
 Check if pattern is a valid regular expression and sets fixed = TRUE if not, to greatly improve speed (vectorised over pattern)
 Always use compatibility with Perl unless fixed = TRUE, to greatly improve speed
Using RStudio? The %like%/%unlike% functions can also be directly inserted in your code from the Addins menu and can have its own keyboard shortcut like Shift+Ctrl+L or Shift+Cmd+L (see menu Tools > Modify Keyboard Shortcuts...). If you keep pressing your shortcut, the inserted text will be iterated over %like% -> %unlike% -> %like_case% -> %unlike_case%.
A logical vector
Idea from the like function from the data.table package, although altered as explained in Details.
grepl()
# data.table has a more limited version of %like%, so unload it:
try(detach("package:data.table", unload = TRUE), silent = TRUE)
a <- "This is a test"
b <- "TEST"
a %like% b
b %like% a
# also supports multiple patterns
a <- c("Test case", "Something different", "Yet another thing")
b <- c("case", "diff", "yet")
a %like% b
a %unlike% b
a[1] %like% b
a %like% b[1]
# get isolates whose name start with 'Entero' (case-insensitive)
example_isolates[which(mo_name() %like% "^entero"), ]
if (require("dplyr")) {
  example_isolates %>%
    filter(mo_name() %like% "^ent")
}
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