validate {qdapRegex} | R Documentation |
Regex Validation Function Generator
Description
Generate function to validate regular expressions.
Usage
validate(
pattern,
single = TRUE,
trim = FALSE,
clean = FALSE,
dictionary = getOption("regex.library")
)
Arguments
pattern |
A character string containing a regular expression (or
character string for |
single |
logical. If |
trim |
logical. If |
clean |
trim logical. If |
dictionary |
A dictionary of canned regular expressions to search within
if |
Value
Returns a function that operates typical of other qdapRegex
rm_XXX
functions but with user defined defaults.
Warning
validate
uses qdapRegex's built in regular
expressions. As this patterns are used for text analysis they tend to be
flexible and thus liberal. The user may wish to define more conservative
validation regular expressions and supply to pattern
.
Examples
## Single element email
valid_email <- validate("@rm_email")
valid_email(c("tyler.rinker@gmail.com", "@trinker"))
## Multiple elements
valid_email_1 <- validate("@rm_email", single=FALSE)
valid_email_1(c("tyler.rinker@gmail.com", "@trinker"))
## single element address
valid_address <- validate("@rm_city_state_zip")
valid_address("Buffalo, NY 14217")
valid_address("buffalo,NY14217")
valid_address("buffalo NY 14217")
valid_address2 <- validate(paste0("(\\b([A-Z][\\w-]*)+),",
"\\s([A-Z]{2})\\s(?<!\\d)\\d{5}(?:[ -]\\d{4})?\\b"))
valid_address2("Buffalo, NY 14217")
valid_address2("buffalo, NY 14217")
valid_address2("buffalo,NY14217")
valid_address2("buffalo NY 14217")