stringi (version 1.5.3)

stri_subset: Select Elements that Match a Given Pattern

Description

These functions return or modify a sub-vector where there is a match a given pattern. In other words, they are roughly equivalent (but faster and easier to use) to a call to str[stri_detect(str, ...)] or str[stri_detect(str, ...)] <- value.

Usage

stri_subset(str, ..., regex, fixed, coll, charclass)

stri_subset(str, ..., regex, fixed, coll, charclass) <- value

stri_subset_fixed( str, pattern, omit_na = FALSE, negate = FALSE, ..., opts_fixed = NULL )

stri_subset_fixed(str, pattern, negate=FALSE, ..., opts_fixed=NULL) <- value

stri_subset_charclass(str, pattern, omit_na = FALSE, negate = FALSE)

stri_subset_charclass(str, pattern, negate=FALSE) <- value

stri_subset_coll( str, pattern, omit_na = FALSE, negate = FALSE, ..., opts_collator = NULL )

stri_subset_coll(str, pattern, negate=FALSE, ..., opts_collator=NULL) <- value

stri_subset_regex( str, pattern, omit_na = FALSE, negate = FALSE, ..., opts_regex = NULL )

stri_subset_regex(str, pattern, negate=FALSE, ..., opts_regex=NULL) <- value

Arguments

str

character vector; strings to search in

...

supplementary arguments passed to the underlying functions, including additional settings for opts_collator, opts_regex, opts_fixed, and so on

value

character vector to be substituted with; replacement function only

pattern, regex, fixed, coll, charclass

character vector; search patterns; for more details refer to stringi-search; the replacement functions accept only one pattern at a time

omit_na

single logical value; should missing values be excluded from the result?

negate

single logical value; whether a no-match is rather of interest

opts_collator, opts_fixed, opts_regex

a named list used to tune up the search engine's settings; see stri_opts_collator, stri_opts_fixed, and stri_opts_regex, respectively; NULL for the defaults

Value

The stri_subset functions return a character vector. As usual, the output encoding is always UTF-8.

The stri_subset<- function modifies the str object 'in-place'.

Details

Vectorized over str, and pattern or value (replacement version) (with recycling of the elements in the shorter vector if necessary).

stri_subset and stri_subset<- are convenience functions. They call either stri_subset_regex, stri_subset_fixed, stri_subset_coll, or stri_subset_charclass, depending on the argument used.

See Also

Other search_subset: about_search

Examples

Run this code
# NOT RUN {
stri_subset_regex(c('stringi R', '123', 'ID456', ''), '^[0-9]+$')

x <- c('stringi R', '123', 'ID456', '')
stri_subset_regex(x, '[^0-9]+|^$') <- NA
print(x)

x <- c('stringi R', '123', 'ID456', '')
stri_subset_regex(x, '^[0-9]+$', negate=TRUE) <- NA
print(x)

# }

Run the code above in your browser using DataCamp Workspace