Capture string tokens into a data frame

fstrcapture() is a more efficient alternative for strcapture() when using Perl-compatible regular expressions

Usage

fstrcapture(x, pattern, proto)

Arguments

x

A character vector in which to capture the tokens.

pattern

The regular expression with the capture expressions.

proto

A data.frame or S4 object that behaves like one. See details.

Value

A tabular data structure of the same type as proto, so typically a data.frame, containing a column for each capture expression. The column types are inherited from proto, as are the names unless the captures themselves are named (in which case these are prioritised). Cases in x that do not match the pattern have NA in every column.

See also

strcapture().

Examples

# from regexpr example -------------------------------------------------

# if named capture then pass names on irrespective of proto
notables <- c("  Ben Franklin and Jefferson Davis", "\tMillard Fillmore")
pattern <- "(?<first>[[:upper:]][[:lower:]]+) (?<last>[[:upper:]][[:lower:]]+)"
proto <- data.frame(a="", b="")
fstrcapture(notables, pattern, proto)
#>     first     last
#> 1     Ben Franklin
#> 2 Millard Fillmore

# from strcapture example ----------------------------------------------
# if unnamed capture then proto names used
x <- "chr1:1-1000"
pattern <- "(.*?):([[:digit:]]+)-([[:digit:]]+)"
proto <- data.frame(chr=character(), start=integer(), end=integer())
fstrcapture(x, pattern, proto)
#>    chr start  end
#> 1 chr1     1 1000

# if no proto supplied then all captures treated as character
str(fstrcapture(x, pattern))
#> 'data.frame':	1 obs. of  3 variables:
#>  $ X..  : chr "chr1"
#>  $ X...1: chr "1"
#>  $ X...2: chr "1000"
str(fstrcapture(x, pattern, proto))
#> 'data.frame':	1 obs. of  3 variables:
#>  $ chr  : chr "chr1"
#>  $ start: int 1
#>  $ end  : int 1000