Remove/Replace/Extract Title + Person Name

Usage

rm_title_name(text.var, trim = !extract, clean = TRUE, pattern = "@rm_title_name", replacement = "", extract = FALSE, dictionary = getOption("regex.library"), ...)

Arguments

text.var

The text variable.

trim

logical. If TRUE removes leading and trailing white spaces.

clean

trim logical. If TRUE extra white spaces and escaped character will be removed.

pattern

A character string containing a regular expression (or character string for fixed = TRUE) to be matched in the given character vector. Default, @rm_title_name uses the rm_title_name regex from the regular expression dictionary from the dictionary argument.

replacement

Replacement for matched pattern.

extract

logical. If TRUE the person tags are extracted into a list of vectors.

dictionary

A dictionary of canned regular expressions to search within if pattern begins with "@rm_".

...

Other arguments passed to gsub.

Examples

x <- c("Dr. Brend is mizz hart's in mrs. Holtz's.",
    "Where is mr. Bob Jr. and Ms. John Kennedy?")

rm_title_name(x)

[1] "is 's in 's."     "Where is . and ?"

rm_title_name(x, extract=TRUE)

[[1]]
[1] "Dr. Brend"  "mizz hart"  "mrs. Holtz"

[[2]]
[1] "mr. Bob Jr"       "Ms. John Kennedy"

See also

gsub, stri_extract_all_regex Other rm_.functions: as_numeric, as_numeric2, rm_number; as_time, as_time2, rm_time, rm_transcript_time; rm_abbreviation; rm_angle, rm_bracket, rm_bracket_multiple, rm_curly, rm_round, rm_square; rm_between, rm_between_multiple; rm_caps_phrase; rm_caps; rm_citation_tex; rm_citation; rm_city_state_zip; rm_city_state; rm_date; rm_default; rm_dollar; rm_email; rm_emoticon; rm_endmark; rm_hash; rm_nchar_words; rm_non_ascii; rm_non_words; rm_percent; rm_phone; rm_postal_code; rm_repeated_characters; rm_repeated_phrases; rm_repeated_words; rm_tag; rm_twitter_url, rm_url; rm_white, rm_white_bracket, rm_white_colon, rm_white_comma, rm_white_endmark, rm_white_lead, rm_white_lead_trail, rm_white_multiple, rm_white_punctuation, rm_white_trail; rm_zip