cfr_text: Extract the Text for a Given Year, Title, Chapter, and Part

In fedregs: Text Analysis of the US Code of Federal Regulations

Description

cfr_text returns a tibble of CFR text

Usage

cfr_text(year, title_number, chapter, part, token = "words",
  return_tidytext = TRUE, verbose = FALSE, ...)

Arguments

year	numeric between 1996 and 2018.
title_number	numeric between 1 and 50.
chapter	numeric or roman numeral.
part	numeric.
token	character. Unit for tokenizing. Currently
return_tidytext	logical. TRUE = tidytext, FALSE = raw data
verbose	logical. Will return "helpful" messages regarding the status of the URL.
...	Extra arguments passed on to tokenizers, such as n and k for "ngrams" and "skip_ngrams"

Details

cfr_text

This function is the main function of the fedregs package. It takes the title, chapter, part, and year and returns a tibble of raw text (return_tidytext = FALSE) or tidytext text (return_tidytext = TRUE). N.b., it has not been extensively tested on titles and chapters other than Title 50 chapter VI and part 648.

Value

a tibble with year, title_number, chapter, part, and text nested by subpart

Examples

regs <- cfr_text(year = 2018,
title_number = 50,
chapter = 6,
part = 648,
return_tidytext = TRUE,
token = "words",
verbose = TRUE)
head(regs)

fedregs documentation built on Sept. 17, 2019, 1:02 a.m.