Learn R Programming

hansard (version 0.5.0)

lords_divisions: Imports data on House of Lords divisions

Description

Imports data on House of Lords divisions

Usage

lords_divisions(division_id = NULL, summary = FALSE,
  start_date = "1900-01-01", end_date = Sys.Date(), extra_args = NULL,
  tidy = TRUE, tidy_style = "snake_case")

hansard_lords_divisions(division_id = NULL, summary = FALSE, start_date = "1900-01-01", end_date = Sys.Date(), extra_args = NULL, tidy = TRUE, tidy_style = "snake_case")

Arguments

division_id

The id of a particular vote. If empty, returns a tibble with information on all lords divisions. Defaults to NULL.

summary

If TRUE, returns a small tibble summarising a division outcome. Otherwise returns a tibble with details on how each peer voted. Has no effect if `division_id` is empty. Defaults to FALSE.

start_date

The earliest date to include in the tibble, if calling all divisions. Defaults to '1900-01-01'. Accepts character values in 'YYYY-MM-DD' format, and objects of class Date, POSIXt, POSIXct, POSIXlt or anything else than can be coerced to a date with as.Date().

end_date

The latest date to include in the tibble, if calling all divisions. Defaults to current system date. Defaults to '1900-01-01'. Accepts character values in 'YYYY-MM-DD' format, and objects of class Date, POSIXt, POSIXct, POSIXlt or anything else than can be coerced to a date with as.Date().

extra_args

Additional parameters to pass to API. Defaults to NULL.

tidy

Fix the variable names in the tibble to remove special characters and superfluous text, and converts the variable names to a consistent style. Removes extra URL data from voting type columns. Defaults to TRUE.

tidy_style

The style to convert variable names to, if tidy = TRUE. Accepts one of 'snake_case', 'camelCase' and 'period.case'. Defaults to 'snake_case'.

Value

A tibble with the results of divisions in the House of Lords.

Examples

Run this code
# NOT RUN {
x <- lords_divisions(division_id = 705891, summary = TRUE)

x <- lords_divisions(division_id = 705891, summary = FALSE)

# Return all lords divisions in 2016
x <- lords_divisions(NULL, FALSE, start_date = '2016-01-01', end_date = '2016-12-31')

# }

Run the code above in your browser using DataLab