Imports data on Parliamentary Research Briefings. To see a list of possible
topics call research_topics_list()
or
research_subtopics_list()
for both topics and subtopics. To
see a list of briefing types, call research_types_list()
. This
function can return results with newlines in the text of the abstract or
description of the research briefing, represented as '\\n'
.
Usage
research_briefings(
topic = NULL,
subtopic = NULL,
type = NULL,
extra_args = NULL,
tidy = TRUE,
tidy_style = "snake",
verbose = TRUE
)
hansard_research_briefings(
topic = NULL,
subtopic = NULL,
type = NULL,
extra_args = NULL,
tidy = TRUE,
tidy_style = "snake",
verbose = TRUE
)
Arguments
- topic
The topic of the parliamentary briefing. Defaults to
NULL
.- subtopic
The subtopic of the parliamentary briefing. Defaults to
NULL
.- type
The type of research briefing. Defaults to
NULL
.- extra_args
Additional parameters and queries to pass to API. These queries must be strings and start with "&". See the API documentation or the package vignette for more details. Defaults to
NULL
.- tidy
Logical parameter. If
TRUE
, fixes the variable names in the tibble to remove special characters and superfluous text, and converts the variable names to a consistent style. Defaults toTRUE
.- tidy_style
The style to convert variable names to, if
tidy = TRUE
. Accepts any style accepted by to_any_case. Defaults to'snake'
.- verbose
If
TRUE
, displayes messages on the console on the progress of the API request. Defaults toTRUE
.
Examples
if (FALSE) { # \dontrun{
x <- research_briefings("Housing and planning")
# Requests can be made using lists created using `research_topics_list`
# and `research_subtopics_list`
research_topics_list <- research_topics_list()
x <- research_briefings(topic = research_topics_list[[7]])
research_subtopics_list <- research_subtopics_list()
x <- research_briefings(subtopic = research_subtopics_list[[7]][10])
# Requests for certain briefing types can also be made using lists
# created with `research_types_list`.
research_types_list <- research_types_list()
x <- research_briefings(type = research_types_list[[3]])
} # }