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'.

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 to TRUE.

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 to TRUE.

Value

A tibble with details on parliamentary research briefings on the given topic.

See also

Examples

# NOT RUN {
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]])
# }