tw_get_p1: Get Wikidata property of an item as a character vector of the same length as input

Description

This function wraps tw_get_p(), but always sets only_first and preferred to TRUE in order to give back always a character vector.

Usage

tw_get_p1(
  id,
  p,
  latest_start_time = FALSE,
  language = tidywikidatar::tw_get_language(),
  id_df = NULL,
  cache = NULL,
  overwrite_cache = FALSE,
  cache_connection = NULL,
  disconnect_db = TRUE,
  wait = 0
)

Value

A character vector of the same length as the input.

Arguments

id: A character vector, must start with Q, e.g. "Q254" for Wolfgang Amadeus Mozart.
p: A character vector, a property. Must always start with the capital letter "P", e.g. "P31" for "instance of".
latest_start_time: Logical, defaults to FALSE. If TRUE, returns the property that has the most recent start time ("P580") as qualifier. If no such qualifier is found, then it is ignored.
language: Defaults to language set with tw_set_language(); if not set, "en". Use "all_available" to keep all languages. For available language values, see https://www.wikidata.org/wiki/Help:Wikimedia_language_codes/lists/all
id_df: Default to NULL. If given, it should be a dataframe typically generated with tw_get_(), and is used instead of calling Wikidata or replying on cache.
cache: Defaults to NULL. If given, it should be given either TRUE or FALSE. Typically set with tw_enable_cache() or tw_disable_cache().
overwrite_cache: Logical, defaults to FALSE. If TRUE, it overwrites the table in the local sqlite database. Useful if the original Wikidata object has been updated.
cache_connection: Defaults to NULL. If NULL, and caching is enabled, tidywikidatar will use a local sqlite database. A custom connection to other databases can be given (see vignette caching for details).
disconnect_db: Defaults to TRUE. If FALSE, leaves the connection to cache open.
wait: In seconds, defaults to 0. Time to wait between queries to Wikidata. If data are cached locally, wait time is not applied. If you are running many queries systematically you may want to add some waiting time between queries.

Examples

Run this code

tw_get_p1(id = "Q180099", "P26")

Run the code above in your browser using DataLab