extract_users: Extract All Users

In knapply/tweetio: Really, Really, Ridiculously Fast I/O, Transformation, and Analytical Routines Twitter Data

Description

Extract all users and relevant data, including retweeters, quoters, repliers, and mentions.

Usage

extract_users(
  tweet_df,
  summarize = TRUE,
  split = FALSE,
  as_tibble = tweetio_as_tibble(),
  ...
)

## S3 method for class 'data.frame'
extract_users(
  tweet_df,
  summarize = TRUE,
  split = FALSE,
  as_tibble = tweetio_as_tibble(),
  ...
)

## S3 method for class 'data.table'
extract_users(
  tweet_df,
  summarize = TRUE,
  split = FALSE,
  as_tibble = tweetio_as_tibble(),
  ...
)

Arguments

tweet_df	A data frame of tweets, as obtained by read_tweets() or one of {rtweet}'s collection functions, e.g. rtweet::search_tweets().
summarize	logical(1L), Default: TRUE. Whether to aggregate all users data to a single row containing the most recent non-missing values.
split	logical(1L), Default: FALSE. Whether to split users into separate data frames and return a list of those data frames, retaining all instances where each user was observed. Ignored if summarize is TRUE.
as_tibble	<logical>, Default: tweetio_as_tibble(). Whether a tibble::tibble() should be returned. Ignored if the {tibble} package is not installed.
...	Arguments passed to or from other methods.

Author(s)

Brendan Knapp [e-mail]

Examples

path_to_tweet_file <- example_tweet_file()
tweet_df <- read_tweets(path_to_tweet_file)

extract_users(tweet_df, as_tibble = TRUE) 

extract_users(tweet_df, summarize = FALSE, as_tibble = TRUE) 

split_users <- extract_users(tweet_df, summarize = FALSE, split = TRUE, as_tibble = TRUE)

# first 3 users with more than 5 observations.
split_users[vapply(split_users, function(.x) nrow(.x) > 5, logical(1L))][1:3]

knapply/tweetio documentation built on Dec. 22, 2020, 7:15 p.m.