generate_tweet: Generate a tweet

In tonyelhabr/xengagement: Quantifying Twitter Engagement to xGPhilosophy

Generate a tweet

Description

Generate a tweet

Usage

generate_tweet(
  pred,
  tweets,
  in_reply_to_tweets,
  preds,
  preds_long,
  shap_long,
  ...,
  prelude = NULL,
  appendix = NULL,
  user = .get_user_bot(),
  dry_run = TRUE,
  delete_plot = !dry_run,
  override = FALSE
)

Arguments

pred	Data frame with {stem}_pred, {stem}_pred_prnk, (team|g|xg)_(h|a), and created_at columns.
tweets	Tweets of the user (punditratio by default) who will be making a reply. Needed to check that a tweet hasn't already been made.
in_reply_to_tweets	Tweets of the user for whom a tweets will be made in reply to (xGPhilosophy by default). Needed for identifying the tweet to reply to.
preds	Predictions with at least team_h, team_a, {stem}_count.
preds_long	Tidy predictions with at least five columns status_id, stem (either favorite or retweet), pred, and count. This will be used to generate a plot to accompany the tweet.
shap_long	Tidy SHAP values with at least four columns status_id, stem (either favorite or retweet), lab, and shap_value. This will be used to generate a plot to accompany the tweet.
...	Extra parameters passed to .save_plot().
prelude, appendix	Extra text to add to beginning or end of auto-generated tweet.
user	Who is making the reply. (pundit_ratio by default.)
dry_run	Whether or not to actually make a tweet.
delete_plot	Whether or not to delete plots made and attached to tweet.
override	Whether or not to override time filtering criteria (useful for testing).

tonyelhabr/xengagement documentation built on June 22, 2022, 5 a.m.