knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.width = 7, fig.height = 5, out.width = "50%", fig.align = "center" )
library(tweetrbot) library(readr)
rds_file <- system.file("complete_tweets_rspatial.rds", package = "tweetrbot") all_tweets <- read_rds(rds_file)
In this vignette, I do not really post the tweet. I only retrieve its content.
# get last month data # In this saved dataset, last month is April last_month_tweets <- all_tweets %>% filter_month(the_month = 4, the_year = 2020) # update rds data (not run in this example to not modify raw data) # and return last_month updated last_month_updated <- update_data( path = rds_file, statuses = last_month_tweets$status_id, return_all = FALSE, overwrite = TRUE)
output <- top_tweets(all_tweets = last_month_updated, post_tweet = FALSE, top_number = 5)
# Data not really updated in this vignette because would need Twitter credentials output <- all_tweets %>% filter_month(the_month = 4, the_year = 2020) %>% top_tweets(post_tweet = FALSE, top_number = 5)
output$number_contributors output$top_retweet output$number_tweets
output$text_tweet
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