#' Average audience
#'
#' @param utilisateur User ID or screen name
#' @param token Your Twitter token
#' @return list followers
#' @export
#' @importFrom magrittr %>%
#' @name %>%
#' @rdname pipe
user_in_depth <- function(user,
token = NULL,
n_tweets = NULL,
output = NULL) {
ctr <- as.numeric(length(user))
user_temp <- user[ctr]
user_info <- rtweet::lookup_users(user_temp, token = token)
user_timeline <- rtweet::get_timeline(user_info$user_id, token = token, n = n_tweets)
list_possible_outputs <- dplyr::data_frame(outputs = c("top_users_rt",
"words_most_used"),
n = c("1",
"2"))
list_possible_outputs <- list_possible_outputs %>%
dplyr::filter(stringr::str_detect(outputs, output))
if(list_possible_outputs$n == 1) {
# Top users rt
top_users_rt <- user_timeline %>%
dplyr::filter(stringr::str_detect(text, "RT @") == T) %>%
dplyr::mutate(text = stringr::str_to_lower(text)) %>%
dplyr::select(text) %>%
dplyr::mutate(users_most_rt = gsub('^.*rt @\\s*|\\s*:.*$', "", text)) %>%
dplyr::count(users_most_rt, sort = T) %>%
dplyr::mutate(screen_name = user_timeline$screen_name[1]) %>%
dplyr::rename(n_top_users_rt = n) %>%
dplyr::select(screen_name,
users_most_rt,
n_top_users_rt)
} else if(list_possible_outputs$n == 2) {
# Words most used
words_most_used <- user_timeline %>%
dplyr::filter(stringr::str_detect(text, "RT @") == F) %>%
dplyr::mutate(text = stringr::str_to_lower(text)) %>%
dplyr::mutate(text = gsub("'", " ", text)) %>%
dplyr::mutate(text = gsub("’", " ", text)) %>%
edouaRd::wordfrequency(text) %>%
dplyr::mutate(screen_name = user_timeline$screen_name[1]) %>%
dplyr::rename(n_words = n) %>%
dplyr::select(screen_name,
words,
n_words)
} else {
print("erreur")
}
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.