knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
This function allows Twitter users to search the website by keyword or hashtag, returning multiple graphics and statistical summaries such as a bar plot of related unique words, a word cloud, a radar chart, and two bar plots of location statistics.
keystats(key, n = 10000, top_num = 10, graph_col = "dodgerblue3")
key: The keyword or hashtag that the user of this function wishes to analyze n: The number of tweets relating to key that the user of this function wishes to analyze. The maximum number of tweets to analyze at once is 18,000. Default = 10,000 top_num: The number of top words/hashtags/locations displayed in the HTML output. Default = 10 graph_col: The color of graphs in the HTML output. Default = "dodgerblue3"
library(tweetstats) keystats <- function(key,n=10000,top_num=10, graph_col = "dodgerblue3"){ if(!is.numeric(n)) stop("n must be numeric number no more than 18000", call. = FALSE) if(n>18000) stop("n should not exceed 18000", call. = FALSE) if(!is.numeric(top_num)) stop("top_num must be numeric") key <- deparse(substitute(key)) n <- deparse(substitute(n)) top_num <- deparse(substitute(top_num)) graph_col <- deparse(substitute(graph_col)) # read in the template and modify it report <- readLines("inst/keystatsTemplate.txt") report <- gsub("xxxnum", n, report, fixed = TRUE) report <- gsub("xxxkeyword", key, report, fixed = TRUE) report <- gsub("xxxtop_num", top_num, report, fixed = TRUE) report <- gsub("xxxfill", graph_col, report, fixed = TRUE) # write out template tf <- tempfile(fileext = ".Rmd") to <- tempfile(fileext = ".Html") writeLines(report, tf) # render R markdown and display library(rmarkdown) render(input = tf, output_format = "html_document", output_file = to) file.show(to) invisible(to) }
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