generate_trelliscope_bundle: Generate Trelliscope Bundle
In abresler/gdeltr2: R's modern interface GDELT Project Interface

generate_trelliscope_bundle

R Documentation

Generate Trelliscope Bundle

Description

Generates a bundle of trelliscopes for publishing to the web

Usage

generate_trelliscope_bundle(
  include_image_panel = TRUE,
  include_timeline_info = TRUE,
  include_timeline_tone = FALSE,
  include_sentiment_bin = TRUE,
  wordcloud_modes = c("WordCloudImageTags", "WordCloudImageWebTags"),
  terms = NA,
  domains = NA,
  gkg_themes = NA,
  images_ocr = NA,
  images_tag = NA,
  images_web_tag = NA,
  images_face_tone = NA,
  images_num_faces = NA,
  images_web_count = NA,
  timespans = c("24 hours"),
  wordcloud_timespans = c("1 month"),
  dates = NA,
  source_countries = NA,
  tone = NA,
  tone_absolute_value = NA,
  maximum_records = 250,
  translate = NULL,
  timeline_smooth = 5,
  sort_by = "DateDesc",
  base_path = NULL,
  rows = 1,
  columns = 2,
  id_columns = NULL,
  group_columns = NULL,
  return_message = TRUE
)

Arguments

`include_image_panel`	if `TRUE` includes ArtList
`include_timeline_info`	if `TRUE` includes TimelineInfo
`include_timeline_tone`	if `TRUE` includes Timeline tone
`include_sentiment_bin`	if `TRUE` includes sentiment bin
`wordcloud_modes`	Wordcloud items NA - none WordCloudNative - word cloud of native text for specified specified terms/domains/webtags/imagewebtags and OCR'd text WordCloudImageTags - word cloud of resolved imagetags for specified terms/domains/webtags/imagewebtags and OCR'd text WordCloudImageWebTags - word cloud of resolved image web tags for specified terms/domains/webtags/imagewebtags and OCR'd text
`terms`	a vector of terms
`domains`	a vector of webdomains
`gkg_themes`	global knowledge graph theme #' use `dictionary_ft_codebook(code_book = "gkg"))` for options
`images_ocr`	vector of words to search for OCR'd text
`images_tag`	vector of image tags from the image tag code book. use `dictionary_ft_codebook(code_book = "imagetag"))` for options
`images_web_tag`	vector of image tags from the image web tag code book. use `dictionary_ft_codebook(code_book = "imageweb"))`
`images_face_tone`	vector of facial tone scores
`images_num_faces`	vector of face count
`images_web_count`	numeric vector of number of times photo appeared
`timespans`	character vector of the time frame - no more than 12 weeks - default is 24 hours acceptable periods include: hours (default) minutes weeks months
`wordcloud_timespans`	timespans for wordcloud
`dates`	vector of dates in YMD HMS format, separated by `-` you can use the `generate_dates()` function to generate a vector of default `NULL`
`source_countries`	character source countries #' see `dictionary_ft_codebook(code_book = "countries")` for options
`tone`	numeric tone - default (NA)
`tone_absolute_value`	numeric tone absolute value (default NA)
`maximum_records`	Number between 1 and 250
`timeline_smooth`	if `mode` is a time-line
`sort_by`	sorting method DateDesc - descending by date (default) DateAsc - ascending by date ToneDesc - descending tone
`base_path`	base path to save the trelliscopes
`rows`	rows of
`return_message`