instability_api_locations: Returns instability data for given locations
In abresler/gdeltr2: R's modern interface GDELT Project Interface

instability_api_locations

R Documentation

Returns instability data for given locations

Description

Returns instability data for given locations

Usage

instability_api_locations(
  location_ids = c("US", "IS", "TU"),
  random_locations = NULL,
  variable_names = c("instability", "conflict", "tone", "protest", "artvolnorm"),
  days_moving_average = NA,
  time_periods = "daily",
  use_multi_locations = F,
  return_wide = T,
  visualize = F,
  nest_data = F,
  return_message = T
)

Arguments

`location_ids`	Specify the location IDs
`random_locations`	Number of random location IDs to add
`variable_names`	Specify variables they can include: `instability` `conflict` `protest` `tone` `artvolnorm`: Relative mentions
`days_moving_average`	Specify day moving average, NA is unsmoothed
`time_periods`	Specified time period `daily` `15min`
`use_multi_locations`	if `TRUE` returns all cities in a select country
`return_wide`	if `TRUE` returns a wide data frame
`visualize`	if 'TRUE' returns a ggplot2 visualization
`nest_data`	if `TRUE` returns a nested data frame
`return_message`	if `TRUE` returns a location

Value

if visualize a ggplot visualization else a tibble

Examples

instability_api_locations(location_ids = c('US', 'IS', "TU"), random_locations = NULL, variable_names = c('instability', 'conflict', 'tone', 'protest', 'artvolnorm'), visualization = T, days_moving_average = NA, time_periods = 'daily', use_multi_locations = F, return_wide = T, nest_data = F, return_message = T)

abresler/gdeltr2 documentation built on July 26, 2023, 11:06 p.m.