R: Converts tweets data into time series-like data object.

ts_data {rtweet}

R Documentation

Converts tweets data into time series-like data object.

Description

Returns data containing the frequency of tweets over a specified interval of time.

Usage

ts_data(data, by = "days", trim = 0L, tz = "UTC")

Arguments

`data`	Data frame or grouped data frame.
`by`	Desired interval of time expressed as numeral plus one of "secs", "mins", "hours", "days", "weeks", "months", or "years". If a numeric is provided, the value is assumed to be in seconds.
`trim`	Number of observations to trim off the front and end of each time series
`tz`	Time zone to be used, defaults to "UTC" (Twitter default)

Value

Data frame with time, n, and grouping column if applicable.

Examples


## Not run: 

## handles of women senators
sens <- c("SenatorBaldwin", "SenGillibrand", "PattyMurray", "SenatorHeitkamp")

## get timelines for each
sens <- get_timeline(sens, n = 3200)

## get single time series for tweets
ts_data(sens)

## using weekly intervals
ts_data(sens, "weeks")

## group by screen name and then use weekly intervals
sens %>%
  dplyr::group_by(screen_name) %>%
  ts_plot("weeks")


## End(Not run)

[Package rtweet version 0.7.0 Index]