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

In nicolofcavalli/rtweet: Collecting Twitter Data

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)

nicolofcavalli/rtweet documentation built on Jan. 26, 2020, 1 a.m.