ts_data: Converts tweets data into time series-like data object.
In mkearney/rtweet: Collecting Twitter Data

Description Usage Arguments Value Examples

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

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

`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)

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

## 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
ts_plot(dplyr::group_by(sens, screen_name), "weeks")

## End(Not run)