autoplot.ts: Automatically create a ggplot for time series objects.

In bayesforecast: Bayesian Time Series Modeling with Stan

Description

autoplot takes an object of type ts or mts and creates a ggplot object suitable for usage with stat_forecast.

Usage

## S3 method for class 'ts'
autoplot(
  object,
  series = NULL,
  xlab = "Time",
  ylab = deparse(substitute(object)),
  main = NULL,
  facets = FALSE,
  colour = TRUE,
  ...
)

## S3 method for class 'ts'
fortify(model, data, ...)

Arguments

object	Object of class “ts” or “mts”.
series	Identifies the time series with a colour, which integrates well with the functionality of geom_forecast.
xlab	a string with the plot's x axis label. By default a NUll value.
ylab	a string with the plot's y axis label. By default a counts" value.
main	a string with the plot's title.
facets	If TRUE, multiple time series will be faceted (and unless specified, colour is set to FALSE). If FALSE, each series will be assigned a colour.
colour	If TRUE, the time series will be assigned a colour aesthetic
...	Other plotting parameters to affect the plot.
model	Object of class “ts” to be converted to “data.frame”.
data	Not used (required for fortify method)

Details

fortify.ts takes a ts object and converts it into a data frame (for usage with ggplot2).

Value

None. Function produces a ggplot2 graph.

Author(s)

Mitchell O'Hara-Wild.

See Also

plot.ts, fortify

Examples

library(ggplot2)
autoplot(USAccDeaths)

lungDeaths <- cbind(mdeaths, fdeaths)
autoplot(lungDeaths)
autoplot(lungDeaths, facets=TRUE)

bayesforecast documentation built on June 17, 2021, 5:14 p.m.