forecast (version 8.13)

autolayer.mts: Automatically create a ggplot for time series objects

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 mts
autolayer(object, colour = TRUE, series = NULL, ...)
# S3 method for msts
autolayer(object, series = NULL, ...)
# S3 method for ts
autolayer(object, colour = TRUE, series = NULL, ...)
# S3 method for ts
autoplot(
  object,
  series = NULL,
  xlab = "Time",
  ylab = deparse(substitute(object)),
  main = NULL,
  ...
)
# S3 method for mts
autoplot(
  object,
  colour = TRUE,
  facets = FALSE,
  xlab = "Time",
  ylab = deparse(substitute(object)),
  main = NULL,
  ...
)
# S3 method for msts
autoplot(object, ...)
# S3 method for ts
fortify(model, data, ...)

Arguments

object

Object of class “ts” or “mts”.

colour

If TRUE, the time series will be assigned a colour aesthetic

series

Identifies the timeseries with a colour, which integrates well with the functionality of geom_forecast.

...

Other plotting parameters to affect the plot.

xlab

X-axis label.

ylab

Y-axis label.

main

Main 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.

model

Object of class “ts” to be converted to “data.frame”.

data

Not used (required for fortify method)

Value

None. Function produces a ggplot graph.

Details

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

See Also

plot.ts, fortify

Examples

# NOT RUN {
library(ggplot2)
autoplot(USAccDeaths)

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

# }