Automatically create a ggplot for time series objects

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 'mts'
autolayer(object, colour = TRUE, series = NULL, ...)

# S3 method for class 'msts'
autolayer(object, series = NULL, ...)

# S3 method for class 'ts'
autolayer(object, colour = TRUE, series = NULL, ...)

# S3 method for class 'ts'
autoplot(
  object,
  series = NULL,
  xlab = "Time",
  ylab = deparse1(substitute(object)),
  main = NULL,
  ...
)

# S3 method for class 'mts'
autoplot(
  object,
  colour = TRUE,
  facets = FALSE,
  xlab = "Time",
  ylab = deparse1(substitute(object)),
  main = NULL,
  ...
)

# S3 method for class 'msts'
autoplot(object, ...)

# S3 method for class '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 time series 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 ggplot2::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).

Author

Mitchell O'Hara-Wild

Examples


library(ggplot2)
autoplot(USAccDeaths)


lungDeaths <- cbind(mdeaths, fdeaths)
autoplot(lungDeaths)

autoplot(lungDeaths, facets = TRUE)