| autolayer.mts {forecast} | R Documentation | 
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 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 = deparse(substitute(object)),
  main = NULL,
  ...
)
## S3 method for class 'mts'
autoplot(
  object,
  colour = TRUE,
  facets = FALSE,
  xlab = "Time",
  ylab = deparse(substitute(object)),
  main = NULL,
  ...
)
## S3 method for class 'msts'
autoplot(object, ...)
## S3 method for class 'ts'
fortify(model, data, ...)
Arguments
| object | Object of class “ | 
| 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 “ | 
| data | Not used (required for  | 
Details
fortify.ts takes a ts object and converts it into a data frame
(for usage with ggplot2).
Value
None. Function produces a ggplot graph.
Author(s)
Mitchell O'Hara-Wild
See Also
Examples
library(ggplot2)
autoplot(USAccDeaths)
lungDeaths <- cbind(mdeaths, fdeaths)
autoplot(lungDeaths)
autoplot(lungDeaths, facets=TRUE)