R: Forecast plot

plot.forecast {forecast}

R Documentation

Forecast plot

Description

Plots historical data with forecasts and prediction intervals.

Usage

## S3 method for class 'forecast'
plot(x, include, plot.conf=TRUE, shaded=TRUE, 
    shadebars=(length(x$mean)<5), shadecols=NULL, col=1, fcol=4, 
    pi.col=1, pi.lty=2, ylim=NULL, main=NULL, ylab="", xlab="", type="l", ...)

## S3 method for class 'splineforecast'
plot(x, fitcol=2, type="o", pch=19, ...)

Arguments

`x`	Forecast object produced by `forecast`.
`include`	number of values from time series to include in plot
`plot.conf`	Logical flag indicating whether to plot prediction intervals.
`shaded`	Logical flag indicating whether prediction intervals should be shaded (TRUE) or lines (FALSE)
`shadebars`	Logical flag indicating if prediction intervals should be plotted as shaded bars (if TRUE) or a shaded polygon (if FALSE). Ignored if `shaded=FALSE`. Bars are plotted by default if there are fewer than five forecast horizons.
`shadecols`	Colors for shaded prediction intervals
`col`	the colour for the data line.
`fcol`	the colour for the forecast line.
`pi.col`	If `shade=FALSE` and `plot.conf=TRUE`, the prediction intervals are plotted in this colour.
`pi.lty`	If `shade=FALSE` and `plot.conf=TRUE`, the prediction intervals are plotted using this line type.
`ylim`	Limits on y-axis
`main`	Main title
`ylab`	Y-axis label
`xlab`	X-axis label
`fitcol`	Line colour for fitted values.
`type`	1-character string giving the type of plot desired. As for `plot.default`.
`pch`	Plotting character (if `type=="p"` or `type=="o"`).
`...`	additional arguments to `plot`.

Value

None.

Author(s)

Rob J Hyndman

References

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, Wiley: New York. http://robjhyndman.com/forecasting/.

Examples

deaths.fit <- hw(USAccDeaths,h=48)
plot(deaths.fit)

[Package forecast version 3.24 Index]