plot.forecast: Forecast plot

Description

Plots historical data with forecasts and prediction intervals.

autoplot will produce an equivalent plot as a ggplot object.

Usage

"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," xlab="" ,="" ylab="" type="l" flty="1," flwd="2," ...)="" "autoplot"(object,="" include,="" plot.conf="TRUE," "plot"(x,="" fitcol="2," pch="19," ...)<="" div="">

Arguments

Forecast object produced by forecast.

object

Forecast object produced by forecast. Used for ggplot graphics (S3 method consistency).

include

number of values from time series to include in plot. Default is all values.

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. To get default colors used prior to v3.26, set shadecols="oldstyle".

col

Colour for the data line.

fcol

Colour for the forecast line.

flty

Line type for the forecast line.

flwd

Line width for the forecast line.

pi.col

If shaded=FALSE and plot.conf=TRUE, the prediction intervals are plotted in this colour.

pi.lty

If shaded=FALSE and plot.conf=TRUE, the prediction intervals are plotted using this line type.

ylim

Limits on y-axis.

main

Main title.

xlab

X-axis label.

ylab

Y-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").

...

Other plotting parameters to affect the plot.

Value

References

Hyndman and Athanasopoulos (2014) Forecasting: principles and practice, OTexts: Melbourne, Australia. http://www.otexts.org/fpp/

Examples

Run this code


wine.fit <- hw(wineind,h=48)
plot(wine.fit)
autoplot(wine.fit)

fit <- tslm(wineind ~ fourier(wineind,4))
fcast <- forecast(fit, newdata=data.frame(fourier(wineind,4,20)))
autoplot(fcast)

fcast <- splinef(airmiles,h=5)
plot(fcast)
autoplot(fcast)