plot.mforecast {forecast}R Documentation

Multivariate forecast plot

Description

Plots historical data with multivariate forecasts and prediction intervals.

autoplot will produce an equivelant plot as a ggplot object.

Usage

## S3 method for class 'mforecast'
plot(x, main=paste("Forecasts from",x$method),xlab="time",...)
## S3 method for class 'mforecast'
autoplot(object, plot.conf=TRUE, gridlayout=NULL, ...)

Arguments

x

Multivariate forecast object of class mforecast.

object

Multivariate forecast object of class mforecast. Used for ggplot graphics (S3 method consistency).

main

Main title. Default is the forecast method. For autoplot, specify a vector of titles for each plot.

xlab

X-axis label. For autoplot, specify a vector of labels for each plot.

plot.conf

If FALSE, confidence intervals will not be plotted, giving only the forecast line.

gridlayout

A matrix of positions for the each forecast plot to be positioned.

...

additional arguments to each individual plot.

Author(s)

Mitchell O'Hara-Wild

References

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

See Also

plot.forecast, plot.ts

Examples

library(ggplot2)

lungDeaths <- cbind(mdeaths, fdeaths)
fit <- tslm(lungDeaths ~ trend + season)
fcast <- forecast(fit, h=10)
plot(fcast)
autoplot(fcast)

carPower <- as.matrix(mtcars[,c("qsec","hp")])
carmpg <- mtcars[,"mpg"]
fit <- lm(carPower ~ carmpg)
fcast <- forecast(fit, newdata=data.frame(carmpg=30))
plot(fcast, xlab="Year")
autoplot(fcast, xlab=rep("Year",2))

[Package forecast version 7.3 Index]