plot.forecast {forecast} | R Documentation |
Plots historical data with forecasts and prediction intervals.
## 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", flty=1, flwd=2, ...) ## S3 method for class 'splineforecast' plot(x, fitcol=2, type="o", pch=19, ...)
x |
Forecast object produced by |
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 |
shadecols |
Colors for shaded prediction intervals. To get default colors used prior to v3.26, set |
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 |
pi.lty |
If |
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 |
pch |
Plotting character (if |
... |
additional arguments to |
None.
Rob J Hyndman
Hyndman and Athanasopoulos (2014) Forecasting: principles and practice, OTexts: Melbourne, Australia. http://www.otexts.org/fpp/
deaths.fit <- hw(USAccDeaths,h=48) plot(deaths.fit)