plot.forecast {forecast} | R Documentation |
Plots a time series with forecasts and prediction intervals.
## S3 method for class 'forecast': plot(x, include, plot.conf = TRUE, shaded = TRUE, shadecols = switch(1 + (length(x$level) > 1), 7, length(x$level):1), shadepalette=heat.colors(length(x$level)+2)[-1], lambda = NULL, col = 1, fcol = 4, ylim = NULL, main = NULL, ylab = "", xlab = "", ...) ## S3 method for class 'splineforecast': plot(x,fitcol=2,...)
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) |
shadecols |
Colors for shaded prediction intervals |
shadepalette |
Palette for shaded prediction intervals |
lambda |
Box-Cox parameter. If present, function
backtransforms data and forecasts using InvBoxCox . |
col |
the colour for the data line. |
fcol |
the colour for the forecast line. |
ylim |
Limits on y-axis |
main |
Main title |
ylab |
Y-axis label |
xlab |
X-axis label |
fitcol |
Line colour for fitted values. |
... |
additional arguments to plot . |
None.
Rob J Hyndman
Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, Wiley: New York. http://www.robhyndman.info/forecasting.
deaths.fit <- hw(USAccDeaths,h=48) plot(deaths.fit)