plot.forecast

0th

Percentile

Forecast plot

Plots a time series with forecasts and prediction intervals.

Keywords
ts
Usage
## 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, pi.col=1, pi.lty=2, ylim = NULL, main = NULL, 
                 ylab = "", xlab = "", ...)
## S3 method for class 'splineforecast':
plot(x,fitcol=2,...)
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)
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.
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.
...
additional arguments to plot.
Value

  • None.

References

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, Wiley: New York. http://www.robhyndman.info/forecasting.

See Also

plot.ts

Aliases
  • plot.forecast
  • plot.splineforecast
Examples
deaths.fit <- hw(USAccDeaths,h=48)
plot(deaths.fit)
Documentation reproduced from package forecast, version 2.00, License: GPL (>= 2)

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