# plot.forecast

From forecast v2.00
by Rob Hyndman

##### 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.

##### See Also

##### 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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