stats (version 3.1.2)

plot.HoltWinters: Plot function for HoltWinters objects

Description

Produces a chart of the original time series along with the fitted values. Optionally, predicted values (and their confidence bounds) can also be plotted.

Usage

"plot"(x, predicted.values = NA, intervals = TRUE, separator = TRUE, col = 1, col.predicted = 2, col.intervals = 4, col.separator = 1, lty = 1, lty.predicted = 1, lty.intervals = 1, lty.separator = 3, ylab = "Observed / Fitted", main = "Holt-Winters filtering", ylim = NULL, ...)

Arguments

x
Object of class "HoltWinters"
predicted.values
Predicted values as returned by predict.HoltWinters
intervals
If TRUE, the prediction intervals are plotted (default).
separator
If TRUE, a separating line between fitted and predicted values is plotted (default).
col, lty
Color/line type of original data (default: black solid).
col.predicted, lty.predicted
Color/line type of fitted and predicted values (default: red solid).
col.intervals, lty.intervals
Color/line type of prediction intervals (default: blue solid).
col.separator, lty.separator
Color/line type of observed/predicted values separator (default: black dashed).
ylab
Label of the y-axis.
main
Main title.
ylim
Limits of the y-axis. If NULL, the range is chosen such that the plot contains the original series, the fitted values, and the predicted values if any.
...
Other graphics parameters.

References

C. C. Holt (1957) Forecasting trends and seasonals by exponentially weighted moving averages, ONR Research Memorandum, Carnegie Institute of Technology 52.

P. R. Winters (1960) Forecasting sales by exponentially weighted moving averages, Management Science 6, 324--342.

See Also

HoltWinters, predict.HoltWinters