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

## S3 method for class 'HoltWinters'
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.

Author(s)

David Meyer [email protected]

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. doi: 10.1287/mnsc.6.3.324.

See Also

HoltWinters, predict.HoltWinters