plot.HoltWinters {stats}R Documentation

Plot function for HoltWinters objects


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


## 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, ...)


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.


David Meyer


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

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

See Also

HoltWinters, predict.HoltWinters

[Package stats version 2.5.0 Index]