ts.display: Time series display

In ttnsdcn/forecast-package: Forecasting functions for time series

Description

Plots a time series along with its acf and either its pacf, lagged scatterplot or spectrum.

Usage

tsdisplay(x, plot.type="partial", points=TRUE, ci.type="white", 
    lag.max, na.action=na.interp, 
    main=NULL, ylab="", xlab="", pch=1, cex=0.5, ...)

Arguments

x	a numeric vector or time series.
plot.type	type of plot to include in lower right corner. Possible values are "partial", "scatter" or "spectrum".
points	logical flag indicating whether to show the individual points or not in the time plot.
ci.type	type of confidence limits for ACF. Possible values are as for acf.
lag.max	the maximum lag to plot for the acf and pacf. A suitable value is selected by default if the argument is missing.
na.action	how to handle missing values. Default is to use linear interpolation.
main	Main title.
ylab	Y-axis label
xlab	X-axis label
pch	Plotting character
cex	Character size
...	additional arguments to acf.

Value

None.

Author(s)

Rob J Hyndman

References

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, Wiley: New York. http://robjhyndman.com/forecasting/

See Also

plot.ts, acf

Examples

tsdisplay(diff(WWWusage))

ttnsdcn/forecast-package documentation built on June 1, 2019, 2:49 a.m.