Combined Plot of a Time Series and Its ACF and PACF

Combined plot of a time Series and its autocorrelation and partial autocorrelation

PlotACF(series, lag.max = 10 * log10(length(series)), main = NULL, cex = NULL, ...)
PlotGACF(series, lag.max = 10 * log10(length(series)), type = "cor", ylab = NULL, ...)

Arguments

series

univariate time series.

lag.max

integer. Defines the number of lags to be displayed. The default is 10 * log10(length(series)).

main

an overall title for the plot

cex

numerical value giving the amount by which plotting text and symbols should be magnified relative to the default.

type

character string giving the type of acf to be computed. Allowed values are "cor" (the default), "cov" or "part" for autocorrelation, covariance or partial correlation.

ylab

a title for the y axis: see title.

...

the dots are passed to the plot command.

Details

PlotACF plots a combination of the time series and its autocorrelation and partial autocorrelation. PlotGACF is used as subfunction to produce the acf- and pacf-plots.

Author

Markus Huerzeler (ETH Zurich), some minor modifications Andri Signorell <andri@signorell.net>

See also

ts

Examples

PlotACF(AirPassengers)