| Acf {forecast} | R Documentation |
Largely wrappers for the acf function in the stats package. The main difference is that Acf does not plot a spike at lag 0 (which is redundant). Pacf is included for consistency.
Acf(x, lag.max=NULL, type=c("correlation", "partial"),
plot=TRUE, main=NULL, ...)
Pacf(x, main=NULL, ...)
x |
a univariate time series |
lag.max |
maximum lag at which to calculate the acf. Default is 10*log10(N/m) where N is the number of observations and m the number of series. Will be automatically limited to one less than the number of observations in the series. |
type |
character string giving the type of acf to be computed. Allowed values are " |
plot |
logical. If TRUE (the default) the acf is plotted. |
main |
Title for plot |
... |
Additional arguments passed to |
See the acf function in the stats package.
See the acf function in the stats package.
Rob J Hyndman
Acf(wineind) Pacf(wineind)