# Acf

0th

Percentile

##### (Partial) Autocorrelation Function Estimation

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.

Keywords
ts
##### Usage
Acf(x, lag.max=NULL, type=c("correlation", "partial"),
plot=TRUE, main=NULL, ...)
Pacf(x, main=NULL, ...)
##### Arguments
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 "correlation" (the default) or "partial".
plot
logical. If TRUE (the default) the acf is plotted.
main
Title for plot
...
Additional arguments passed to acf.
##### Details

See the acf function in the stats package.

##### Value

• See the acf function in the stats package.

acf

• Acf
• Pacf
##### Examples
Acf(wineind)
Pacf(wineind)
Documentation reproduced from package forecast, version 3.18, License: GPL (>= 2)

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