astsa (version 1.10)

acf2: Plot and print ACF and PACF of a time series

Description

Produces a simultaneous plot (and a printout) of the sample ACF and PACF on the same scale. The zero lag value of the ACF is removed.

Usage

acf2(series, max.lag=NULL, plot=TRUE, main=NULL, ylim=NULL,
     na.action = na.pass, ...)

Arguments

series

The data. Does not have to be a time series object.

max.lag

Maximum lag. Can be omitted. Defaults to \(\sqrt{n} + 10\) unless \(n < 60\). If the series is seasonal, this will be at least 4 seasons by default.

plot

If TRUE (default), a graph is produced and the values are rounded and listed. If FALSE, no graph is produced and the values are listed but not rounded by the script.

main

Title of graphic; defaults to name of series.

ylim

Specify limits for the y-axis.

na.action

How to handle missing data; default is na.pass

...

Additional arguments passed to acf

Value

ACF

The sample ACF

PACF

The sample PACF

%% ~Describe the value returned %% If it is a LIST, use %% \item{comp1 }{Description of 'comp1'} %% \item{comp2 }{Description of 'comp2'} %% ...

Details

This is basically a wrapper for acf() provided in tseries. The error bounds are approximate white noise bounds, \(0 \pm 2/\sqrt{n}\); no other option is given.

References

http://www.stat.pitt.edu/stoffer/tsa4/ and http://www.stat.pitt.edu/stoffer/tsda/

Examples

Run this code
# NOT RUN {
acf2(rnorm(100))
acf2(rnorm(100), 25, main='')  # no title
acf2(rnorm(100), plot=FALSE)[,'ACF']  # print only ACF
# }

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