acf2 | R Documentation |
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.
acf2(series, max.lag = NULL, plot = TRUE, main = NULL, ylim = NULL,
na.action = na.pass, ...)
series |
The data (must be more than 2 observations). Does not have to be a time series object. |
max.lag |
Maximum lag. Can be omitted. Defaults to |
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 |
... |
Additional arguments passed to |
Will print and/or plot the sample ACF and PACF on the same scale. The zero lag of the ACF (which is always 1) has been removed. If plot=TRUE
, a graph is produced and the values are rounded and listed. If plot=FALSE
, no graph is produced and the values are listed but not rounded by the script. The error bounds are approximate white noise bounds, -1/n \pm 2/\sqrt{n}
; no other option is given.
ACF |
The sample ACF |
PACF |
The sample PACF |
D.S. Stoffer
You can find demonstrations of astsa capabilities at FUN WITH ASTSA.
The most recent version of the package can be found at https://github.com/nickpoison/astsa/.
In addition, the News and ChangeLog files are at https://github.com/nickpoison/astsa/blob/master/NEWS.md.
The webpages for the texts and some help on using R for time series analysis can be found at https://nickpoison.github.io/.
acf1
, acfm
, ccf2
acf2(rnorm(100))
acf2(rnorm(100), 25, main='') # no title
acf2(rnorm(100), plot=FALSE)[,'ACF'] # print only ACF
acf2(soi, col=2:7, lwd=4, gg=TRUE) # mother's day present
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