[R] Values of ACF and PACF
dunc@nw|| @end|ng |rom gm@||@com
Sun Nov 22 09:57:53 CET 2020
There's a thought. Any suggestions in this case?
On Sat, 21 Nov 2020, 22:47 Bert Gunter, <bgunter.4567 using gmail.com> wrote:
> There are also numerous R tutorials available that take it much slower and
> easier than the admittedly terse, dense Help files. You should take
> advantage of those that suit your needs.
> Bert Gunter
> "The trouble with having an open mind is that people keep coming along and
> sticking things into it."
> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
> On Fri, Nov 20, 2020 at 10:56 PM Duncan Williamson <duncanwil using gmail.com>
>> Thank you, Rolf.
>> I am aware of how to open and read the help files, I searched the web,
>> However, as a not so blessed user of R, I don't always understand what I
>> I will do my best with your advice.
>> On Sat, 21 Nov 2020, 10:57 Rolf Turner, <r.turner using auckland.ac.nz> wrote:
>> > On Sat, 21 Nov 2020 08:36:45 +0700
>> > Duncan Williamson <duncanwil using gmail.com> wrote:
>> > > I use the ACF and PACF functions as part of my investigations into
>> > > autocorrelation ...
>> > >
>> > > Is there any way of getting R to show the numerical values provided by
>> > > these functions?
>> > Of course. Easy-peasy. E.g.:
>> > set.seed(42)
>> > x <- rnorm(300)
>> > ax0 <- acf(x,plot=FALSE) # The "plot=FALSE" is not actually necessary.
>> > ax1 <- ax0$acf[,,1]
>> > Reading the help file for a function is Always a Good Idea.
>> > You can also always look at the code. Just type:
>> > acf
>> > Similarly for pacf()
>> > cheers,
>> > Rolf Turner
>> > --
>> > Honorary Research Fellow
>> > Department of Statistics
>> > University of Auckland
>> > Phone: +64-9-373-7599 ext. 88276
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>> and provide commented, minimal, self-contained, reproducible code.
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