R help - Nov 2020 - Values of ACF and PACF

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?

TIA

Duncan

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On Sat, 21 Nov 2020 08:36:45 +0700
Duncan Williamson <duncanwil at 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

Thank you, Rolf.

I am aware of how to open and read the help files, I searched the web, too.
However, as a not so blessed user of R, I don't always understand what I
read.

I will do my best with your advice.

Duncan

On Sat, 21 Nov 2020, 10:57 Rolf Turner, <r.turner at auckland.ac.nz>
wrote:
>
> On Sat, 21 Nov 2020 08:36:45 +0700
> Duncan Williamson <duncanwil at 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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There's a thought. Any suggestions in this case?

Duncan

On Sat, 21 Nov 2020, 22:47 Bert Gunter, <bgunter.4567 at 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 at
gmail.com>
> wrote:
>
>> Thank you, Rolf.
>>
>> I am aware of how to open and read the help files, I searched the web,
>> too.
>> However, as a not so blessed user of R, I don't always understand
what I
>> read.
>>
>> I will do my best with your advice.
>>
>> Duncan
>>
>> On Sat, 21 Nov 2020, 10:57 Rolf Turner, <r.turner at
auckland.ac.nz> wrote:
>>
>> >
>> > On Sat, 21 Nov 2020 08:36:45 +0700
>> > Duncan Williamson <duncanwil at 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
>> >
>> >
>>
>>         [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
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