[R] New to R

[Bert Gunter]

I usually try google searches first. While not always successful, I am
frequently surprised by how well it does.

I strongly second the use of CRAN task views. IMHO, some fine folks
have volunteered their time and efforts to produce this very well
written series of guides to what's in R. It and they deserve greater
recognition.

-- Bert

On Mon, May 14, 2012 at 9:32 AM, David L Carlson <dcarlson at tamu.edu> wrote:
> You will find functions such as these in the thousands of packages that are
> available once you have installed R. You can use rseek.org to search for
> specific topics. Good overviews are found in the CRAN Task Views (from the
> main R webpage, click on CRAN, select a mirror host, and then select Task
> Views from the list on the left.
>
> ----------------------------------------------
> David L Carlson
> Associate Professor of Anthropology
> Texas A&M University
> College Station, TX 77843-4352
>
>
>> -----Original Message-----
>> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
>> project.org] On Behalf Of Ronald McDowell
>> Sent: Monday, May 14, 2012 6:51 AM
>> To: r-help at r-project.org
>> Subject: [R] New to R
>>
>> I am new to R and starting to explore its functionality. I wondered if
>> anyone could advise whether R supports non-linear canonical correlation
>> and/or the specification of models using alternating least squares?
>>
>> Thanks
>> Ron
>>
>>
>>       [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help at r-project.org mailing list
>> 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.
>
> ______________________________________________
> R-help at r-project.org mailing list
> 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.



-- 

Bert Gunter
Genentech Nonclinical Biostatistics

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