Please don't cross-post to multiple lists. There is a Posting Guide mentioned
in the footer that you probably won't see because you are using Nabble. It
would have informed you that the R-devel mailing list was for people interested
in modifying R, definitely not this topic.
As to your question, Revolution R would probably be overkill, and if you chose
to go that route then asking the Revolution R support people for help would be
appropriate. This list is for the open source R software that RR builds on.
Your problem statement suggests you already know the weights... in which case
this is a straightforward linear algebra calculation that is trivial in R.
But your question mentions selecting statistics methods, which is not on topic
here in the R-help mailing list, since methods are independent of the software
used to apply them. If you know what methods you want to apply, and have read
the introductory R documentation, then this is an appropriate place to ask for
help on how to apply R to your problem. If that is the case, then DO read the
Posting Guide and try again with some example data and if possible some sample
results you expect to get. We can then show you how to connect the dots using R.
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Sent from my phone. Please excuse my brevity.
On February 2, 2015 10:14:28 PM PST, Lalitha Kristipati
<lalitha.kristip...@techmahindra.com> wrote:
>Hi,
>
>
>
>In our data we have 10 people with 10 different attributes , we want to
>rank the people based on the weightage of these attributes.
>
>Suggest the best statistical method to do this.
>
>Does Revolution R solves my problem??
>
>
>
>Regards,
>Lalitha Kristipati
>Associate Software Engineer
>
>
>
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>______________________________________________
>R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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>PLEASE do read the posting guide
>http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
