On 27 Márta 2007, at 11:35, Arin Basu wrote:
> I agree with Ronan's suggestions; however, I'd like to add that if you
> are familiar with R for statistical computing (if not, why not visit
> http://www.r-project.org ), use the rmeta package for R for
> statistical computing. It's very powerful, easy and free to download,
> modify, share, and use.
> R, of course, is freely downloadable.
I have to say that many people find getting started with R to be a
difficult process. I was delighted to discover the R Wiki, which is
very helpful indeed. You will find it here
Unfortunately, the R discussion list cannot be recommended to people
who are not R geeks and have hides like rhinoceroi to boot.
And, as Arin points out, it's free and very powerful. I don't know
what other platforms are like, but the Mac interface has also made
great strides in terms of making the package less intimidating. And
the 'foreign' package has made the process of getting data into R
from other statistical packages far less trouble than it used to be.
Royal College of Surgeons in Ireland
[log in to unmask]
+353 (0) 1 402 2431
+353 (0) 87 799 97 95