Each commercial package may be able to claim that it is better for some particular purpose, e.g., SAS and the latest release of S-Plus with large data bases. Minitab, SPSS, JMP and others may have an easier to use graphical user interface for naive users, although even that superiority is being challenged.
R has been changing and improving so fast that it is difficult for any of the commercial alternatives to keep up. There are several reasons for this. First, R is easily extended. Second, the R Foundatation for Statistical Computing has provided a supportive organizational framework that makes it easy for people to share. Third, there are hundreds and perhaps thousands of competent professionals the world over who have been frustrated in the past by the steep price of commercial software for many things, and R provides a shockingly easy and open alternative that helps people share their latest developments with the entire world in a way that replaces that frustration with the pride of contributing to something incredibly useful.
Best Wishes, spencer graves
Kjetil Brinchmann Halvorsen wrote:
rene.raupp wrote:
Does anybory knows any work comparing R with other (charged) statistical softwares (like Minitab, SPSS, SAS)?
I work in a brasilian government bureau and I intend to use R as our preferable statistical software, but I have to show it's as good as the others.
Sorry. That will be difficult. Could'nt it do to prove it is better?
Kjetil
I also intend to use Weka, and for this one I have the same problem. Can anyone help me? Thanks René M. Raupp e-mail: [EMAIL PROTECTED] [EMAIL PROTECTED]
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