In a nutshell, R gives you nothing that you do not know how to ask for, SAS gives you lots for asking for very little but it will seem like nothing unless you know what to look for. The advantage to an open source project that people are actually working on is that people don't suffer glaring inefficiencies very long. For example at the time of the plubishing a book called MASS noted that an operation took 15 minutes under Splus while it only took 90 seconds under R. There is no reason to use SPlus ahead of R unless you are in or preparing for a specific job or someone else is paying the bills. R has more support at this point from the intellectual community. Replace it with SPSS and link R and S for a new list. As a statistics tool it would be the primary tool of only applied mathematicians involved primairly in modeling and secondly statistics. ![]() ![]() Heres my sense, not from experience, from parroting what I have heard.
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