Date: Wed, 23 Jul 2003 23:11:34 GMT
Reply-To: Arthur Tabachneck <atabachneck@ROGERS.COM>
Sender: "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From: Arthur Tabachneck <atabachneck@ROGERS.COM>
Subject: Re: Reason for transforming variables
Since normality is an assumption of many statistics, and many variables
don't normally have normal distributions (but would if transformed e.g.,
using a square root or log transformation), SAS provides a means for
performing such transformations on the fly.
The key question is whether your data resemble distributions for which such
transformations are applicable (e.g., skewed or Poisson).
"Tomasz" <firstname.lastname@example.org> wrote in message
> Dear SAS-L,
> Working with Enterprise Miner I have found a Variable Transform Node.
> Due to the lack of information on the internet I am posting my
> question on this forum.
> What is the reason for transforming variables into normally
> I think this will affect the results of my analysis. Is it better to
> transform or not. I could not find any paper saying clearly about the
> raesons for transformations, only statments: "it is commonly used..."
> But I wonder why.
> If any of you faced this kind of problem, please let me know your