you can transform the variable x "down the ladder" if it is positive skew (x^0.5,x^ -1...)and "up the ladder" if x is negative skew ( etc, x^2 ,x^3...).
The book "An R and S-PLUS Companion To Applied Regression" has a section to deal with the data transformation.Especiall P109 is about transformation for normality and symmetry. Hope this helps. 2006/4/10, Jian Zhang <[EMAIL PROTECTED]>: > I think it is simply, but I cannot find the method to figure out "skewness". > Thanks! > > [[alternative HTML version deleted]] > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > -- 黄荣贵 Deparment of Sociology Fudan University
______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
