there are so many ways to categorize the continuous variable in practice, such as knowledge-based, percentile-based, or model-based (i.e. regression tree).
On Wed, Sep 16, 2009 at 9:41 PM, Manli Yan <manliyanrh...@gmail.com> wrote: > assume dependent variable y( continuous),independent variable x ( > continuous),I try to categorize x with some interval,such that,those > intervals would has most significant different effect on y. > any one knows which method I should apply,I know it will cause the loss > of information,but can I really do that?or by using what mehod ,I will keep > the loss minimal,all I want just some key words,thanks in advance~ > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- ============================== WenSui Liu Blog : statcompute.spaces.live.com Tough Times Never Last. But Tough People Do. - Robert Schuller ============================== [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
