?confint -- Bert
On Wed, Nov 21, 2012 at 3:55 PM, Torvon <tor...@gmail.com> wrote: > Bert, > > Please excuse me, and let me rephrase: > > How do I obtain the confidence intervals of the _standardized_ beta weights > for predictors in a linear regression in R? > > Thank you. > Torvon > > > On 21 November 2012 16:10, Bert Gunter <gunter.ber...@gene.com> wrote: >> >> 1. This is a statistics, not an R, question. Post on a statistics >> list, like stats.stackexchange.com >> >> Also... >> >> On Wed, Nov 21, 2012 at 12:39 PM, Torvon <tor...@gmail.com> wrote: >> > I run 9 WLS regressions in R, with 7 predictors each. >> > >> > What I want to do now is compare: >> > (1) The strength of predictors within each model (assuming all >> > predictors >> > are significant). That is, I want to say whether x1 is stronger than x2, >> > and also say whether it is **significantly stronger.** >> >> -- I have no idea what this means, though perhaps it is defined >> somewhere and in some way that I am not familiar with. When you post >> to a stats list, I suggest you provide a reference so the folks there >> know what you mean by this. >> >> -- Bert >> >> I compare strength by >> > simply comparing standardized beta weights, correct? How do I compare if >> > one predictor is significantly stronger than the others? I thought about >> > comparing confidence intervals, but if I understand correctly the >> > confidence intervals are calculated from the unstandardized beta >> > weights, >> > which in this case would not help me, correct? >> > (2) The strength of the same predictor over different models. I want to >> > say >> > whether x1 affects y1 - y9 equally strong or not. How would I do this? >> > >> > I hope that I provided all information that is needed. >> > Thank you >> > T >> > >> > [[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. >> >> >> >> -- >> >> Bert Gunter >> Genentech Nonclinical Biostatistics >> >> Internal Contact Info: >> Phone: 467-7374 >> Website: >> >> http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm > > -- Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm ______________________________________________ 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.
