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.berton@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 <torvon@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]]
> >
> > ______________________________________________
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> > 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
>

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