ntario
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>http://socserv.mcmaster.ca/jfox
>
>
> > -Original Message-
> > From: [EMAIL PROTECTED]
> > [mailto:[EMAIL PROTECTED] On Behalf Of Pedro de Barros
> > Sent: Wednesday, November 09
ote:
>Dear Pedro,
>
>
> > -Original Message-
> > From: [EMAIL PROTECTED]
> > [mailto:[EMAIL PROTECTED] On Behalf Of Pedro de Barros
> > Sent: Tuesday, November 08, 2005 9:47 AM
> > To: r-help@stat.math.ethz.ch
> > Subject: [R] Interpretation of outp
I am fitting a logistic model to binary data. The response variable is a
factor (0 or 1) and all predictors are continuous variables. The main
predictor is LT (I expect a logistic relation between LT and the
probability of being mature) and the other are variables I expect to modify
this relati
ne of them, how can I create a
>matrix C that is the composite of the replicated A with B.
>
>thank you again.
>
>On 7/20/05, Pedro de Barros <[EMAIL PROTECTED]> wrote:
> > Please clarify:
> > Is there a column of common values that you want to use to merge the two
Please clarify:
Is there a column of common values that you want to use to merge the two
matrices together? Or do you just want to replicate matrix A enough times
to have the same number of rows as B? I could think this was the case, but
16063 is not a multiple of 217.
Anyway, you will have to c
case. This should
consider all main effects, but no interaction.
I would really appreciate any pointer to a solution of this problem. I
believe it is not complicated (and probably quite obvious) but the solution
keeps out of reach, even though I have been searching for over a week.
Thanks,
Pedro
