On 17/11/11 05:37, Scott Raynaud wrote:
That might be an option if it weren't my most important predictor.  I'm 
thinking my best bet is to use MLWin for the estimation since it will properly 
set fixed effects
  to 0.  All my other sample size simulation programs use SAS PROC IML which I 
don't have/can't afford.  I like R since it's free, but I can't work around the 
problem
I'm currently having.

This is the ``push every possible button until you get a result and to hell with what anything actually means'' approach to statistics. The probability of getting a
*meaningful* result from this approach is close to zero.

Why don't you try to *understand* what is going on, rather than wildly throwing
every possible piece of software at the problem until one such piece runs?

    cheers,

        Rolf Turner

______________________________________________
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.

Reply via email to