See my responses in brackets below.

 
----- Original Message -----
From: Rolf Turner <rolf.tur...@xtra.co.nz>
To: Scott Raynaud <scott.rayn...@yahoo.com>
Cc: "r-help@r-project.org" <r-help@r-project.org>
Sent: Wednesday, November 16, 2011 6:04 PM
Subject: Re: [R] package installtion

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 [Well, I'm simply echoing the 
simulation 
software instructions in planning to use MLWin.  I assume the approach is 
validated.  In
the meantime, I'd like to have a deeper understanding of why R isn't working.  
I have a 
hunch, but don''t know how to confirm it].  The probability of getting a
*meaningful* result from this approach is close to zero [You're most certainly 
right if
there is no sound rationale behind the method.  In this case there is and the 
probability is 
much higher than you state.  That's not to say I haven't made an error 
somewhere. Maybe 
further investigation of sort I endeavor to pursue will reveal that].

Why don't you try to *understand* what is going on [Precisely what I'm trying 
to do.  
However, I need help which I hope I can find here.], rather than wildly throwing
every possible piece of software at the problem  [It's not wildly throwing 
every piece of 
software at the problem.  It's simply a matter of understanding what works and 
what doesn't]
 until one such piece runs?

    cheers,

        Rolf Turner


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