[R] package installtion

Scott Raynaud scott.raynaud at yahoo.com
Thu Nov 17 19:38:59 CET 2011

See my responses in brackets below.

----- Original Message -----
From: Rolf Turner <rolf.turner at xtra.co.nz>
To: Scott Raynaud <scott.raynaud at yahoo.com>
Cc: "r-help at r-project.org" <r-help at 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?


        Rolf Turner

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