From bates@stat.wisc.edu  Thu Feb 26 15:57:57 1998
From: bates@stat.wisc.edu (Douglas Bates)
Date: 26 Feb 1998 09:57:57 -0600
Subject: Representation of data in libraries
In-Reply-To: Martin Maechler's message of Wed, 25 Feb 1998 08:34:03 +0100
References: <199802250734.IAA03015@sophie.ethz.ch>
Message-ID: <6rafbewe7u.fsf@verdi.stat.wisc.edu>

Martin Maechler <maechler@stat.math.ethz.ch> writes:

> On the other hand: does it really make sense to distribute huge example
> data sets as yours above?

The purpose of this example is to show that the lme methods work with
very large data sets.  These data are from a survey conducted by a
sociologist.  He fit a mixed-effects model to them using SAS PROC
MIXED.  It took five hours of cpu time on a relatively fast machine
(Pentium II 233 MHz, 64 Mb memory).  Once I decide what the model he
used is in our notation, I will try it in lme.  I am confident we
can do it much faster.

I decide to omit this data set from the standard distribution for lme
although the way that data sets are organized in R there is not much
penalty other than the disc space for including large examples that
are rarely used.

Following Thomas's suggestion of increasing the -n as well as the -v
option I was able to read the data in with its current form.

-- 
Douglas Bates                            bates@stat.wisc.edu
Statistics Department                    608/262-2598
University of Wisconsin - Madison        http://www.stat.wisc.edu/~bates/
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Representation of data in libraries
Douglas Bates