[R] draft of Comment on UCLA tech report

[Robert Duval]

Being a Stata user in transition to R I have to say that it would be
fair to mention that data handling for large amounts of data might
take an extra step in R.

I understand that there are good reasons for R consuming more memory
(than Stata) when handling large datasets, but it is necessary to warn
the potential newcomers that they might require using MySQL or other
database managers if they use large datasets.

greetings
robert

On 1/27/06, Patrick Burns <pburns at pburns.seanet.com> wrote:
> You may  recall that there was a discussion of a technical
> report from the statistical consulting group at UCLA.
>
> I have a draft of a comment on that report, which you
> can get from
> http://www.burns-stat.com/pages/Flotsam/uclaRcomment_draft1.pdf
>
> I'm interested in comments: corrections, additions, deletions.
>
> Patrick Burns
> patrick at burns-stat.com
> +44 (0)20 8525 0696
> http://www.burns-stat.com
> (home of S Poetry and "A Guide for the Unwilling S User")
>
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