do you want to use the dataset as it is? if not, it might be better save the
data into a database, such as sqlite, and then odbc to it? Then you can use
sql to only fetch the data you want for analysis.

On 2/14/06, Christian Bieli <christian.bieli@unibas.ch> wrote:
>
> Dear all
>
> I imported a Stata .dta file with the read.dta-function from the
> foreign-package. The dataframe's dimensions are
>
> > dim(d.apc)
> [1] 15806  1300
>
> Importing needs up to 15 min and calculations with these data are rather
> slow  (although I subset the data before starting analyses).
>
> My questions are:
> 1. Has someone experiences importing Stata files (alternatives to
> read.dta) ?
> 2. To my knowledge R should not have problems handling dataframes of
> this size. Is there something I can do after importing that makes data
> handling faster?
>
> My hardware is up-to-date (Intel P4, 3 Ghz, 1 GB RAM) and I work on a
> Windows XP platform.
> I am working on a Windows XP platform with R version 2.1 (all packages
> updated).
>
> Thanks for your answers.
> Christian
>
> --
> Christian Bieli, project assistant
> Institute of Social and Preventive Medicine
> University of Basel, Switzerland
> Steinengraben 49
> CH-4051 Basel
> Tel.: +41 61 270 22 12
> Fax:  +41 61 270 22 25
> christian.bieli@unibas.ch
> www.unibas.ch/ispmbs
>
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>



--
WenSui Liu
(http://statcompute.blogspot.com)
Senior Decision Support Analyst
Health Policy and Clinical Effectiveness
Cincinnati Children Hospital Medical Center

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