[R] SQL implementations (was: Are you experienced in SAS and R ...)

[Vadim Ogranovich]

Dear R-users,

I am very much looking forward to the day when R will be able to handle very
large datasets. I however thought that getting there would be rather
difficult as most of the models are written assuming random access to the
data.

This makes me wonder how an embedded database mentioned by Duncan Temple
Lang (or R imbedded in the database) could help?

A related question. Prof. Ripley mentioned few times that one of his
approaches is to generate random samples from databases, which are then
analyzed in R (one doesn't need any sort of embedding for this). Are there
other techniques?

Thanks, Vadim

-----Original Message-----
From: Duncan Temple Lang [mailto:duncan at research.bell-labs.com]
Sent: Friday, November 23, 2001 3:19 PM
To: Douglas Bates
Cc: r-help at stat.math.ethz.ch
Subject: Re: [R] SQL implementations (was: Are you experienced in SAS
and R ...)


...

Personally, I think that as this sort of embedding within
sophisticated and well-tuned database management systems becomes more
secure and stable, we will be able to handle significantly larger
datasets with R code.

...

 Duncan

-- 
_______________________________________________________________

Duncan Temple Lang                duncan at research.bell-labs.com
Bell Labs, Lucent Technologies    office: (908)582-3217
700 Mountain Avenue, Room 2C-259  fax:    (908)582-3340
Murray Hill, NJ  07974-2070       
         http://cm.bell-labs.com/stat/duncan
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