[R] import data from splus

[David James]

hi,

I have a somewhat similar problem.  I also need to move huge, somewhat
complicated objects from Splus5 to R.  I need data.restore() in R 
(in my case it should be S4/Splus5 aware).

I took a quick look at the Rstream manual, but I didn't see anything that
I could easily use/modify for this problem (right?).

Is there something out there I could use, or will data.dump()/data.restore()
need to be written for R? (BTW I think this is not an R issue per se, but
rather an R-S interface issue -- it is a fact that most of my collaborators
use Splus.)

For the record,
> version
         _                           
platform i686-pc-linux-gnu           
arch     i686                        
os       linux-gnu                   
system   i686, linux-gnu             
status   Under development (unstable)
major    1                           
minor    2.0                         
year     2000                        
month    11                          
day      08                          
language R                           
> 

David A. James
Statistics Research, Room 2C-253            Phone:  (908) 582-3082       
Bell Labs, Lucent Technologies              Fax:    (908) 582-3340
Murray Hill, NJ 09794-0636



------------- Begin Forwarded Message -------------

> Date: Tue, 14 Nov 2000 07:22:09 +0000 (GMT)
> > : ximing <ximing at are.berkeley.edu>
cc: r-help at stat.math.ethz.ch
Subject: Re: [R] import data from splus
MIME-Version: 1.0

On Mon, 13 Nov 2000, ximing wrote:

> anybody knows how to import data into R from splus directly? I have a huge 
> amount of data in splus format, which will cost forever for me to transform 
> the data back to ascii or something else and then read them into R.

If that really will cost forever, then I think any route will take a long
time (and perhaps let that be a lesson not to store data in a proprietary
format).

You may find that the function readSdata in package Rstreams helps.
The normal route is to dump in S-PLUS and source in R.

-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272860 (secr)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595


------------- End Forwarded Message -------------



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