"Simon" == Simon Fear <fears at roycastle.liv.ac.uk> writes:
.....
2) Start Splus using your cleaned .Data directory. If you got any output
or warnings from your .First(), or perhaps best anyway, use
rm(last.warning,last.dump,.Last.value). Then immediately issue the
command dump(objects(),file='myfile').
3) In R, > source('myfile')
This won't work for LARGE data sets, say a matrix of object.size() greater than 1 MB, or for large lists, etc. In R source will need far too many cons cells, and, porting data from R to S, source will generate memory leaks in the S process. Does anyone have an idea how to solve this task: porting large and possibly structured data from R to S and vice versa? regards -- Dr. Joerg Kindermann GMD - AiS German National Research Center for Information Technology Schloss Birlinghoven, D-53754 St. Augustin, Germany phone: +49 02241 142437 fax: +49 02241 142342 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._