[R] error loading huge .RData

[Liaw, Andy]

> Hmm. You could be running into some sort of situation where data
> temporarily take up more space in memory than they need to. It does
> sound like a bit of a bug if R can write images that are bigger than
> it can read. Not sure how to proceed though. Does anyone on R-core
> have a similarly big  system and a spare gigabyte of disk? Is it
> possible to create a mock-up of similarly organized data that displays
> the same effect, but takes less than three days?
> 
>  BTW: Did we ever hear what system this is happening on?

Yes, in the original post:
R-1.4.1/Mandrake Linux 7.1 (kernel 2.4.3)
Dual P3-866 Xeon with 2GB RAM and 2GB swap.

Prof. Tierney has been trying to help me off-list.  I monitored the R.bin
process through ktop as Prof. Tierney suggested.  The strange thing is
that the memory usage for the R.bin process would reach nearly 1000MB
and then R just quits with the vector heap exhausted error.

I ran gdb on R, also as Prof. Tierney suggested, and he said that 
malloc was not able to get more memory.  I check ulimit and it says
"unlimited".  Prof. Tierney also suggested running strace, but I haven't
gotten arround to that.

Will keep you folks posted...

Regards,
Andy

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