Re: [R-SIG-Mac] X11 on Macintosh Tiger 10.4.11 not responding properly for R Commander, I think

2009-03-24 Thread John Fox
Dear DHines, It looks to me as if there's some problem with your X11 installation. What happens if you try to start X11 independently of R -- e.g., by entering xterm in a (bash) terminal? I'm copying this response to Rob Goedman since he's much more knowledgeable about these matters than I am. I

Re: [R-SIG-Mac] Mac GUI for 2.9.0 alpha and Rgraphviz

2009-03-24 Thread William Revelle
Simon and Kasper, I have gotten around the problem of the broken entry points by directly installing source files by source(http://bioconductor.org/biocLite.R;) biocLite(graph) and biocLite(Rgraphviz). Now, everything works like a charm (again). As I am sure you know, there is still a

[R-SIG-Mac] Is R more heavy on memory or processor?

2009-03-24 Thread Booman, M
Dear all, I am going to purchase a Power Mac (a new one, with Nehalem processor) for my R-based microarray analyses. I use mainly Bioconductor packages, and a typical dataset would consist of 50 microarrays with 40,000 datapoints each. To make the right choice of processor and memory, I have

Re: [R-SIG-Mac] Is R more heavy on memory or processor?

2009-03-24 Thread Dan Putler
Hi Marije, Personally, I would be more concerned with memory than processor. Running out of memory can be an unpleasant surprise. Base R uses a single core, but Simon Urbanek's multicore package (the most recent version of which, 0.1-3, is dated today) does allow you to use multiple cores at

Re: [R-SIG-Mac] Mac GUI for 2.9.0 alpha and Rgraphviz

2009-03-24 Thread Simon Urbanek
On Mar 24, 2009, at 13:42 , William Revelle wrote: Simon and Kasper, I have gotten around the problem of the broken entry points by directly installing source files by source(http://bioconductor.org/biocLite.R;) biocLite(graph) and biocLite(Rgraphviz). Now, everything works like a

Re: [R-SIG-Mac] Is R more heavy on memory or processor?

2009-03-24 Thread Steven McKinney
I agree with Dan, memory will often be the limiting factor. I added RAM (16GB total) to my ppc and have had a much more productive environment, both for 32 bit and 64 bit applications. Even if a single R session cannot benefit from multiple cores, if you can break your processes into parallel

Re: [R-SIG-Mac] Is R more heavy on memory or processor?

2009-03-24 Thread Simon Urbanek
On Mar 24, 2009, at 14:55 , Booman, M wrote: Dear all, I am going to purchase a Power Mac (a new one, with Nehalem processor) for my R-based microarray analyses. I use mainly Bioconductor packages, and a typical dataset would consist of 50 microarrays with 40,000 datapoints each. To

Re: [R-SIG-Mac] Is R more heavy on memory or processor?

2009-03-24 Thread Booman, M
Dear Simon, Steven and Dan, Thank you very much for your replies. I will look for an 'old' 8-core so I'll have some memory left for a memory expansion (it's for work and there is only $4000 CAD in the budget at the moment), or if I can't find an old one I'll get a new 8-core with as much