Re: [Rd] Custom per-package options passed down via library() ?

2007-02-19 Thread Prof Brian Ripley
Some packages have their own option-like mechanism, e.g. sm. Others use environment variables for this purpose. And there are userhooks for .First.lib, .onLoad and .onAttach that could be exploited. In the Hmisc case, you are talking about messages, I believe. You can handle those via message c

Re: [Rd] "try"ing to understand condition handling

2007-02-19 Thread Prof Brian Ripley
Since you have not told us what 'the documents' are (and only vaguely named one), do you not think your own documentation is inadequate? There are documents about the condition system on developer.r-project.org: please consult them. I quess 'ctl-C' is your private abbreviation for 'control C' (

[Rd] Using GPUs for computation

2007-02-19 Thread Rod Montgomery
> Douglas Bates wrote on Tue 24 Jan 2006 - 14:38:46 GMT: > [snip] > More seriously, the approach to speeding up model fitting that has been most > successful to date is to speed up the BLAS > (Basic Linear Algebra Subroutines), especially the Level-3 BLAS. The bulk of > the computation in the M

[Rd] Custom per-package options passed down via library() ?

2007-02-19 Thread Dirk Eddelbuettel
I want to load an in-house library 'differently' in a particular context and, to achieve this, would like to govern the behaviour of its .onLoad() function. In a related context, Frank Harrell and I have been wondering on and off about how to tell Hmisc to be less verbose in certain situations.

[Rd] "try"ing to understand condition handling

2007-02-19 Thread Ross Boylan
I'm confused by the page documenting tryCatch and friends. I think it describes 3 separate mechanisms: tryCatch (in which control returns to the invoking tryCatch), withCallHandlers (in which control goes up to the calling handler/s but then continues from the point at which signalCondition() was

[Rd] OT: suggestions for a 64-bit server / cluster

2007-02-19 Thread Tamas K Papp
Hi, Our department has finally decided to get a powerful server (or maybe a cluster) for computationally intensive jobs. I will mainly run R and Matlab, on Linux. We are currently in the process of deciding what kind of hardware to get, so I would like to ask for suggestions from those who have