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Hello, I'm working with the gam function and due to the amount of data I am working with it is taking a long time to run. I looked at the tips to get it to run faster, but none have acceptable side effects. That is the real problem. I have accepted that gam will run a long time. I will be running gam many times for many different models. To make gam useable I am looking at splitting the work

Hello. In the writing of my OCaml-R binding, I'm sort of confused when it comes to the use of the PROTECT and UNPROTECT macros. Basically, I have C stub functions that are in charge of calling R for everything. Here's a simple example: > CAMLprim value r_findvar (value symbol) { > /* The findVar function is defined in envir.c. It looks up a symbol > in an environment.

Hello, again. I'm interested to learn how programmers develop & test C/C++ code with R packages in Linux. I've been reading R source and the manual on Writing R Extensions but there are just a couple of details I can't understand. I wish I could watch over a developer's shoulder to see how people actually do this. I've tested a bit. I am able to take package.tar.gz

Hi everybody, I have been interfacing some C++ library code into an R package but ran into optimization issues specific to memory management that require some insight into the GC. One of the C++ libraries returns simple vectors of integers, doubles and complex which are allocated and managed from the library itself. I cannot know the length of the array beforehand, so I cannot pre-allocate that

Has anybody had issues running MCMC (either BUGS or JAGS) on data sets of this magnitude (ie 30k x 20-30). I've been trying to run a hierarchical random effects model on expression data but R completely stalls out on jobs run on 32bit R on our server (doesn't respond...then eventually crashes out with an exception fault). Would using 64bit R help with JAGS? (As far as I know there's

Hi all, I'm wondering if there is a way to define a destructor function (to free memory) for S4 class objects in analogy to C++? rm() combined with gc() does not seem to be a good idea (Chambers, 2008). So could it be done on the C/C++ level or is it even already available in the "internals"? Many thanks, David [[alternative HTML version deleted]]

Hi, I post this message to the general r-help list hoping anyone within a wider range have suggestions: There are three ways to integration R and postgres, especially on 64bit Microsoft windows Platform, 1. via RODBC package, which has 32 bit and 64 bit version for windows 2. via RPostgres interface, which only has 32bit version currently 3. via plr for Greenplum, which only supports a

I suspect I'm looking in the wrong places, so guidance to the relevant documentation would be as welcome as a little code snippet. I have time series data stored in a MySQL database. There is the usual DATE field, along with a double precision number: there are daily values (including only normal working days: Monday through Friday). I actually have to do a couple things here. Because of

Hello ALL! Some times ago I started to learn and play with Bayesian stuffs. Many advice use of WinBUGS for Bayesian inference Using Gibbs Sampler. However, WinBUGS is discontinued, and now, development is under OpenBUGS. I wasn't lazy, so I installed both and tried out. In more than 90% of cases they give comparable outcome. But in few cases I got substantial differences. Recently, I read nice

Hello R-users, Checking the archives, I recently came across this topic: "export tables to Excel files" (http://r.789695.n4.nabble.com/export-tables-to-Excel-files-td1565679.html#a1565679), and the following interesting references have been proposed: http://rwiki.sciviews.org/doku.php?id=tips:data-io:ms_windows