similar to: modifying large R objects in place

Has anyone taken a shot at a Cairo graphics device yet? I half expected to see one on either Paul's pages or Omegahat. :-) --- Byron Ellis (ellis at stat.harvard.edu) "Oook" -- The Librarian

Hi all (especially R-core) I suppose, With the introduction of the new functional programming functions into base I thought I'd ask for a Curry() function. I use a simple one that looks this: Curry = function(FUN,...) { .orig = list(...);function(...) do.call(FUN,c(.orig,list(...))) } This comes in really handy when using say, heatmap():

Greetings R developers, R will run a little faster when executing "pure R" code if the function R_CheckStack() is modified. With the modification, the following code for example runs 15% faster (compared to a virgin R-2.5.1 on my Windows XP machine): N = 1e7 foo <- function(x) { for (i in 1:N) x <- x + 1 x }

Some quick questions about S4 methods. Does the typing of S4 methods mean that lazy evaluation is no longer possible? It seems that you would need to evaluate the arguments to determine their type at dispatch. Second, what role, if any, do default arguments play in S4 methods? I notice that you can put default arguments into generics but that the dispatch is still done on the type of the

> ---------- Forwarded message ---------- > From: Byron Ellis <ellis at stat.harvard.edu> > If we wanted to be truly radical we'd just accept that graphics > devices and event loops are just special cases of the connection and > merge the whole thing, thus more-or-less reinventing CLIM. :-) Eventually, all programming languages grow up and become Lisp. (progress,

Hi, I'm trying to understand (mostly from the R-exts manual) how to use the callbacks declared in Rinterface.h. As a first attempt, I'm trying to redefine ptr_R_WriteConsole in a very trivial manner. Here's my code: --------------- $ cat altr.c int Rf_initialize_R(int ac, char **av); #define R_INTERFACE_PTRS 1 #include <Rinterface.h> extern int R_running_as_main_program;

I have some C data I want to pass back to R opaquely, and then back to C. I understand external pointers are the way to do so. I'm trying to find how they interact with garbage collection and object lifetime, and what I need to do so that the memory lives until the calling R process ends. Could anyone give me some pointers? I haven't found much documentation. An earlier message

Hi, 1. I started work on a metapost graphics driver a week or so ago and it is gradually taking shape. I'm building up my own test cases into a script as I go, but figured you may have a "canonical testing script" of cases a driver must handle? 2. The clipping function looks like being a tricky problem. It seems to me that the callers of the driver assume that clipping affects all

Hello, I like much addTaskCallback() and friends. However, there are situations were we would like to have a function run BEFORE, not after every top-level tasks. I think specifically to reset options(width = ) to accommodate to the current width of the console, using something like: options(width = system("tput cols")) I am sure there are many other situations where this could be

Hi For all developers of add-on graphics devices: please note the existence of deviceIsInteractive() for adding your device to the list of devices for which dev.interactive() returns TRUE. (Available since R 2.6.0; thanks to Brian Ripley I think) Paul -- Dr Paul Murrell Department of Statistics The University of Auckland Private Bag 92019 Auckland New Zealand 64 9 3737599 x85392 paul at

I'm probably not the first with this idea so I guess that there's a complex issue behind it but since I couldn't find an answer I just though to ask: Wouldn't it be nice to have color coded objects as output of ls() statement? Functions of one color and rest with other (at least). So when I issue an ls() I could visually discern different types of objects. I often find myself

Hi All, My problem is about parallel execution of R-scripts. My platform is linux. A program that is written in C needs to execute multiple R-scripts simultaneously. The C program makes use of multi-threading. Each thread must initiate the execution of one script. Performance is very important. Appearantly the R C-API does not provide a mechanism for parallel execution.. It is preferred

Byron, I just read your blog (statcomp.blogspot.com, linked from your other post) and rand across your idea of an R/Flash graphics device. I've also been giving this some thought because of this amazing interactive flash app: http://tools.google.com/gapminder and others from http://www.gapminder.org/. I would love more than anything to work on this. The only hitch is that I'm so

Hi, It seems that R_do_slot_assign can change the type of an S4 class slot. For example I have a class setClass("ostream", representation(id = "integer", keepOpen = "logical")) and inside a C-function I was able to assign a RAW vector to the id slot. Is this intentional? I remember reading somewhere that the slot type is guaranteed by R. Maybe this doesn't

As others already mentioned, in your example you are first creating an integer matrix and the coercing it to a double matrix by assigning (double) 1 to element [1,1]. However, even when correcting for this mistake, there is an extra copy created when using matrix(). Try this in a fresh vanilla R session: > print(gc()) used (Mb) gc trigger (Mb) max used (Mb) Ncells 136684 3.7

After getting one list done, I am now struggling to form a data frame in C. I tried to do a list of lists which gives me : $<NA> $<NA>[[1]] [1] "BID" $<NA>[[2]] [1] 0.6718 $<NA>[[3]] [1] 3e+06 $<NA> $<NA>[[1]] [1] "BID" $<NA>[[2]] [1] 0.6717 $<NA>[[3]] [1] 5e+06 $<NA> $<NA>[[1]] [1] "BID"

Could it be possible for packages to have manuals in multiple languages? I'm not saying all manuals should be in multiple languages, but I think there should be a mechanism for package writers to add manuals in multiple languages, if they think it useful. -- Peter Kleiweg

Hello folks, I'm embarking on a project to embed R into the Apache web server, and I'd like your help. Currently, I'm looking for a way for R code to call back into a shared library from which the R shared library was loaded. Essentially, apache starts and loads mod_R.so which runs an initialization routine which calls Rf_initEmbeddedR() and the following code: /* override to

Dear R Developers, A recommendation for future development. It would help if R scripts could be compiled into an executable, or a library. Speed is the main issue (I run a large scale monte carlo in R which is very slow). However, it would also make it easier to link R into other applications, easier at least than the COM infrastructure under Windows. Finally, it would make it much easier to

Dear all, does anyone know if there exists an effort to bring some kind of distributed computing to R? The most simple functionality I'm after is to be able to explicitly perform a task on a computing server. Sorry if this is a non-informed newbie question... Best regards Anders Sj?gren PhD Student Dept. of Mathematical Statistics Chalmers University of Technology Gothenburg, Sweden