search for: matloff

...n, the second and third features require the vim-r plugin for Vim. Emacs/ESS users should easily be able to convert the code; some of the machinery is already in the code and in the instructions below. I'm placing the current version of the package at: http://heather.cs.ucdavis.edu/~matloff/R/edtdbg/edtdbg.tar.gz http://heather.cs.ucdavis.edu/~matloff/R/edtdbg/edtdbg.zip Please give me your comments. I probably will upload to CRAN at some point, possibly after an ESS guru contributes the ESS code. :-) A note on my Rdsm package for parallel R: The new, much improved version is jus...

...g tool, debugR, available at http://heather.cs.ucdavis.edu/debugR.html This basically replaces my edtdbg, which I will no longer be supporting. The new tool is now decoupled from one's text editor, and has a lot more features than edtdbg did. Try it! Feedback is encouraged, of course. Norm Matloff

...chine, it may be faster than Rdsm for some applications, given its direct use of bare shared memory; typically, though, they should provide similar performance in such contexts. By the way, I have a prototype of an infrastructure package to facilitate using bigmemory as a parallel R engine. Norm Matloff University of California, Davis

Hi all, I am looking for a function similar to mclapply() that would work with GPU cores. I have looked at all possible packages related to GPU computing but they are mainly providing functionality for big dataset or big matrices. I use mainly mclapply to speed up simulations by running several simulations in parallel, which works nicely. Is it possible to do the same with a multicore GPU? I

...quot; "grDevices" "datasets" "tcltk" "utils" [7] "methods" "base" other attached packages: debug mvbutils "1.1.0" "1.1.1" Any suggestions anyone might have would be highly appreciated. Norm Matloff

...ing a package that I call Rdsm ("R distributed shared memory"), modeled after a similar package, PerlDSM, I wrote for Perl some years ago. It is now in alpha form, so I'm not uploading to CRAN yet, but it is definitely usable, and I am releasing it at http://heather.cs.ucdavis.edu/~matloff/R/Rdsm I hope many try it out, and give me some feedback. Note that the word "distributed" here means that the memory is not really shared, but instead is an abstraction, to give the programmer a shared-memory view even though the program may be running on several separate machines. Fo...

...s: Turn debugging on or off for several functions at once. The current version is for Vim with vim-r only. I did write an Emacs/ESS version, but it started to hang mysteriously, so I am releasing the Vim/vim-r version only. The package is downloadable at http://heather.cs.ucdavis.edu/~matloff/R/edtdbg/edtdbg.zip I'd like to thank Jakson and Duncan M. for some useful e-mail exchanges. Now that this "digression" is done, I can get back to finishing my Rdsm parallel R package and uploading it to CRAN. (Not sure whether edtdbg is appropriate for CRAN?) Norm Matloff

I have a question about reference classes, which someone here undoubtedly can answer immediately, saving me hours of wading through indecipherable internal code. :-) Thanks in advance. Reference class data is mutable, fine, but in what sense? Is it really physical, or is it just a view given to the programmer? If for instance I have vector as a field in a reference class, and I change one

Hello all, A friend recently brought to my attention that vector assignment actually recreates the entire vector on which the assignment is performed. So for example, the code: x[10]<- NA # The original call (short version) Is really doing this: x<- replace(x, list=10, values=NA) # The original call (long version) # assigning a whole new vector to x Which is actually doing this: x<-

...k to the same memory address. I seem to recall reading somewhere that recent R versions make some attempt to avoid rewriting the entire vector, and my timing experiments seem to suggest that it's true. So, is a full rewrite avoided? And where in the source code is this done? Thanks. Norm Matloff

Hi all, I have a multiple queing situation I'd like to simulate to get some idea of the distributions - waiting times and allocations etc. Does R has a package available for this - many years ago there used to be a language called "simscript" for discrete event simulation and I was wondering if R has an equivalent (or hopefully with graphics, something better!). Apologies if there

I appreciate the well-thought-out comments. To your first point, I am not sure what "glattering" means precisely (a Google search revealed nothing useful), but I assume it means something to the effect of overfilling the main namespace with too many names. Per Norm Matloff's counterpoint in The Art of R Programming regarding this issue, this is mostly avoided by well-defined, (sufficiently) long names. Also, when a program is properly modularized, one generally wouldn't have this many objects at the same time unless the complexity of a program demands it. You...

...te(1 + - %num% "5") > > #> 1 + -(`%num%`("5")) > > > 1 + - %num% "5" > > #> [1] -4 > > > Jim > > I'm sorry to be a bit of a spoiler to "coolness", but > you may know that I like to applaud Norm Matloff for his book > title "The Art of R Programming", > because for me good code should also be beautiful to some extent. > > I really very much prefer > > f(x) > to %f% x > > and hence I really really really cannot see why anybody would prefer > the ugl...

Gabe, The unary functions have the same precedence as normal SPECIALS (although the new unary forms take precedence over binary SPECIALS). So they are lower precedence than unary + and -. Yes, both of your examples are valid with this patch, here are the results and quoted forms to see the precedence. `%chr%` <- function(x) as.character(x) `%identical%` <- function(x, y)

After a long delay, the issue was put online on Wednesday evening. As noted in the editorial, we are taking measures to help ensure that future issues will be more timely. Norm Matloff [[alternative HTML version deleted]] _______________________________________________ R-announce at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-announce

After a long delay, the issue was put online on Wednesday evening. As noted in the editorial, we are taking measures to help ensure that future issues will be more timely. Norm Matloff [[alternative HTML version deleted]] _______________________________________________ R-announce at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-announce

...ill be extending Rdsm with functions that give it the "look and feel" of OpenMP. I have an an alpha version of Rdsm ready, and will be releasing it in the next day or two (on my own Web page for now, not yet on CRAN) in an announcement here. User feedback will be much appreciated. Norm Matloff UC Davis

Dear all, I have a matrix X which consists of 2 columns. I would like to convert this matrix into a list where every entry of the list consists of a single row of the matrix. Does anyone have a suggestions how to manage this? Thank you for your efforts in advance! Best, Martin [[alternative HTML version deleted]]

...ot;) Since I intend to use really "inhomgenous" clusters, I followed the respective instructions given on http://www.stat.uiowa.edu/~luke/R/cluster/cluster.html#Section:InhomogeneousSystems. I also tried the modifications to RSOCKnode.sh proposed in http://heather.cs.ucdavis.edu/~matloff/R/RProg.pdf - no different behaviour. I'd appreciate any comments that help me in getting an incomogenous cluster running without the need of MPI or PVM. Thanks in advance. Till Francke Dept. for Geoecology University of Potsdam --

...not be expected to give the same or even similar results. But, worse than that, many point out that p-values tend not to be answering ANY question of practical interest. It's a shame that the use of p-values is so entrenched. I can expand on this, with references, if there is interest. Norm Matloff Professor of Computer Science (formerly Statistics) University of California, Davis