similar to: On R performance

In R 2.6.1, a couple of places (discovered using valgrind) where the requested size of string buffers fails to account correctly for the trailing null byte: 1. In src/appl/strsignif.c, 'f0' and 'form' at l. 108-9 each need at least 1 extra byte. 2. In src/main/util.c, 'out' at l. 1081 needs at least one extra byte. (Remember that the return value of strlen does not

Hello, I am writing an R interface for one of my C++ programs. The computations in C++ are very time consuming (several hours), so the user needs to be able to interrupt them. Currently, the only way I found to do so is calling R_CheckUserInterrupt() frequently. Unfortunately, there are several problems with that: 1. Calling R_CheckUserInterrupt() interrupts immediately, so I have no

Hi, Please consider the following : x = c(1,3,NA,5) y = c(2,NA,4,1) min(x,y,na.rm=TRUE) # ok [1] 1 max(x,y,na.rm=TRUE) # ok [1] 5 sum(x,y,na.rm=TRUE) # ok [1] 16 pmin(x,y,na.rm=TRUE) # ok [1] 1 3 4 1 pmax(x,y,na.rm=TRUE) # ok [1] 2 3 4 5 psum(x,y,na.rm=TRUE) [1] 3 3 4 6 # expected result Error: could not find function "psum" # actual result

Fellipe, CXXR development has moved to github, and we haven't fixed up the build for using git yet. Could you send a pull request with your change to the repo at https://github.com/cxxr-devel/cxxr/? Also, this patch may be useful for pqR too. https://github.com/radfordneal/pqR Thanks On Mon, Jan 19, 2015 at 2:35 PM, Dirk Eddelbuettel <edd at debian.org> wrote: > > On 19

In building R 2.6.2 from source for Mac OS X 2.5.1 (with i686-apple-darwin9-gcc-4.0.1), 'make check' fails. The failure is in reg-plot.R, and occurs because Mac OS X's 'tr' command (invoked by Rdiff to strip carriage returns) regards the dagger sign in reg-plot.ps as an illegal byte sequence. I'm surprised that this doesn't seem to have been reported before, but it

At around line 2590, in function gridRect() in src/library/grid/src/grid.c (at the latest svn revision, 50745), ought not temp, www and hhh to be PROTECTed within this block? Andrew

I received the following note this AM. The problem is, I'm not quite sure how to fix it. Can one use PROTECT(coxlist(eval(PROTECT.... , do I create an intermediate variable, or otherwise? I'm willing to update the code if someone will give me a pointer to the right documentation. This particular chunk was written when there was a lot of change going on in the callback mechanism and

On 19/01/2015 4:13 PM, Nathan Kurz wrote: > On Mon, Jan 19, 2015 at 1:00 PM, Felipe Balbi <balbi at kernel.org> wrote: >> I just thought that such a small patch which causes no visible change to >> SVN users and allow for git users to build R would be acceptable, but if >> it isn't, that's fine too. > > Felipe --- > > It would appear that you are

I think it's also worth saying that some of these issues affect C code as well; e.g. this is not safe: FILE* f = fopen(...); Rf_eval(...); fclose(f); whereas the C++ equivalent would likely handle closing of the file in the destructor. In other words, I think many users just may not be cognizant of the fact that most R APIs can longjmp, and what that implies for cleanup of

Hi, I am trying to implement Higham's algorithm for correcting a non positive definite covariance matrix. I found this code in R: http://projects.cs.kent.ac.uk/projects/cxxr/trac/browser/trunk/src/library/Recommended/Matrix/R/nearPD.R?rev=637 I managed to understand most of it, the only line I really don't understand is this one: X <- tcrossprod(Q * rep(d[p], each=nrow(Q)), Q) This

My smb.conf file contains in the general section. max print jobs = 50 And i disabled the print queue using this command : disable PrintQueueName Therefore i would expect SAMBA to reject print jobs after the 50th. But in real life it does not, it continues to spool indefinitely. If i run a batch file from a client workstation to print continuously. It means the request to print is made

Hi. I am aware of three different R packages for linear programming: glpk, linprog, lpSolve. From what I can tell, if there are N variables and M constraints, all these solvers require the full NxM constraint matrix. Some linear solvers I know of (not in R) have a sparse matrix input format. Are there any linear solvers in R that have a sparse matrix input format? (including the

In the recommended package rpart (version 4.1-1), the file rpartpl.R contains the following line: return(x = x[!erase], y = y[!erase]) AFAIK, returning multiple values like this is not valid R. Is that correct? I can't seem to make it work in my own code. It doesn't appear that rpartpl.R is used anywhere, so this may have never caused an issue. But it's tripping up my R compiler.

Hi Lisp users, I'm a user of both Common Lisp and R (GNU R). I found R has a rich collection of statistical and numerical computation functions, while it is not as extensible as Lisp (Common Lisp). I considered Lisp-Stat but its only implementation is not in the usuall Common Lisp, and the available functions in CRAN are far richer than Lisp-Stat currently has. I want to know if there is

Hey llvm-dev, Continuing a discussion from D50913... A group working on the FP rounding mode and trap-safety project have run into a situation where it would make sense to add a new FNEG instruction and decouple the existing FNEG<->FSUB transformations. The IEEE-754 Standard (Section 5.5.1) makes it clear that neg(x) and sub(-0.0,x) are two different operations. The former is a bitwise

Hi. I have a procedure that reads a directory, loops through a set of particular .RData files, loading each one, and feeding its object(s) into a function, as follows: cvListFiles<-list.files(fnDir); for(i in grep(paste("^",pfnStub,".*\\.RData$",sep=""),cvListFiles)){ load(paste(fnDir,cvListFiles[i],sep="/")); myFunction(rliObject); rm(rliObject); };

I have written some programs in Common Lisp and I have been using SAS to pipe those programs to my lisp compiler in batch mode by using the %xlog and %xlst SAS commands. I wonder if there is in R a similar way to pipe commands to LISP so that all my work would be concentrated in R even when I have to call a LISP program? I have looked at the foreign library but this seems to adjust data types not

Scott Michel <scottm <at> rushg.aero.org> writes: > Out of curiousity, for which CL implementation is this targeted? sbcl? > Or something you're rolling? I wanted to roll out my own lisp, and maybe use some library code from existing lisps (think of loop or format). Adding an LLVM backend to an existing lisp implementation is a nice idea, but currently not planned. >

I mainly program in Common Lisp and use R for statistical analysis. While in R I miss the power and ease of use of Lisp, especially its many primitives such as find, member, cond, and (perhaps a bridge too far) loop. Has anyone created a package that includes R analogs to a subset of Lisp functions? Chris Elsaesser, PhD Principal Scientist, Machine Learning SPADAC Inc. 7921 Jones

Dear R-devel, There is a new feature in R-devel, which explicitly refers to LISP @ operator for splicing. > The backquote function bquote() has a new argument splice to enable splicing a computed list of values into an expression, like ,@ in LISP's backquote. Although the most upvoted SO question asking for exactly LISP's @ functionality in R doesn't seems to be addressed by this