similar to: (PR#7951) DispatchOrEval missing in do_isfinite and

Full_Name: Lars Hansen Version: 2.1.0 OS: SunOS 5.8 Submission from: (NULL) (207.66.36.189) Hi, S4 method displacth does not work for the two generic functions 'is.finite' and 'is.infinite'. It turns out that the C functions 'do_isfinite' and 'do_isinfinite' in src/main/coerce.c are missing a call to 'DispatchOrEval' (see do_isnan). Added in the call

Hi, OK, if you try to explicitly make them generic, you are told that they are implicitly already generic: > setGeneric("is.finite", function(from, ...) standardGeneric("is.finite")) Error in setGeneric("is.finite", function(from, ...) standardGeneric("is.finite")) : "is.finite" is a primitive function; methods can be defined, but the

The Bioconductor build for a package DirichletMultinomial on R Under development (unstable) (2013-02-26 r62077) -- "Unsuffered Consequences" at http://bioconductor.org/checkResults/devel/bioc-LATEST/DirichletMultinomial/george2-buildsrc.html shows * creating vignettes ... ERROR ... Error: processing vignette ?DirichletMultinomial.Rnw? failed with diagnostics: chunk 21 (label

A colleague sent me the following: If you specify probabilities in the 'sample' function and forget to type 'prob=...', then you get nonsense. E.g. sample(1:10,1,c(0,0,0,0,1,0,0,0,0,0)) does not filter '5', while sample(1:10,1,prob=c(0,0,0,0,1,0,0,0,0,0)) does it correctly. I wish this would return an error because the

> > Is it a function to list all functions set with debug() or trace()? > Best, > Phillipe, As Thomas noted, R does not currently allow testing whether a function is being debugged. However, it is possible to add this feature. I'm attaching a patch to the end of this message that adds a new internal function "isdebug" which tests if its (only) argument is a

Full_Name: Nick Efthymiou Version: R1.5.0 and above OS: Red Hat Linux Submission from: (NULL) (162.93.14.73) With the introduction of the functions rowSums(), colSums(), rowMeans() and colMeans() in R1.5.0, function "SEXP do_colsum(SEXP call, SEXP op, SEXP args, SEXP rho)" was added to perform the fast summations. We have an excellent opportunity to improve the accuracy by

OBJECTIVE: To update source(..., print.eval=FALSE) to not use withVisible() unless really needed. This avoids unnecessary increases of reference counts/NAMED introduced by withVisible(), which in turn avoids unnecessary memory allocations and garbage collection overhead. This has an impact on all source():ed scripts, e.g. pre-allocation of large matrices to save memory does *not always* help in

This is of course an incorrect usage, which I've trapped at R level, so as to give an informative warning. On Tue, 28 May 2002 NEFTH@pacbell.net wrote: > The following sequence of commands: > graphics.off() > dev.control("inhibit") > > causes R to memory-fault and core dump. This is reported > for a new port of R, but is also reproducible on Windows > and

The Rprofmem facility is currently enabled only if the configuration option --enable-memory-profiling is used. However, the overhead of having it enabled is negligible when profiling is not actually being done, and can easily be made even smaller. So I think it ought to be enabled all the time. I've attached a patch doing this, which also makes a number of other improvements to Rprofmem,

I tried to run gdb in linux with emacs But could not even run a simple example in the writing extensions tutorial. The execution history is as follows. Gdb worked fine for other debugging such as C++ codes. Thanks Han I started R at echo of emacs by typing (also tried other methods mentioned in the tutorial both in emacs and xterm.) M-x gdb ==> R -d gdb (gdb) run Starting program:

This message is in MIME format. Since your mail reader does not understand this format, some or all of this message may not be legible. ------_=_NextPart_000_01C344B0.28BC0750 Content-Type: text/plain; charset="windows-1252" Summary: Currently R provides > dev.control(displaylist='inhbit') to turn *off* the recording of graphics operations in a device, but there is no

The other day I was working on an example which used tempfile() to create file for use by the graphics device. And while I love tempfile()---as it is portable and clever and the files get cleaned by R and all that---I noticed one missing feature I would like to see: beside a starting name pattern, and an optional directory, an 'file extension' argument would be nice to have. As e.g. in

Hi, We sometimes see offers to contribute, asking what needs to be done. If they know C, how about the 111 FIXMEs? But which ones would be most useful to fix? Which are difficult and which are easy? Does R-core have a process to list and prioritise the FIXMEs? ~/R/Rtrunk/src/main$ grep "[^/]FIXME" * | wc -l 111 ~/R/Rtrunk/src/main$ grep -A 1 "[^/]FIXME" * arithmetic.c:/*

Hello R-devel, Best wishes in the new year. I am writing to kindly request new R function so NA_real_ can be more easily detected. Currently if one wants to test for NA_real_ (but not NaN) then extra work has to be done: `is.na(x) & !is.nan(x)` Required functionality is already at C level so to address my request there is not that much to do. Kevin Ushey made a nice summary of current R C api

Here's an update of my rawConnection() implementation. In addition to providing a raw version of textConnection(), this fixes two existing issues with textConnection(): one is that the current textConnection() implementation carries around unprotected SEXP pointers, the other is a performance problem due to prolific copying of the output buffer as output is accumulated line by line. This new

"nana" is meant to express "NA, really NA". Your suggestion sounds good. On Thu 2 Jan, 2020, 3:38 AM Pages, Herve, <hpages at fredhutch.org> wrote: > Happy New Year everybody! > > The name (is.nana) doesn't make much sense to me. Can you explain it? > > One alternative would be to add an extra argument (e.g. 'strict') to > is.na(). FALSE by

Happy New Year everybody! The name (is.nana) doesn't make much sense to me. Can you explain it? One alternative would be to add an extra argument (e.g. 'strict') to is.na(). FALSE by default, and ignored (with or w/o a warning) when the type of 'x' is not "numeric". H. On 12/31/19 22:16, Jan Gorecki wrote: > Hello R-devel, > > Best wishes in the new

Hi all I recently started to write a matrix exponentiation operator for R (by adding a new operator definition to names.c, and adding the following code to arrays.c). It is not finished yet, but I would like to solicit some comments, as there are a few areas of R's internals that I am still feeling my way around. Firstly: 1) Would there be interest in adding a new operator %^% that performs

There is a version of the methods package committed today that does dispatch in C for these functions. This should considerably speed up programs that define methods for these functions (specifically, having methods should only marginally affect the existing computations for the same function on basic vectors and objects). This is the first of several steps needed. Not quite all primitives are

Hi Sri, I haven't really elaborated on it having other stuff to prepare first, but as far as I got you first assign data to a vector: #include <R.h> #include <Rinternals.h> #undef R_INTERFACE_PTRS #include <Rembedded.h> #include "Rcpp.hpp" #include <R_ext/Parse.h> #include <Rinternals.h> #include <Rdefines.h> //assigning a vector SEXP