similar to: Creating an environment with attributes in a package

Dear all, The version of readBin() in R-devel includes a use of match(), through `%in%`, which can affect its performance significantly. By using primitives instead of the rather expensive call to match(), I reduce the time spent inside readBin() by more than 30% in some of my code (part of the tractor.base package). A simple patch that does this is given below. This passes "make

Dear all, I have asked before, in R-help [1], about a way to create an interactive session in which commands are taken from a file or standard input - like R CMD BATCH but additionally allowing user input - but there was no response to that question, and the workarounds that I have found (using "expect", creating a temporary .Rprofile) are ugly and problematic. With the

Dear all, There have been some recent major updates to the TractoR and RNiftyReg packages, which are available for medical image analysis applications. If you use R for these purposes, I hope you will find the updates useful. RNiftyReg is an image registration package, which provides a clean R-like interface to the NiftyReg library developed at University College London [1]. It is aimed at

Dear all, There have been some recent major updates to the TractoR and RNiftyReg packages, which are available for medical image analysis applications. If you use R for these purposes, I hope you will find the updates useful. RNiftyReg is an image registration package, which provides a clean R-like interface to the NiftyReg library developed at University College London [1]. It is aimed at

Dear all, For an open-source project that I'm working on (1), which uses R for all its heavy lifting but includes a wrapper shell script, I was hoping to find a way to capture all warnings (and, in fact, errors too), and handle them in my own way. I realise I can do this for a single expression using something like: > f <- function(w) print(w$message) >

Dear all, The "tractor.base" package has recently been added to CRAN. This package provides functions to read, write, visualise and manipulate magnetic resonance images. The standard Analyze, NIfTI and DICOM file formats are supported (read-only for DICOM), and all metadata is stored with the image data internally. The code can be used to visualise image slices or maximum intensity

Dear all, The "tractor.base" package has recently been added to CRAN. This package provides functions to read, write, visualise and manipulate magnetic resonance images. The standard Analyze, NIfTI and DICOM file formats are supported (read-only for DICOM), and all metadata is stored with the image data internally. The code can be used to visualise image slices or maximum intensity

Dear John and others, I've been wondering about whether there's any way to indicate a "nil" reference class object, which will represent "no value", and be tested for, but not fail the internal type checking. NULL is the obvious choice (or seems so to me), but can only be used if an explicit class union is created: > Foo <- setRefClass("Foo") > Bar

Dear Jon, thank you for raising the issue, >>>>> Jon Clayden <jon.clayden at gmail.com> >>>>> on Tue, 28 Jul 2015 12:14:48 +0100 writes: > Sorry; minor clarification. The actual test criterion in the example I > gave is of course abs((0.1-0.102)/0.1) < 0.01, not abs(0.1) < 0.01. In > any case, this does not match (my reading of) the docs,

Dear all, Is there a way to force R CMD INSTALL to ignore ~/.Rprofile and similar? I presume it sources these startup files for a reason, but I've found that it can cause confusion or problems. In particular, my ~/.Rprofile loads a few packages which I very frequently use, but this stops me from installing new versions of their dependencies; viz. $ R CMD INSTALL tractor.base * installing to

Dear all, I recognise the reason for strongly discouraging use of printf() and similar C functions in R packages, but I wonder what people do in practice about third-party code which may be littered with such calls. I maintain a package (RNiftyReg) which provides an R interface to a third-party library which contains hundreds of calls to printf(...), fprintf(stderr,...) and similar. It seems to

Hi, A piece of my code that uses readBin() to read a certain file type is behaving strangely with R 2.7.0. This seems to be because of a failure to match() strings after using rawToChar() when the original was terminated with a "\0" character. Direct equality testing with == still works as expected. I can reproduce this as follows: > x <- "foo" > y <-

Dear all, First, many thanks to John Chambers, and anyone else who was involved, for the new support for "reference classes" in R 2.12.0. It's nice to see this kind of functionality appear in a relatively R-like form, and with the blessing of the core team. In some contexts it is undoubtedly appealing to associate a set of methods with a class directly, rather than defining a load

Hi, Can someone please guide me in deciding which specific CentOS Linux version viz 5.8 and 6.3 be used in Live production environment. Any merits and demerits of using either of these versions. Regards Kaushal

On Apr 17, 4:12 am, Chris Lattner <sa... at nondot.org> wrote: > On Apr 16, 2008, at 11:25 AM, Dan Gohman wrote: > > >> So, my idea is that these changes are performance neutral. > > I strongly agree with Dan that we need to measure performance to > ensure there is no significant performance regression. Dan, Chris, finally I am in possession of hard performance data

Dear all, The documentation for `all.equal.numeric` says Numerical comparisons for ?scale = NULL? (the default) are done by first computing the mean absolute difference of the two numerical vectors. If this is smaller than ?tolerance? or not finite, absolute differences are used, otherwise relative differences scaled by the mean absolute difference. But the actual behaviour

On Apr 16, 2008, at 11:25 AM, Dan Gohman wrote: >> So, my idea is that these changes are performance neutral. I strongly agree with Dan that we need to measure performance to ensure there is no significant performance regression. >> I hope that this is interesting, but I'd like to ask anybody who is >> comfortable with performance testing to help provide some hard

Hi R package developers, I would like to know whether anyone had experience using the C++ Boost library within an R package, and how portable was the resulting package. I am especially thinking of possible compiling problems on Windows and Apple systems. If anyone had any tips on how to render an R package using Boost portable, that would be very much appreciated. Thank you very much for

Hi R package developers, I would like to know whether anyone had experience using the C++ Boost library within an R package, and how portable was the resulting package. I am especially thinking of possible compiling problems on Windows and Apple systems. If anyone had any tips on how to render an R package using Boost portable, that would be very much appreciated. Thank you very much for

Sorry; minor clarification. The actual test criterion in the example I gave is of course abs((0.1-0.102)/0.1) < 0.01, not abs(0.1) < 0.01. In any case, this does not match (my reading of) the docs, and the result is not `TRUE`. Regards, Jon On 28 July 2015 at 11:58, Jon Clayden <jon.clayden at gmail.com> wrote: > Dear all, > > The documentation for `all.equal.numeric` says