similar to: "R CMD check" leaving object files.

A quick drive-by-comment: What if 'R CMD build' would have an option to flatten R/ subfolders when building the tarball, e.g. R/unix/a.R R/windows/a.R R/a.R becomes: R/00__unix__a.R R/00__windows__a.R R/a.R ? Maybe that would be sufficient for most use cases. The only thing I can imagine is that source file references (e.g. in check NOTEs) will be toward the latter and not the

I'm having a very hard time making R CMD check produce a clean check on examples because of the timings inserted into examples by R CMD check. I am getting a difference on every example output caused by timing information being inserted by 'R CMD check'. The current 'Writing R Extensions' manual[1] states on p. 14: If directory tests has a subdirectory Examples

Dear all, I?m working as a data scientist in a major tech company. I have been using R for almost 20 years now and there?s one issue that?s been bugging me of late. I apologize in advance if this has been discussed before. R has traditionally been used for running short scripts or data analysis notebooks, but there?s recently been a growing interest in developing full applications in the

On Mon, Feb 29, 2016 at 6:17 PM, John Chambers <jmc at r-project.org> wrote: > The Wikipedia statement may be a bit misleading. > > S was never open source. Source versions would only have been available with a nondisclosure agreement, and relatively few copies would have been distributed in source. There was a small but valuable "beta test" network, mainly university

The "good reason" is all the tooling in R doesn't work with subfolders and would have to be rewritten. All the package check and build stuff. And that's assuming you don't want to change the basic flat package structure - for example to allow something like `library(foo)` to attach a package and `library(foo.bar)` to attach some subset of package `foo`. That would require

A colleague is receiving some data from another person. That person reads the data in SAS and it takes 30s and uses 64k RAM. That person then tries to read the data in R and it takes 10 minutes and uses a gigabyte of RAM. Person then goes on to say: It's not that I think SAS is such great software, it's not. But I really hate badly designed software. R is designed by

I don't think anyone denies that you *could* make an EXE to do all that. The discussion is on *how easy* it should be to create a single file that contains an initial "main" function plus a set of bundled code (potentially as a package) and which when run will install its package code (which is contained in itself, its not in a repo), install dependencies, and run the main()

On Thu, Jul 26, 2018 at 12:22 AM, G?bor Cs?rdi <csardi.gabor at gmail.com> wrote: > I am trying to control a background R session, connected via a fifo / > named pipe. Is the fifo significant here? If I read the same R code from a file via `<` I get the input echoed (R 3.4.4, Ubuntu). Barry

If you index a vector with a vector that has NA in it, you get NA back: > x=101:107 > x[c(NA,4,NA)] [1] NA 104 NA > x[c(4,NA)] [1] 104 NA All well and good. ?"[" says, under NAs in indexing: When extracting, a numerical, logical or character ?NA? index picks an unknown element and so returns ?NA? in the corresponding element of a logical, integer,

A little while ago here we had a short discussion about Task Views - I think ignited by someone saying 'how many times do I have to say "have you read the Optimisation Task View?"?' and I poured some fuel on that fire by saying "Task Views" was a stupid name. Anyway, I did say that Task Views were rather brilliant, but were let down by their hidden position on the R

I can set up an entry widget (thanks to an old post by Barry Rowlingson) that gets a password and exits when the user clicks on the "OK" button. Anyone have any clever ideas for returning/ destroying the window when the user types a carriage return/ENTER in the text window? I've messed around a little with validate, validatecommand, but don't see any obvious way to do it ...

On Thu, 26 Jul 2018, G?bor Cs?rdi wrote: > On Thu, Jul 26, 2018 at 12:25 PM Barry Rowlingson > <b.rowlingson at lancaster.ac.uk> wrote: >> >> On Thu, Jul 26, 2018 at 12:22 AM, G?bor Cs?rdi <csardi.gabor at gmail.com> wrote: >>> I am trying to control a background R session, connected via a fifo / >>> named pipe. >> >> Is the fifo

In response to an earlier discussion about finding the fastest/best/nearest CRAN site, I geocoded (using my geonames package) the locations of the CRAN sites returned by getCRANmirrors. I've mapped them here: http://www.maths.lancs.ac.uk/~rowlings/R/Cranography/ The geocoding may have got it wrong, so if CRAN site maintainers want to send me a real lat-long (in WGS 84 aka EPSG:4326) I'll

I have just encountered the problem with rgl where plot3d figures don't interact with the mouse. My plots zoom in and out with the mouse wheel but the mouse buttons do nothing. I can't rotate the plot. This has been mentioned and discussed here and in other lists before, and the solution is to turn off Ubuntu's fancy graphics. Back in March, Ben Bolker said: """

I see some value in Duncan?s proposal to implement this as an extra package instead of a change to base R, if only to see if the idea has legs. I?m minded to do so myself using your suggestion, but is there a particular reason why you recommend using the remotes package instead of devtools? The latter seems to have the same functions I would need, and I believe it is more widely installed that

Hi, I am new to R and I would like to display an image on a plane in a 3D plot, i.e. I would like to be able to specify a theta and a phi parameters like in the function persp to display a 2D image on an inclined plane. Regards, vincent [[alternative HTML version deleted]]

Hi, I am new to R and I would like to display an image on a plane in a 3D plot, i.e. I would like to be able to specify a theta and a phi parameters like in the function persp to display a 2D image on an inclined plane. Regards, vincent [[alternative HTML version deleted]]

Hi folks, OS - Ubuntu 10.04 On R I create a datafile named "data". I can evoke it on R with; > data On R Commander Data -> Active data set -> Select active data set -> (data) OK only one data set there "data" -> View data set I can read it -> Edit data set showing 25 rows of data. Clicking the box shows a thick border around it. But I couldn't

I'm often wanting to develop functions whilst manipulating data. But I don't want to end up with a .RData full of functions and data. It might be that I have functions that are re-usable but not worth sticking in a package. So I've tried to come up with a paradigm for function development that more closely follows the way Matlab and Python do it (partly inspired by a confused Matlab

I wondered if there were standard practices in CRAN for delivery of R source implementing functions in R packages. I has encountered a couple of packages where the gzipped version of source contains very little, primarily the Help files describing the functions in the package. In some cases I can find the source as the value of the function name. Given that these packages are released as GPL,