similar to: Dealing with .git folder when using R CMD INSTALL

On 6 December 2018 at 15:59, Ralf Stubner wrote: | On 06.12.18 15:19, Joris Meys wrote: | > I know this R CMD build ignores these files and folders by default, but R | > CMD INSTALL doesn't apparently. | | to me this is not apparent. I just tried "R CMD INSTALL ." in a package | directory with a .git directory. This went without any problems. What do | you observe? Seconded.

On Wed, 8 May 2019 at 04:52, Peter Langfelder <peter.langfelder at gmail.com> wrote: > > (CCing the R-devel list, maybe someone will have a better answer.) > > To be honest, I don't know how to. I wasn't able to configure R to use > OpenBLAS using the configure script and options on my Linux Fedora system. > I configure it without external BLAS, then replace the

In versions of R prior to 3.6.0 the following invocation succeeds, returning the data frame shown: > read.table("https://www.dwds.de/r/stat?corpus=kern&cnt=tokens&date=decade&format=text", header=TRUE) Dekade Anzahl 1 1900 11467254 2 1910 13023370 3 1920 13434601 4 1930 13296355 5 1940 12121250 6 1950 13191131 7 1960 10587420 8 1970 10944129 9

On 28.05.2018 16:38, Martin Maechler wrote: > Then, I now do think this needs to be dealt with as a bug > (but I'm not delving into fixing it!) Ok. Can somebody with write privileges in bugzilla add the bug report? I can also do this myself, if somebody with the required privileges can create a user for me. Greetings Ralf PS: I get an error message from

On 12.09.2018 20:20, G?bor Cs?rdi wrote: > This is all normal, a fork cluster works with processes, that do not > share memory. And if you are after shared-memory parallelism, you can try the 'Rdsm' package: https://cran.r-project.org/package=Rdsm Greetings Ralf -- Ralf Stubner Senior Software Engineer / Trainer daqana GmbH Dortustra?e 48 14467 Potsdam T: +49 331 23 61 93 11 F:

On 28.05.2018 11:07, G?bor Cs?rdi wrote: > stdin() is not the same as file("stdin"), see the note in ?stdin. In particular stdin() works in an interactive session but not when R -f / Rscript is used, since it does not wait for the user to input anything: $ R -f readLines.R R version 3.5.0 (2018-04-23) -- "Joy in Playing" Copyright (C) 2018 The R Foundation for Statistical

Dear all, I would like to draw you attention to this question on SO: https://stackoverflow.com/questions/50372043/readlines-function-with-new-version-of-r Based on the OP's code I used the script ####################################### create_matrix <- function() { cat("Write the numbers of vertices: ") user_input <- readLines("stdin", n=1) user_input <-

On 9/20/18 5:15 PM, Duncan Murdoch wrote: > On 20/09/2018 6:59 AM, Ralf Stubner wrote: >> It is difficult to do this in a package, since R does not provide access >> to the random bits generated by the RNG. Only a float in (0,1) is >> available via unif_rand(). > > I believe it is safe to multiply the unif_rand() value by 2^32, and take > the whole number part as an

Gabe As mentioned on Twitter, I think the following behavior should be fixed as part of the upcoming changes: R.version.string ## [1] "R Under development (unstable) (2019-02-25 r76160)" .Machine$double.digits ## [1] 53 set.seed(123) RNGkind() ## [1] "Mersenne-Twister" "Inversion"??????? "Rejection" length(table(runif(1e6))) ## [1] 999863 I don't

>>>>> Martin Maechler >>>>> on Mon, 28 May 2018 10:28:01 +0200 writes: >>>>> Ralf Stubner >>>>> on Fri, 25 May 2018 19:18:58 +0200 writes: >> Dear all, I would like to draw you attention to this >> question on SO: >>

On 9/20/18 1:43 AM, Carl Boettiger wrote: > For a well-tested C algorithm, based on my reading of Lemire, the unbiased > "algorithm 3" in https://arxiv.org/abs/1805.10941 is part already of the C > standard library in OpenBSD and macOS (as arc4random_uniform), and in the > GNU standard library. Lemire also provides C++ code in the appendix of his > piece for both this and

While using parallelization R seems to clone all environments (that are normally passed by reference) that are returned from a child process. In particular, consider the following example: library(parallel) env1 <- new.env() envs2 <- lapply(1:4, function(x) env1) cl<-makeCluster(2, type="FORK") envs3 <- parLapply(cl, 1:4, function(x) env1) envs4 <- parLapply(cl, 1:4,

On 06.12.18 15:19, Joris Meys wrote: > I know this R CMD build ignores these files and folders by default, but R > CMD INSTALL doesn't apparently. to me this is not apparent. I just tried "R CMD INSTALL ." in a package directory with a .git directory. This went without any problems. What do you observe? cheerio ralf -- Ralf Stubner Senior Software Engineer / Trainer daqana

Not sure what should happen theoretically for the code in vseq.c, but I see the same pattern with the R generators I tried (default, Super-Duper, and L'Ecuyer) and with with bash $RANDOM using N <- 10000 X1 <- replicate(N, as.integer(system("bash -c 'echo $RANDOM'", intern = TRUE))) X2 <- replicate(N, as.integer(system("bash -c 'echo $RANDOM'",

Dear List, section "6.3 Random number generation" of WRE [1] lists unif_rand(), norm_rand() and exp_rand() as the interface to R's RNG. Now R_ext/Random.h also has double R_unif_index(double); Can this be also treated as an official API function that may be called from a package? Thanks Ralf [1] https://cran.r-project.org/doc/manuals/r-release/R-exts.html#Random-numbers --

Dear Listmembers, wanting to learn more about ALTREP I wrote the following function to extract a subsequence from an integer vector: #include <Rinternals.h> SEXP integer_get_region(SEXP _x, SEXP _i, SEXP _n) { int i = INTEGER(_i)[0]; int n = INTEGER(_n)[0]; SEXP result = PROTECT(Rf_allocVector(INTSXP, n)); INTEGER_GET_REGION(_x, i, n, INTEGER(result)); UNPROTECT(1); return

On 6 December 2018 at 15:19, Joris Meys wrote: | Dear all, | | quite a few package tools depend on R CMD INSTALL today for rapid testing | of a package, eg: | | - devtools::install() | - BiocCheck::BiocCheck() | | I've noticed that at least BiocCheck() doesn't ignore version control | folders like .git. Trying to find out why this was, lead me to R CMD | INSTALL. | | I know this R CMD

I've noticed unstable behavior of nlminb on some Linux systems. The problem can be reproduced by compiling R-3.5.2 using gcc-8.2 and running the following snippet: f <- function(x) sum( log(diff(x)^2+.01) + (x[1]-1)^2 ) opt <- nlminb(rep(0, 10), f, lower=-1, upper=3) xhat <- rep(1, 10) abs( opt$objective - f(xhat) ) < 1e-4 ## Must be TRUE The example works perfectly when

A quick point of order here: arguing with Duncan in this forum is helpful to expose ideas, but probably neither side will convince the other; eventually, if you want this adopted in core R, you'll need to convince an R-core member to pursue this fix. In the meantime, a good, well-tested implementation in a user-contributed package (presumably written in C for speed) would be enormously

On 04.05.19 19:04, Stephen Berman wrote: > In versions of R prior to 3.6.0 the following invocation succeeds, > returning the data frame shown: > >> read.table("https://www.dwds.de/r/stat?corpus=kern&cnt=tokens&date=decade&format=text", header=TRUE) > Dekade Anzahl > 1 1900 11467254 > 2 1910 13023370 > 3 1920 13434601 > 4 1930