similar to: socketSelect(..., timeout): non-integer timeouts in (0, 2) (?) equal infinite timeout on Linux - weird

Fixed in 73470 Best, Tomas On 10/05/2017 06:11 AM, Henrik Bengtsson wrote: > I'd like to follow up/bump the attention to this bug causing the > timeout to fail for socketSelect() on Unix. It is still there in R > 3.4.2 and R-devel. I've identified the bug in the R source code - the > bug is due to floating-point precisions and comparison using >=. See > PR17203

I'd like to follow up/bump the attention to this bug causing the timeout to fail for socketSelect() on Unix. It is still there in R 3.4.2 and R-devel. I've identified the bug in the R source code - the bug is due to floating-point precisions and comparison using >=. See PR17203 (https://bugs.r-project.org/bugzilla3/show_bug.cgi?id=17203) for details and a patch. I've just

Dear R Gurus, for some purpose i have to use a socket connection, where i have to read and write both text and binary data (each binary data package will be preceeded by a header line). When experimenting, i encountered some problems (with R-2.0.1 under different Linuxes (SuSE and Gentoo)). Since the default mode for socket connections is non-blocking, i first tried socketSelect() in order to

I'm trying to use snow in my dual-core (hopefully later this is going to run in a cluster). So, at this moment I create a cluster using SOCK connection (MPI in the future). However when I try to use clusterApplyLB I got "Error in socketSelect(socklist) : not a socket connection". Any ideas ? Do you know if that is going to be an isuue too when I swith from SOCK to MPI ? Sample code

setTimeLimit(elapsed=1) causes a timeout error whenever a call takes more than one second. For instance, this is how it works on Windows (R 3.3.1): > setTimeLimit(elapsed=1) > Sys.sleep(10); message("done") Error in Sys.sleep(10) : reached elapsed time limit Also, the error propagates immediately and causes an interrupt after ~1 second; > system.time({ Sys.sleep(10);

I report here that, in RStudio in Data Scientist Workbench, lapply(raw(2^31), function(x) NULL) failed after not so long time. > res <- lapply(raw(2^31), function(x) NULL) Error in FUN(X[[i]], ...) : long vectors not supported yet: memory.c:1652 > sessionInfo() R version 3.3.1 (2016-06-21) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Debian GNU/Linux stretch/sid locale: [1]

On unix, unless event polling is enabled Sys.sleep just waits in a select() call (with a SIGINT handler in place) so the elapsed time isn't checked until after the select call is complete. Rstudio uses event polling, and in particular sets R_wait_usec to 10000, which means event and interrupt checks happen during a Sys.seep call. The R GUI on macOS doesn't seem to do this (but my lldb

Hello, All: Try the following: par(bg='transparent') plot(1:3) I get two plots superimposed, one over twice the size it should be, much of it outside the device region. Thanks for all you do to make R such a useful tool. People all over the world live better today, because R helps improve the effectiveness of data analysts. Spencer Graves >

On Mon, 31 Oct 2016, Henrik Bengtsson wrote: > Thank you for looking into this Luke. > > On Thu, Oct 27, 2016 at 9:26 AM, <luke-tierney at uiowa.edu> wrote: >> On unix, unless event polling is enabled Sys.sleep just waits in a >> select() call (with a SIGINT handler in place) so the elapsed time >> isn't checked until after the select call is complete.

Dear All I have sucessfully created cluster of four nodes using localhost in my local machine by executing the following command > cl<-makePSOCKcluster(c(rep("localhost",4)),outfile='',homogeneous=FALSE,port=11001) starting worker pid=4271 on localhost:11001 at 12:12:26.164 starting worker pid=4280 on localhost:11001 at 12:12:26.309 starting worker pid=4289 on

Hi, December 27, 2021 I started a thread asking for help troubleshooting non-blocking sockets. While developing the RBaseX client, I had issues with the authentication process. It eventually turned out that a short break had to be inserted in this process between sending the credentials to the server and requesting the status. Tomas Kalibera put me on the right track by drawing my attention

R Gurus / Ninjas / Wizards: On both R 2.12 (Windows 7) and R 2.13 (OS X 10.5) I have tried the following: 1. In one instance of R open a socket via: s1 <- socketConnection(server=TRUE, open="a+b", port=31415, blocking=FALSE); 2. And in another instance I do the following: s2 <- socketConnection(open="a+b", port=31415, blocking=FALSE); And so I

Dear All, In R 3.4.2 (Linux), the compiler seems to have regressed: $ R --vanilla g = function() { N = 1e7; ans = numeric(N) system.time({for (j in 1:N) ans[j] = 1}) } g() # user system elapsed # 4.272 0.000 4.272 g1 = compiler::cmpfun(g) g1() # user system elapsed # 4.232 0.004 4.235 Running the above code in Windows 3.3.1, g() takes the same time, but g1() takes around 0.5

On 2/15/23 01:24, Ben Engbers wrote: > Hi, > > December 27, 2021 I started a thread asking for help troubleshooting > non-blocking sockets. > While developing the RBaseX client, I had issues with the > authentication process. It eventually turned out that a short break > had to be inserted in this process between sending the credentials to > the server and requesting

On 10/25/2016 9:44 PM, Henrik Bengtsson wrote: > setTimeLimit(elapsed=1) causes a timeout error whenever a call takes > more than one second. For instance, this is how it works on Windows > (R 3.3.1): > >> setTimeLimit(elapsed=1) >> Sys.sleep(10); message("done") > Error in Sys.sleep(10) : reached elapsed time limit > > Also, the error propagates

Hello R people, I have created a '.csv' file of 100 rows by 20 columns whose each cell contains a random numbers between 0 & 1, thru a Java program. Once that is created a signal (just a letter) is send to the port of a socket connection at "localhost", which was earlier started by an "R" session. Now the "R" reads the '.csv' file into a data

I've only recently started using R. One of the problems I come up against is after having extracted a large dataset (>5M rows) out of database, I realize I need another variable. In this case I have data frame with dates. I want to find the minimum date for each value of x1 and add that minimum date to my data.frame. > randomdf <- function(p) { data.frame(x1=sample(1:10^4, 10^p,

Hi, I believe I have significantly improved [dpq]wilcox functions by implementing Harding's algorithm: Harding, E.F. (1984): An Efficient, Minimal-storage Procedure for Calculating the Mann-Whitney U, Generalized U and Similar Distributions, App. Statist., 33, 1-6 Results on my computer show (against R-2.9.1): > system.time( dwilcox( 800, 800, 80) ) user system elapsed 0.240

Dear R-ophiles, I've found something very odd when I apply convolve to ever larger vectors. Here is an example below with vectors ranging from 2^11 to 2^17. There is a funny bump up at 2^12. Then it gets very slow at 2^16. > for( i in 11:20 )print( system.time(convolve(1:2^i,1:2^i,type="o"))) user system elapsed 0.002 0.000 0.002 user system elapsed 0.373

I found out the other day that crossprod() will take a single matrix argument; crossprod(x) notionally returns crossprod(x,x). The two forms do not return identical matrices: x <- matrix(rnorm(3000000),ncol=3) M1 <- crossprod(x) M2 <- crossprod(x,x) R> max(abs(M1-M2)) [1] 1.932494e-08 But what really surprised me is that crossprod(x) is slower than crossprod(x,x): R>