similar to: package / function for monitoring processes?

Hi all; I want to print system.time whenever I execute any command. It takes too much time to type "system.time()" function to all command. is there any solution on it? And, apply(matrix,1,cumsum) command is too slow to some large matrix. is there any function like rowCumSums ? thank u! -- View this message in context:

Not sure where to even start on this.... I'm hoping there's some debugging I can do... I have a loop that cycles through several different data sets (same structure, different info), performing randomForest growth and predictions... saving out the predictions for later study... I get about 5 hours in (9%... of the planned iterations.. yikes!) and R just freezes. This happens in

Hello, I'd like to know how to plot several curves in the same frame (1curve = 1line=1day). For instance (csv file): 2012-02-01 01:00:00; 2100 2012-02-01 02:00:00; 2200 ... 2012-02-01 23:00:00; 2500 2012-02-02 01:00:00; 1000 2012-02-02 02:00:00; 1500 ... 2012-02-02 23:00:00; 1700 Here, I have to plot 2 curves in the same frame: 1 for 2012-02-01 (on the first line) and 1 for 2012-02-02 (on

Hi Does rJava offer a way to instruct the JVM to perform a garbage collection? Regards Ben

I was hoping to fit along the lines of g<-gl(20,5) y<-runif(100) fit<-lme(fixed=y~g,correlation=corAR1(0,~1|g)) But I get the error "Incompatible formulas for groups in "random" and "correlation"" Any help would be greatly appreciated. Ben

I didn't do the compile; is there a way to check whether that was used? If not, I'll inquire with our sysadmin and report back. In any case, my suggestion was motivated by the fact that some parts of R use OpenMP while others do not, in the hope that the former could have their OpenBLAS omelet without breaking the OpenMP eggs, so to speak. On 01/09/2018 06:41 PM, Keith O'Hara

A kind member of R-core suggested this is due to a misconfiguration on my system, and to post it to the mailing list for troubleshooting. When trying to build R version 4.3.3, in at least two places during the process it gives LaTeX errors of the form: (example 1) you should 'make docs' now ... make[1]: Entering directory '/home/btyner/R-4.3.3/doc' creating

Hello R-help group, I have a question about merging lists. I have two lists: Genes list (hSgenes) name chr strand start end transStart transEnd symbol description feature ENSG00000223972 1 1 11874 14412 11874 14412 DEAD/H box polypeptide 11 like 1DEAD/H box polypeptide 11 like 3DEAD/H box polypeptide 11 like 9 ;;

Not sure if this is a bug, so posting here first. If I run: ?? cnt <- 0L ?? while (TRUE) { ? ? ?? cnt <- cnt + 1L ? ? ?? p <- pipe("echo /dev/stdin > /dev/null", open = "w") ? ? ?? writeLines("foobar", p) ? ? ?? tryCatch(close(p), error = function(e) { print(cnt); stop(e)}) ?? } then once cnt gets to around 650, it fails with: ?? [1] 654 ??

Background: I'm a student of Prof. Cleveland at Purdue University. Eventually, we'd like to release a new version of the loess routine in R. For starters, this implementation would have support for local polynomial degree 3, better control over the number of cells in the KD tree, and perhaps a better solution in higher predictor dimension. I see that Prof. Ripley was responsible for

Full_Name: Ben Tyner Version: 2.2.0 OS: i686-pc-linux-gnu Submission from: (NULL) (128.210.141.240) My appologies if this has already been fixed, but I didn't see it in the tracking system yet so I thought I'd report it. Demonstration: xyplot(Petal.Length ~ Petal.Width | Species, iris, strip = strip.custom(style = 1, var.name = expression(beta),

So imagine rpois is changed, such that the storage mode of its return value is sometimes integer and sometimes numeric. Then imagine the case where lambda is itself a realization of a random variable. Do we really want the storage mode to inherit that randomness? On 1/19/20 10:47 AM, Avraham Adler wrote: > Maybe there should be code for 64 bit R to use long long or the like? > > On

Andreas, How right you are! Still, I find it curious that in the context of the while(TRUE) loop, I am allowed to do this 653 times, with failure on the 654th attempt. Perhaps there is something asynchronous going on? If I eliminate the looping, it does indeed fail (as expected) on the first attempt to close the pipe. Regards Ben On 12/6/19 2:04 AM, Andreas Kersting wrote: > Hi

Full_Name: Benjamin Tyner Version: 2.6.0 RC 2007-10-01 r43043 OS: WinXP Submission from: (NULL) (171.161.224.10) platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status RC major

Say I have library(lattice) x<-runif(256) y<-runif(256) f<-gl(16,16) g1<-rep(1:4,each=64) g2<-rep(1:4,times=64) plot<-xyplot(y~x|f, groups=g1, pch=as.character(1:4), panel=function(x,y,subscripts,groups,...){ panel.superpose(x,y,subscripts,groups,...) }) print(plot) Currently, both

Curious to know if this warning is expected behavior, and if so, what is the recommended way instead: > dput(letters, file = stderr()) c("a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p",

Full_Name: Benjamin Tyner Version: 2.3.0 OS: linux-gnu (debian) Submission from: (NULL) (71.98.75.54) > mean(NA) returns -2147483648 on my system, which is -(1+.Machine$integer.max) > sessionInfo() Version 2.3.0 (2006-04-24) i686-pc-linux-gnu attached base packages: [1] "methods" "stats" "graphics" "grDevices" "utils"

For each level of the factor in dotplot, I have time points I'd like to connect with a line. In the example below, 'x' represents a starting time and 'd' a duration, and I wish to connect 'x' to 'x+d'. Ordinarily I would use Dotplot from hmisc for this, but I have not been able to find a time class that Dotplot will allow. I can get lattice dotplot to put

????? This issue arose for me in simulations to estimate confidence, prediction, and tolerance intervals from glm(., family=poisson) fits embedded in a BMA::bic.glm fit using a simulate.bic.glm function I added to the development version of Ecfun, available at "https://github.com/sbgraves237/Ecfun".? This is part of a vignette I'm developing, available at

Thanks Keith. We checked, and indeed libopenblas is not linked against libomp nor libgomp. We suspect this is because we used conda to install R and OpenBLAS. So I guess we should be barking up the conda tree instead? By the way, I also noticed on my home machine (Ubuntu), /usr/lib/libopenblas.so.0 is also not linked against those, for what that's worth. Regards, Ben On 01/10/2018 12:04