similar to: Mksetup() limited to hashing with 32 bits

Hi, I am trying to read in a rather large list of transactions using the arules library. It seems in the coerce method into the dgCmatrix, it somewhere calls unique. Unique.c throws an error when n > 536870912; however, when 4*n was modified to 2*n in 2004, the overflow protection should have changed from 2^29 to 2^30, right? If so, how would I change it in my copy? Do I have to recompile

Hi, First, thanks in advance. Some useful info: >version platform x86_64-unknown-linux-gnu arch x86_64 os linux-gnu system x86_64, linux-gnu version.string R version 2.15.1 (2012-06-22) I'm trying to use the table() function on a 2 column matrix that has 711 million rows (see below). However, it freezes. If I subset the matrix to be less than or equal

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

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),

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

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

Hi, Currently the hashing implementation in ADT/Hashing.h produces hash values on 32-bit platforms that differ from the lower 32-bits of the hash values produced on 64-bit platforms. It seems the only reason for this difference is that the uint64_t integer seed is truncated to size_t. Since the usage of uint64_t and size_t as types for seed values in the implementation is somewhat

In squid we use a double layer of hashed directories on the FS to allow storage of millions of files. I was reading the "Directory hashing" section but never understood it.. since it's written.. in a way I could not understand. I am using this line: mail_location = maildir:/home/vmail/%d/%n/Maildir/ and I want to migrate to a hash based directory scheme. While trying to understand

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

????? 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

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

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 ??

I'm trying to understand the method dispatch in objc_MsgSend. At some point during compilation, ascii selectors are hashed into integer SEL's. Is this hash somehow guaranteed to be unique? If so, how? If not, how are collisions handled? Is this hashing done during the link phase? Any insights/pointers to the code/documentation related to this hashing would be greatly appreciated.

Hello, I'm doing some analysis on a rather large data set. In this case, some simple commands are failing. For example, this one: > x$eventtype <- factor(x$eventtype) Error in unique.default(x) : length 1093574297 is too large for hashing ...I think this is a bug, because "hashing" should not be required for the "factor" function. Am I right? The whole column

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

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"

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",