similar to: merge in data.tables -- "non-visible"

Hi, i have been running R 2.11 compiles with the goto blas libraries successfully for about a year. I am running Ubuntu 10.10 64 bit. However, recently I have been periodically getting a segfault when running R (and numpy -- also compiled against goto blas). When I check the dmesg error log I get the following message R[28792]: segfault at 7f4183ed4000 ip 00007f4196f05f03 sp 00007f4192d55d20

Hi, I am running Linux (64 bit) R, compiled under gnu compilers. I am looking to compile a Fortran program with the ifort (the intel compiler) and then be able to import that as a library into my version of R. I am using the flags FC=ifort and SHLIB_FCLD=ifort, however ifort does not seem to recognize the libR.so file. Does any one have experience with this/know of a a way to load an ifort

foreach (or virtually anything you might use for concurrent programming) only really makes sense if the work the "clients" are doing is substantial enough to overwhelm the communication overhead. And there are many ways to accomplish the same task more or less efficiently (for example, doing blocks of tasks in chunks rather than passing each one as an individual job). But more to the

Hi there, I have been using the example provided bellow for a while, and It was working without any problem. Nevertheless, just since 2-3 days is not working, probably because I did update.packages(). I have tried to re-install the older versions of the packages Hmisc() and xtable(), but still does not work. Can you run this example, and tell me if you got the same problems? I use

I am very much a beginner at Python and am trying to get RSPython to work for me to solve a specific problem with geocoding addresses using the geopy library for Python (which appears to be an easy way to geocode large numbers of addresses). While I can load up the RSPython library just fine, when I try to load the geopy module using the importPythonModule('geopy') command, I get an error

Hi all, I'm on a Linux server with 48Gb RAM. I did the following: x <- big.matrix(nrow=20000,ncol=500000,type='short',init=0,dimnames=list(1:20000,1:500000)) #Gets around the 2^31 issue - yeah! in Unix, when I hit the "top" command, I see R is taking up about 18Gb RAM, even though the object x is 0 bytes in R. That's fine: that's how bigmemory is supposed to

Hi. I'm trying to install a new package. I'm a relatively long-time (though not advanced) R user and have never seen this error before. For the first example, I tried a few different CRAN mirrors. In the second example, the file does exist; I downloaded it from the CRAN website for the package and pasted in the name exactly a few different times to make sure it was right. >

Would someone please tell me where I can find some good troubleshooting documents to resolve AD authentication issues when using Samba? Is this mailing list the best place? I was able to setup a working WINBIND-Samba setup on CentOS 7.6, but I am required to use SSSD on a different CentOS 7.6 server. Using a test VM, I can get services running, but I can't authenticate from a Mac or

Thank you for replying! I can login with my Active Directory credentials, but I can’t login using the local CentOS “svc_dictations” account. I created the local account usingusing “adduser”, “smbpasswd”, and then updating my smb.conf file (below). Thank you, Brian [global] workgroup = YALE password server = ad1.yu.yale.edu<http://ad1.yu.yale.edu>

I have a question for our European readers: how common is it to use commas as decimal points in spread-sheet and statistics applications? Is it an inconvenience to require that all data use a period as decimal point? (i.e., 3.14159 rather than 3,14159). We're trying to make our program as foolproof as possible, and would prefer not to give users a chance to have commas as both decimal

icecast@xiph.org wrote: > Hello, this is the mailing list anti-spam filter at Xiph.Org. > We need you to confirm your e-mail message with the subject of > "(no subject)". > > Please send a message to the following address, or simply use your > mailer's "Reply" feature. > > icecast+confirm+1053014484.2633.87372b@xiph.org > > Rather than

I want to eliminate certain observations in a large dataframe (21000x100). I have written code which does this using a binary vector (0=delete obs, 1=keep), but it uses for loops, and so it's slow and in the extreme it causes R to hang for indefinite time periods. I'm looking for one of two things: 1. A document which discusses how to avoid for loops and situations in which it's

I am having a problem with loading R on my 64 bit computer. It used to load perfectly until I upgraded to R 3.0.0 now it takes about 10 to even 20 minutes ? Does anyone know how to remedy this problem? Russell " Skip" Barbour Ph.D. Associate Director for Statistics Center for Interdisciplinary Research on AIDS Yale School of Medicine 135 College St. Suit 200 New Haven ,

Hi. I want to use R with very large files, a couple hundred megabytes, but R crashes every time that I try. Reading help files seems to indicate that R ought to manage its memory itself. I know I have enough memory since stata handles these files perfectly well. I have a mac running OS 10.3 and am running RAqua 1.8.1. Is there anything I can do to make it deal with these files successfully?

I am having trouble calling the lmer function in the {Matrix} package. I first installed and loaded {Matrix} as follows: > install.packages("Matrix") > library(Matrix) The package loaded successfully, however when I attempted to call lmer, I received the following message: Error: could not find function "lmer" I also tried: < ?lmer which produced no search

Dear R list, I've just installed R and then followed the instructions to install the package "geoR" from within R by using the following line of code: install.packages("geoR", contriburl = "http://www.est.ufpr.br/geoR/windows") This installed okay under the folder C:\documents and settings\ ... But when I follow the instructions in the illustrative session

Using Tinn-R (in windows) is possible to run latex and R from the same editor, which was great. Now, I am using Ubuntu-linux, which has been better than WinXP. Currently, I am using Emacs (and then install ESS) for running LaTeX and R from a same editor-program (like i was doing with Tinn-R in windows). Nevertheless, and even though i have been using Emacs for almost 2 years, it is not as

This was accidentally addressed to me, personally: ------- start of forwarded message ------- Message-id: <39F70D7C.287323D5 at yale.edu> MIME-version: 1.0 From: Diana Fischer <diana.fischer at yale.edu> To: maechler at stat.math.ethz.ch Subject: R-Project Date: Wed, 25 Oct 2000 11:42:36 -0500 I briefly looked at the R documentation of available statistical procedures. It appears

Dear All: I am using lmer() {lme4} to analyze results from a reciprocal transplant experiment where the response variable is modeled as a function of two fixed effects and their interaction. Example data follow: #library(lme4) #library(gmodels)

Hi Jay Emerson, Our Intention is to primarily optimize "R" to utilize the Parallel Processing Capabilities of CELL BE Processor.(has any work been done in this area?) We have huge pages(of size 1MB 16MB ) available in the system and as you pointed out our data is also in the GB ranges.So the idea is if Vectors of this huge size are allocated from Huge Pages the performance will