similar to: Memory Leak in R v1.6.1

Displaying 20 results from an estimated 7000 matches similar to: "Memory Leak in R v1.6.1"

2001 Mar 18
1
R-Installation on supercomputer -- f77 problem
This was addressed to the wrong place ... ------- start of forwarded message ------- From: Annette Molinaro-Clark <annette@pacific.llnl.gov> To: maechler@R-project.org Subject: R-Installation Date: Thu, 15 Mar 2001 12:10:19 -0800 (PST) Hi - I'm trying to install R to a supercomputer which has a Fortran 77 compiler; however, when i do ./configure I receive this error . . . checking
2004 Jun 01
2
Problem in random (lme)
In a lattice 11x11 with 6 repetitions, we want to compare lines to their two parents. 3 of the 6 repetitions are sprinkled and the 3 others not. There are 5 factors : hm (hydrous mode), variety, block, rep and grandrep. grandrep gathers two repetition, a sprinkled and a not (as in Split Plot !). I use lme but I have problems in random. Can someone help me ? Ibnou DIENG
2009 Apr 15
1
astcanary not exiting in asterisk V1.6.1
Hi, I only run a home-based asterisk (v1.4.18), and have never patched it, so I'm a unfamiliar with what time frame to expect for patches being implimented. I just downloaded (April 14) svn asterisk V1.6.1 r188415, on a "play" machine and noticed that when I stop asterisk, the astcanary module does not exit - when I restart asterisk, a new copy of astcanary also starts. In browsing
2005 Apr 27
4
Connection reset by peer
Hi! I always get the following messages. What does this mean? smbd[20233]: [2005/04/27 09:58:13, 0] lib/util_sock.c:read_socket_data(384) smbd[20233]: read_socket_data: recv failure for 4. Error = Connection reset by peer Thanks in advance Annette
2008 Aug 15
2
Combination with repetition
Hi there! I can't find any information about creating combinations with repetitions in R. The function combn() does create combinations, but _without_ repetitions. Here is what I need to do: svIter <- 1000 xx <- matrix(rnorm(m*n), c(m, n)) sequence <- seq(range(xx)[1], range(xx)[2], length.out = svIter^(1/q)) expand.grid(secuence, secuence, .../q times/..., secuence) That is,
2019 Sep 19
3
Improving partial lookup results
Incidentally, if you're actually aiming to match different forms of a name (Peter vs Pete, Ann vs Anne vs Annette) then you might find the synonym feature a better option than wildcarding. You'd need to give it a list of names to treat as synonyms, but it should have many fewer false positives, and can also handle cases which aren't just a substring - e.g. Robert vs Rob vs Bob vs
2011 Nov 18
3
Apply functions along "layers" of a data matrix
Hello How can I apply functions along "layers" of a data matrix? Example: daf <- data.frame( 'id' = rep(1:5, 3), matrix(1:60, nrow=15, dimnames=list( NULL, paste('v', 1:4, sep='') )), rep = rep(1:3, each=5) ) The data frame "daf" contains 3 repetitions/layers (rep) of 4 variables of 5 persons (id). For some reason, I want to calculate
2008 Dec 11
3
generate combination multiset (set with repetition)
Hi, This has been asked before but not sufficiently answered from what I could find. How do you create combinations with repetitions (multisets) in R? If I have > set <- array(1:3) And I want to choose all combinations of picking 2 numbers, I want to get a print out like [,1] [,2] [1,] 1 1 [2,] 1 2 [3,] 1 3 [4,] 2 2 [5,] 2 3 [6,] 3 3 subsets(set,
2008 Nov 14
1
Generating unique permutations of a vector
Hi all, I try to generate sets of strategies that contain probability distributions for a defined number of elements, e.g. imagine an animal that can produce 5 different types of offspring and I want to figure out which percentage of each type it should produce in order to maximize its fitness. In order to do so, I need to calculate the fitness for all potential strategies. As an example, if I
2009 Aug 09
2
floating point
On Aug 7, 2009, at 21:48, Didier Dambrin wrote: > FLAC doesn't preserve every chunk? I thought it did. I only gave a > quick try > but it seemed to have preserved even the most obscure chunks. > Let me check: it even seems to preserve "MIDI note associated to > marker", > which is a very unknown metadata used by SoundForge (& even defined > in a >
2015 Jun 18
2
[LLVMdev] Contributing a buildbot for the BPF backend
Thank you. Alexei just committed the change to SVN. Regards, Marco Leogrande Sent by a carbon-based life form; hence, it may contain repetitions, inaccuracies, logical fallacies and repetitions. On Wed, Jun 17, 2015 at 2:52 PM, Galina Kistanova <gkistanova at gmail.com> wrote: > LGTM. > Please commit. > > Thanks > > Galina > > On Tue, Jun 16, 2015 at 8:32 PM,
2011 Oct 17
1
Trojan in setup file
Hello, I have the following problem: I successfully installed R (Version 2.1.3.0 for Windows) on my Notebook (Windows 7) in June. Now I used the same setup file for a PC (Windows XP) and got a message from the anti virus software (Avira), that the setup file contains the Trojan "TR/ATRAPS.Gen". The PC is never connected to the internet, this is why the anti virus software has
2015 Jun 17
2
[LLVMdev] Contributing a buildbot for the BPF backend
Galina, thanks again for your help. I have cooked a new patch that should make a bit more sense. I have added the new builder under _get_experimental_scheduled_builders(), as the comment above that function suggested me it would be a good idea. :) Does it look a reasonable start? Regards, Marco Leogrande Sent by a carbon-based life form; hence, it may contain repetitions, inaccuracies,
2010 Apr 27
2
Curve Fitting/Regression with Multiple Observations
I recently came to realize the true power of R for statistical analysis -- mainly for post-processing of data from large-scale simulations -- and have been converting many of existing Python(SciPy) scripts to those based on R and/or Perl. In the middle of this conversion, I revisited the problem of curve fitting for simulation data with multiple observations resulting from repetitions. In the
2006 Apr 06
0
script.aculo.us V1.6.1
V1.6.1 (2006-04-06): Sortable Trees, Prototype 1.5.0_rc0 (fixes IE mem leaks)! New features in V1.6.1 and V1.6.0: * Update to Prototype 1.5.0_rc0 * Sortable trees [thx Sammi Williams, sammi-EeRYXuc1dym5PgFUrJwY1aU/zSkkHjvu@public.gmane.org] See the functional test (test/functional/sortable_tree_test.html) and the CHANGELOG for more information! * Add Draggable object as third parameter
2003 Aug 27
2
Basic GLM: residuals definition
Dear R Users, I suppose this is a school boy question, but here it is anyway. I'm trying to re-create the residuals for a poisson GLM with simulated data; x<-rpois(1000,5) model<-glm(x~1,poisson) my.resids<-(log(x)- summary(model)$coefficients[1]) plot(my.resids,residuals(model)) This shows that my calculated residuals (my.resids) are not the same as residuals(model). p 65 of
2015 Aug 28
7
Clearing the BSS section
Hi, I am writing a function that clears the BSS section on an Cortex-M4 embedded system. The LLVM (version 3.7.0rc3) code I had wrote is : ;------------ target datalayout = "e-m:e-p:32:32-i64:64-v128:64:128-a:0:32-n32-S64" target triple = "thumbv7em-none--eabi" @__bss_start = external global i32 @__bss_end = external global i32 define void @clearBSS () nounwind { entry:
2007 Mar 06
3
Is there a quick way to count the number of times each element in a vector appears?
Hi there, I'm writing a function that calculates the probability of different outcomes of dice rolls (e.g., the sum of the highest three rolls of five six-sided dice). I'm using the "combinations" function from the "gtools" package, which is great: it gives me a matrix with all of the possible combinations (with repetitions allowed). Now I want to count the number
2015 Jun 10
2
[LLVMdev] Contributing a buildbot for the BPF backend
Hello Marco, Welcome aboard! slaves.py keeps the build slaves definitions, builders.py keeps the builders definitions. You have to have both. The steps of adding a new slave is here: http://llvm.org/docs/HowToAddABuilder.html. Please make sure you done the step # 10 before bringing your slave up, otherwise it wouldn't be authorized by the master and will be blacklisted after multiple
2010 May 20
1
Mixed Effects Model on Within-Subjects Design
Dear R Experts, I am attempting to run a mixed effects model on a within-subjects repeated measures design, but I am unsure if I am doing it properly. I was hoping that someone would be able to offer some guidance. There are 5 independent variables (subject, condition, difficulty, repetition) and 1 dependent measure (value). Condition and difficulty are fixed effects and have 3 levels each