similar to: Unweighted meta-analysis

Dear useRs I am looking for a way to randomise the values within a matrix: the conditions are that the sums of the rows and the sums of the columns should remain the same as in the original matrix. Any help would be appreciated Cheers Yann

Hi, I’m new to R (just installed today) and I’m trying to figure out how to do stratified randomisation using it. My google search expedition has lead me to believe that blockrand package will most probably be the answer to it. I’ve played around with blockrand for awhile and tried the sample code: library(blockrand) ##stratified by sex male <- blockrand(n=100,

Hello everybody, I have a question. I would like to get a correlation between constitutive and induced plant defence which I messured on 30 plant species. So I have table with Species, Induced defence (ID), and constitutive defence (CD). Since Induced and constitutive defence are not independant (so called spurious correlation) I should do a randomisation test. I have a syntax of my

This uses time, ASLR and pid for randomisation. (Closes: #516774) Signed-off-by: Thorsten Glaser <tg at mirbsd.org> --- usr/include/stdlib.h | 2 + usr/klibc/Kbuild | 2 +- usr/klibc/mkstemp.c | 93 ++++++++++++++++++++++++++++++++++++++++++++++++++ 3 files changed, 96 insertions(+), 1 deletions(-) create mode 100644 usr/klibc/mkstemp.c diff --git a/usr/include/stdlib.h

Hi, I want to ue a randomisation test, to compare two sample means, for a small set of data, I've looked at towt.permutation, perm.test and permtest, as well as permTS(), which is the best one to use for such a simple purpose? I know perm.test package isn't used anymore and coins recommended, but reading the manual I couldnt find the function most like it, ore more likely I

Hi to all, I am looking for a randomisation procedure for a single matrix, including a possibility to set the number of randomisations and the to set the number of row and columns . Knut

Hi all, As part of some recent work to harden the Kernel Address Space Layout Randomisation (KASLR) implementation in arm64 Linux, I've proposed a patch for the kernel which omits the ESR context from the signal frame if the faulting virtual address is outside the range of addresses which can be mapped by userspace. http://lists.infradead.org/pipermail/linux-arm-kernel/2018-March/563837.html

Hello, In an attempt to randomise the basic blocks in a function, is it possible that I can randomise the entry block as well? And maybe insert some instructions in the pass to call entry block while running the program ? Is it feasible? What does entry block consist of ? Thanks Tanu --------------------------------- Do you Yahoo!? Yahoo! Search presents - Jib Jab's 'Second

Dear All, I get the following error when using either SASxport or Hmisc to read an .xpt file: > w <- read.xport("D:/consult/Trophos/dnp/base/TRO_ds_20081006.xpt") Erreur dans factor(x, f$value, f$label) : invalid labels; length 15 should be 1 or 14 > z<- sasxport.get("D:/consult/Trophos/dnp/base/TRO_ds_20081006.xpt") Erreur dans factor(x, f$value, f$label) :

On 03/06/2018 08:58 PM, Will Deacon wrote: > Hi all, > > As part of some recent work to harden the Kernel Address Space Layout > Randomisation (KASLR) implementation in arm64 Linux, I've proposed a > patch for the kernel which omits the ESR context from the signal frame > if the faulting virtual address is outside the range of addresses which > can be mapped by userspace.

Tanu Sharma wrote: > Hello, > > In an attempt to randomise the basic blocks in a function, is it > possible that I can randomise the entry block as well? And maybe insert > some instructions in the pass to call entry block while running the > program ? > > Is it feasible? > > What does entry block consist of ? The entry block, by definition, is the first basic

Dear All, I am attempting to use forward and/or backward selection to determine the best model for the variables I have. Unfortunately, because I am dealing with patients and every patient is receiving treatment I need to force the variable for treatment into the model. Is there a way to do this using R? (Additionally, the model is stratified by randomisation period). I know that SAS can be

On Wed, Mar 7, 2018 at 4:39 PM, Andrey Ryabinin <aryabinin at virtuozzo.com> wrote: > On 03/06/2018 08:58 PM, Will Deacon wrote: >> Hi all, >> >> As part of some recent work to harden the Kernel Address Space Layout >> Randomisation (KASLR) implementation in arm64 Linux, I've proposed a >> patch for the kernel which omits the ESR context from the signal

Hi I want to use order() to get the order of a vector. But I would need a different behavior when ties occur: similar to the parameter ties.method = "random" in the rank() function, I would need to randomise the ties. Is this possible? Example: x <- rep(1:10, 2) order(x) [1] 1 11 2 12 3 13 4 14 5 15 6 16 7 17 8 18 9 19 10 20 order(x) [1] 1 11 2 12 3 13 4 14 5 15

On Wed, Mar 7, 2018 at 7:48 AM, Dmitry Vyukov <dvyukov at google.com> wrote: > On Wed, Mar 7, 2018 at 4:39 PM, Andrey Ryabinin <aryabinin at virtuozzo.com> wrote: >> On 03/06/2018 08:58 PM, Will Deacon wrote: >>> Hi all, >>> >>> As part of some recent work to harden the Kernel Address Space Layout >>> Randomisation (KASLR) implementation in

Our out-of-tree LLVM compiler is configured and built on Linux, but I cannot get it to run under the Windows 10 Linux Subsystem. When run in this context it reports a crash: warning: Error disabling address space randomisation: Success warning: linux_ptrace_test_ret_to_nx: PTRACE_KILL waitpid returned -1: Interrupted system call Program received signal SIGSEGV, Segmentation fault.

Dear all, I'd appreciate some advice on the following problem. I'm attempting to analyse a nested cross-sectional design in which an intervention was offered to a series of randomly selected (small) communities, so the unit of randomisation is the community. All available individuals in each community were interviewed before the intervention and again at follow-up

Holger Schurig wrote: >> With 3.3.5 my first test took 5 times to produce a non "bus >> error" build. There were no 'make cleans' in between. >> >> What is going on? > > You mean you used your bsd-ports-provided gcc to compile LLVM and > you've got 4 times a bus-error during the build? In this case, > it cannot be a LLVM problem. Ok,

I''ve spent some time converting my website from php to RoR, and so far, I''m loving every bit of Rails. However, I''ve stumbled across a problem. On my old page, I''ve had a random quote display at a specific location, and I''d like to replicate this with RoR. Basically, I thought I would be able to add all quotes into a specific table in the database,

Hi, for example one could do it this way: v <- summary(fit)$coefficients[,4] the coefficient attribute is a matrix, and with the "4" you refere to the pvalue (at least in lm - don't know if summary(glm) produces sligthely different output). to skip the intercept (1st row): v <- summary(glmfit)$coefficients[-1,4] hope this helps, Arne -- Arne Muller, Ph.D.