similar to: Homogenic groups generation - Randomisation

Dear R-users, We expect to form N homogeneous groups of n features from an experimentation including N*n data. The aim is to prevent group effects. How to do that with R functionalitites ? Does anyone know any way enabling this ? Example : 100 patients are observed. 3 biochemical parameters are mesured for each one (Red and white globules ans glycemia). Patient RG RW

Dear R-users, We expect to develop statistic procedures and environnement for the computational analysis of our experimental datas. To provide a proof of concept, we plan to implement a test for a given experiment. Its design split data into 10 groups (including a control one) with 2 mesures for each (ref at t0 and response at t1). We aim to compare each group response with control response

Dear R-users, I would like to build N "tkentry" compounds in the same window, with default text for each. As N is variable I need to construct them in an iterative way : library(tcltk) main<-tktoplevel() tktitle(main)<-"My Tool" filenames<-c("toto","tata","titi") N<-length(filenames) for (i in 1: N) {

Hi, Is anyone has solved MR Xin Meng problem (see below) ? We have the same analysis configuration : 10 groups (including control one) with 2 mesures for each (ref at t0 and response at t1). We expect to compare each group response with control response (group 1) using a multiple comparison procedure (Dunnett test). In order to perform this test, we have to normalize our data (as you) to

Dear R-users, We expect to develop statistic procedures and environnement for the computational analysis of our experimental datas. To provide a proof of concept, we plan to implement a test for a given experiment. Its design split data into 10 groups (including a control one) with 2 mesures for each (ref at t0 and response at t1). We aim to compare each group response with control response

Dear R-helpers, We marked 6000 leaves from 5 SPECIES - 10 individuals/species - in two different TREATMENTs: a control and a dry-plot from which 50% of incoming precipitation was excluded. We followed those leaves for 42 months and noted the presence and absence at each visit. I then carried out a Cox Harzard model to see differences in leaf mortality between parcels and among species over time:

I would like to know how to use the function step with "for" in order to predict. Id est: Let M , A, B ,C be vectors of length 15 for(i in 1:5) { regrM<-lm(M[(1+i):(10+i)]~A[(1+i):(10+i)]+B[(1+i):(10+i)]+C[(1+i): (10+i)]) sregrM<-step(regrM) and then I would like to compute the predicted value : M* of M, using the predictors selected by the function step. For example if i=1

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

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

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

madame, monsieur, help me please, Je debute avec R. J'ai r??alis?? une analyse factorielle discriminante avec R. J'obtient les resultat graphiques et les tables assici??es ?? l'analyse. Cependant je souhaiterais savoir si les distances separant les groupes (decades) sont statistiquement significatives. pour cela il me faut utiliser la distance de mahalanobis et la statistique de

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

Dear R-people, I hope asking this is not too cheeky, but I do have a R Problem. I hope that some of you like to play around with R and can help me. Its like this. I have several plant species (A,B,C) and 10 replicates per species. 5 plants per species are damaged, 5 not. I let a caterpillar feed on each plant and measured the growth of the caterpillars on control plants (CR) and on damaged

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

Hello, I'm using Samba 3.0.7, and I'd like to keep logs of open/delete/etc. files, to be able to tell which user accessed a particular file at a certain moment, and so on. Samba logs are a bit confusing for this purpose. I thought the audit VFS module was best suited for the task, but I encountered some problems: 1. it does not clearly report which user did each action. Ok, it reports

Am 12. Juli 2013 15:06:54 schrieb Matt Fleming <matt at console-pimps.org>: > Which installer? I would hazard a guess that the installer is also bios > specific and is going to need to be tailored for EFI boot anyway. > > -- > Matt Fleming, Intel Open Source Technology Center It's a little be complex. It's a DVD based installer where I try to change this to be

Bonjour, Je veux cherché l’estimateur de vraisemblance maximal (MLE)d’une fonction à 3 paramètre inconue étant donné une échantillon de taille 50 (les observations des valeurs de x) alors comment je peux procédé La fonction de densité est définie par : f(x)= 1/3(g(a1)+g(a2)+g(a3)) avec g(ai)=(exp(ai)*ai^x)/x! pour i=1,2,3. Je vous remercie beaucoup. A. Elhabti

> Sorry, but in the first mail I forgot to attach the Makefile and I > forgot also to mention that I already tried the password handling in win95 > via the registry. > > De Boe Bart wrote: > > > Hello, > > > > I need to install Samba on a HP J210 HPUX 10.20. > > I downloaded and compiled version 1.9.18p10. > > > > Following problems are

> Sorry about that. I've fixed the Makefiles in 6.02-pre4. > > > Would this also create memdisk for efi64 boot? > > No, memdisk is inherently tied to bios and isn't build for efi32/efi64. > > -- > Matt Fleming, Intel Open Source Technology Center > Hi Matt, thanks for your response. Would there be memdisk or a similar program/methode to emulate a cdrom