search for: randomised

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 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, 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

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

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

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

Hi, I'm studying math, and i have to make an analysys using Randomised Block Design. I have two factors, i know how to do this in Statistica, but how to do this in R, i read some manuals but the only thing that i have found was 2 factor ANOVA. Please could someone help me, or give some usefull links ?? Krzytsztof Suwada

I would like to be able to randomise presence-absence (i.e. binary) matrices whilst keeping both the row and column totals constant. Is there a function in R that would allow me to do this? I'm working with vegetation presence-absence matrices based on field observations. The matrices are formatted to have sites as rows and species as columns. The presence of a species on a site is

...hout replacement?) individual values, comparing the true regression coefficient with the distribution of randomisation regression coefficients. Both approaches would appear to be fraught with risks; for example in the regression approach, it is probable that the error distribution of an individual randomised regression might not be normal - would this then invalidate the whole set of regressions? Many thanks for your advice. Roy -- Roy Sanderson Institute for Research on Environment and Sustainability (IRES) Devonshire Building Newcastle University Newcastle upon Tyne NE1 7RU r.a.sanderson at newcas...

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

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,

Dear R-users, We expect to create N homogenic groups of n features from an experimentation including N*n mesures. The aim of this is to prevent from group effects. How to do that with R functionalities. Does anyone know any methodes enabling this ? Best regards. Alexandre MENICACCI Bioinformatics - FOURNIER PHARMA 50, rue de Dijon - 21121 Daix - FRANCE a.menicacci at fr.fournierpharma.com t??l

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-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

As described here, "Markdown will... perform a bit of randomized decimal and hex entity-encoding to help obscure your address from address-harvesting spambots" on automatic email address links like <rwhe at ludism.org>. http://daringfireball.net/projects/markdown/syntax#autolink I have had a problem with my RSS feed for months, where certain entries would refresh every hour or

Ahhrg List, there was a hitch in the previous code. Updated and functional version follows after my initial question: I am trying to randomise a dataframe with mixed factors/numeric variables and return a new (randomised) dataframe with the same columns (as factors/numeric). simgap<-function(x) { ma<-max(x) mi<-min(x) Xout<-runif(length(x),min=mi,max=ma) return(Xout) } rdize.dta<-function(x){ if(is.factor(x)) { cat(str(x),"\n") factor(as.chara...

On Mon, 14 Feb 2005, Reid Spencer wrote: > isn't necessarily tied to LLVM. Anyway, lets cross that bridge when we > get there. Sounds good. -Chris -- http://nondot.org/sabre/ http://llvm.cs.uiuc.edu/

...by sex male <- blockrand(n=100, id.prefix='M', block.prefix='M',stratum='Male') female <- blockrand(n=100, id.prefix='F', block.prefix='F',stratum='Female') my.study <- rbind(male,female) my.mystudy this generates a beautiful list of randomised list perfect stratified by sex. However, i cannot figure out how i can add in additional stratification besides sex. It would be great if someone can point me to the right direction J Thanks! [[alternative HTML version deleted]]

...+ char *cp, *sp; + union { + unsigned short seed[3]; /* for jrand48 */ + uint64_t stuffing; /* for seeding */ + } u; + struct stat sbuf; + struct timeval tv; + + /* time ensures basic distribution */ + gettimeofday(&tv, NULL); + u.stuffing = tv.tv_sec; + u.stuffing *= 1000000; + /* stack is randomised on all Linux platforms */ + u.stuffing ^= (uint64_t)(ptrdiff_t)&i; + /* more time */ + u.stuffing += tv.tv_usec; + /* pid ensures this differs after fork() */ + u.stuffing ^= (uint64_t)getpid(); + + cp = template; + while (*cp) + ++cp; + + sp = cp; + /* generate random suffix */ + while (sp &g...

when an nt 4.0 workstation or backup domain controller is joined to a domain, the trust account password is set to a well-known initial value. if you are concerned about internal network security, this is not really an acceptable risk: any captured network traffic can be decoded simply from knowing the name of the workstation, which is contained in the network traffic itself. the initial value