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...the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. -- Bob O'Hara NOTE NEW ADDRESS!!! Institutt for matematiske fag NTNU 7491 Trondheim Norway Mobile: +49 1515 888 5440 Journal of Negative Results - EEB: www.jnr-eeb.org

...-- Bob O'Hara Department of Mathematics and Statistics P.O. Box 68 (Gustaf H??llstr??min katu 2b) FIN-00014 University of Helsinki Finland Telephone: +358-9-191 51479 Mobile: +358 50 599 0540 Fax: +358-9-191 51400 WWW: http://www.RNI.Helsinki.FI/~boh/ Journal of Negative Results - EEB: www.jnr-eeb.org

...ity and Climate Research Centre Senckenberganlage 25 D-60325 Frankfurt am Main, Germany Tel: +49 69 798 40216 Mobile: +49 1515 888 5440 WWW: http://www.RNI.Helsinki.FI/~boh/ Blog: http://network.nature.com/blogs/user/boboh Google Wave: rni.boh@googlewave.com Journal of Negative Results - EEB: www.jnr-eeb.org [[alternative HTML version deleted]]

...ure? Bob -- Bob O'Hara Dept. of Mathematics and Statistics P.O. Box 4 (Yliopistonkatu 5) FIN-00014 University of Helsinki Finland Telephone: +358-9-191 23743 Mobile: +358 50 599 0540 Fax: +358-9-191 22 779 WWW: http://www.RNI.Helsinki.FI/~boh/ Journal of Negative Results - EEB: http://www.jnr-eeb.org

Hi Team, I using the syntax as: data.df<- data.frame( city= c(rep(c("Delhi", "Bangalore","Chandigarh"),each=5)), population= c(4000:6000,3500:4300,3000:3200) ) But i am getting the error as arguments imply differing number of rows: 15, 3003. Tried searching google but could not understand & find the solution. Thanks, Shivi [[alternative HTML version

...the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. -- Bob O'Hara NOTE NEW ADDRESS!!! Institutt for matematiske fag NTNU 7491 Trondheim Norway Mobile: +49 1515 888 5440 Journal of Negative Results - EEB: www.jnr-eeb.org

...the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. -- Bob O'Hara NOTE NEW ADDRESS!!! Institutt for matematiske fag NTNU 7491 Trondheim Norway Mobile: +49 1515 888 5440 Journal of Negative Results - EEB: www.jnr-eeb.org

Hello, i am a newby on R and i am trying to make a backward selection on a binomial-logit glm on a large dataset (69000 lines for 145 predictors). After 3 days working, the stepAIC function did not terminate. I do not know if that is normal but i would like to try computing a "homemade" backward with a repeated glm ; at each step, the predictor with the max pvalue would be

...Bob O'Hara Dept. of Mathematics and Statistics P.O. Box 68 (Gustaf H??llstr??min katu 2b) FIN-00014 University of Helsinki Finland Telephone: +358-9-191 51479 Mobile: +358 50 599 0540 Fax: +358-9-191 51400 WWW: http://www.RNI.Helsinki.FI/~boh/ Journal of Negative Results - EEB: http://www.jnr-eeb.org -------- Original Message -------- Subject: OpenBUGS Date: Wed, 29 Sep 2004 13:53:30 +0100 From: Andrew Thomas <ant at RNI.HELSINKI.FI> Reply-To: Andrew Thomas <ant at RNI.HELSINKI.FI> To: BUGS at JISCMAIL.AC.UK We would like to announce that OpenBUGS an open source version...

Please consider a data frame A B C D 1 4 5 0 2 3 2 75 3 4 1 84 4 5 1 90 5 3 0 100 Is there a way to plot column B and C as barplot *and* D as line on the same graph?? R-2.0.1 powered by Mandrake 10.1 ------------------------------------------------------------------------------------------------------------------------- Landini dr. Massimiliano Tel. mob. (+39) 347 140 11 94 Tel./Fax. (+39)

Does anyone know of example r-code/packages for carrying out analysis? Preferably this would have examples from real experimental data of two or more competing species... Thanks Chris Buddenhagen [[alternative HTML version deleted]]

I am executing the following loops in R 15.1.0 and the first one works and produces results. However, the second one is not with initiating the object as x[i]. Further, I was able to get the second loop work in R 15.0. Am I missing something here? for(i in 1:length(b)) {y[i]<-paste(a,b[i],c,sep="") print(y[i]) print(fromJSON(file=y[i],method="C")) } for(i in 1:length(b))

(Using BRugs 0.7-5, R 2.14.2 32-bit on 64-bit Windows 7, OpenBUGS 3.2.1) 1. BRugs crashes R for me as follows. Sorry about the lack of detail; please let me know if / how to supply a more useful bug report on this issue. fit <- BRugsFit(...) # BRugs and OpenBUGS runs fine, the parameter estimates are reasonable # across 3 chains samplesBgr("beta") # crash

Anybody know where I can get the Pinheiro/Bates book? I can't find a bookstore w/ stock and the publisher says they don't know when they'll have it again. Thanks. -Frank

Dear users, I'm trying to get a dot plot but always end up with a boxplot. Can someone please tell me what I am doing wrong? df <- structure(list(FACETTE = structure(c(1L, 1L, 1L, 1L, 2L, 2L, + 2L, 2L), .Label = c("base", "tip"), class = "factor"), Sq = c(274836, + 0.74182, 0.709205, 0.984552, 279869, 255712, 26566, 301464)), .Names = c("FACETTE",

I try to do a test for dirichlet process for Multivariate normal, but Winbugs always says "expected multivariate node", does that mean I miss something at initialization? I will really appreciate the help to solve this problem Here is the R code, and Winbugs code. model { for(i in 1:N){ y[i,1:2] ~ dmnorm(mu[i,],tau[i,,]) S[i] ~ dcat(pi[]) mu[i,1:2] <- mu.star[S[i],]

Hello, can anyone tell me if R has any special function for simulating the structure of human populations? Something like the genetic algorithm? I need to simulate a sample of a population with a specific structure. Is there something on R that can help me? Thanks to everyone. __________________________________________________________

Hi, I am trying to debug the following code: for (i in 1:10){ t <- paste("d0$V",i,sep="") t <- ifelse(regexpr(d1[i,1],d0$X0)>0,1,0) } and I would like to see what code is actually processing R, how can I do that? More to the point, I am trying to update my variables d0$V1 to d0$V10 according to the presence or absence of some text (contained in the file d1)

Hi. I am new here, and I am writing this Winbugs code with BRugs. n=length(bi.bmi) Lagegp=13 Lgen=2 Lrace=5 Lstra=15 Lpsu=2 #model gen x race bi.bmi.model=function(){ # likelihood for (i in 1:n){ bi.bmi[i]~ dbern(p[i]) logit(p[i])<- a0 + a1[agegp[i]]+a2[gen[i]]+a3[race[i]] + a12[agegp[i], gen[i]] + gam[stra[i]]+ u[psu[i],stra[i]] } # constraints for a1, a2, a3, a12 a1[1]<-0.0

...-- Bob O'Hara Department of Mathematics and Statistics P.O. Box 68 (Gustaf H??llstr??min katu 2b) FIN-00014 University of Helsinki Finland Telephone: +358-9-191 51479 Mobile: +358 50 599 0540 Fax: +358-9-191 51400 WWW: http://www.RNI.Helsinki.FI/~boh/ Journal of Negative Results - EEB: www.jnr-eeb.org