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Hello All R Users, Function loglm() in library MASS can be cajoled to accomodate structural zeros in a cross-classification table. An example from Fienberg demonstrates how this can be done. My question is: Can the function glm() perform the same task? Can glm() estimate a log-linear model with fixed zeros like loglm()? Thanks for your help, Andrew ## Fienberg, The Analysis of Cross-Classified

How does one implement a likelihood-ratio test, to test whether the variances of the random effects differ between two groups of subjects? Suppose your data consist of repeated measures on subjects belonging to two groups, say boys and girls, and you are fitting a linear mixed-effects model for the response as a function of time. The within-subject errors (residuals) have the same variance in

Dear all, With the latest update of Hmisc I no longer have any problems with latex. However using the ctable option produces latex code that at least on both the miktex distribution at work and mactex distribution at home refuses to run due to an extra blank line inserted between the multicolumn lines in the latex code... It runs fine if the line is deleted or if the ctable option is left out.

Hey Guys, I just joined this list a couple days ago...what''s up with all the spam? I maintain about 8 or so googlegroups lists and have never received any <cross fingers>. Is this something to (unfortunately) look forward to? -- ______________________________________________________________ Clayton Dukes ______________________________________________________________

One of the products of Project MOSAIC (funded by an NSF CCLI grant) has been the development of an R package with the goal of making it easier to use R, especially in teaching situations. We're not quite ready to declare that we've reached version 1.0, but version 0.4 does represent a fairly large step in that direction. You can find out more about the package on CRAN or by installing

One of the products of Project MOSAIC (funded by an NSF CCLI grant) has been the development of an R package with the goal of making it easier to use R, especially in teaching situations. We're not quite ready to declare that we've reached version 1.0, but version 0.4 does represent a fairly large step in that direction. You can find out more about the package on CRAN or by installing

Dear all, I did post this more or less identical mail in a follow up to another question I posted, but under another heading. I try again, but now under the correct header. upon running this code (from the Hmisc library-latex function) I believe the call to summary.formula is allright and produces wonderful tables, but the latex command results in a correct formatted table but where all the

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Hi, lme() users, Can some one tell me how to do this. I model Orthodont with the same G for random variables, but different R{i}'s for boys and girls, so that I can get sigma1_square_hat for boys and sigma2_square_hat for girls. The model is Y{i}=X{i}beta + Z{i}b + e{i} b ~ iid N(0,G) and e{i} ~ iid N(0,R{i}) i=1,2 orth.lme <- lme(distance ~ Sex * age, data=Orthodont, random=~age|Subject,

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Suppose I have a binary outcome (disease/no disease and all subjects had the same period of exposure) and 2 or 3 (categorical) predictors. I can obviously build a logistic regression model which describes the data, possibly including interaction terms, on a relative scale: model<-glm(disease~sex*race*prematurity,family=binomial) 1) Is there any way to extract information on the absolute

Hehe, yeah, and the pr0n wasn't even that good :) I'm on one mailing list that has died and has no traffic except spam. Problem is it's not majordomo and I can'r get a response from anyone human to unsubscribe me :( Jase >>> scott@john.ikansas.com 05/29/01 21:10 PM >>> Nice, Statistics show that 3 out of the 4 lists I am subscribed to, 50% of them suffer

Hello all, I am working on a longitudinal study of children in the UK and trying the PAN package for imputation of missing data, since it fulfils the critical criteria of taking into account individual subject trend over time as well as population trend over time. In order to validate the procedure I have started by deleting some known values ?we have 6 annual measures of height on 300 children

I'm working on a quick tutorial for my students, and was planning on using Mann-Whitney U as one of the tests. I have the following (fake) data grade <- c("MVG", "VG", "VG", "G", "MVG", "G", "VG", "G", "VG") sex <- c( "male", "male", "female", "male",

Hi all, I have a problem with expiring sessions in the case with using mem_cache_store. I''ve been using ActiveRecord session store till now and expired them with SQL query. Yesterday I switched to memcache for storing sessions, however I can''t set an expireation period. My current config is this: ======================== memcache_options = { :c_threshold => 10_000,

Dear FLAC User's Mailing List, I'm Miguel A. Mota Jr., Co-Founder and President of the Woodrow Wilson High School Science & Technology Club in Camden, New Jersey USA. With a few small grants from Lucent Technologies/Bell Labs, we have developed a parallel-processing Linux Cluster (6 nodes) based on Red Hat 7.3 (2.4.18 kernel ) and openMosix clustering technology. Its not much,

Hi, I cant understand where I am going wrong.Below is my code.I would really appreciate your help. Thanks. > genfile<-read.table("c:/tina/phd/bs871/hw/genfile.txt",skip=1) > > #read in SNP data > snp.dat <- as.matrix(genfile) > snp.name <- scan("c:/tina/phd/bs871/hw/genfile.txt",nline=1,what="character") Read 100 items

How should I define the :onsuccess option in my - link_to_remote - tag, to execute a Js function I wrote : :success => "toggleButton(this, /db_bfilter/i);" ''this'' is the current element defined in my view : <span id="db_bfilter0" class="depressed"><%= filter_link_helper "This week" %></span> <span