similar to: R package that has (much) the same capabilities as SAS v9 PROC GENMOD

Hi, I'm wanting to exclude data more than 2 sd's from the mean before proceeding with further analyses. I've created new logical variables (a and b) and written them to the existing dataframe. I want to be able to subset the TRUE observations based on another 2 factor variable. I'm assuming this is possible, but I don't know what I'm doing wrong, as I get results that

Hello, I have different results from these two softwares for a simple binomial GLM problem. >From Genmod in SAS: LogLikelihood=-4.75, coeff(intercept)=-3.59, coeff(x)=0.95 >From glm in R: LogLikelihood=-0.94, coeff(intercept)=-3.99, coeff(x)=1.36 Is there anyone tell me what I did wrong? Here are the code and results, 1) SAS Genmod: % r: # of failure % k: size of a risk set data

Hello, I have to run a general linear mixed model which looks at 2 dependent variables at the same time (var1 divided by var2). I have tryed to search for such a kind of model structure but since I just started using R my search was not successful. Especielly since I only have an old SAS GENMOD code structure from my project supervisor as an indication. My question is no, does there exist a code

List: I'm helping a colleague with some Poisson regression modeling. He uses SAS proc GENMOD and I'm using glm() in R. Note on the SAS and R output below that our estimates, standard errors, and deviances are identical but what we get for likelihoods differs considerably. I'm assuming that these must differ just by some constant but it would be nice to have some confirmation

Hello R-users: I am using "yags" for fitting GEE which is giving me the same result as "Proc GENMOD". Now I have couple of questions related to yags output. (By the way, someone told me to run the geeglm for the same analysis and I did run but did not get the same result as of genmod and don't know how to correct the geeglm codes so that all three will be same!)

Hello Everybody: I am searching for an R package for fitting Generalized Estimating Equations (GEE) with weights (i.e. Weighted Estimating Equations). From the R documentation I found "geese(geepack)" for fitting Generalized Estimating Equations. In this documentation, under the paragraph “weights” it has been written, “an optional vector of weights to be used in the fitting process.

Hi all, I have a set of 3D statistical parametric maps derived from an fMRI experiment in which we have two levels of dependency. - All subjects were scanned twice. - All subject are dizygotic (non-identical) twins. For every single scan (and thus statical map) we have a behavioural measure, which we would like to regress against the set of maps, while correcting for the dependency between

Dear Lister I need to perform Generalized estimating equations on some data. Has 'R' any function or routine to do it? (GEE is same as GLM but with correlated y's) Thanks in advance Mostafa _________________________________________________________________ Protect your PC - get McAfee.com VirusScan Online http://clinic.mcafee.com/clinic/ibuy/campaign.asp?cid=3963

i'm trying to learn R. i have no programing experience. i tried to add on a package and just picked "yags". i can't get it to work or get any help. --- > install.packages("yags") Warning in install.packages("yags") : argument 'lib' is missing: using 'C:\Documents and Settings\j\My Documents/R/win-library/2.6' trying URL

Here is an example given from ?yags library(methods) data(stackloss) Y1 <- yags(stack.loss~Air.Flow,id=1:21, data=stackloss) How can I access parts of the output. I tried: > str(Y1) Formal class 'yagsResult' [package "yags"] with 25 slots ..@ coefficients : num [1:2] -44.13 1.02 ..@ coefnames : chr(0) > Y1$coefnames Error in Y1$coefnames : $

Hi A quick question. Standard errors reported by gee/yags differs from the ones in geeglm (geepack). require(gee) require(geepack) require(yags) mm <- gee(breaks ~ tension, id=wool, data=warpbreaks, corstr="exchangeable") mm2 <- geeglm(breaks ~ tension, id=wool, data=warpbreaks, corstr="exchangeable", std.err = "san.se") mm3 <- yags(breaks ~

Dear R users, I search the R archives and noted that the same problem has been posted but without solution. I know there IS instructions by the author of yags, but I just couldn't figured out. I know gee and geepack can also perform generalized estimating equation, but the reason why I need yags is I want to perform a Small Sample Adjustments by Michael P. Fay and Barry I. Graubard in

Dear R-ers, I am just a simple 'end-user' of R and am trying to analyse data with a binary response variable (dead or alive) in relation to weight and sex (of young birds). As some of the birds have the same biological mother, I am using mixed models with the identity of the mother as a random factor. (please, Mick Crawley, when are you going to write a chapter on mixed models with binary

Dear R-ers, I am just a simple 'end-user' of R and am trying to analyse data with a binary response variable (dead or alive) in relation to weight and sex (of young birds). As some of the birds have the same biological mother, I am using mixed models with the identity of the mother as a random factor. (please, Mick Crawley, when are you going to write a chapter on mixed models with binary

I have included data at the bottom of this email. It can be read in by highlighting the data and then using this command: dat <- read.table("clipboard", header = TRUE,sep="\t") I can obtain solutions with both of these: library(gee) fit.gee<-gee(score ~ chem + time, id=id, family=gaussian,corstr="exchangeable",data=dat) and library(yags) fit.yags <-

Full_Name: Markus Jantti Version: 1.5.1 OS: GNU/Linux Unstable (Sid) Submission from: (NULL) (193.166.59.44) I was trying to get the package yags 3.20 by Vince Carey <stvjc@channing.harvard.edu> to run, but - after successfull installation -- loading the library failed with the message > library(yags) Error in stop(paste("Duplicated slot names: ", paste(slots[duplicated(slo

I have read in a file (call it myData). The actual file is about 3000x30,000 columns and object.size() says myData takes: > 737910472/(1024^2) [1] 703.7263 Unfortunately, my program ends up using 40GB as indicated by maxvmem on Unix, which causes my department's cluster to stop working. Perhaps, I have some copying going on that I cannot find. I have created an example below that mimics

hi ! my systems started to behave weird today. i am running a debian/linux-fileserver (woody/2.4.18) that exports the user-homes and acts as a PDC via samba (2.2.4 --with-ldapsam) to my windoze-clients (w2k/nt). i am using ldap as authentification database. everything worked like a charme, until today. suddenly some users cannot authenticate against the windoze-machines any more. other users

hi ! sorry for posting this question, i think it is an easy one, but i cannot get the answer myself. i am using samba-2.2.3a + ldap running on a debian system with w2k-clients. now the problem is: everytime i log into my w2k-client, i get something like "your password expires today! would you like to change it ??" well, i do not really want to change my password everytime i log in,

Hello. I am attempting to duplicate a negative binomial regression in R. SAS uses generalized estimating equations for model fitting in the GENMOD procedure. proc genmod data=mydata (where=(gender='F')); by agegroup; class id gender type; model count = var1 var2 var3 /dist=NB link=log offset=lregtm; repeated subject=id /type=exch; run; Since my dataset has several observations for