similar to: How to write a function?

To whom this may concern, I am having issues installing a program called "SAM" (Statistical Analysis of Microarrays) which is an excel add in and requires the use of R. Due to the firewall at my hospital, R cannot connect to a mirror and therefore cannot install necessary files for the complete installation of SAM. The IT department has asked me which "port" needs to be opened

hi, do somebody tell me, where i could find information about samba restrictions compared with Windows Server. I' m trying to write a small paper for school, which describe a comarison between samba and Windows Server. I heard for example, that 1-Samba is not adapted for great nets? 2-Samba has not a "system management server" like windows? 3-Remote Procedure Calls (RPCs) has been

Hi all! Do anybody has a full working environment using externip on an asterisk box behind a nat? I tried with two diferent boxes (Elastix-1.4.24 e Trixbox-1.4.22-3)and the asterisk do not replace neither contact, neither sdp headers info with the externip informed on sip.conf general parameters. I used these two statements: externip=XXX.XXX.XXX.XXX localnet=192.168.200.0/255.255.255.0 Do

>Hello, I am hoping for assistance in regards to examining the contribution of stratified variables in a cox regression. A previous post by Terry Therneau noted that "That is the point of a strata; you are declaring a variable to NOT be proportional hazards, and thus there is no single "hazard ratio" that describes it". Given this purpose of stratification, in the

Hi All, I'm using R's randomForest package (and it's quite awesome!) but I'd really like to do some stratified sampling with a regression problem. However, it appears that the package was designed to only accommodate stratified sampling for classification purposes (see https://stat.ethz.ch/pipermail/r-help/2006-November/117477.html). As Andy suggests in the link just

Hi all: For stratified count data,how to perform regression analysis? My data: age case oc count 1 1 1 21 1 1 2 26 1 2 1 17 1 2 2 59 2 1 1 18 2 1 2 88 2 2 1 7 2 2 2 95 age: 1:<40y 2:>40y case: 1:patient 2:health oc: 1:use drug 2:not use drug My purpose: Anaysis whether case and

Hi, I’m new to R (just installed today) and I’m trying to figure out how to do stratified randomisation using it. My google search expedition has lead me to believe that blockrand package will most probably be the answer to it. I’ve played around with blockrand for awhile and tried the sample code: library(blockrand) ##stratified by sex male <- blockrand(n=100,

I am wondering how to obtain SE estimates for fixed effects from a nonlinear mixed effects model? I have fixed effects corresponding to three factors A, B and C with 2, 3 and 3 levels respectively. I have fit a model of the following general form: nlme1<-nlme(y~ SasympOrig(x, Asym, lrc), data=df, fixed=list(Asym~A*B*C, lrc~A*B*C), start=c(fixef(ETR.nlme)[1], rep(0,17), fixef(ETR.nlme)[2],

This is a follow-up to a query that was posted regarding some problems that emerge when running anova analyses for cox models, posted by Mathias Gondan: Matthias Gondan wrote: >* Dear List,*>**>* I have tried a stratified Cox Regression, it is working fine, except for*>* the "Anova"-Tests:*>**>* Here the commands (should work out of the box):*>**>*

Hello, I am using Dr. Harrell's design package to make a nomogram. I was able to make a beautiful one without stratifying, however, I will need to stratify to meet PH assumptions. This is where I go wrong, but I'm not sure where. Non-Stratified Nomogram:

Dear R community, I have data on beta&standard error (for the main effect of variable x), stratified by sex for my dataset. I wish to calculate the sex-interaction effect (as beta&se) from these two stratified datasets. Is there a package to do this? If not, any advice how to do it manually? Thank you very much and best regards, Georg. ************************ Georg Ehret, JHU,

I am getting random disconnects from my imap session, dificulties to revconnect, very sluggish behaviour when changing between mail folders also frequent and rapidly repititive messages on te client "mailserver x.x.x.x is not a imap4 server" I am running dovecot 1.0.rc2 from ports on OpenBSD 4.0 on a PIII, 500MHz 512MB My set up is very small - a webserver with a single imap account on

Hi, I am trying to use CART to find an ideal cut-off value for a simple diagnostic test (ie when the test score is above x, diagnose the condition). When I put in the model fit=rpart(outcome ~ predictor1(TB144), method="class", data=data8) sometimes it gives me a tree with multiple nodes for the same predictor (see below for example of tree with 1 or multiple nodes). Is there a way

I?m trying to set up proportional hazard model that is stratified with respect to covariate 1 and has an interaction between covariate 1 and another variable, covariate 2. Both variables are categorical. In the following, I try to illustrate the two problems that I?ve encountered, using the lung dataset. The first problem is the warning: To me, it seems that there are too many dummies

Hi, I have a dataset with 2194651x135, in which all the numbers are 0,1,2, and is bar-delimited. I used the following approach which can handle 100,000 lines: t<-scan('fv', sep='|', nlines=100000) t1<-matrix(t, nrow=135, ncol=100000) t2<-t(t1) t3<-as.data.frame(t2) I changed my plan into using stratified sampling with replacement (col 2 is my class variable: 1 or 2).

Dear R Team, I am a new R user and I am currently trying to subset my data under a special condition. I have went through several pages of the subsetting section here on the forum, but I was not able to find an answer. My data is as follows: ID NAME MS Pol. Party 1 John x F 2 Mary s S

I observe dificulties with using data.frame(I(matrix)) > mat <- matrix(letters, 2, 2) > dimnames(mat) <- list(c(1:2), c("x","y")) > mat x y 1 "a" "c" 2 "b" "d" > dd <- data.frame(I(mat)) > ddd I.mat..x I.mat..y 1 a a 2 b b 3 c c doesn't look too bad, but, has

Dear all, I used cph() function from Frank harrell's Design package to create a survival model, then used functions 'Function' and 'sascode' to generate prediction equation based on the saved survival model. But it failed. I included a stratified variable in the model. If I removed the stratification, they were working well. Does that mean that function 'Function'

Hi, Has anyone done (or know of) any nice R activities that help introductory students ( and teachers :) ) better understand the concepts of simple vs stratified vs cluster sampling? Any links? David -- View this message in context: http://r.789695.n4.nabble.com/SRS-Stratified-and-Cluster-sampling-tp4655099.html Sent from the R help mailing list archive at Nabble.com.

Dear List, I have tried a stratified Cox Regression, it is working fine, except for the "Anova"-Tests: Here the commands (should work out of the box): library(survival) d = colon[colon$etype==2, ] m = coxph(Surv(time, status) ~ strata(sex) + rx, data=d) summary(m) # Printout ok anova(m, test='Chisq') This is the output of the anova command: > Analysis of Deviance Table