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...ides just checking the class inputs? Thirdly, I've looked into passing by reference in R, and some options come up, but in general they seem to be fairly complicated. I would like update to work more like my update function to work without having to return a a new object. Something like > statList = list(new("statisticInfo")) > updateStatistic(statList[[1]],3) > statList[[1]] #this would then have the updated one and not the old one. Anyways, The main reason I'm asking these questions is because I can't really find a good online resource for this. Any help would be...

...library(sigPathway) YANG <- read.table("All microarray MT_LAB.txt",header=T,sep="\t") attach(YANG) Y <- data.frame(TF134_1_3DAK,TF134_2_3DAK,WT1_3DAK,WT2_3DAK,row.names=locus_no) p <- c("1_trt","1_trt","0_norm","0_norm") statList <- calcTStatFast(Y,p,ngroups=2) hist(statList$pval,breaks=seq(0,1,0.025),xlab="p-value",ylab="Frequency",main="") set.seed(1234) YANG <- runSigPathway(yy,20,500,Y,p,nsim=100,weightType="constant",ngroup=2,npath=10,verbose=F,allpathway=F,alwaysUseR...

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I am a student who is doing empirical work for his thesis and trying to switch to R. I am familiar with Stata, and at the moment I am trying to replicate some of my previous work. I have a large unbalanced panel data set, observations for different countries between 1970 and 2007. My dependent variable is an overdispersed count. So far I have used fixed-effects negative binomial regression,