I have a problem, would really appreciate if anyone could help me. I am trying to use bootstrap to resample a dataframe n then use that sample of dataframe to calcuate parameter estimates using betabinomial model. I am kind of lost coz the bootstrap function requires us to give statistic (A function which when applied to data returns a vector containing the statistic(s) of interest) .
my dataframe looks like : y<-c(1,0,2,2,1,0,1) n<-rep(2,length(y)) z1<-rep(1,length(y)) z2<-(1,0,1,1,1,1,0) mydata<-as.data.frame(cbind(n,y,z1,z2)) now ! this dataframe has seven observations . i want to get smaller dataframe say with 3 observations instead of seven and then use it to fit betabinomila model .. i want to uses boot (to generate bootstrap sample) and then for each sample i have to fit betabinomial model ( using betabin and extract regression co-efficients...) and finally report avg of these regression co-efficients along with average SE . Can someone plz help. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
