R help - Mar 2008 - (no subject)

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.

Try this, but I don't understand what you are doing.  I am at a loss.


y<-c(1,0,2)
n<-rep(2,length(y))
z1<-rep(1,length(y))
z2<-c(1,0,1)
mydata<-as.data.frame(cbind(n,y,z1,z2))




-- 
Let's not spend our time and resources thinking about things that are
so little or so large that all they really do for us is puff us up and
make us feel like gods. We are mammals, and have not exhausted the
annoying little problems of being mammals.

	-K. Mullis