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...out to a set size of 10,0000. I'm just wondering if there is a statistical explanation out there for this convergence and it has been explored further. Thanks again. # First case N<-100000 X<-rnorm(N) step_size<-1 # Groups g<-rep(1:(N/step_size),each=step_size) # The result tmp_output<-tapply(X[1:length(g)],g,mean) length_tmp_output<-length(tmp_output) tmp_x_vals<-rep(step_size,length_tmp_output) plot(tmp_x_vals, tmp_output, xlim=c(0,10000)) #points(tmp_x_vals, tmp_output) for(ii in 1:10000) { step_size<-ii # Groups g<-rep(1:(N/step_size),each=step_size)...

Here is the bulk of the sanitizing. My residual doubts center around the question whether we still do/want to support (un)compressed *byte*code in 2.0/2.1. I need a definitive word on this to proceed. My understanding is that bytecode is already gone, but there are still some functions/enums that really deal with *byte*code (instead of *bit*code). I did not touch those areas, so the attached