search for: fph

I am caught in a mental trap. Why isn't the between groups variance estimated (0.0038) to be around the value with which I generated the data (0.0002)? Thanks Toby set.seed(76589437887) fph = 0.4 Sigh = sqrt(0.0002) Sigi = sqrt(0.04) ci = 1 fpi = matrix(,7200,3) for (i in 1:90) { fph = rnorm(1, fph, Sigh) for (k in 1:80) { fpi[ci,1:3] = matrix(c(i, k, rnorm(1, fph, Sigi)),1) ci = ci+1 } } colnames(fpi) = c("hospid", "empid", "fpi1") dta = as.dat...

Hi. The patch I send before was too large so that it was dropped from the maling list. I'm sending again with smaller size. This patch set is the xen paravirtualization of hand written assenbly code. And I expect that much clean up is necessary before merge. We really need the feed back before starting actual clean up as Eddie already said before. Eddie discussed how to clean up and suggested

Hi. The patch I send before was too large so that it was dropped from the maling list. I'm sending again with smaller size. This patch set is the xen paravirtualization of hand written assenbly code. And I expect that much clean up is necessary before merge. We really need the feed back before starting actual clean up as Eddie already said before. Eddie discussed how to clean up and suggested