search for: f3v

...%f2 %f3 = getelementptr %sTy* %sVal, i32 0, i32 2 store double 0x41CD6F34588147AE, double* %f3 %f1a = getelementptr %sTy* %sVal, i32 0, i32 0 %f1v = load i32* %f1a %f2a = getelementptr %sTy* %sVal, i32 0, i32 1 %f2v = load double* %f2a %f3a = getelementptr %sTy* %sVal, i32 0, i32 2 %f3v = load double* %f3a call void @print(i32 %f1v, double %f2v, double %f3v) ret void } The GVN pass is able to eliminate %f1a, %f2a and %f3a but not any of the loads. Here is the result of running the GVN pass: define void @testFunc() { entry: %sVal = alloca %sTy %f1 = getelementptr %sTy* %s...

...'s some example code with variance simulated in level 2 and spurious variance appearing frequently in level 1: library(nlme) # 4 level nesting simVar <- c(0,1,0,.1) # first is level one, last becomes error nAtLevel <- c(5,5,5,5) # number of replicates at each level F1V <- F2V <- F3V <- residV <- numeric(0) for (rep in 1:100){ F1f <- F2f <- F3f <- value <- numeric(0) mn <- numeric(length(nAtLevel)) # data generator for (F1 in 1:nAtLevel[1]) { mn[1] <- rnorm(1,sd=simVar[1]) # set mean for level 1 for (F2 in 1:nAtLevel[2]) { m...

...many cases the level 1 estimate is close to level 2's. Nothing like that happens in level 3. I use R 1.8.1 & Win2000. Since I last posted, I have also seen these symptoms in SAS when I use PROC VARCOMP, although I haven't explored it much there. library(nlme) F1V <- F2V <- F3V <- residV <- numeric(0) for (rep in 1:500){ F1f <- F2f <- F3f <- value <- numeric(0) # data generator for (F1 in 1:5) { for (F2 in 1:5) { lev2 <- rnorm(1,sd=1.0) for (F3 in 1:5) { for (F4 in 1:5) { lev4 <- rnorm(1,sd=0.1)...