Hi,
Can anyone help me with the following. I have been using R for Monte
Carlo simulations and got some results I couldn't explain. Therefor I
performed following short test:
--
mean.sds - NULL
sample.sizes - 3:30
for(N in sample.sizes){
dum - NULL
for(I in 1:5000){
x -
Where in the help file of sd() do you see the claim that it produces
unbiased estimate? Try the following:
sample.sizes - 3:30
reps - 5000
set.seed(1)
mean.vars - sapply(sample.sizes,
function(n) mean(sd(matrix(rnorm(n*reps), nc=reps))^2))
plot(sample.sizes,mean.vars)
I.e.,
Roy Werkman [EMAIL PROTECTED] writes:
Hi,
Can anyone help me with the following. I have been using R for Monte
Carlo simulations and got some results I couldn't explain. Therefor I
performed following short test:
--
mean.sds - NULL
sample.sizes - 3:30
for(N in
