On Aug 18, 2010, at 10:46 PM, Philip Wong wrote:
well to be honest, it is a assignment for the Bayesian statistic
paper I wish
to take later in the academic year. But I'm a slow learner, so I'm
going to
try out some of the assignments posted in the university forum
hoping to get
some practice in advance.
Could you please elaborate more on the set.seed() function, I
understood
from the ?set.seed the general idea of set.seed (if I didn't
misunderstood
it). I could stimulate a six side dice by set.seed(1:6) with n
number of
runs using runif(), does that meant if I use set.seed() I don't need
to use
the prob=c(1,1,2,3,2,1)/10) to create my bias dice?
No. set.seed()'s only purpose is to fix the RNG in a predictiable
starting state so that the reuslts of one or more simulation runs can
be recreated exactly.
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