Why on earth would you expect S and T to be the same given
what you have done. "I am unable to rightly apprehend the
confusion of ideas that could provoke such a question",
(Charles Babbage).
You have to set the *same* seed before each construction.
I.e. do set.seed(123) before creating S; then do set.seed(123)
again before creating T. If you do so, S and T will be
identical.
cheers,
Rolf Turner
P. S. "T" is not a good name for an object; too easy to confuse
with "TRUE". Not an egregious sin, but to be avoided.
R. T.
On 02/01/14 11:12, Chee Chen wrote:
Dear All,
I would like to ask for your help on "reproducibility of random sampling with
replacement". For example, one re-samples the rows with replacement of a residual
matrix and uses the new residual matrix thus obtained to produce a statistic ; repeat
this for a certain number of times.
My questions: will the above produce ever be reproducible by setting a seed?
Namely, Given the same residual matrix, Ted applies the above process and so
does Jack, will they get the same results by setting a seed?
My attempt: setting seed does not freeze the command "sample" from getting
different samples, as from the codes:
====
x= 1:20
S = matrix(0,5,20)
for (i in 1:5) {
S[i,] = sample(x, replace=FALSE)
}
set.seed(123)
T = matrix(0,5,20)
for (i in 1:5) {
T[i,] = sample(x, replace=FALSE)
}
sum(S==T)
===
I would appreciate any comments and/or suggestions on this.
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