w*******9
发帖数: 1433 | 1 Hi all, I am using the mclapply function in the multicore package in R. I am
doing a simulation study which requires 10000 replicates. How should I set
the seed so that the other people can reproduce my result? I tried the
following code but it gives me different output every time I run it.
set.seed(123)
mclapply(1:3, rnorm, mc.set.seed=T) | t*****w
发帖数: 254 | 2 set.seed(123)
x<-rnorm(10000)
mclapply(1:3, x, mc.set.seed=T)
am
set
【在 w*******9 的大作中提到】
: Hi all, I am using the mclapply function in the multicore package in R. I am
: doing a simulation study which requires 10000 replicates. How should I set
: the seed so that the other people can reproduce my result? I tried the
: following code but it gives me different output every time I run it.
: set.seed(123)
: mclapply(1:3, rnorm, mc.set.seed=T)
| w*******9
发帖数: 1433 | 3 Thanks for your reply, but it doesnt work. I guess you mean I need to first
generate the data in the usual way and then pass the data to MY_FUNCTION.
That does not quite fit my need. I want to generate the random data in MY_
Function.
【在 t*****w 的大作中提到】
: set.seed(123)
: x<-rnorm(10000)
: mclapply(1:3, x, mc.set.seed=T)
:
: am
: set
| l*********3
发帖数: 22 | 4 mc.set.seed=F
first
【在 w*******9 的大作中提到】
: Thanks for your reply, but it doesnt work. I guess you mean I need to first
: generate the data in the usual way and then pass the data to MY_FUNCTION.
: That does not quite fit my need. I want to generate the random data in MY_
: Function.
|
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