Hello,
Another way would be to use ?replicate and ?colMeans.
set.seed(2511) # Make the results reproducible
fun <- function(n){
f <- function(){
a <- runif(5, 1, 10)
b <- runif(5, 10, 20)
colMeans(cbind(a, b))
}
replicate(n, f())
}
fun(10)
Hope this helps,
Rui Barradas
On 1/30/2018 8:58 AM, Daniel Nordlund wrote:
On 1/29/2018 9:03 PM, smart hendsome via R-help wrote:
Hello everyone,
I have a question regarding simulating based on runif. Let say I have
generated matrix A and B based on runif. Then I find mean for each
matrix A and matrix B. I want this process to be done let say 10
times. Anyone can help me. Actually I want make the function that I
can play around with the number of simulation process that I want.
Thanks.
Eg:
a <- matrix(runif(5,1, 10))
b <- matrix(runif(5,10, 20))
c <- cbind(a,b); c
mn <- apply(c,2,mean); mn
Regards,
Zuhri
[[alternative HTML version deleted]]
______________________________________________
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PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Here is a straight forward implementation of your code in a function
with a parameter for the number simulations you want to run.
sim <- function(n){
mn <- matrix(0,n, 2)
for(i in 1:n) {
a <- runif(5,1, 10)
b <- runif(5,10, 20)
c <- cbind(a,b)
mn[i,] <- apply(c, 2, mean)
}
return(mn)
}
# run 10 iterations
sim(10)
In your case, there doesn't seem to be a need to create a and b as
matrices; vectors work just as well. Also, several of the statements
could be combined into one. Whether this meets your needs depends on
what your real world task actually is.
Hope this is helpful,
Dan
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
