Hello,
Right. Missed that one.
Rui Barradas
Enviado a partir do meu smartphone Samsung Galaxy.-------- Mensagem original
--------De: Eric Berger <ericjber...@gmail.com> Data: 30/01/2018 10:12
(GMT+00:00) Para: Rui Barradas <ruipbarra...@sapo.pt> Cc: Daniel Nordlund
<djnordl...@gmail.com>, smart hendsome <putra_autum...@yahoo.com>,
r-help@r-project.org Assunto: Re: [R] Simulation based on runif to get mean
Or a shorter version of Rui's approach:
set.seed(2511) # Make the results reproduciblefun <- function(n){ f <-
function(){ c(mean(runif(5,1,10)),mean(runif(5,10,20))) } replicate(n,
f())}fun(10)
On Tue, Jan 30, 2018 at 12:03 PM, Rui Barradas <ruipbarra...@sapo.pt> wrote:
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]]
______________________________________________
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.
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.
[[alternative HTML version deleted]]
______________________________________________
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.
