Re: [R] Simulation based on runif to get mean
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]]
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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
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and provide commented, minimal, self-contained, reproducible code.
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and provide commented, minimal, self-contained, reproducible code.
Re: [R] Simulation based on runif to get mean
Or a shorter version of Rui's approach:
set.seed(2511)# Make the results reproducible
fun <- 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 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/posti
>>> ng-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/posti
> ng-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.
Re: [R] Simulation based on runif to get mean
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.
Re: [R] Simulation based on runif to get mean
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
--
Daniel Nordlund
Port Townsend, WA USA
__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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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.
[R] Simulation based on runif to get mean
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.
