Dear R Experts
I've a function which involves multiple summations, and the number of
summations depends on a
random variable named (n-r), where n is known but r is random and r<n.
So, if , for example , n-r=3, the function is:
>n_r=3
>fx=function(x)sum(sapply(1:n_r, function(j1) {sum(sapply(1:(j1),
>function(j2){sum(sapply(1:(j2),
>function(j3){(j1>j2)*(j2>j3)/(x+exp(tc[j1]+tc[j2]+tc[j3])^4}))}))}))}
The value of r will be generated from a simulation process, so in one iteration
r may be equal to 0, and in another iteration it might be equal to 2 and so on,
and accordingly (n-r) is either 1, 2, or 3. And this makes the body of the
summation different every time.
Here's my trail code in the simple case when n=3:
library(nleqslv)
N=100;n=3
a=matrix(0,nrow=N,ncol=1)
for(i in 1:N){
tc=matrix(0, nrow=n, ncol=1)
t=matrix(0, nrow=n, ncol=1)
c=matrix(0,nrow=n,ncol=1)
for(j in 1: n){
t[j]=rexp(1,rate=3)
c[j]=rexp(1, rate =2)
if (t[j]>=c[j]) {tc[j]=t[j]}
}
n_r=nrow(tc)
if(n_r==1){fx=function(x)sum(sapply(1:n-3, function(j1){1/(x+exp(tc[j1]))^4}))
a[i]=nleqslv(0.5, fx)$x
}
if(n_r==2){fx=function(x)sum(sapply(1:n-2,
function(j1){sum(sapply(1:(j1),function(j2){(j1>j2)/(x+exp(tc[j1]+tc[j2]))^4}))}))
a[i]=nleqslv(0.5, fx)$x
}
if(n_r==3){fx=function(x)sum(sapply(1:n, function(j1) {sum(sapply(1:(j1),
function(j2){sum(sapply(1:(j2),
function(j3){(j1>j2)*(j2>j3)/(x+exp(tc[j1]+tc[j2]+tc[j3]))^4}))}))}))
a[i]=nleqslv(0.5, fx)$x
}
}
Is there any other way to write a loop that could be executed for any value of
r instead of putting the if () statement for each single value of r , as n may
take large values reaching 30, for instance.
Any help or recommendation for a reference that can help me would be
appreciated .
Thank you
Mahmoud Farid
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