On 1/30/21 8:26 PM, Shaami wrote:
Hi
I have very large dependent nested for loops that are quite expensive
computationally. It takes weeks and does not end to give me results. Could
anyone please guide how could I use apply function or any other suggestion
for such big and dependent loops in R? A sample code is as follows.
w = NULL
for(j in 1:1000)
{
x = rnorm(2000)
z = x[1]
for(i in 2:2000)
{
z = x[i]+5*z[i-1]
I'm guessing you meant to type:
z[i] <- x[i]+5*z[i-1]
if(z>4 | z<1) {
And more guesses (in the absence of any sort of problem description)
that you really wanted:
if(z[i]>4 | z[i]<1) { ....
w[j]=i
break
} else {
w[j] = 0
}
}
}
Are you sure you need a for-loop? Seems like you could have done this
with a couple of vectorized operations. And the `break` looked entirely
superfluous.
Thank you
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