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.
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______________________________________________ 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.