Avoid two for loops in R

Question

I have a R code that can do convolution of two functions...

convolveSlow <- function(x, y) {  
nx <- length(x); ny <- length(y)  
xy <- numeric(nx          


        

Answer 1

Some say the apply() and sapply() functions are faster than for() loops in R. You could convert the convolution to a function and call it from within apply(). However, there is evidence to the contrary http://yusung.blogspot.com/2008/04/speed-issue-in-r-computing-apply-vs.html