Most of the time was being spent within the 'sapply' call. Here is a
list from Rprof:
0 18.4 root
1. 18.4 system.time
2. . 12.9 A1
3. . . 12.9 sapply
4. . . . 12.9 lapply
5. . . . | 12.9 FUN
6. . . . | . 12.9 sapply
7. . . . | . . 12.9 lapply
8. . . . | . . . 12
Bryan Keller wrote:
>
> The following recursion is about 120 times faster in C#. I know R is not
> known for its speed with recursions but I'm wondering if anyone has a tip
> about how to speed things up in R.
>
> #"T" is a vector and "m" is a number between 1 and sum(T)
>
> A <- function(T,
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