|
|
|
|
|
by mellavora
1547 days ago
|
|
Example, please? This seems highly unlikely, based on my 20+ years with R. Yes, using wrong data structures/algorithms can lead to slow code, but switching languages won't fix this. rprof and microbenchmark are your friends if you really need to optimize your code. and (as in python, and as several others have pointed out), if you have something especially challenging, write it in C/C++/fortran instead, and link it to R. |
|