Comments (4)
I'd like to see the functions complexity. But that would demand a big leap. I recommend opening a milestone for that.
from r-functions-performance.
Do you know a way to do it without reading all source code?
from r-functions-performance.
Yes, each function should be tested with inputs of different size. For example, the sum receives a vector as input, so testing with vectors of length 1, 10, 100, 1000 ... would give us a good insight of how the function behaves. Also, changing the magnitude of the numbers in the vector would be interesting to check.
from r-functions-performance.
I think we should define what is our goal.
I mean, the whole point is provide information to improve your performance when you are using this in "real life". That's why we are trying to simulate real life situations with a dataset with "flaws".
If we use vectors with different sizes, i don't think we'll get the core information we need. Performance in small data is irrelevant when we consider huge datasets.
TL;DR I think we should put this as second plan
from r-functions-performance.
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from r-functions-performance.