Is there a way to implement list comprehension in R?
Like python:
sum([x for x in range(1000) if x % 3== 0 or x % 5== 0])
same in H
This list comprehension of the form:
[item for item in list if test]
is pretty straightforward with boolean indexing in R. But for more complex expressions, like implementing vector rescaling (I know this can be done with scales package too), in Python it's easy:
x = [1, 3, 5, 7, 9, 11] # -> [0.0, 0.2, 0.4, 0.6, 0.8, 1.0]
[(xi - min(x))/(max(x) - min(x)) for xi in x]
But in R this is the best I could come up with. Would love to know if there's something better:
sapply(x, function(xi, mn, mx) {(xi-mn)/(mx-mn)}, mn = min(x), mx = max(x))