Calculate median in c#

Looks like other answers are using sorting. That’s not optimal from performance point of view because it takes O(n logn) time. It is possible to calculate median in O(n) time instead. The generalized version of this problem is known as “n-order statistics” which means finding an element K in a set such that we have … Read more

Calculating median – javascript

Change your median method to this: function median(values){ if(values.length ===0) throw new Error(“No inputs”); values.sort(function(a,b){ return a-b; }); var half = Math.floor(values.length / 2); if (values.length % 2) return values[half]; return (values[half – 1] + values[half]) / 2.0; } fiddle

Rolling median algorithm in C

I have looked at R’s src/library/stats/src/Trunmed.c a few times as I wanted something similar too in a standalone C++ class / C subroutine. Note that this are actually two implementations in one, see src/library/stats/man/runmed.Rd (the source of the help file) which says \details{ Apart from the end values, the result \code{y = runmed(x, k)} simply … Read more

“On-line” (iterator) algorithms for estimating statistical median, mode, skewness, kurtosis?

I use these incremental/recursive mean and median estimators, which both use constant storage: mean += eta * (sample – mean) median += eta * sgn(sample – median) where eta is a small learning rate parameter (e.g. 0.001), and sgn() is the signum function which returns one of {-1, 0, 1}. (Use a constant eta if … Read more