Percentile Calculation Bug?

[pigubaoza]

Given a slice a := []float64{0, 300, 600}
stats.Percentile(a, 50) should return 300. However it returns 150.

[pigubaoza]

i think it's fixed here
#72

[JojoFlower]

the fix has not been released yet @montanaflynn
given a := []float64{1, 2, 3}
stats.Percentile(a, 50) should return 1.5 instead of 2 🙏

[montanaflynn]

I think this is just a case of two different percentile algorithm's. Do you have a reference to the percentile algo that produces 1.5? The output should be 2 according to numpy and wolframalpha:

import numpy as np
a = np.array([1, 2, 3])
print(np.percentile(a, 50))
// 2

https://www.wolframalpha.com/input?i=50th+percentile+of+1%2C+2%2C+3

[pigubaoza]

yes i believe for {0, 300, 600}, it should be 300, and for {1, 2, 3}, it should be 2.
@JojoFlower please correct us if it's wrong.

@montanaflynn is the fix (along with all the other merged pull requests), ready to be released yet?