naive
import mir.math.common: pow; import mir.math.sum: Summation; import mir.ndslice.slice: sliced; import mir.test: shouldApprox; auto x = [0.0, 1.0, 1.5, 2.0, 3.5, 4.25, 2.0, 7.5, 5.0, 1.0, 1.5, 0.0].sliced; SkewnessAccumulator!(double, SkewnessAlgo.naive, Summation.naive) v; v.put(x); v.skewness(true).shouldApprox == (117.005859 / 12) / pow(54.765625 / 12, 1.5); v.skewness(false).shouldApprox == (117.005859 / 12) / pow(54.765625 / 11, 1.5) * (12.0 ^^ 2) / (11.0 * 10.0); v.put(4.0); v.skewness(true).shouldApprox == (100.238166 / 13) / pow(57.019231 / 13, 1.5); v.skewness(false).shouldApprox == (100.238166 / 13) / pow(57.019231 / 12, 1.5) * (13.0 ^^ 2) / (12.0 * 11.0);