Stable release

This is now a stable version, with the following API

Functions
mean(x: list) -> float
median(x: list) -> float
variance(x: list) -> float
standard_deviation(x: list) -> float
covariance(x: list, y: list) -> float
correlation(x: list, y: list) -> float
rsquared(x: list, y: list) -> float
ordinary_least_square(x: list, y: list) -> (float, float)
linear_forecast(slope: float, intercept: float, value: float) -> float
residuals(slope: float, intercept: float, x: float, y: float) -> float
linear_regression(x: list, y: list) -> LinearRegression

First release v0.0.1

I lacked a very simple lib for statistics (and was not really happy about the ones I found) so here it is. It provides really simplistic float computation statistics indicators.

Supported functions

Functions	Examples
mean(x: list) -> float	mean([1, 2, 3, 4, 5])
median(x: list) -> float	median([5, 2, 6, 4, 1, 3])
variance(x: list) -> float	variance([1, 2, 3, 4, 5])
standard_deviation(x: list) -> float	standard_deviation([1, 2, 3, 4, 5])
covariance(x: list, y: list) -> float	covariance([1, 2, 3, 4, 5], [1, 2, 3, 4, 5])
correlation(x: list, y: list) -> float	correlation([1, 2, 3, 4, 5], [1, 2, 3, 4, 5])
rsquared(x: list, y: list) -> float	rsquared([1, 2, 3], [-1, -2, -3])
linear_regression(x: list, y: list) -> dict	linear_regression([1, 2, 3, 4, 5], [4, 4.5, 5.5, 5.3, 6])