fn freq(arr []f64, val f64) int
TODO: Implement all of them with generics This module defines the following statistical operations on f64 array --------------------------- | Summary of Functions | --------------------------- ----------------------------------------------------------------------- freq - Frequency mean - Mean geometric_mean - Geometric Mean harmonic_mean - Harmonic Mean median - Median mode - Mode rms - Root Mean Square population_variance - Population Variance sample_variance - Sample Variance population_stddev - Population Standard Deviation sample_stddev - Sample Standard Deviation mean_absdev - Mean Absolute Deviation min - Minimum of the Array max - Maximum of the Array range - Range of the Array ( max - min ) ----------------------------------------------------------------------- Measure of Occurance Frequency of a given number Based on https://www.mathsisfun.com/data/frequency-distribution.html
fn geometric_mean(arr []f64) f64
Measure of Central Tendancy Geometric Mean of the given input array Based on https://www.mathsisfun.com/numbers/geometric-mean.html
fn harmonic_mean(arr []f64) f64
Measure of Central Tendancy Harmonic Mean of the given input array Based on https://www.mathsisfun.com/numbers/harmonic-mean.html
fn max(arr []f64) f64
Maximum of the given input array
fn mean(arr []f64) f64
Measure of Central Tendancy Mean of the given input array Based on https://www.mathsisfun.com/data/central-measures.html
fn mean_absdev(arr []f64) f64
Measure of Dispersion / Spread Mean Absolute Deviation of the given input array Based on https://en.wikipedia.org/wiki/Average_absolute_deviation
fn median(arr []f64) f64
Measure of Central Tendancy Median of the given input array ( input array is assumed to be sorted ) Based on https://www.mathsisfun.com/data/central-measures.html
fn min(arr []f64) f64
Minimum of the given input array
fn mode(arr []f64) f64
Measure of Central Tendancy Mode of the given input array Based on https://www.mathsisfun.com/data/central-measures.html
fn population_stddev(arr []f64) f64
Measure of Dispersion / Spread Population Standard Deviation of the given input array Based on https://www.mathsisfun.com/data/standard-deviation.html
fn population_variance(arr []f64) f64
Measure of Dispersion / Spread Population Variance of the given input array Based on https://www.mathsisfun.com/data/standard-deviation.html
fn range(arr []f64) f64
Measure of Dispersion / Spread Range ( Maximum - Minimum ) of the given input array Based on https://www.mathsisfun.com/data/range.html
fn rms(arr []f64) f64
Root Mean Square of the given input array Based on https://en.wikipedia.org/wiki/Root_mean_square
fn sample_stddev(arr []f64) f64
Measure of Dispersion / Spread Sample Standard Deviation of the given input array Based on https://www.mathsisfun.com/data/standard-deviation.html
fn sample_variance(arr []f64) f64
Measure of Dispersion / Spread Sample Variance of the given input array Based on https://www.mathsisfun.com/data/standard-deviation.html