mirror/v
1
0
Fork 0
mirror of https://github.com/vlang/v.git synced 2023-08-10 21:13:21 +03:00
Code Issues Projects Releases Wiki Activity

all: updateimport () and []array

Browse Source
This commit is contained in:
yuyi
2020-04-26 19:49:31 +08:00
committed by GitHub
parent 7b39ab6d06
commit 9f4d498ff1
59 changed files with 181 additions and 254 deletions
Download Patch File Download Diff File Expand all files Collapse all files

36
vlib/math/stats/stats.v
View File

@@ -2,21 +2,21 @@ module stats
import math
// TODO: Implement all of them with generics
// TODO: Implement all of them with generics
// This module defines the following statistical operations on f64 array
// This module defines the following statistical operations on f64 array
// ---------------------------
// | Summary of Functions |
// ---------------------------
// -----------------------------------------------------------------------
// freq - Frequency
// mean - Mean
// mean - Mean
// geometric_mean - Geometric Mean
// harmonic_mean - Harmonic Mean
// median - Median
// mode - Mode
// rms - Root Mean Square
// population_variance - Population Variance
// population_variance - Population Variance
// sample_variance - Sample Variance
// population_stddev - Population Standard Deviation
// sample_stddev - Sample Standard Deviation
@@ -29,7 +29,7 @@ import math
// Measure of Occurance
// Frequency of a given number
// Based on
// Based on
// https://www.mathsisfun.com/data/frequency-distribution.html
pub fn freq(arr []f64, val f64) int {
if arr.len == 0 {
@@ -46,7 +46,7 @@ pub fn freq(arr []f64, val f64) int {
// Measure of Central Tendancy
// Mean of the given input array
// Based on
// Based on
// https://www.mathsisfun.com/data/central-measures.html
pub fn mean(arr []f64) f64 {
if arr.len == 0 {
@@ -61,7 +61,7 @@ pub fn mean(arr []f64) f64 {
// Measure of Central Tendancy
// Geometric Mean of the given input array
// Based on
// Based on
// https://www.mathsisfun.com/numbers/geometric-mean.html
pub fn geometric_mean(arr []f64) f64 {
if arr.len == 0 {
@@ -76,7 +76,7 @@ pub fn geometric_mean(arr []f64) f64 {
// Measure of Central Tendancy
// Harmonic Mean of the given input array
// Based on
// Based on
// https://www.mathsisfun.com/numbers/harmonic-mean.html
pub fn harmonic_mean(arr []f64) f64 {
if arr.len == 0 {
@@ -91,7 +91,7 @@ pub fn harmonic_mean(arr []f64) f64 {
// Measure of Central Tendancy
// Median of the given input array ( input array is assumed to be sorted )
// Based on
// Based on
// https://www.mathsisfun.com/data/central-measures.html
pub fn median(arr []f64) f64 {
if arr.len == 0 {
@@ -108,13 +108,13 @@ pub fn median(arr []f64) f64 {
// Measure of Central Tendancy
// Mode of the given input array
// Based on
// Based on
// https://www.mathsisfun.com/data/central-measures.html
pub fn mode(arr []f64) f64 {
if arr.len == 0 {
return f64(0)
}
mut freqs := []int
mut freqs := []int{}
for v in arr {
freqs<<freq(arr,v)
}
@@ -128,7 +128,7 @@ pub fn mode(arr []f64) f64 {
}
// Root Mean Square of the given input array
// Based on
// Based on
// https://en.wikipedia.org/wiki/Root_mean_square
pub fn rms(arr []f64) f64 {
if arr.len == 0 {
@@ -143,7 +143,7 @@ pub fn rms(arr []f64) f64 {
// Measure of Dispersion / Spread
// Population Variance of the given input array
// Based on
// Based on
// https://www.mathsisfun.com/data/standard-deviation.html
pub fn population_variance(arr []f64) f64 {
if arr.len == 0 {
@@ -159,7 +159,7 @@ pub fn population_variance(arr []f64) f64 {
// Measure of Dispersion / Spread
// Sample Variance of the given input array
// Based on
// Based on
// https://www.mathsisfun.com/data/standard-deviation.html
pub fn sample_variance(arr []f64) f64 {
if arr.len == 0 {
@@ -175,7 +175,7 @@ pub fn sample_variance(arr []f64) f64 {
// Measure of Dispersion / Spread
// Population Standard Deviation of the given input array
// Based on
// Based on
// https://www.mathsisfun.com/data/standard-deviation.html
pub fn population_stddev(arr []f64) f64 {
if arr.len == 0 {
@@ -186,7 +186,7 @@ pub fn population_stddev(arr []f64) f64 {
// Measure of Dispersion / Spread
// Sample Standard Deviation of the given input array
// Based on
// Based on
// https://www.mathsisfun.com/data/standard-deviation.html
pub fn sample_stddev(arr []f64) f64 {
if arr.len == 0 {
@@ -197,7 +197,7 @@ pub fn sample_stddev(arr []f64) f64 {
// Measure of Dispersion / Spread
// Mean Absolute Deviation of the given input array
// Based on
// Based on
// https://en.wikipedia.org/wiki/Average_absolute_deviation
pub fn mean_absdev(arr []f64) f64 {
if arr.len == 0 {
@@ -241,7 +241,7 @@ pub fn max(arr []f64) f64 {
// Measure of Dispersion / Spread
// Range ( Maximum - Minimum ) of the given input array
// Based on
// Based on
// https://www.mathsisfun.com/data/range.html
pub fn range(arr []f64) f64 {
if arr.len == 0 {