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The correlation coefficient is a statistical measure that calculates the strength of the relationship between the relative movements of two variables.

# kaydansky/correlation-coefficient

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# Correlation Coefficient Calculation

A correlation coefficient is a numerical measure of some type of correlation, meaning a statistical relationship between two variables.

A statistic used to show how the scores from one measure relate to scores on a second measure for the same group of individuals. A high value (approaching +1.00) is a strong direct relationship, a low negative value (approaching -1.00) is a strong inverse relationship, and values near 0.00 indicate little, if any, relationship.

## Features

Two types of correlation coefficient are implemented currently:

Unlimited instance number of every type's object.

## Example of usage:

Correlation Coefficient Calculator

• PHP >= 7.4.0

## Installation

``````\$ composer require kaydansky/correlation-coefficient
``````

## Basic Usage

```<?php

use Correlation\{Correlation, Exception\CorrelationException};

\$correlation = new Correlation();

\$age = [43, 21, 25, 42, 57, 59];
\$glucoseLevel = [99, 65, 79, 75, 87, 81];

try {
var_dump(\$correlation->pearson(\$age, \$glucoseLevel));
} catch (CorrelationException \$e) {
echo \$e->getMessage();
}

\$IQ = [106, 86, 100, 101, 99, 103, 97, 113, 112, 110];
\$hoursOfTvPerWeek = [7, 0, 27, 50, 28, 29, 20, 12, 6, 17];

try {
var_dump(\$correlation->spearman(\$IQ, \$hoursOfTvPerWeek));
} catch (CorrelationException \$e) {
echo \$e->getMessage();
}```
• The library provides 2 methods according to coefficient type:
```\$correlation->pearson(\$arrayX, \$arrayY);
\$correlation->spearman(\$arrayX, \$arrayY);```
• Each method returns an object with 2 elements:
```float|int \$coefficient; // Value from -1 to 1
float|int \$percentage; // Same value percentage```
• Every array must contain numeric values only: integer, float, numeric string.
• Arrays pair must have equal number of elements.

The correlation coefficient is a statistical measure that calculates the strength of the relationship between the relative movements of two variables.

## Releases 1

Pearson, Spearman Latest
Jan 22, 2020

## Packages 0

No packages published