royopa / mat-lab-php
Some Math operations on PHP with MatLab syntaxis.
dev-master
2016-08-20 15:15 UTC
Requires
- php: >=5.3.0
- malenki/math: dev-master
Requires (Dev)
- phpunit/phpunit: 4.0.*
This package is auto-updated.
Last update: 2024-10-29 04:36:25 UTC
README
http://royopa.github.io/mat-lab-php
Some Math operations on PHP with MatLab syntaxis.
Requiring/Loading
If you're using Composer to manage dependencies, you can include the following in your composer.json file:
{ "require": { "royopa/mat-lab-php": "dev-master" } }
or
composer require royopa/mat-lab-php
Then, after running composer update
or php composer.phar update
, you can
load the class using Composer's autoloading:
require 'vendor/autoload.php';
Otherwise, you can simply require the file directly:
require_once 'path/to/MatLabPHP/src/MatLabPHP.php';
And in either case, I'd suggest using an alias.
use MatLabPHP\MatLabPHP as M;
Methods
stringToVector()
$matLabPHP->stringToVector(string $str);
- description
- Transform a vector in the format of [1 2 3] to an array(1,2,3);
- parameters
- Number, Vector or Matrix. Ex: 1 or [1 2 3] or [1 2 ; 3 4]
- return
- Array of Number, Vector or Matrix to operate in the class.
$matLabPHP = new MatLabPHP(); $matLabPHP->stringToVector("[3 1 2; 5 4 7; 6 9 7]"); //array( 0 => array( 0 => '3', 1 => '1', 2 => '2' ), 1 => array( 0 => '5', 1 => '4', 2 => '7' ), 2 => array( 0 => '6', 1 => '9', 2 => '7' ) );
eye()
$matLabPHP->eye($cols, $rows = 'eq');
- description
- Create the identity matrix;
- parameters
- cols and rows.
- return
- Eye matrix
zeros()
$matLabPHP->zeros($cols, $rows = 'eq');
- description
- Create the a matrix of zeros;
- parameters
- cols and rows.
- return
- Zero matrix
length()
$matLabPHP->length($vector, $ret = 0);
- description
- Gives back the max between cols and rows of a matrix
- parameters
- vector or matrix
- return
- int
sum()
$matLabPHP->sum($sumA, $sumB);
- description
- Sumes two matrix or vectors or numbers
- parameters
- two vector or matrix or numbers
- return
- result
mean()
$matLabPHP->mean($array);
- description
- Calculate mean (simple arithmetic average).
- parameters
- array $values
- return
- string Mean
stddev()
$matLabPHP->stddev(array $a, $isSample = false);
variance()
$matLabPHP->variance($a, $isSample);
covariance()
$matLabPHP->covariance(array $x_values, array $y_values);
correlation()
$matLabPHP->correlation(array $x_values, array $y_values, $isSample = false);
##Tests
From the project directory, tests can be ran using:
./vendor/bin/phpunit