PHP code example of cjuol / statguard

1. Go to this page and download the library: Download cjuol/statguard library. Choose the download type require.

2. Extract the ZIP file and open the index.php.

3. Add this code to the index.php.

    
        
<?php
require_once('vendor/autoload.php');

/* Start to develop here. Best regards https://php-download.com/ */

cjuol / statguard example snippets


use Cjuol\StatGuard\RobustStats;

$stats = new RobustStats();
$data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 1000];

$huber = $stats->getHuberMean($data);
$winsorized = $stats->getWinsorizedMean($data, 0.1);
$iqr = $stats->getIqr($data, RobustStats::TYPE_R_DEFAULT);


use Cjuol\StatGuard\RobustStats;

$robust = new RobustStats();
$data = [10, 12, 11, 15, 10, 1000];

$huber = $robust->getHuberMean($data, 1.345, 50, 0.001);


use Cjuol\StatGuard\RobustStats;

$robust = new RobustStats();
$data = [10, 12, 11, 15, 10, 1000];

// Type 7 matches R's default quantile() behavior.
$winsorized = $robust->getWinsorizedMean($data, 0.1, 7);


use Cjuol\StatGuard\StatsComparator;

$comparator = new StatsComparator();
$data = [10, 12, 11, 15, 10, 1000];

$analysis = $comparator->analyze($data);

echo $analysis['verdict'];
// ALERT: Data is highly influenced by outliers. Use robust metrics.


use Cjuol\StatGuard\RobustStats;

$robust = new RobustStats();

file_put_contents('report.csv', $robust->toCsv($data));
echo $robust->toJson($data);


[
	'mean',
	'median',
	'stdDev',
	'sampleVariance',
	'cv',
	'outliersZScore',
	'count'
]


[
	'mean',
	'median',
	'robustDeviation',
	'robustVariance',
	'robustCv',
	'iqr',
	'mad',
	'outliers',
	'confidenceIntervals',
	'count'
]