abby

??‍♀️ abby

abby ist eine einfache, aber leistungsstarke PHP-A/B-Testbibliothek.

Mit der Bibliothek können Sie auf einfache Weise Tests ( Experimente ) sowie deren Kontroll- und Variationsgruppen einrichten, Ihre Benutzer verfolgen und detaillierte Statistiken abrufen (z. B. empfohlene Stichprobengrößen und Bestimmung der Zuverlässigkeit Ihrer Ergebnisse ), einschließlich der Frage, ob ein Experiment statistische Signifikanz erreicht hat.

Der Gewinner (und die Konfidenz) werden mithilfe der Bayes'schen Statistik ermittelt. Dabei wird der p-Wert Ihrer Ergebnisse berechnet, um zu prüfen, ob die Nullhypothese abgelehnt werden kann. Mithilfe eines zweiseitigen Tests wird außerdem eine begleitende Mindeststichprobengröße berechnet, um die Falscherkennungsrate zu kontrollieren.

abby ist unabhängig von Abhängigkeiten und völlig datenbankunabhängig, d.

Anforderungen

• PHP 5.4.0 oder höher

Installation

 composer require andreekeberg/ abby

Grundlegende Verwendung

Verfolgen eines Benutzers

abbyToken(); // If we can't find an existing token cookie, generate one and set tracking cookie if (!$token->getValue()) { $token->generate()->setCookie(); } // Setup a User instance $user = new abby User(); // Associate the token with our user $user->setToken($token);">

 // Setup a new Token instance
$ token = new abby  Token ();

// If we can't find an existing token cookie, generate one and set tracking cookie
if (! $ token -> getValue ()) {
    $ token -> generate ()-> setCookie ();
}

// Setup a User instance
$ user = new abby  User ();

// Associate the token with our user
$ user -> setToken ( $ token );

Vorhandene Benutzerexperimente zu einer Benutzerinstanz hinzufügen

abbyExperiment([ 'id' => $item['id'] ]); // Setup a group instance based on stored data $group = new abby Group([ 'type' => $item['group'] ]); // Add the experiment (including their group, and whether they have viewed and converted) $user->addExperiment($experiment, $group, $item['viewed'], $item['converted']); }">

 // List of experiments associated with a tracking token
$ data = [
    [
        ' id ' => 1 ,
        ' group ' => 1 ,
        ' viewed ' => true ,
        ' converted ' => false
    ]
];

// Loop through users existing experiments and add them to our user instance
foreach ( $ data as $ item ) {
    // Setup experiment instance based on an existing experiment
    $ experiment = new abby  Experiment ([
        ' id ' => $ item [ ' id ' ]
    ]);

    // Setup a group instance based on stored data
    $ group = new abby  Group ([
        ' type ' => $ item [ ' group ' ]
    ]);

    // Add the experiment (including their group, and whether they have viewed and converted)
    $ user -> addExperiment ( $ experiment , $ group , $ item [ ' viewed ' ], $ item [ ' converted ' ]);
}

Einschließlich der Verwendung in neuen Experimenten

abbyExperiment([ 'id' => $data['id'] ]); // Assign the user to either control or variation in the experiment $group = $user->assignGroup($experiment); // Add the experiment (including assigned group) to our user instance $user->addExperiment($experiment, $group); } // Getting updated user experiment list $user->getExperiments(); // Store updated experiment list for our user">

 // Experiment data
$ data = [
    ' id ' => 2
];

// Make sure the experiment isn't already in the users list
if (! $ user -> hasExperiment ( $ data [ ' id ' ])) {
    // Setup a new experiment instance
    $ experiment = new abby  Experiment ([
        ' id ' => $ data [ ' id ' ]
    ]);

    // Assign the user to either control or variation in the experiment
    $ group = $ user -> assignGroup ( $ experiment );

    // Add the experiment (including assigned group) to our user instance
    $ user -> addExperiment ( $ experiment , $ group );
}

// Getting updated user experiment list
$ user -> getExperiments ();

// Store updated experiment list for our user

Bereitstellung eines individuellen Erlebnisses basierend auf der Gruppenbeteiligung

 // Experiment data
$ data = [
    ' id ' => 1
];

// Record a view for the experiment in question
$ user -> setViewed ( $ data [ ' id ' ]);

// If the user is part of the variation group
if ( $ user -> inVariation ( $ data [ ' id ' ])) {
    // Apply a custom class to an element, load a script, etc.
}

Definieren einer Benutzerkonvertierung in einem Experiment

 // Experiment data
$ data = [
    ' id ' => 1
];

// On a custom goal, check if user has viewed the experiment and define a conversion
if ( $ user -> hasViewed ( $ data [ ' id ' ])) {
    $ user -> setConverted ( $ data [ ' id ' ]);
}

// Getting updated user experiment data
$ user -> getExperiments ();

// Store updated data for our user

Experimentergebnisse erhalten

abbyExperiment([ 'groups' => [ [ 'name' => 'Control', 'views' => 3000, 'conversions' => 300 ], [ 'name' => 'Variation', 'views' => 3000, 'conversions' => 364 ] ] ]); // Retrieve the results $result = $experiment->getResult(); // Get the winner $winner = $result->getWinner(); /** * Get whether we can be confident of the result (even if we haven't * reached the minimum number of views for each variant) */ $confident = $result->isConfident(); /** * Get the minimum sample size (number of views) required for each group to * reach statistical significance, given the control groups current conversion * rate (based on the configured minimumDetectableEffect) */ $minimum = $result->getMinimumSampleSize(); /** * Get whether the results are statistically significant */ $significant = $result->isSignificant(); /** * Get complete experiment result */ $summary = $result->getAll();">

 // Setup experiment instance with stored results
$ experiment = new abby  Experiment ([
    ' groups ' => [
        [
            ' name ' => ' Control ' ,
            ' views ' => 3000 ,
            ' conversions ' => 300
        ],
        [
            ' name ' => ' Variation ' ,
            ' views ' => 3000 ,
            ' conversions ' => 364
        ]
    ]
]);

// Retrieve the results
$ result = $ experiment -> getResult ();

// Get the winner
$ winner = $ result -> getWinner ();

/**
 * Get whether we can be confident of the result (even if we haven't
 * reached the minimum number of views for each variant)
 */

$ confident = $ result -> isConfident ();

/**
 * Get the minimum sample size (number of views) required for each group to
 * reach statistical significance, given the control groups current conversion
 * rate (based on the configured minimumDetectableEffect)
 */

$ minimum = $ result -> getMinimumSampleSize ();

/**
 * Get whether the results are statistically significant
 */

$ significant = $ result -> isSignificant ();

/**
 * Get complete experiment result
 */

$ summary = $ result -> getAll ();

Dokumentation

• Experiment
• Token
• Benutzer
• Gruppe
• Ergebnis

Mitwirken

Lesen Sie die Beitragsrichtlinien.

Änderungsprotokoll

Eine vollständige Historie des Projekts finden Sie im Changelog.

Lizenz

abby ist unter der MIT-Lizenz lizenziert.