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abby

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??‍♀️ abby

abby es una biblioteca de pruebas PHP A/B sencilla pero potente.

La biblioteca le permite configurar fácilmente pruebas ( experimentos ), sus grupos de control y variación, realizar un seguimiento de sus usuarios , obtener estadísticas detalladas (como tamaños de muestra recomendados y determinar la confianza de sus resultados ), incluido si un experimento ha alcanzado significación estadística .

El ganador (y la confianza) se determina utilizando estadísticas bayesianas, calculando el valor p de sus resultados para comprobar si se puede rechazar la hipótesis nula. También se calcula un tamaño de muestra mínimo adjunto utilizando una prueba de dos colas para controlar la tasa de descubrimiento falso.

abby no depende de ninguna base de datos y es completamente independiente de la base de datos, lo que significa que simplemente funciona con los datos que usted le proporciona y expone una variedad de métodos para que usted almacene el resultado en el almacenamiento que elija.

Requisitos

PHP 5.4.0 o superior

Instalación

 composer require andreekeberg/ abby

Uso básico

Seguimiento de un usuario

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 );

Agregar experimentos de usuario existentes a una instancia de usuario

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 ' ]);
}

Incluyendo el uso en nuevos experimentos.

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

Ofrecer una experiencia personalizada basada en la participación del grupo.

 // 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.
}

Definición de una conversión de usuario en un experimento

 // 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

Obtener resultados del experimento

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 ();