abby下載 - abby原始碼下載

abby

其他類別

1.1.1

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??‍♀️ abby

abby是一個簡單但功能強大的 PHP A/B 測試庫。

該庫可讓您輕鬆設定測試（實驗）、其控制組和變體組、追蹤使用者、獲取詳細的統計資料（例如建議的樣本大小，並確定結果的置信度），包括實驗是否達到統計顯著性。

獲勝者（和置信度）是使用貝葉斯統計確定的，計算結果的 p 值以檢查是否可以拒絕原假設。也使用雙尾檢定來計算隨附的最小樣本量，以控制錯誤發現率。

abby是無依賴性的，並且完全與資料庫無關，這意味著它只需處理您提供的數據，並公開多種方法供您將結果儲存在您自己選擇的儲存中。

要求

PHP 5.4.0 或更高版本

安裝

 composer require andreekeberg/ abby

基本用法

追蹤用戶

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 );

將現有使用者實驗新增至使用者實例

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 ' ]);
}

包括在新實驗中的使用

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

提供基於團體參與的客製化體驗

 // 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.
}

定義實驗中的使用者轉化

 // 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

得到實驗結果

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 ();