abby
1.1.1
abby是一个简单但功能强大的 PHP A/B 测试库。
该库可让您轻松设置测试（实验）、其控制组和变体组、跟踪用户、获取详细的统计数据（例如推荐的样本大小，并确定结果的置信度），包括实验是否达到统计显着性。
获胜者（和置信度）是使用贝叶斯统计确定的，计算结果的 p 值以检查是否可以拒绝原假设。还使用双尾测试来计算随附的最小样本量，以控制错误发现率。
abby是无依赖性的，并且完全与数据库无关，这意味着它只需处理您提供的数据，并公开多种方法供您将结果存储在您自己选择的存储中。
composer require andreekeberg/ abby
// 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 ); // 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 ' ]);
} // 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 // 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.
} // 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 // 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 ();阅读贡献指南。
请参阅变更日志以了解该项目的完整历史记录。
abby根据 MIT 许可证获得许可。
