richjenks / stats Goto Github PK

The class is properly organized and follows the PSR-12 coding style guide for PHP.
It is placed in the RichJenks\Stats namespace, which helps prevent naming conflicts with other libraries or code.
The class contains a set of static methods, making it easy to use the library without instantiating an object.

The class provides a wide range of statistical calculations, including mean, median, mode, range, variance, standard deviation, quartiles, interquartile range, outliers, inliers, percentiles, and more.
The method names are descriptive and intuitive, making it easy to understand their purpose.
The class uses appropriate mathematical formulas and algorithms to perform the calculations accurately.

The methods are well-documented with PHPDoc comments, specifying the purpose, parameter details, and return types.
The methods have clear and consistent parameter names, such as $data, which indicates that an array of values is expected.
The class includes constants, SAMPLE and POPULATION, to distinguish between sample and population calculations. This provides flexibility in statistical calculations.
The default values for optional parameters are appropriately set to self::SAMPLE, ensuring backward compatibility with previous code.

The class does not include explicit error handling or exception throwing. It assumes that the input data will be in the correct format and handles the calculations accordingly.
The class does not handle cases where the input arrays are empty or contain non-numeric values. It is assumed that the input data will be properly validated before using the library.

While the class provides a useful set of statistical calculations, it could benefit from additional methods for other common statistical operations, such as correlation, regression, hypothesis testing, etc.
It would be helpful to provide more examples and usage instructions in the class documentation, showcasing how to use the library effectively.

\RichJenks\Stats\Stats::percentile([212.52, 360.53, 368.05, 401.77, 430.86, 491, 516.56, 782.86], 50)