Statistics::Descriptive provides basic functions used in descriptive statistics. It has an object oriented design and supports two different types of data storage and calculation objects: sparse and full. With the sparse method, none of the data is stored and only a few statistical measures are available. Using the full method, the entire data set is retained and additional functions are available. Whenever a division by zero may occur, the denominator is checked to be greater than the value $Statistics::Descriptive::Tolerance, which defaults to 0.0. You may want to change this value to some small positive value such as 1e-24 in order to obtain error messages in case of very small denominators. Many of the methods (both Sparse and Full) cache values so that subsequent calls with the same arguments are faster.
Statistics::Descriptive provides basic functions used in descriptive statistics. It has an object oriented design and supports two different types of data storage and calculation objects: sparse and full. With the sparse method, none of the data is stored and only a few statistical measures are available. Using the full method, the entire data set is retained and additional functions are available. Whenever a division by zero may occur, the denominator is checked to be greater than the value $Statistics::Descriptive::Tolerance, which defaults to 0.0. You may want to change this value to some small positive value such as 1e-24 in order to obtain error messages in case of very small denominators. Many of the methods (both Sparse and Full) cache values so that subsequent calls with the same arguments are faster.
To install p5.30-statistics-descriptive, run the following command in macOS terminal (Applications->Utilities->Terminal)
sudo port install p5.30-statistics-descriptive
To see what files were installed by p5.30-statistics-descriptive, run:
port contents p5.30-statistics-descriptive
To later upgrade p5.30-statistics-descriptive, run:
sudo port selfupdate && sudo port upgrade p5.30-statistics-descriptive
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