Metadata-Version: 1.1
Name: sfrancia
Version: 1.0.7
Summary:  Shapiro-Francia normality test 
Home-page: UNKNOWN
Author: Luiz Paulo Fávero
Author-email: lpfavero@usp.br
License: UNKNOWN
Description: # **Shapiro-Francia normality test**
        
        ## Description:
        
        The statistical test of Shapiro-Francia considers the squared correlation between the ordered sample values and the (approximated) expected ordered quantiles from the standard normal distribution. The p-value is computed from the formula given by Royston (1993).
        
        This function performs the Shapiro-Francia test for the composite hypothesis of normality, according to Thode Jr. (2002).
        
        ## **Install**
        
            pip install sfrancia
        
        ## **Usage**
        
            from sfrancia import shapiroFrancia
            import pandas as pd
        
            df = pd.read_csv('fake_table.csv')
        
            # any array, series or list of numeric values
            shapiroFrancia(df['column'])
        
        ---
        
        ## References:
        
        - Royston, P. (1993). A pocket-calculator algorithm for the Shapiro-Francia test for non-normality: an application to medicine. Statistics in Medicine, 12, 181-184.
        - Thode Jr., H. C. (2002). Testing for Normality. Marcel Dekker, New York.
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
