:py:mod:`rhino_health.lib.metrics.statistics_tests`
===================================================

.. py:module:: rhino_health.lib.metrics.statistics_tests


Module Contents
---------------

Classes
~~~~~~~

.. autoapisummary::

   rhino_health.lib.metrics.statistics_tests.ChiSquare
   rhino_health.lib.metrics.statistics_tests.Pearson
   rhino_health.lib.metrics.statistics_tests.ICC
   rhino_health.lib.metrics.statistics_tests.Spearman
   rhino_health.lib.metrics.statistics_tests.Wilcoxon
   rhino_health.lib.metrics.statistics_tests.TTest
   rhino_health.lib.metrics.statistics_tests.OneWayANOVA




.. py:class:: ChiSquare(**kwargs)


   Bases: :py:obj:`rhino_health.lib.metrics.base_metric.AggregatableMetric`

   
   A metric that calculates the Chi-Square test for multiple Datasets.
















   ..
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   .. py:attribute:: variable
      :type: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName

      

   .. py:attribute:: variable_1
      :type: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName

      

   .. py:attribute:: variable_2
      :type: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName

      


.. py:class:: Pearson(**kwargs)


   Bases: :py:obj:`rhino_health.lib.metrics.base_metric.AggregatableMetric`

   
   A metric that calculates the Pearson Correlation Coefficient for multiple Datasets.
















   ..
       !! processed by numpydoc !!
   .. py:attribute:: variable_1
      :type: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName

      

   .. py:attribute:: variable_2
      :type: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName

      


.. py:class:: ICC(**kwargs)


   Bases: :py:obj:`rhino_health.lib.metrics.base_metric.AggregatableMetric`

   
   A metric that calculates the Intraclass Correlation Coefficient for multiple Datasets.
















   ..
       !! processed by numpydoc !!
   .. py:attribute:: variable_1
      :type: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName

      

   .. py:attribute:: variable_2
      :type: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName

      


.. py:class:: Spearman(**kwargs)


   Bases: :py:obj:`rhino_health.lib.metrics.base_metric.AggregatableMetric`

   
   A metric that calculates Spearman's Rank Correlation Coefficient for multiple Datasets.
















   ..
       !! processed by numpydoc !!
   .. py:attribute:: variable_1
      :type: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName

      

   .. py:attribute:: variable_2
      :type: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName

      


.. py:class:: Wilcoxon(**kwargs)


   Bases: :py:obj:`rhino_health.lib.metrics.base_metric.AggregatableMetric`

   
   A metric that calculates the Wilcoxon signed rank test for multiple Datasets.
















   ..
       !! processed by numpydoc !!
   .. py:attribute:: variable
      :type: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName

      

   .. py:attribute:: abs_values_variable
      :type: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName

      


.. py:class:: TTest(**kwargs)


   Bases: :py:obj:`rhino_health.lib.metrics.base_metric.AggregatableMetric`

   
   A metric that calculates the T test for multiple Datasets.
   The methods used is the Welch's t-test (equal or unequal sample sizes, unequal variances).
















   ..
       !! processed by numpydoc !!
   .. py:attribute:: numeric_variable
      :type: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName

      

   .. py:attribute:: categorical_variable
      :type: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName

      


.. py:class:: OneWayANOVA(**kwargs)


   Bases: :py:obj:`rhino_health.lib.metrics.base_metric.AggregatableMetric`

   
   A metric that calculates the T test for multiple Datasets.
   If the numeric variable data column has nans, they will be ignored.
















   ..
       !! processed by numpydoc !!
   .. py:attribute:: variable
      :type: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName

      

   .. py:attribute:: numeric_variable
      :type: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName

      

   .. py:attribute:: categorical_variable
      :type: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName