rhino_health.lib.metrics.statistics_tests
#
Module Contents#
Classes#
A metric that calculates the Chi-Square test for multiple Datasets. |
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A metric that calculates the Pearson Correlation Coefficient for multiple Datasets. |
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A metric that calculates the Intraclass Correlation Coefficient for multiple Datasets. |
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A metric that calculates Spearman's Rank Correlation Coefficient for multiple Datasets. |
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A metric that calculates the Wilcoxon signed rank test for multiple Datasets. |
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A metric that calculates the T test for multiple Datasets. |
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A metric that calculates the T test for multiple Datasets. |
- class rhino_health.lib.metrics.statistics_tests.ChiSquare(**kwargs)#
Bases:
rhino_health.lib.metrics.base_metric.AggregatableMetric
A metric that calculates the Chi-Square test for multiple Datasets.
- variable: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName#
- variable_1: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName#
- variable_2: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName#
- class rhino_health.lib.metrics.statistics_tests.Pearson(**kwargs)#
Bases:
rhino_health.lib.metrics.base_metric.AggregatableMetric
A metric that calculates the Pearson Correlation Coefficient for multiple Datasets.
- variable_1: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName#
- variable_2: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName#
- class rhino_health.lib.metrics.statistics_tests.ICC(**kwargs)#
Bases:
rhino_health.lib.metrics.base_metric.AggregatableMetric
A metric that calculates the Intraclass Correlation Coefficient for multiple Datasets.
- variable_1: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName#
- variable_2: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName#
- class rhino_health.lib.metrics.statistics_tests.Spearman(**kwargs)#
Bases:
rhino_health.lib.metrics.base_metric.AggregatableMetric
A metric that calculates Spearman’s Rank Correlation Coefficient for multiple Datasets.
- variable_1: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName#
- variable_2: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName#
- class rhino_health.lib.metrics.statistics_tests.Wilcoxon(**kwargs)#
Bases:
rhino_health.lib.metrics.base_metric.AggregatableMetric
A metric that calculates the Wilcoxon signed rank test for multiple Datasets.
- variable: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName#
- abs_values_variable: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName#
- class rhino_health.lib.metrics.statistics_tests.TTest(**kwargs)#
Bases:
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).
- numeric_variable: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName#
- categorical_variable: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName#
- class rhino_health.lib.metrics.statistics_tests.OneWayANOVA(**kwargs)#
Bases:
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.
- variable: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName#
- numeric_variable: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName#
- categorical_variable: rhino_health.lib.metrics.filter_variable.FilterVariableTypeOrColumnName#