public class ContingencyTables extends java.lang.Object implements RevisionHandler
Constructor and Description |
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ContingencyTables() |
Modifier and Type | Method and Description |
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static double |
chiSquared(double[][] matrix,
boolean yates)
Returns chi-squared probability for a given matrix.
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static double |
chiVal(double[][] matrix,
boolean useYates)
Computes chi-squared statistic for a contingency table.
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static boolean |
cochransCriterion(double[][] matrix)
Tests if Cochran's criterion is fullfilled for the given
contingency table.
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static double |
CramersV(double[][] matrix)
Computes Cramer's V for a contingency table.
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static double |
entropy(double[] array)
Computes the entropy of the given array.
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static double |
entropyConditionedOnColumns(double[][] matrix)
Computes conditional entropy of the rows given
the columns.
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static double |
entropyConditionedOnRows(double[][] matrix)
Computes conditional entropy of the columns given
the rows.
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static double |
entropyConditionedOnRows(double[][] train,
double[][] test,
double numClasses)
Computes conditional entropy of the columns given the rows
of the test matrix with respect to the train matrix.
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static double |
entropyOverColumns(double[][] matrix)
Computes the columns' entropy for the given contingency table.
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static double |
entropyOverRows(double[][] matrix)
Computes the rows' entropy for the given contingency table.
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static double |
gainRatio(double[][] matrix)
Computes gain ratio for contingency table (split on rows).
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java.lang.String |
getRevision()
Returns the revision string.
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static double |
log2MultipleHypergeometric(double[][] matrix)
Returns negative base 2 logarithm of multiple hypergeometric
probability for a contingency table.
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static void |
main(java.lang.String[] ops)
Main method for testing this class.
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static double[][] |
reduceMatrix(double[][] matrix)
Reduces a matrix by deleting all zero rows and columns.
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static double |
symmetricalUncertainty(double[][] matrix)
Calculates the symmetrical uncertainty for base 2.
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static double |
tauVal(double[][] matrix)
Computes Goodman and Kruskal's tau-value for a contingency table.
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public static double chiSquared(double[][] matrix, boolean yates)
matrix
- the contigency tableyates
- is Yates' correction to be used?public static double chiVal(double[][] matrix, boolean useYates)
matrix
- the contigency tableuseYates
- is Yates' correction to be used?public static boolean cochransCriterion(double[][] matrix)
matrix
- the contigency table to be testedpublic static double CramersV(double[][] matrix)
matrix
- the contingency tablepublic static double entropy(double[] array)
array
- the arraypublic static double entropyConditionedOnColumns(double[][] matrix)
matrix
- the contingency tablepublic static double entropyConditionedOnRows(double[][] matrix)
matrix
- the contingency tablepublic static double entropyConditionedOnRows(double[][] train, double[][] test, double numClasses)
train
- the train matrixtest
- the test matrixnumClasses
- the number of symbols for Laplacepublic static double entropyOverRows(double[][] matrix)
matrix
- the contingency tablepublic static double entropyOverColumns(double[][] matrix)
matrix
- the contingency tablepublic static double gainRatio(double[][] matrix)
matrix
- the contingency tablepublic static double log2MultipleHypergeometric(double[][] matrix)
matrix
- the contingency tablepublic static double[][] reduceMatrix(double[][] matrix)
matrix
- the matrix to be reducedpublic static double symmetricalUncertainty(double[][] matrix)
matrix
- the contingency tablepublic static double tauVal(double[][] matrix)
matrix
- the contingency tablepublic java.lang.String getRevision()
getRevision
in interface RevisionHandler
public static void main(java.lang.String[] ops)