Apache Commons Math 3.6.1 · org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary

Method Summary

Modifier and Type	Method and Description
public RealMatrix	Returns: The covariance, null if no multivariate sample have been added or a zeroed matrix for a single value set. getCovariance() Returns the covariance of the available values.
public int	Returns: The dimension of the data getDimension() Returns the dimension of the data
public double[]	Returns: the array of component geometric means getGeometricMean() Returns an array whose i^th entry is the geometric mean of the i^th entries of the arrays that correspond to each multivariate sample
public double[]	Returns: the array of component maxima getMax() Returns an array whose i^th entry is the maximum of the i^th entries of the arrays that correspond to each multivariate sample
public double[]	Returns: the array of component means getMean() Returns an array whose i^th entry is the mean of the i^th entries of the arrays that correspond to each multivariate sample
public double[]	Returns: the array of component minima getMin() Returns an array whose i^th entry is the minimum of the i^th entries of the arrays that correspond to each multivariate sample
public long	Returns: The number of available values getN() Returns the number of available values
public double[]	Returns: the array of component standard deviations getStandardDeviation() Returns an array whose i^th entry is the standard deviation of the i^th entries of the arrays that correspond to each multivariate sample
public double[]	Returns: the array of component sums getSum() Returns an array whose i^th entry is the sum of the i^th entries of the arrays that correspond to each multivariate sample
public double[]	Returns: the array of component log sums getSumLog() Returns an array whose i^th entry is the sum of logs of the i^th entries of the arrays that correspond to each multivariate sample
public double[]	Returns: the array of component sums of squares getSumSq() Returns an array whose i^th entry is the sum of squares of the i^th entries of the arrays that correspond to each multivariate sample

Method Detail

getCovariance	back to summary
public RealMatrix getCovariance() Returns the covariance of the available values. Returns:RealMatrix The covariance, null if no multivariate sample have been added or a zeroed matrix for a single value set.

getCovariance

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public RealMatrix getCovariance()

Returns the covariance of the available values.

Returns:RealMatrix: The covariance, null if no multivariate sample have been added or a zeroed matrix for a single value set.

getDimension	back to summary
public int getDimension() Returns the dimension of the data Returns:int The dimension of the data

getDimension

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public int getDimension()

Returns the dimension of the data

Returns:int: The dimension of the data

getGeometricMean	back to summary
public double[] getGeometricMean() Returns an array whose i^th entry is the geometric mean of the i^th entries of the arrays that correspond to each multivariate sample Returns:double[] the array of component geometric means

getGeometricMean

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public double[] getGeometricMean()

Returns an array whose i^th entry is the geometric mean of the i^th entries of the arrays that correspond to each multivariate sample

Returns:double[]: the array of component geometric means

getMax	back to summary
public double[] getMax() Returns an array whose i^th entry is the maximum of the i^th entries of the arrays that correspond to each multivariate sample Returns:double[] the array of component maxima

getMax

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public double[] getMax()

Returns an array whose i^th entry is the maximum of the i^th entries of the arrays that correspond to each multivariate sample

Returns:double[]: the array of component maxima

getMean	back to summary
public double[] getMean() Returns an array whose i^th entry is the mean of the i^th entries of the arrays that correspond to each multivariate sample Returns:double[] the array of component means

getMean

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public double[] getMean()

Returns an array whose i^th entry is the mean of the i^th entries of the arrays that correspond to each multivariate sample

Returns:double[]: the array of component means

getMin	back to summary
public double[] getMin() Returns an array whose i^th entry is the minimum of the i^th entries of the arrays that correspond to each multivariate sample Returns:double[] the array of component minima

getMin

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public double[] getMin()

Returns an array whose i^th entry is the minimum of the i^th entries of the arrays that correspond to each multivariate sample

Returns:double[]: the array of component minima

getN	back to summary
public long getN() Returns the number of available values Returns:long The number of available values

getN

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public long getN()

Returns the number of available values

Returns:long: The number of available values

getStandardDeviation	back to summary
public double[] getStandardDeviation() Returns an array whose i^th entry is the standard deviation of the i^th entries of the arrays that correspond to each multivariate sample Returns:double[] the array of component standard deviations

getStandardDeviation

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public double[] getStandardDeviation()

Returns an array whose i^th entry is the standard deviation of the i^th entries of the arrays that correspond to each multivariate sample

Returns:double[]: the array of component standard deviations

getSum	back to summary
public double[] getSum() Returns an array whose i^th entry is the sum of the i^th entries of the arrays that correspond to each multivariate sample Returns:double[] the array of component sums

getSum

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public double[] getSum()

Returns an array whose i^th entry is the sum of the i^th entries of the arrays that correspond to each multivariate sample

Returns:double[]: the array of component sums

getSumLog	back to summary
public double[] getSumLog() Returns an array whose i^th entry is the sum of logs of the i^th entries of the arrays that correspond to each multivariate sample Returns:double[] the array of component log sums

getSumLog

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public double[] getSumLog()

Returns an array whose i^th entry is the sum of logs of the i^th entries of the arrays that correspond to each multivariate sample

Returns:double[]: the array of component log sums

getSumSq	back to summary
public double[] getSumSq() Returns an array whose i^th entry is the sum of squares of the i^th entries of the arrays that correspond to each multivariate sample Returns:double[] the array of component sums of squares

getSumSq

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public double[] getSumSq()

Returns an array whose i^th entry is the sum of squares of the i^th entries of the arrays that correspond to each multivariate sample

Returns:double[]: the array of component sums of squares

public Interface StatisticalMultivariateSummary

Method Summary

Method Detail