Package org.hipparchus.stat.descriptive
Interface StatisticalMultivariateSummary
 All Known Implementing Classes:
MultivariateSummaryStatistics
public interface StatisticalMultivariateSummary
Reporting interface for basic multivariate statistics.

Method Summary
Modifier and TypeMethodDescriptionReturns the covariance of the available values.int
Returns the dimension of the datadouble[]
Returns an array whose i^{th} entry is the geometric mean of the i^{th} entries of the arrays that correspond to each multivariate sampledouble[]
getMax()
Returns an array whose i^{th} entry is the maximum of the i^{th} entries of the arrays that correspond to each multivariate sampledouble[]
getMean()
Returns an array whose i^{th} entry is the mean of the i^{th} entries of the arrays that correspond to each multivariate sampledouble[]
getMin()
Returns an array whose i^{th} entry is the minimum of the i^{th} entries of the arrays that correspond to each multivariate samplelong
getN()
Returns the number of available valuesdouble[]
Returns an array whose i^{th} entry is the standard deviation of the i^{th} entries of the arrays that correspond to each multivariate sampledouble[]
getSum()
Returns an array whose i^{th} entry is the sum of the i^{th} entries of the arrays that correspond to each multivariate sampledouble[]
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 sampledouble[]
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 Details

getDimension
int getDimension()Returns the dimension of the data Returns:
 The dimension of the data

getMean
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:
 the array of component means

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

getStandardDeviation
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:
 the array of component standard deviations

getMax
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:
 the array of component maxima

getMin
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:
 the array of component minima

getN
long getN()Returns the number of available values Returns:
 The number of available values

getGeometricMean
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:
 the array of component geometric means

getSum
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:
 the array of component sums

getSumSq
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:
 the array of component sums of squares

getSumLog
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:
 the array of component log sums
