Interface StatisticalMultivariateSummary

 All Known Implementing Classes:
MultivariateSummaryStatistics
,SynchronizedMultivariateSummaryStatistics
public interface StatisticalMultivariateSummary
Reporting interface for basic multivariate statistics. Since:
 1.2


Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description RealMatrix
getCovariance()
Returns the covariance of the available values.int
getDimension()
Returns the dimension of the datadouble[]
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 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[]
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 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[]
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 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 Detail

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

