public interface StatisticalMultivariateSummary
Modifier and Type  Method and Description 

RealMatrix 
getCovariance()
Returns the covariance of the available values.

int 
getDimension()
Returns the dimension of the data

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

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

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

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

long 
getN()
Returns the number of available values

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

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

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

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

int getDimension()
double[] getMean()
RealMatrix getCovariance()
double[] getStandardDeviation()
double[] getMax()
double[] getMin()
long getN()
double[] getGeometricMean()
double[] getSum()
double[] getSumSq()
double[] getSumLog()
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