removed javadoc links to the addValue method which does not belong to the interface
git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@628348 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
parent
651cae8991
commit
e08fbb00c3
|
@ -31,39 +31,39 @@ public interface StatisticalMultivariateSummary {
|
||||||
*/
|
*/
|
||||||
public int getDimension();
|
public int getDimension();
|
||||||
/**
|
/**
|
||||||
* Returns an array whose ith entry is the mean of the
|
* Returns an array whose i<sup>th</sup> entry is the
|
||||||
* ith entries of the arrays that have been added using
|
* mean of the i<sup>th</sup> entries of the arrays
|
||||||
* {@link #addValue(double[])}
|
* that correspond to each multivariate sample
|
||||||
*
|
*
|
||||||
* @return the array of component means
|
* @return the array of component means
|
||||||
*/
|
*/
|
||||||
public abstract double[] getMean();
|
public abstract double[] getMean();
|
||||||
/**
|
/**
|
||||||
* Returns the covariance of the available values.
|
* Returns the covariance of the available values.
|
||||||
* @return The covariance, null if no values have been added
|
* @return The covariance, null if no multivariate sample
|
||||||
* or a zeroed matrix for a single value set.
|
* have been added or a zeroed matrix for a single value set.
|
||||||
*/
|
*/
|
||||||
public abstract RealMatrix getCovariance();
|
public abstract RealMatrix getCovariance();
|
||||||
/**
|
/**
|
||||||
* Returns an array whose ith entry is the standard deviation of the
|
* Returns an array whose i<sup>th</sup> entry is the
|
||||||
* ith entries of the arrays that have been added using
|
* standard deviation of the i<sup>th</sup> entries of the arrays
|
||||||
* {@link #addValue(double[])}
|
* that correspond to each multivariate sample
|
||||||
*
|
*
|
||||||
* @return the array of component standard deviations
|
* @return the array of component standard deviations
|
||||||
*/
|
*/
|
||||||
public abstract double[] getStandardDeviation();
|
public abstract double[] getStandardDeviation();
|
||||||
/**
|
/**
|
||||||
* Returns an array whose ith entry is the maximum of the
|
* Returns an array whose i<sup>th</sup> entry is the
|
||||||
* ith entries of the arrays that have been added using
|
* maximum of the i<sup>th</sup> entries of the arrays
|
||||||
* {@link #addValue(double[])}
|
* that correspond to each multivariate sample
|
||||||
*
|
*
|
||||||
* @return the array of component maxima
|
* @return the array of component maxima
|
||||||
*/
|
*/
|
||||||
public abstract double[] getMax();
|
public abstract double[] getMax();
|
||||||
/**
|
/**
|
||||||
* Returns an array whose ith entry is the minimum of the
|
* Returns an array whose i<sup>th</sup> entry is the
|
||||||
* ith entries of the arrays that have been added using
|
* minimum of the i<sup>th</sup> entries of the arrays
|
||||||
* {@link #addValue(double[])}
|
* that correspond to each multivariate sample
|
||||||
*
|
*
|
||||||
* @return the array of component minima
|
* @return the array of component minima
|
||||||
*/
|
*/
|
||||||
|
@ -74,33 +74,33 @@ public interface StatisticalMultivariateSummary {
|
||||||
*/
|
*/
|
||||||
public abstract long getN();
|
public abstract long getN();
|
||||||
/**
|
/**
|
||||||
* Returns an array whose ith entry is the geometric mean of the
|
* Returns an array whose i<sup>th</sup> entry is the
|
||||||
* ith entries of the arrays that have been added using
|
* geometric mean of the i<sup>th</sup> entries of the arrays
|
||||||
* {@link #addValue(double[])}
|
* that correspond to each multivariate sample
|
||||||
*
|
*
|
||||||
* @return the array of component geometric means
|
* @return the array of component geometric means
|
||||||
*/
|
*/
|
||||||
public double[] getGeometricMean();
|
public double[] getGeometricMean();
|
||||||
/**
|
/**
|
||||||
* Returns an array whose ith entry is the sum of the
|
* Returns an array whose i<sup>th</sup> entry is the
|
||||||
* ith entries of the arrays that have been added using
|
* sum of the i<sup>th</sup> entries of the arrays
|
||||||
* {@link #addValue(double[])}
|
* that correspond to each multivariate sample
|
||||||
*
|
*
|
||||||
* @return the array of component sums
|
* @return the array of component sums
|
||||||
*/
|
*/
|
||||||
public abstract double[] getSum();
|
public abstract double[] getSum();
|
||||||
/**
|
/**
|
||||||
* Returns an array whose ith entry is the sum of squares of the
|
* Returns an array whose i<sup>th</sup> entry is the
|
||||||
* ith entries of the arrays that have been added using
|
* sum of squares of the i<sup>th</sup> entries of the arrays
|
||||||
* {@link #addValue(double[])}
|
* that correspond to each multivariate sample
|
||||||
*
|
*
|
||||||
* @return the array of component sums of squares
|
* @return the array of component sums of squares
|
||||||
*/
|
*/
|
||||||
public abstract double[] getSumSq();
|
public abstract double[] getSumSq();
|
||||||
/**
|
/**
|
||||||
* Returns an array whose ith entry is the sum of logs of the
|
* Returns an array whose i<sup>th</sup> entry is the
|
||||||
* ith entries of the arrays that have been added using
|
* sum of logs of the i<sup>th</sup> entries of the arrays
|
||||||
* {@link #addValue(double[])}
|
* that correspond to each multivariate sample
|
||||||
*
|
*
|
||||||
* @return the array of component log sums
|
* @return the array of component log sums
|
||||||
*/
|
*/
|
||||||
|
|
Loading…
Reference in New Issue