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java.lang.Objectorg.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
org.apache.commons.math.stat.descriptive.moment.GeometricMean
Returns the geometric mean of the available values.
Uses a SumOfLogs instance to compute sum of logs and returns
exp( 1/n (sum of logs) ). Therefore,
NaN.Double.POSITIVE_INFINITY, but at least one value is 0, the
result is 0.Double.POSITIVE_INFINITY and
Double.NEGATIVE_INFINITY are among the values, the result is
NaN.
Note that this implementation is not synchronized. If
multiple threads access an instance of this class concurrently, and at least
one of the threads invokes the increment() or
clear() method, it must be synchronized externally.
| Constructor Summary | |
GeometricMean()
Create a GeometricMean instance |
|
| Method Summary | |
void |
clear()
Clears the internal state of the Statistic |
double |
evaluate(double[] values,
int begin,
int length)
Returns the geometric mean of the entries in the specified portion of the input array. |
long |
getN()
Returns the number of values that have been added. |
double |
getResult()
Returns the current value of the Statistic. |
void |
increment(double d)
Updates the internal state of the statistic to reflect the addition of the new value. |
| Methods inherited from class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic |
equals, evaluate, hashCode, incrementAll, incrementAll |
| Methods inherited from class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic |
test |
| Methods inherited from class java.lang.Object |
clone, finalize, getClass, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
public GeometricMean()
| Method Detail |
public void increment(double d)
StorelessUnivariateStatistic
increment in interface StorelessUnivariateStatisticincrement in class AbstractStorelessUnivariateStatisticStorelessUnivariateStatistic.increment(double)public double getResult()
StorelessUnivariateStatistic
getResult in interface StorelessUnivariateStatisticgetResult in class AbstractStorelessUnivariateStatisticStorelessUnivariateStatistic.getResult()public void clear()
StorelessUnivariateStatistic
clear in interface StorelessUnivariateStatisticclear in class AbstractStorelessUnivariateStatisticStorelessUnivariateStatistic.clear()
public double evaluate(double[] values,
int begin,
int length)
See GeometricMean for details on the computing algorithm.
Throws IllegalArgumentException if the array is null.
evaluate in interface UnivariateStatisticevaluate in class AbstractStorelessUnivariateStatisticvalues - input array containing the valuesbegin - first array element to includelength - the number of elements to include
IllegalArgumentException - if the input array is null or the array
index parameters are not validUnivariateStatistic.evaluate(double[], int, int)public long getN()
StorelessUnivariateStatistic
StorelessUnivariateStatistic.getN()
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