org.pentaho.di.trans.steps.univariatestats
Class UnivariateStatsData.FieldIndex

java.lang.Object
  org.pentaho.di.trans.steps.univariatestats.UnivariateStatsData.FieldIndex

Enclosing class:

UnivariateStatsData

public static class UnivariateStatsData.FieldIndex
extends Object

Inner class used to hold operating field index, intermediate data and final results for a stats calculation. Has functions to compute the mean, standard deviation and arbitrary percentiles. Percentiles can be computed using interpolation or a simple method. See The Engineering Statistics Handbook for details.

Field Summary

double	m_arbitraryPercentile
int	m_columnIndex
double	m_count
double	m_max
double	m_mean
double	m_median
double	m_min
double	m_stdDev
double	m_sum
double	m_sumSq

Constructor Summary

UnivariateStatsData.FieldIndex()

Method Summary

Object[]

generateOutputValues(UnivariateStatsMetaFunction usmf, ArrayList<Number> cache) Constructs an array of Objects containing the requested statistics for one univariate stats meta function using this FieldIndex.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

m_columnIndex

public int m_columnIndex

m_count

public double m_count

m_mean

public double m_mean

m_stdDev

public double m_stdDev

m_max

public double m_max

m_min

public double m_min

m_median

public double m_median

m_arbitraryPercentile

public double m_arbitraryPercentile

m_sum

public double m_sum

m_sumSq

public double m_sumSq

Constructor Detail

UnivariateStatsData.FieldIndex

public UnivariateStatsData.FieldIndex()

Method Detail

generateOutputValues

public Object[] generateOutputValues(UnivariateStatsMetaFunction usmf,
                                     ArrayList<Number> cache)

Constructs an array of Objects containing the requested statistics for one univariate stats meta function using this FieldIndex.

Parameters:

usmf - theUnivariateStatsMetaFunction to compute stats for. This contains the input field selected by the user along with which stats to compute for it.

Returns:

an array of computed statistics