org.ojalgo.random
Class SampleSet

java.lang.Object
  org.ojalgo.random.SampleSet

All Implemented Interfaces:

Access1D<Double>

public final class SampleSet
extends Object
implements Access1D<Double>

Method Summary

double	doubleValue(int anInd)
Double	get(int anInd)
double	getCorrelation(SampleSet aSet)
double	getCovariance(SampleSet aSet)
double	getFirst()
double	getLargest() max(abs(value))
double	getLast()
double	getMaximum() max(value)
double	getMean()
double	getMedian()
double	getMinimum() min(value)
double	getSmallest() min(abs(value))
double	getStandardDeviation()
double	getSumOfSquares() "Sum of squares is a concept that permeates much of inferential statistics and descriptive statistics.
double[]	getValues()
double	getVariance()
Iterator<Double>	iterator()
static SampleSet	make(RandomNumber aRndmNmbr, int aSize)
void	reset()
int	size()
String	toString()
static SampleSet	wrap(Access1D<?> someSamples)

Methods inherited from class java.lang.Object

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

Method Detail

make

public static SampleSet make(RandomNumber aRndmNmbr,
                             int aSize)

wrap

public static SampleSet wrap(Access1D<?> someSamples)

doubleValue

public double doubleValue(int anInd)

get

public Double get(int anInd)

getCorrelation

public double getCorrelation(SampleSet aSet)

getCovariance

public double getCovariance(SampleSet aSet)

getFirst

public double getFirst()

getLargest

public double getLargest()

max(abs(value))

getLast

public double getLast()

getMaximum

public double getMaximum()

max(value)

getMean

public double getMean()

getMedian

public double getMedian()

getMinimum

public double getMinimum()

min(value)

getSmallest

public double getSmallest()

min(abs(value))

getStandardDeviation

public double getStandardDeviation()

getSumOfSquares

public double getSumOfSquares()

"Sum of squares is a concept that permeates much of inferential statistics and descriptive statistics. More properly, it is "the sum of the squared deviations". Mathematically, it is an unscaled, or unadjusted measure of dispersion (also called variability). When scaled for the number of degrees of freedom, it estimates the variance, or spread of the observations about their mean value."

Wikipedia

getValues

public double[] getValues()

getVariance

public double getVariance()

iterator

public final Iterator<Double> iterator()

reset

public void reset()

size

public int size()

Returns:

The total number of elements contained in this structure

toString

public String toString()

Overrides:

toString in class Object