com.itemanalysis.psychometrics.histogram

Class AbstractBinCalculation

java.lang.Object

com.itemanalysis.psychometrics.histogram.AbstractBinCalculation

All Implemented Interfaces:

BinCalculation

public abstract class AbstractBinCalculation
extends java.lang.Object
implements BinCalculation

An abstract implementation of BinCalculation. It holds the instance variables and method used by each specific implementation. It allows for a storeless computation the number of bins by incrementally updating summary statistics.

Author:

J. Patrick Meyer

Field Summary

Fields

Modifier and Type	Field and Description
protected org.apache.commons.math3.stat.descriptive.rank.Max	max Largest observe value.
protected org.apache.commons.math3.stat.descriptive.rank.Min	min Smallest observed value.
protected double	n Sample size.
protected org.apache.commons.math3.stat.descriptive.moment.StandardDeviation	sd Standard deviation of values.

Constructor Summary

Constructors

Constructor and Description
AbstractBinCalculation() Creates the object and instantiates the min and max objects.

Method Summary

Modifier and Type	Method and Description
void	evaluate(double[] x)
void	increment(double x) Update the summary statistics with a new value.
double	max() Gets the largest observed data point.
double	min() Gets the smallest observed data points.
double	sampleSize() Gets the sample size.

Methods inherited from class java.lang.Object

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

Methods inherited from interface com.itemanalysis.psychometrics.histogram.BinCalculation

binWidth, getType, numberOfBins

Field Detail

min

protected org.apache.commons.math3.stat.descriptive.rank.Min min

Smallest observed value.

max

protected org.apache.commons.math3.stat.descriptive.rank.Max max

Largest observe value.

sd

protected org.apache.commons.math3.stat.descriptive.moment.StandardDeviation sd

Standard deviation of values.

n

protected double n

Sample size.

Constructor Detail

AbstractBinCalculation

public AbstractBinCalculation()

Creates the object and instantiates the min and max objects.

Method Detail

evaluate

public void evaluate(double[] x)

increment

public void increment(double x)

Update the summary statistics with a new value.

Parameters:

x - a data value.

sampleSize

public double sampleSize()

Gets the sample size.

Returns:

sample size.

min

public double min()

Gets the smallest observed data points.

Returns:

smallest value.

max

public double max()

Gets the largest observed data point.

Returns:

largest value.