BasicDescriptiveStatistics

java.lang.Object
- org.forester.util.BasicDescriptiveStatistics

All Implemented Interfaces:: DescriptiveStatistics

public class BasicDescriptiveStatistics
extends java.lang.Object
implements DescriptiveStatistics

Field Summary
- Fields inherited from interface org.forester.util.DescriptiveStatistics
  PLUS_MINUS

Constructor Summary

Constructors
Constructor and Description

BasicDescriptiveStatistics()

BasicDescriptiveStatistics(java.lang.String desc)

Constructors
Constructor and Description
`BasicDescriptiveStatistics()`
`BasicDescriptiveStatistics(java.lang.String desc)`

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`void`	`addValue(double d)`
`double`	`arithmeticMean()`
`java.lang.String`	`asSummary()`
`double`	`coefficientOfVariation()` Computes the coefficient of variation.
`java.util.List<java.lang.Double>`	`getData()`
`double[]`	`getDataAsDoubleArray()`
`java.lang.String`	`getDescription()`
`double`	`getMax()`
`double`	`getMin()`
`int`	`getN()`
`double`	`getSum()`
`java.lang.String`	`getSummaryAsString()`
`double`	`getValue(int index)`
`double`	`median()`
`double`	`midrange()`
`double`	`pearsonianSkewness()` Determines relationship between the mean and the median.
`static int[]`	`performBinning(double[] values, double min, double max, int number_of_bins)`
`double`	`sampleStandardDeviation()`
`double`	`sampleStandardUnit(double value)`
`static double`	`sampleStandardUnit(double value, double mean, double sd)` Computes the sample standard unit (z-score).
`double`	`sampleVariance()`
`void`	`setDescription(java.lang.String desc)`
`double`	`standardErrorOfMean()`
`double`	`sumDeviations()`
`java.lang.String`	`toString()`

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - BasicDescriptiveStatistics
```
public BasicDescriptiveStatistics()
```
  - BasicDescriptiveStatistics
```
public BasicDescriptiveStatistics(java.lang.String desc)
```
- Method Detail
  - addValue
```
public void addValue(double d)
```
    Specified by:
    
    addValue in interface DescriptiveStatistics
  - arithmeticMean
```
public double arithmeticMean()
```
    Specified by:
    
    arithmeticMean in interface DescriptiveStatistics
  - asSummary
```
public java.lang.String asSummary()
```
    Specified by:
    
    asSummary in interface DescriptiveStatistics
  - coefficientOfVariation
```
public double coefficientOfVariation()
```
    Description copied from interface: DescriptiveStatistics
    
    Computes the coefficient of variation. Used to express standard deviation independent of units of measure.
    
    Specified by:
    
    coefficientOfVariation in interface DescriptiveStatistics
    
    Returns:
  - getData
```
public java.util.List<java.lang.Double> getData()
```
    Specified by:
    
    getData in interface DescriptiveStatistics
  - getDataAsDoubleArray
```
public double[] getDataAsDoubleArray()
```
    Specified by:
    
    getDataAsDoubleArray in interface DescriptiveStatistics
  - getDescription
```
public java.lang.String getDescription()
```
    Specified by:
    
    getDescription in interface DescriptiveStatistics
  - getMax
```
public double getMax()
```
    Specified by:
    
    getMax in interface DescriptiveStatistics
  - getMin
```
public double getMin()
```
    Specified by:
    
    getMin in interface DescriptiveStatistics
  - getN
```
public int getN()
```
    Specified by:
    
    getN in interface DescriptiveStatistics
  - getSum
```
public double getSum()
```
    Specified by:
    
    getSum in interface DescriptiveStatistics
  - getSummaryAsString
```
public java.lang.String getSummaryAsString()
```
    Specified by:
    
    getSummaryAsString in interface DescriptiveStatistics
  - getValue
```
public double getValue(int index)
```
    Specified by:
    
    getValue in interface DescriptiveStatistics
  - median
```
public double median()
```
    Specified by:
    
    median in interface DescriptiveStatistics
  - midrange
```
public double midrange()
```
    Specified by:
    
    midrange in interface DescriptiveStatistics
  - pearsonianSkewness
```
public double pearsonianSkewness()
```
    Description copied from interface: DescriptiveStatistics
    
    Determines relationship between the mean and the median. This reflects how the data differs from the normal bell shaped distribution.
    
    Specified by:
    
    pearsonianSkewness in interface DescriptiveStatistics
    
    Returns:
  - sampleStandardDeviation
```
public double sampleStandardDeviation()
```
    Specified by:
    
    sampleStandardDeviation in interface DescriptiveStatistics
  - sampleStandardUnit
```
public double sampleStandardUnit(double value)
```
    Specified by:
    
    sampleStandardUnit in interface DescriptiveStatistics
  - sampleVariance
```
public double sampleVariance()
```
    Specified by:
    
    sampleVariance in interface DescriptiveStatistics
  - setDescription
```
public void setDescription(java.lang.String desc)
```
    Specified by:
    
    setDescription in interface DescriptiveStatistics
  - standardErrorOfMean
```
public double standardErrorOfMean()
```
    Specified by:
    
    standardErrorOfMean in interface DescriptiveStatistics
  - sumDeviations
```
public double sumDeviations()
```
    Specified by:
    
    sumDeviations in interface DescriptiveStatistics
  - toString
```
public java.lang.String toString()
```
    Specified by:
    
    toString in interface DescriptiveStatistics
    
    Overrides:
    
    toString in class java.lang.Object
  - performBinning
```
public static int[] performBinning(double[] values,
                                   double min,
                                   double max,
                                   int number_of_bins)
```
  - sampleStandardUnit
```
public static double sampleStandardUnit(double value,
                                        double mean,
                                        double sd)
```
    Computes the sample standard unit (z-score). Used to compute 'value' in terms of standard units. Note that 'value', 'mean' and 'sd' must be all from the same sample data.
    
    Parameters:
    
    value - a double in the sample for which
    
    mean - the mean of the sample.
    
    sd - The standard deviation of the sample.
    
    Returns:
    
    'value' in terms of standard units

Class BasicDescriptiveStatistics

Field Summary

Fields inherited from interface org.forester.util.DescriptiveStatistics

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

BasicDescriptiveStatistics

BasicDescriptiveStatistics

Method Detail

addValue

arithmeticMean

asSummary

coefficientOfVariation

getData

getDataAsDoubleArray

getDescription

getMax

getMin

getN

getSum

getSummaryAsString

getValue

median

midrange

pearsonianSkewness

sampleStandardDeviation

sampleStandardUnit

sampleVariance

setDescription

standardErrorOfMean

sumDeviations

toString

performBinning

sampleStandardUnit