BoxCox

Documentation of 'flanagan.analysis.BoxCox' Java class BoxCox

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java.lang.Object
- flanagan.analysis.BoxCox

public class BoxCox
extends java.lang.Object

Constructor Summary

Constructors
Constructor and Description
`BoxCox(java.util.ArrayList<java.lang.Object> originalData)`
`BoxCox(ArrayMaths amoriginalData)`
`BoxCox(java.math.BigDecimal[] originalData)`
`BoxCox(java.math.BigInteger[] originalData)`
`BoxCox(byte[] originalData)`
`BoxCox(double[] originalData)`
`BoxCox(float[] originalData)`
`BoxCox(int[] originalData)`
`BoxCox(long[] originalData)`
`BoxCox(short[] originalData)`
`BoxCox(Stat originalData)`
`BoxCox(java.util.Vector<java.lang.Object> originalData)`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`void`	`analysis()`
`void`	`analysis(java.lang.String title)`
`double[]`	`fixedValueTransform(double lambdaOne)`
`double[]`	`fixedValueTransform(double lambdaOne, double lambdaTwo)`
`double[]`	`inverseTransform(double lambdaOne)`
`double[]`	`inverseTransform(double lambdaOne, double lambdaTwo)`
`double`	`lambdaOne()`
`double`	`lambdaThree()`
`double`	`lambdaTwo()`
`double[]`	`orderedScaledTransformedData()`
`double[]`	`orderedTransformedData()`
`double`	`originalCorrelationCoefficient()`
`double[]`	`originalData()`
`double`	`originalExcessKurtosis()`
`double`	`originalGradient()`
`double`	`originalGradientError()`
`double`	`originalIntercept()`
`double`	`originalInterceptError()`
`double`	`originalMaximum()`
`double`	`originalMean()`
`double`	`originalMedian()`
`double`	`originalMedianSkewness()`
`double`	`originalMinimum()`
`double`	`originalMomentSkewness()`
`void`	`originalProbabilityPlot()`
`double`	`originalQuartiletSkewness()`
`double`	`originalRange()`
`double`	`originalStandardDeviation()`
`double`	`originalStandardError()`
`double`	`originalVariance()`
`double[]`	`scaledTransformedData()`
`void`	`setDenominatorToN()`
`double[]`	`shiftedStandardizedOriginalata()`
`double[]`	`sortedOriginalData()`
`double[]`	`standardizedOriginalData()`
`double[]`	`standardizedTransformedData()`
`double`	`transformedCorrelationCoefficient()`
`double[]`	`transformedData()`
`double`	`transformedExcessKurtosis()`
`double`	`transformedGradient()`
`double`	`transformedGradientError()`
`double`	`transformedIntercept()`
`double`	`transformedInterceptError()`
`double`	`transformedMaximum()`
`double`	`transformedMean()`
`double`	`transformedMedian()`
`double`	`transformedMedianSkewness()`
`double`	`transformedMinimum()`
`double`	`transformedMomentSkewness()`
`void`	`transformedProbabilityPlot()`
`double`	`transformedQuartileSkewness()`
`double`	`transformedRange()`
`double`	`transformedStandardDeviation()`
`double`	`transformedStandardError()`
`double`	`transformedVariance()`

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

Constructor Detail

BoxCox
```
public BoxCox(double[] originalData)
```

BoxCox
```
public BoxCox(float[] originalData)
```

BoxCox
```
public BoxCox(int[] originalData)
```

BoxCox
```
public BoxCox(long[] originalData)
```

BoxCox
```
public BoxCox(short[] originalData)
```

BoxCox
```
public BoxCox(byte[] originalData)
```

BoxCox

public BoxCox(java.math.BigDecimal[] originalData)

BoxCox

public BoxCox(java.math.BigInteger[] originalData)

BoxCox
```
public BoxCox(Stat originalData)
```

BoxCox

public BoxCox(ArrayMaths amoriginalData)

BoxCox

public BoxCox(java.util.ArrayList<java.lang.Object> originalData)

BoxCox

public BoxCox(java.util.Vector<java.lang.Object> originalData)

Method Detail

setDenominatorToN
```
public void setDenominatorToN()
```

inverseTransform

public double[] inverseTransform(double lambdaOne,
                                 double lambdaTwo)

inverseTransform

public double[] inverseTransform(double lambdaOne)

fixedValueTransform

public double[] fixedValueTransform(double lambdaOne,
                                    double lambdaTwo)

fixedValueTransform

public double[] fixedValueTransform(double lambdaOne)

lambdaOne
```
public double lambdaOne()
```

lambdaTwo
```
public double lambdaTwo()
```

lambdaThree
```
public double lambdaThree()
```

transformedCorrelationCoefficient

public double transformedCorrelationCoefficient()

transformedGradient
```
public double transformedGradient()
```

transformedGradientError

public double transformedGradientError()

transformedIntercept
```
public double transformedIntercept()
```

transformedInterceptError

public double transformedInterceptError()

originalCorrelationCoefficient

public double originalCorrelationCoefficient()

originalGradient
```
public double originalGradient()
```

originalGradientError
```
public double originalGradientError()
```

originalIntercept
```
public double originalIntercept()
```

originalInterceptError

public double originalInterceptError()

originalData
```
public double[] originalData()
```

standardizedOriginalData

public double[] standardizedOriginalData()

sortedOriginalData
```
public double[] sortedOriginalData()
```

shiftedStandardizedOriginalata

public double[] shiftedStandardizedOriginalata()

transformedData
```
public double[] transformedData()
```

scaledTransformedData

public double[] scaledTransformedData()

standardizedTransformedData

public double[] standardizedTransformedData()

orderedTransformedData

public double[] orderedTransformedData()

orderedScaledTransformedData

public double[] orderedScaledTransformedData()

originalMean
```
public double originalMean()
```

originalMedian
```
public double originalMedian()
```

originalStandardDeviation

public double originalStandardDeviation()

originalStandardError
```
public double originalStandardError()
```

originalVariance
```
public double originalVariance()
```

originalMomentSkewness

public double originalMomentSkewness()

originalMedianSkewness

public double originalMedianSkewness()

originalQuartiletSkewness

public double originalQuartiletSkewness()

originalExcessKurtosis

public double originalExcessKurtosis()

originalMaximum
```
public double originalMaximum()
```

originalMinimum
```
public double originalMinimum()
```

originalRange
```
public double originalRange()
```

transformedMean
```
public double transformedMean()
```

transformedMedian
```
public double transformedMedian()
```

transformedStandardDeviation

public double transformedStandardDeviation()

transformedStandardError

public double transformedStandardError()

transformedVariance
```
public double transformedVariance()
```

transformedMomentSkewness

public double transformedMomentSkewness()

transformedMedianSkewness

public double transformedMedianSkewness()

transformedQuartileSkewness

public double transformedQuartileSkewness()

transformedExcessKurtosis

public double transformedExcessKurtosis()

transformedMaximum
```
public double transformedMaximum()
```

transformedMinimum
```
public double transformedMinimum()
```

transformedRange
```
public double transformedRange()
```

transformedProbabilityPlot

public void transformedProbabilityPlot()

originalProbabilityPlot
```
public void originalProbabilityPlot()
```

analysis
```
public void analysis()
```

analysis

public void analysis(java.lang.String title)

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All Classes

Summary:
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Field |
Constr |
Method

Detail:
Field |
Constr |
Method

Class BoxCox

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

BoxCox

BoxCox

BoxCox

BoxCox

BoxCox

BoxCox

BoxCox

BoxCox

BoxCox

BoxCox

BoxCox

BoxCox

Method Detail

setDenominatorToN

inverseTransform

inverseTransform

fixedValueTransform

fixedValueTransform

lambdaOne

lambdaTwo

lambdaThree

transformedCorrelationCoefficient

transformedGradient

transformedGradientError

transformedIntercept

transformedInterceptError

originalCorrelationCoefficient

originalGradient

originalGradientError

originalIntercept

originalInterceptError

originalData

standardizedOriginalData

sortedOriginalData

shiftedStandardizedOriginalata

transformedData

scaledTransformedData

standardizedTransformedData

orderedTransformedData

orderedScaledTransformedData

originalMean

originalMedian

originalStandardDeviation

originalStandardError

originalVariance

originalMomentSkewness

originalMedianSkewness

originalQuartiletSkewness

originalExcessKurtosis

originalMaximum

originalMinimum

originalRange

transformedMean

transformedMedian

transformedStandardDeviation

transformedStandardError

transformedVariance

transformedMomentSkewness

transformedMedianSkewness

transformedQuartileSkewness

transformedExcessKurtosis

transformedMaximum

transformedMinimum

transformedRange

transformedProbabilityPlot

originalProbabilityPlot

analysis

analysis