edu.ucla.stat.SOCR.analyses.jri.data
Class Data

java.lang.Object
  edu.ucla.stat.SOCR.analyses.jri.data.Data

public class Data
extends java.lang.Object

Field Summary

static java.lang.String	DEPENDENT_VAR
static java.lang.String	INDEPENDENT_VAR
static java.lang.String	SIGNIFICANCE_LEVEL

Constructor Summary

Data()
NOTE: ALL THE QUANTITATIVE DATA ARE FORCED TO CHANGE TO THE FORM OF double[].

Method Summary

void	addPredictor(double[] data, java.lang.String dataType)
void	addPredictor(float[] data, java.lang.String dataType)
void	addPredictor(int[] data, java.lang.String dataType) appendX with two parameters
void	addPredictor(long[] data, java.lang.String dataType)
void	addPredictor(java.lang.String[] data, java.lang.String dataType)
void	addPredictor(java.lang.String name, double[] data, java.lang.String dataType)
void	addPredictor(java.lang.String name, java.lang.Object[] data, java.lang.String dataType)
void	addPredictor(java.lang.String name, java.lang.String[] data, java.lang.String dataType) appendY with three parameters
void	addResponse(double[] data, java.lang.String dataType)
void	addResponse(float[] data, java.lang.String dataType)
void	addResponse(int[] data, java.lang.String dataType) appendY with two parameters
void	addResponse(long[] data, java.lang.String dataType)
void	addResponse(java.lang.String[] data, java.lang.String dataType)
void	addResponse(java.lang.String name, double[] data, java.lang.String dataType)
void	addResponse(java.lang.String name, java.lang.Object[] data, java.lang.String dataType)
void	addResponse(java.lang.String name, java.lang.String[] data, java.lang.String dataType)
void	addSignificanceLevel(double input)
void	appendX(double[] data, java.lang.String dataType)
void	appendX(float[] data, java.lang.String dataType)
void	appendX(int[] data, java.lang.String dataType)
void	appendX(long[] data, java.lang.String dataType)
void	appendX(java.lang.String[] data, java.lang.String dataType)
void	appendX(java.lang.String name, double[] data, java.lang.String dataType)
void	appendX(java.lang.String name, java.lang.Object[] data, java.lang.String dataType)
void	appendX(java.lang.String name, java.lang.String[] data, java.lang.String dataType)
void	appendY(double[] data, java.lang.String dataType)
void	appendY(float[] data, java.lang.String dataType)
void	appendY(int[] data, java.lang.String dataType)
void	appendY(long[] data, java.lang.String dataType)
void	appendY(java.lang.String[] data, java.lang.String dataType)
void	appendY(java.lang.String name, double[] data, java.lang.String dataType)
void	appendY(java.lang.String name, java.lang.Object[] data, java.lang.String dataType)
void	appendY(java.lang.String name, java.lang.String[] data, java.lang.String dataType)
Result	getAnalysis(short analysisType)
java.lang.String	getAnalysisXMLInputString(short analysisType)
double[]	getDoubleX(java.lang.String name)
double[]	getDoubleY(java.lang.String name)
java.util.HashMap<java.lang.String,Column>	getMapX()
java.util.HashMap<java.lang.String,Column>	getMapY()
NormalPowerResult	getNormalAnalysis(double mu0, double x, double sigma)
NormalPowerResult	getNormalPower(int sampleSize, double sigma, double alpha, double mu0, double muA, java.lang.String hypothesisType)
NormalPowerResult	getNormalPowerSampleSize(double power, double sigma, double alpha, double mu0, double muA, java.lang.String hypothesisType)
int	getSampleSize()
double	getSignificanceLevel()
SurvivalResult	getSurvivalResult(double[] time, byte[] censor, java.lang.String[] groupNames)
java.lang.Object	getX(java.lang.String name)
java.lang.Object	getY(java.lang.String name)
static void	main(java.lang.String[] args)
AnovaOneWayResult	modelAnovaOneWay()
AnovaTwoWayResult	modelAnovaTwoWay()
MultiLinearRegressionResult	modelMultiLinearRegression()
OneTResult	modelOneT(double[] y)
SimpleLinearRegressionResult	modelSimpleLinearRegression() Linear Models
TwoIndependentTResult	modelTwoIndependentT(double[] x, double[] y) Parametric Testing
TwoIndependentWilcoxonResult	modelTwoIndependentWilcoxon(double[] x, double[] y) Non-Parametric Testing
TwoPairedSignedRankResult	modelTwoPairedSignedRank(double[] x, double[] y)
TwoPairedTResult	modelTwoPairedT(double[] x, double[] y)

Methods inherited from class java.lang.Object

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

Field Detail

INDEPENDENT_VAR

public static final java.lang.String INDEPENDENT_VAR

See Also:

Constant Field Values

DEPENDENT_VAR

public static final java.lang.String DEPENDENT_VAR

See Also:

Constant Field Values

SIGNIFICANCE_LEVEL

public static final java.lang.String SIGNIFICANCE_LEVEL

See Also:

Constant Field Values

Constructor Detail

Data

public Data()

NOTE: ALL THE QUANTITATIVE DATA ARE FORCED TO CHANGE TO THE FORM OF double[]. ALL THE FACTOR/QUALITATIVE DATA ARE FORCED TO CHANGE TO THE FORM OF String[].

Method Detail

addPredictor

public void addPredictor(int[] data,
                         java.lang.String dataType)

appendX with two parameters

addPredictor

public void addPredictor(long[] data,
                         java.lang.String dataType)

addPredictor

public void addPredictor(float[] data,
                         java.lang.String dataType)

addPredictor

public void addPredictor(double[] data,
                         java.lang.String dataType)

addPredictor

public void addPredictor(java.lang.String[] data,
                         java.lang.String dataType)

appendX

public void appendX(int[] data,
                    java.lang.String dataType)

appendX

public void appendX(long[] data,
                    java.lang.String dataType)

appendX

public void appendX(float[] data,
                    java.lang.String dataType)

addSignificanceLevel

public void addSignificanceLevel(double input)

getSignificanceLevel

public double getSignificanceLevel()

appendX

public void appendX(double[] data,
                    java.lang.String dataType)

appendX

public void appendX(java.lang.String[] data,
                    java.lang.String dataType)

addResponse

public void addResponse(int[] data,
                        java.lang.String dataType)

appendY with two parameters

addResponse

public void addResponse(long[] data,
                        java.lang.String dataType)

addResponse

public void addResponse(float[] data,
                        java.lang.String dataType)

addResponse

public void addResponse(double[] data,
                        java.lang.String dataType)

addResponse

public void addResponse(java.lang.String[] data,
                        java.lang.String dataType)

appendY

public void appendY(int[] data,
                    java.lang.String dataType)

appendY

public void appendY(long[] data,
                    java.lang.String dataType)

appendY

public void appendY(float[] data,
                    java.lang.String dataType)

appendY

public void appendY(double[] data,
                    java.lang.String dataType)

appendY

public void appendY(java.lang.String[] data,
                    java.lang.String dataType)

addPredictor

public void addPredictor(java.lang.String name,
                         java.lang.String[] data,
                         java.lang.String dataType)

appendY with three parameters

addPredictor

public void addPredictor(java.lang.String name,
                         double[] data,
                         java.lang.String dataType)

addPredictor

public void addPredictor(java.lang.String name,
                         java.lang.Object[] data,
                         java.lang.String dataType)

appendX

public void appendX(java.lang.String name,
                    java.lang.String[] data,
                    java.lang.String dataType)

appendX

public void appendX(java.lang.String name,
                    double[] data,
                    java.lang.String dataType)

appendX

public void appendX(java.lang.String name,
                    java.lang.Object[] data,
                    java.lang.String dataType)

addResponse

public void addResponse(java.lang.String name,
                        java.lang.String[] data,
                        java.lang.String dataType)

addResponse

public void addResponse(java.lang.String name,
                        double[] data,
                        java.lang.String dataType)

addResponse

public void addResponse(java.lang.String name,
                        java.lang.Object[] data,
                        java.lang.String dataType)

appendY

public void appendY(java.lang.String name,
                    java.lang.String[] data,
                    java.lang.String dataType)

appendY

public void appendY(java.lang.String name,
                    double[] data,
                    java.lang.String dataType)

appendY

public void appendY(java.lang.String name,
                    java.lang.Object[] data,
                    java.lang.String dataType)

getX

public java.lang.Object getX(java.lang.String name)

getY

public java.lang.Object getY(java.lang.String name)

getSampleSize

public int getSampleSize()

getDoubleX

public double[] getDoubleX(java.lang.String name)

getDoubleY

public double[] getDoubleY(java.lang.String name)

getMapX

public java.util.HashMap<java.lang.String,Column> getMapX()

getMapY

public java.util.HashMap<java.lang.String,Column> getMapY()

getAnalysis

public Result getAnalysis(short analysisType)
                   throws java.lang.Exception

Throws:

java.lang.Exception

getAnalysisXMLInputString

public java.lang.String getAnalysisXMLInputString(short analysisType)
                                           throws java.lang.Exception

Throws:

java.lang.Exception

modelSimpleLinearRegression

public SimpleLinearRegressionResult modelSimpleLinearRegression()
                                                         throws java.lang.Exception

Linear Models

Throws:

java.lang.Exception

modelMultiLinearRegression

public MultiLinearRegressionResult modelMultiLinearRegression()
                                                       throws java.lang.Exception

Throws:

java.lang.Exception

modelAnovaOneWay

public AnovaOneWayResult modelAnovaOneWay()
                                   throws java.lang.Exception

Throws:

java.lang.Exception

modelAnovaTwoWay

public AnovaTwoWayResult modelAnovaTwoWay()
                                   throws java.lang.Exception

Throws:

java.lang.Exception

modelTwoIndependentT

public TwoIndependentTResult modelTwoIndependentT(double[] x,
                                                  double[] y)
                                           throws java.lang.Exception

Parametric Testing

Throws:

java.lang.Exception

modelTwoPairedT

public TwoPairedTResult modelTwoPairedT(double[] x,
                                        double[] y)
                                 throws java.lang.Exception

Throws:

java.lang.Exception

modelOneT

public OneTResult modelOneT(double[] y)
                     throws java.lang.Exception

Throws:

java.lang.Exception

modelTwoIndependentWilcoxon

public TwoIndependentWilcoxonResult modelTwoIndependentWilcoxon(double[] x,
                                                                double[] y)
                                                         throws java.lang.Exception

Non-Parametric Testing

Throws:

java.lang.Exception

modelTwoPairedSignedRank

public TwoPairedSignedRankResult modelTwoPairedSignedRank(double[] x,
                                                          double[] y)
                                                   throws java.lang.Exception

Throws:

java.lang.Exception

getNormalAnalysis

public NormalPowerResult getNormalAnalysis(double mu0,
                                           double x,
                                           double sigma)
                                    throws java.lang.Exception

Throws:

java.lang.Exception

getNormalPower

public NormalPowerResult getNormalPower(int sampleSize,
                                        double sigma,
                                        double alpha,
                                        double mu0,
                                        double muA,
                                        java.lang.String hypothesisType)
                                 throws java.lang.Exception

Throws:

java.lang.Exception

getNormalPowerSampleSize

public NormalPowerResult getNormalPowerSampleSize(double power,
                                                  double sigma,
                                                  double alpha,
                                                  double mu0,
                                                  double muA,
                                                  java.lang.String hypothesisType)
                                           throws java.lang.Exception

Throws:

java.lang.Exception

getSurvivalResult

public SurvivalResult getSurvivalResult(double[] time,
                                        byte[] censor,
                                        java.lang.String[] groupNames)
                                 throws java.lang.Exception

Throws:

java.lang.Exception

main

public static void main(java.lang.String[] args)