edu.ucla.stat.SOCR.analyses.jri.result
Class SimpleLinearRegressionResult

java.lang.Object
  edu.ucla.stat.SOCR.analyses.jri.result.Result
      edu.ucla.stat.SOCR.analyses.jri.result.AnalysisResult
          edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
              edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult

public class SimpleLinearRegressionResult
extends LinearModelResult

Nested Class Summary

Nested classes/interfaces inherited from class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult

LinearModelResult.Intercept, LinearModelResult.PlotData, LinearModelResult.Predictor

Field Summary

double	alpha
static java.lang.String	ALPHA estimated intercept of The model.
static java.lang.String	ALPHA_P_VALUE The p-value of testing if ALPHA equals to zero.
static java.lang.String	ALPHA_SE estimated standard deviation of The intercept ALPHA.
static java.lang.String	ALPHA_T_STAT The p-value of testing if ALPHA equals to zero.
java.lang.String	alphaPValue
double	alphaSE
double	alphaTStat
double	beta
static java.lang.String	BETA estimated slope of The model.
static java.lang.String	BETA_NAME The name of BETA variable.
static java.lang.String	BETA_P_VALUE The p-value of testing if BETA equals to zero.
static java.lang.String	BETA_SD estimated standard deviation of The slope BETA.
static java.lang.String	BETA_T_STAT The t-statistic of testing if BETA equals to zero.
java.lang.String	betaName
java.lang.String	betaPValue
double	betaSE
double	betaTStat
static java.lang.String	MEAN_X The mean of The independent varialbe's data.
static java.lang.String	MEAN_Y The mean of The dependent varialbe's data.
static java.lang.String	PREDICTED The predicted value of The model.
static java.lang.String	RESIDUALS The predicted residuals of The model.
static java.lang.String	SORTED_NORMAL_QUANTILES Normal quantiles of the sorted residuals.
static java.lang.String	SORTED_RESIDUALS PREDICTED double[] after being sorted ascendantly.
static java.lang.String	SORTED_RESIDUALS_INDEX The SORTED_RESIDUALS's mapping to the original index.
static java.lang.String	SORTED_STANDARDIZED_RESIDUALS

Fields inherited from class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult

ANOVA_Y_GROUP_MEANS, ANOVA_Y_MEAN, BETA_SE, BETA_VAR, DELIMINATOR, DF, DF_ERROR, DF_GROUP, DF_MODEL, DF_TOTAL, F_VALUE_GROUP, intercept, MSE_GROUP, MSS_ERROR, MSS_MODEL, P_VALUE_GROUP, plotData, predictor, predictorList, R_SQUARED, RSS_ERROR, RSS_GROUP, RSS_MODEL, RSS_TOTAL, SCORE, SLR_MEAN_X, SLR_MEAN_Y, SORTED_STANDARDIZED_NORMAL_QUANTILES, TAG_adjusted_r_squared, TAG_analysis_output, TAG_coefficients, TAG_cooks_distance, TAG_degrees_freedom, TAG_degrees_freedom_error, TAG_degrees_freedom_model, TAG_estimate, TAG_f_statistics, TAG_intercept, TAG_linear_regression_result, TAG_multiple_r_squared, TAG_normal_scores, TAG_p_value, TAG_plot_data, TAG_predicted, TAG_predictor, TAG_residual_standard_error, TAG_residuals, TAG_root_standardized_residuals, TAG_standard_error, TAG_standardized_residuals, TAG_statistics, TAG_t_value, TAG_theoretical_quantiles, TAG_value, TAG_variable_name, VARIABLE_LIST, Z_SCORE

Fields inherited from class edu.ucla.stat.SOCR.analyses.jri.result.Result

dom, F_VALUE, graph, JAVA_ERROR, MEAN_DIFF, P_VALUE, SAMPLE_MEAN, SAMPLE_VAR, SIGN_TEST_STAT, SIGNED_TEST_W_MEAN, SIGNED_TEST_W_SCORE, SIGNED_TEST_W_STAT, SIGNED_TEST_W_VAR, T_STAT, texture, WILCOXON_R_MIN, WILCOXON_R_PRIME, WILCOXON_RANK_SUM_SMALLER, xmlResultString

Constructor Summary

SimpleLinearRegressionResult(org.w3c.dom.Document dom)

SimpleLinearRegressionResult(java.util.HashMap<java.lang.String,java.lang.Object> texture)
Constructors

SimpleLinearRegressionResult(java.util.HashMap<java.lang.String,java.lang.Object> texture, java.util.HashMap<java.lang.String,java.lang.Object> graph)

SimpleLinearRegressionResult(java.lang.String xmlResultString)

Method Summary

double	getAlpha()
java.lang.String	getAlphaPValue()
double	getAlphaSE()
double	getAlphaTStat()
double	getBeta()
java.lang.String	getBetaName()
java.lang.String	getBetaPValue()
double	getBetaSE()
double	getBetaTStat()
double	getMeanX() Accessors
double	getMeanY()
double[]	getPredicted()
double[]	getResiduals()
double[]	getSortedNormalQuantiles()
double[]	getSortedResiduals()
int[]	getSortedResidualsIndex()
double[]	getSortedStandardizedNormalQuantiles()
double[]	getSortedStandardizedResiduals()
static void	main(java.lang.String[] args)
void	setAlpha(double input)

Methods inherited from class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult

getIntercept, getPlotData, getPredictor, parseIntercept, parsePlotData, parsePredictors

Methods inherited from class edu.ucla.stat.SOCR.analyses.jri.result.Result

getGraph, getTexture

Methods inherited from class java.lang.Object

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

Field Detail

MEAN_X

public static final java.lang.String MEAN_X

The mean of The independent varialbe's data.

See Also:

Constant Field Values

MEAN_Y

public static final java.lang.String MEAN_Y

The mean of The dependent varialbe's data.

See Also:

Constant Field Values

ALPHA

public static final java.lang.String ALPHA

estimated intercept of The model.

See Also:

Constant Field Values

BETA

public static final java.lang.String BETA

estimated slope of The model.

See Also:

Constant Field Values

ALPHA_SE

public static final java.lang.String ALPHA_SE

estimated standard deviation of The intercept ALPHA.

See Also:

Constant Field Values

BETA_SD

public static final java.lang.String BETA_SD

estimated standard deviation of The slope BETA.

See Also:

Constant Field Values

ALPHA_P_VALUE

public static final java.lang.String ALPHA_P_VALUE

The p-value of testing if ALPHA equals to zero.

See Also:

Constant Field Values

BETA_P_VALUE

public static final java.lang.String BETA_P_VALUE

The p-value of testing if BETA equals to zero.

See Also:

Constant Field Values

ALPHA_T_STAT

public static final java.lang.String ALPHA_T_STAT

The p-value of testing if ALPHA equals to zero.

See Also:

Constant Field Values

BETA_T_STAT

public static final java.lang.String BETA_T_STAT

The t-statistic of testing if BETA equals to zero.

See Also:

Constant Field Values

BETA_NAME

public static final java.lang.String BETA_NAME

The name of BETA variable.

See Also:

Constant Field Values

PREDICTED

public static final java.lang.String PREDICTED

The predicted value of The model. It maps to a double[].

See Also:

Constant Field Values

RESIDUALS

public static final java.lang.String RESIDUALS

The predicted residuals of The model. It maps to a double[].

See Also:

Constant Field Values

SORTED_RESIDUALS

public static final java.lang.String SORTED_RESIDUALS

PREDICTED double[] after being sorted ascendantly. It maps to a double[].

See Also:

Constant Field Values

SORTED_RESIDUALS_INDEX

public static final java.lang.String SORTED_RESIDUALS_INDEX

The SORTED_RESIDUALS's mapping to the original index. It maps to a int[].

See Also:

Constant Field Values

SORTED_STANDARDIZED_RESIDUALS

public static final java.lang.String SORTED_STANDARDIZED_RESIDUALS

See Also:

Constant Field Values

SORTED_NORMAL_QUANTILES

public static final java.lang.String SORTED_NORMAL_QUANTILES

Normal quantiles of the sorted residuals. It maps to a double[].

See Also:

Constant Field Values

alpha

public double alpha

beta

public double beta

alphaSE

public double alphaSE

betaSE

public double betaSE

alphaTStat

public double alphaTStat

betaTStat

public double betaTStat

alphaPValue

public java.lang.String alphaPValue

betaPValue

public java.lang.String betaPValue

betaName

public java.lang.String betaName

Constructor Detail

SimpleLinearRegressionResult

public SimpleLinearRegressionResult(java.util.HashMap<java.lang.String,java.lang.Object> texture)

Constructors

SimpleLinearRegressionResult

public SimpleLinearRegressionResult(java.util.HashMap<java.lang.String,java.lang.Object> texture,
                                    java.util.HashMap<java.lang.String,java.lang.Object> graph)

SimpleLinearRegressionResult

public SimpleLinearRegressionResult(java.lang.String xmlResultString)

SimpleLinearRegressionResult

public SimpleLinearRegressionResult(org.w3c.dom.Document dom)

Method Detail

getMeanX

public double getMeanX()

Accessors

getMeanY

public double getMeanY()

getAlpha

public double getAlpha()

setAlpha

public void setAlpha(double input)

getBeta

public double getBeta()

getAlphaSE

public double getAlphaSE()

getBetaSE

public double getBetaSE()

getAlphaTStat

public double getAlphaTStat()

getBetaTStat

public double getBetaTStat()

getAlphaPValue

public java.lang.String getAlphaPValue()

getBetaPValue

public java.lang.String getBetaPValue()

getBetaName

public java.lang.String getBetaName()

getResiduals

public double[] getResiduals()

getPredicted

public double[] getPredicted()

getSortedResiduals

public double[] getSortedResiduals()

getSortedStandardizedResiduals

public double[] getSortedStandardizedResiduals()

getSortedResidualsIndex

public int[] getSortedResidualsIndex()

getSortedNormalQuantiles

public double[] getSortedNormalQuantiles()

getSortedStandardizedNormalQuantiles

public double[] getSortedStandardizedNormalQuantiles()

main

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