edu.ucla.stat.SOCR.analyses.result
Class ClusteringResult

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

public class ClusteringResult
extends LinearModelResult

Nested Class Summary

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

LinearModelResult.Intercept, LinearModelResult.PlotData, LinearModelResult.Predictor

Field Summary

static java.lang.String	BETA
static java.lang.String	BETA_P_VALUE
static java.lang.String	BETA_SE
static java.lang.String	BETA_T_STAT
static java.lang.String	DF_ERROR
static java.lang.String	PREDICTED
static java.lang.String	RESIDUALS
static java.lang.String	SORTED_NORMAL_QUANTILES
static java.lang.String	SORTED_RESIDUALS
static java.lang.String	SORTED_RESIDUALS_INDEX
static java.lang.String	VARIABLE_LIST

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

ALPHA, ANOVA_Y_GROUP_MEANS, ANOVA_Y_MEAN, BETA_VAR, DF, 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, SORTED_STANDARDIZED_RESIDUALS, 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, Z_SCORE

Fields inherited from class edu.ucla.stat.SOCR.analyses.result.AnalysisResult

dFormat

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

dom, F_VALUE, graph, JAVA_ERROR, MEAN_DIFF, MEAN_X, MEAN_Y, P_VALUE, P_VALUE_ONE_SIDED, P_VALUE_TWO_SIDED, R_SQUARE, 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, Z_STAT

Constructor Summary

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

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

Method Summary

double[]	getBeta()
double[]	getBetaPValue() the reason using String[] instead of double[] is that sometimes we have characters in the results e.g.
double[]	getBetaSE()
double[]	getBetaTStat()
int	getDF() get the degrees of freedom, df = sample size - number of parameters (including intercept).
double[]	getFValue()
double[]	getPredicted()
double[]	getResiduals()
double	getRSquare()
double[]	getSortedNormalQuantiles()
double[]	getSortedResiduals()
int[]	getSortedResidualsIndex()
double[]	getSortedStandardizedNormalQuantiles()
double[]	getSortedStandardizedResiduals()
java.lang.String[]	getVariableList() Accessors

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

getIntercept, getPlotData, getPredictor, parseIntercept, parsePlotData, parsePredictors

Methods inherited from class edu.ucla.stat.SOCR.analyses.result.AnalysisResult

getFormattedDouble, getFormattedGroup, getFormattedGroupArray, setDecimalFormat

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

getGraph, getTexture

Methods inherited from class java.lang.Object

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

Field Detail

VARIABLE_LIST

public static final java.lang.String VARIABLE_LIST

See Also:

Constant Field Values

BETA

public static final java.lang.String BETA

See Also:

Constant Field Values

BETA_SE

public static final java.lang.String BETA_SE

See Also:

Constant Field Values

DF_ERROR

public static final java.lang.String DF_ERROR

See Also:

Constant Field Values

BETA_T_STAT

public static final java.lang.String BETA_T_STAT

See Also:

Constant Field Values

BETA_P_VALUE

public static final java.lang.String BETA_P_VALUE

See Also:

Constant Field Values

PREDICTED

public static final java.lang.String PREDICTED

See Also:

Constant Field Values

RESIDUALS

public static final java.lang.String RESIDUALS

See Also:

Constant Field Values

SORTED_RESIDUALS

public static final java.lang.String SORTED_RESIDUALS

See Also:

Constant Field Values

SORTED_RESIDUALS_INDEX

public static final java.lang.String SORTED_RESIDUALS_INDEX

See Also:

Constant Field Values

SORTED_NORMAL_QUANTILES

public static final java.lang.String SORTED_NORMAL_QUANTILES

See Also:

Constant Field Values

Constructor Detail

ClusteringResult

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

Constructors

ClusteringResult

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

Method Detail

getVariableList

public java.lang.String[] getVariableList()

Accessors

getBeta

public double[] getBeta()

getBetaSE

public double[] getBetaSE()

getDF

public int getDF()

get the degrees of freedom, df = sample size - number of parameters (including intercept).

getBetaTStat

public double[] getBetaTStat()

getBetaPValue

public double[] getBetaPValue()

the reason using String[] instead of double[] is that sometimes we have characters in the results e.g. " < 10E-10 " and R especially likes doing those things.

getFValue

public double[] getFValue()

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()

getRSquare

public double getRSquare()