public class MultiLinearRegressionResult extends LinearModelResult
LinearModelResult.Intercept, LinearModelResult.PlotData, LinearModelResult.Predictor
Modifier and Type | Field and Description |
---|---|
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 |
ALPHA, ANOVA_Y_GROUP_MEANS, ANOVA_Y_MEAN, BETA_VAR, DELIMINATOR, 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
dom, F_VALUE, graph, JAVA_ERROR, MEAN_DIFF, MEAN_X, MEAN_Y, 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 and Description |
---|
MultiLinearRegressionResult(java.util.HashMap<java.lang.String,java.lang.Object> texture)
Constructors
|
MultiLinearRegressionResult(java.util.HashMap<java.lang.String,java.lang.Object> texture,
java.util.HashMap<java.lang.String,java.lang.Object> graph) |
Modifier and Type | Method and Description |
---|---|
double[] |
getBeta() |
java.lang.String[] |
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[] |
getSortedNormalQuantiles() |
double[] |
getSortedResiduals() |
int[] |
getSortedResidualsIndex() |
double[] |
getSortedStandardizedNormalQuantiles() |
double[] |
getSortedStandardizedResiduals() |
java.lang.String[] |
getVariableList()
Accessors
|
getIntercept, getPlotData, getPredictor, parseIntercept, parsePlotData, parsePredictors
getGraph, getTexture
public static final java.lang.String VARIABLE_LIST
public static final java.lang.String BETA
public static final java.lang.String BETA_SE
public static final java.lang.String DF_ERROR
public static final java.lang.String BETA_T_STAT
public static final java.lang.String BETA_P_VALUE
public static final java.lang.String PREDICTED
public static final java.lang.String RESIDUALS
public static final java.lang.String SORTED_RESIDUALS
public static final java.lang.String SORTED_RESIDUALS_INDEX
public static final java.lang.String SORTED_NORMAL_QUANTILES
public MultiLinearRegressionResult(java.util.HashMap<java.lang.String,java.lang.Object> texture)
public MultiLinearRegressionResult(java.util.HashMap<java.lang.String,java.lang.Object> texture, java.util.HashMap<java.lang.String,java.lang.Object> graph)
public java.lang.String[] getVariableList()
public double[] getBeta()
public double[] getBetaSE()
public int getDF()
public double[] getBetaTStat()
public java.lang.String[] getBetaPValue()
public double[] getFValue()
public double[] getResiduals()
public double[] getPredicted()
public double[] getSortedResiduals()
public double[] getSortedStandardizedResiduals()
public int[] getSortedResidualsIndex()
public double[] getSortedNormalQuantiles()
public double[] getSortedStandardizedNormalQuantiles()