Package edu.cmu.tetrad.regression

Class RegressionDataset

java.lang.Object

edu.cmu.tetrad.regression.RegressionDataset

All Implemented Interfaces:

Regression

public class RegressionDataset
extends Object
implements Regression

Implements a regression model from tabular continuous data.

Version:

$Id: $Id

Author:

josephramsey

Constructor Summary

Constructors

Constructor	Description
RegressionDataset(DataSet data)	Constructs a linear regression model for the given tabular data set.
RegressionDataset(Matrix data, List<Node> variables)	Constructor for RegressionDataset.

Method Summary

Modifier and Type	Method	Description
Graph	getGraph()	Getter for the field graph.
Vector	getResidualsWithoutFirstRegressor()	getResidualsWithoutFirstRegressor.
static RegressionResult	regress(double[] target, double[][] regressors)	regress.
RegressionResult	regress(Node target, Node... regressors)	regress.
RegressionResult	regress(Node target, List<Node> regressors)	Regresses the target on the given regressors.
void	setAlpha(double alpha)	Sets the significance level at which coefficients are judged to be significant.
void	setRows(int[] rows)	Setter for the field rows.

Methods inherited from class java.lang.Object

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

Constructor Details

RegressionDataset

public RegressionDataset(DataSet data)

Constructs a linear regression model for the given tabular data set.

Parameters:

data - A rectangular data set, the relevant variables of which are continuous.

RegressionDataset

public RegressionDataset(Matrix data,
 List<Node> variables)

Constructor for RegressionDataset.

Parameters:

data - a Matrix object

variables - a List object

Method Details

regress

public static RegressionResult regress(double[] target,
 double[][] regressors)

regress.

Parameters:

target - an array of objects

regressors - an array of objects

Returns:

a RegressionResult object

setAlpha

public void setAlpha(double alpha)

Sets the significance level at which coefficients are judged to be significant.

Sets the alpha level for deciding which regressors are significant based on their p values.

Specified by:

setAlpha in interface Regression

Parameters:

alpha - the significance level.

getGraph

public Graph getGraph()

Getter for the field graph.

Specified by:

getGraph in interface Regression

Returns:

This graph.

regress

public RegressionResult regress(Node target,
 List<Node> regressors)

Regresses the target on the given regressors.

Specified by:

regress in interface Regression

Parameters:

target - The target variable.

regressors - The regressor variables.

Returns:

The regression plane, specifying for each regressors its coefficeint, se, t, and p values, and specifying the same for the constant.

regress

public RegressionResult regress(Node target,
 Node... regressors)

regress.

Specified by:

regress in interface Regression

Parameters:

target - a Node object

regressors - a Node object

Returns:

a RegressionResult object

setRows

public void setRows(int[] rows)

Setter for the field rows.

Parameters:

rows - an array of objects

getResidualsWithoutFirstRegressor

public Vector getResidualsWithoutFirstRegressor()

getResidualsWithoutFirstRegressor.

Returns:

a Vector object