edu.cmu.tetradapp.editor.ScatterPlotOld Maven / Gradle / Ivy
///////////////////////////////////////////////////////////////////////////////
// For information as to what this class does, see the Javadoc, below. //
// Copyright (C) 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, //
// 2007, 2008, 2009, 2010, 2014, 2015, 2022 by Peter Spirtes, Richard //
// Scheines, Joseph Ramsey, and Clark Glymour. //
// //
// This program is free software; you can redistribute it and/or modify //
// it under the terms of the GNU General Public License as published by //
// the Free Software Foundation; either version 2 of the License, or //
// (at your option) any later version. //
// //
// This program is distributed in the hope that it will be useful, //
// but WITHOUT ANY WARRANTY; without even the implied warranty of //
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the //
// GNU General Public License for more details. //
// //
// You should have received a copy of the GNU General Public License //
// along with this program; if not, write to the Free Software //
// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA //
///////////////////////////////////////////////////////////////////////////////
package edu.cmu.tetradapp.editor;
import edu.cmu.tetrad.data.ContinuousVariable;
import edu.cmu.tetrad.data.DataSet;
import java.util.Vector;
/**
* Immutable object that wraps a dataset and gives a scatter plot.
*
* @author Michael Freenor
*/
public class ScatterPlotOld {
private DataSet dataSet;
private Vector indexSet;
private Vector complementIndexSet;
private boolean drawRegLine;
private ContinuousVariable yVariable;
private ContinuousVariable xVariable;
private double[] yData;
private double[] xData;
private double xMin, yMin, xMax, yMax;
/**
* Constructs the scatter plot given the dataset to wrap and the node that should be viewed.
*/
public ScatterPlotOld(DataSet dataSet, ContinuousVariable yVariable, ContinuousVariable xVariable) {
setDrawRegLine(false);
/*
The next two if-else statements deal with what happens if the
y and x variables are null. If they are null, the code simply
selects the first continuous variable from the data set and
uses that instead.
*/
if (xVariable != null)
this.xVariable = xVariable;
else {
for (int i = 0; i < dataSet.getNumColumns(); i++) {
if (dataSet.getVariable(i) instanceof ContinuousVariable) {
this.xVariable = (ContinuousVariable) dataSet.getVariable(i);
break;
}
}
}
if (yVariable != null)
this.setyVariable(yVariable);
else {
for (int i = 0; i < dataSet.getNumColumns(); i++) {
if (dataSet.getVariable(i) instanceof ContinuousVariable) {
this.setyVariable((ContinuousVariable) dataSet.getVariable(i));
break;
}
}
}
int yIndex = dataSet.getColumn(yVariable);
int xIndex = dataSet.getColumn(xVariable);
if (yIndex == -1) yIndex = 0;
if (xIndex == -1) xIndex = 0;
setxData(new double[dataSet.getNumRows()]);
setyData(new double[dataSet.getNumRows()]);
this.xMin = Double.MAX_VALUE;
this.xMax = Double.MIN_VALUE;
this.yMin = Double.MAX_VALUE;
this.yMax = Double.MIN_VALUE;
for (int i = 0; i < dataSet.getNumRows(); i++) {
getyData()[i] = dataSet.getDouble(i, yIndex);
getxData()[i] = dataSet.getDouble(i, xIndex);
if (getyData()[i] < this.yMin) this.yMin = getyData()[i];
if (getyData()[i] > this.yMax) this.yMax = getyData()[i];
if (getxData()[i] < this.xMin) this.xMin = getxData()[i];
if (getxData()[i] > this.xMax) this.xMax = getxData()[i];
}
this.setDataSet(dataSet);
setIndexSet(new Vector());
setComplementIndexSet(new Vector());
for (int i = 0; i < dataSet.getNumRows(); i++)
getIndexSet().add(i);
}
//==================================== Public Methods ====================================//
/**
* @return the max sample value between the y and x variables.
*/
public double getMaxSample() {
if (this.xMax > this.yMax) return this.xMax;
else return this.yMax;
}
/**
* @return the min sample value.
*/
public double getMinSample() {
if (this.xMin < this.yMin) return this.xMin;
else return this.yMin;
}
public ContinuousVariable getXVariable() {
return this.xVariable;
}
public ContinuousVariable getYVariable() {
return getyVariable();
}
public double[] getYData() {
return getyData();
}
public double[] getXData() {
return getxData();
}
/**
* The complete data set
*/
public DataSet getDataSet() {
return this.dataSet;
}
public double[] getyData() {
return this.yData;
}
private void setyData(double[] yData) {
this.yData = yData;
}
public double[] getxData() {
return this.xData;
}
private void setxData(double[] xData) {
this.xData = xData;
}
private void setDataSet(DataSet dataSet) {
this.dataSet = dataSet;
}
/**
* The indexSet is the set of indices that will be rendered when the
* ScatterPlot is drawn. This is used in the case of adding conditional
* variables, where we only want to view the y/x variables plotted against
* each other when some other set of variables fall within particular ranges.
*
* When there are no conditional variables in use, the indexSet contains
* numbers (0, ..., (n - 1)) (all of the indices).
*/
public Vector getIndexSet() {
return this.indexSet;
}
public void setIndexSet(Vector indexSet) {
this.indexSet = indexSet;
}
public Vector getComplementIndexSet() {
return this.complementIndexSet;
}
public void setComplementIndexSet(Vector complementIndexSet) {
this.complementIndexSet = complementIndexSet;
}
public boolean isDrawRegLine() {
return this.drawRegLine;
}
public void setDrawRegLine(boolean drawRegLine) {
this.drawRegLine = drawRegLine;
}
private ContinuousVariable getyVariable() {
return this.yVariable;
}
private void setyVariable(ContinuousVariable yVariable) {
this.yVariable = yVariable;
}
}