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///////////////////////////////////////////////////////////////////////////////
// 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.tetrad.data;
import edu.cmu.tetrad.graph.Node;
import edu.cmu.tetrad.util.Matrix;
import java.io.IOException;
import java.io.ObjectInputStream;
import java.util.ArrayList;
import java.util.LinkedList;
import java.util.List;
/**
* Stores time series data as a list of continuous columns.
*
* @author josephramsey
*/
public final class TimeSeriesData implements DataModel {
private static final long serialVersionUID = 23L;
/**
* @serial
*/
private final Matrix data2;
/**
* @serial
*/
private final List varNames;
/**
* @serial
*/
private String name;
/**
* @serial
*/
private Knowledge knowledge = new Knowledge();
/**
* Constructs a new time series data contains for the given row-major data array and the given list of variables.
* Each row of the data, data[i], contains a measured for each variable (in order) for a particular time. The series
* of times is in increasing order.
*/
public TimeSeriesData(Matrix matrix, List varNames) {
if (matrix == null) {
throw new NullPointerException("Data must not be null.");
}
if (varNames == null) {
throw new NullPointerException("Variables must not be null.");
}
for (int i = 0; i < varNames.size(); i++) {
if (varNames.get(i) == null) {
throw new NullPointerException(
"Variable at index " + i + "is null.");
}
}
this.data2 = matrix;
if (varNames.size() != matrix.getNumColumns()) {
throw new IllegalArgumentException(
"Number of columns in the data " +
"must match the number of variables.");
}
this.varNames = varNames;
this.name = "Time Series Data";
}
/**
* Generates a simple exemplar of this class to test serialization.
*/
public static TimeSeriesData serializableInstance() {
List varNames = new ArrayList<>();
varNames.add("X");
varNames.add("Y");
return new TimeSeriesData(new Matrix(2, 2), varNames);
}
public String getName() {
return this.name;
}
public void setName(String name) {
if (name == null) {
throw new NullPointerException("Name must not be null.");
}
this.name = name;
}
@Override
public boolean isContinuous() {
return true;
}
@Override
public boolean isDiscrete() {
return false;
}
@Override
public boolean isMixed() {
return false;
}
@Override
public Node getVariable(String name) {
return null;
}
@Override
public DataModel copy() {
return null;
}
public List getVariables() {
List varNames = getVariableNames();
List vars = new LinkedList<>();
for (String varName : varNames) {
vars.add(new ContinuousVariable(varName));
}
return vars;
}
public Knowledge getKnowledge() {
System.out.println();
return this.knowledge.copy();
}
public void setKnowledge(Knowledge knowledge) {
if (knowledge == null) {
throw new NullPointerException();
}
this.knowledge = knowledge.copy();
}
/**
* @return (a copy of) the List of Variables for the data set, in the order of their columns.
*/
public List getVariableNames() {
return this.varNames;
}
public Matrix getData() {
return this.data2.copy();
}
public int getNumTimePoints() {
return getData().getNumRows();
}
public int getNumVars() {
return getVariableNames().size();
}
public double getDatum(int row, int col) {
return this.data2.get(row, col);
}
/**
* Adds semantic checks to the default deserialization method. This method must have the standard signature for a
* readObject method, and the body of the method must begin with "s.defaultReadObject();". Other than that, any
* semantic checks can be specified and do not need to stay the same from version to version. A readObject method of
* this form may be added to any class, even if Tetrad sessions were previously saved out using a version of the
* class that didn't include it. (That's what the "s.defaultReadObject();" is for. See J. Bloch, Effective Java, for
* help.
*/
private void readObject(ObjectInputStream s)
throws IOException, ClassNotFoundException {
s.defaultReadObject();
if (this.name == null) {
throw new NullPointerException();
}
if (this.varNames == null) {
throw new NullPointerException();
}
if (this.knowledge == null) {
throw new NullPointerException();
}
}
}
