001    /*
002     * Copyright (C) 2008-2010 by Holger Arndt
003     *
004     * This file is part of the Universal Java Matrix Package (UJMP).
005     * See the NOTICE file distributed with this work for additional
006     * information regarding copyright ownership and licensing.
007     *
008     * UJMP is free software; you can redistribute it and/or modify
009     * it under the terms of the GNU Lesser General Public License as
010     * published by the Free Software Foundation; either version 2
011     * of the License, or (at your option) any later version.
012     *
013     * UJMP is distributed in the hope that it will be useful,
014     * but WITHOUT ANY WARRANTY; without even the implied warranty of
015     * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
016     * GNU Lesser General Public License for more details.
017     *
018     * You should have received a copy of the GNU Lesser General Public
019     * License along with UJMP; if not, write to the
020     * Free Software Foundation, Inc., 51 Franklin St, Fifth Floor,
021     * Boston, MA  02110-1301  USA
022     */
023    
024    package org.ujmp.core.doublematrix.calculation.general.missingvalues;
025    
026    import org.ujmp.core.Matrix;
027    import org.ujmp.core.doublematrix.calculation.AbstractDoubleCalculation;
028    import org.ujmp.core.doublematrix.calculation.general.statistical.Mean;
029    import org.ujmp.core.exceptions.MatrixException;
030    import org.ujmp.core.util.MathUtil;
031    
032    public class ImputeMean extends AbstractDoubleCalculation {
033            private static final long serialVersionUID = -3749987323095497386L;
034    
035            private Matrix mean = null;
036    
037            public ImputeMean(int dimension, Matrix matrix) {
038                    super(dimension, matrix);
039            }
040    
041            public double getDouble(long... coordinates) throws MatrixException {
042                    if (mean == null) {
043                            mean = new Mean(getDimension(), true, getSource()).calcNew();
044                    }
045                    double v = getSource().getAsDouble(coordinates);
046                    if (MathUtil.isNaNOrInfinite(v)) {
047                            switch (getDimension()) {
048                            case ALL:
049                                    return mean.getAsDouble(0, 0);
050                            case ROW:
051                                    return mean.getAsDouble(0, coordinates[COLUMN]);
052                            case COLUMN:
053                                    return mean.getAsDouble(coordinates[ROW], 0);
054                            }
055                    } else {
056                            return v;
057                    }
058                    return 0.0;
059            }
060    
061    }