package dr.inference.model; import dr.math.matrixAlgebra.SymmetricMatrix; import dr.xml.*; /** * Created by IntelliJ IDEA. * User: msuchard * Date: Jul 7, 2007 * Time: 8:15:31 AM * To change this template use File | Settings | File Templates. */ public class CorrelationStatistic extends Statistic.Abstract { // public class CorrelationStatistic extends Statistic.Abstract { public static final String CORRELATION_STATISTIC = "correlation"; public static final String DIMENSION1 = "dimension1"; public static final String DIMENSION2 = "dimension2"; private MatrixParameter precision = null; private int dim1; private int dim2; public CorrelationStatistic(String name, MatrixParameter precision, int dim1, int dim2) { super(name); this.precision = precision; this.dim1 = dim1 - 1; this.dim2 = dim2 - 1; // System.err.println("MAKE!"); // System.exit(0); } public int getDimension() { return 1; } public double getStatisticValue(int dim) { double[][] variance = new SymmetricMatrix( precision.getParameterAsMatrix()).inverse().toComponents(); return variance[dim1][dim2] / Math.sqrt(variance[dim1][dim1] * variance[dim2][dim2]); } public static XMLObjectParser PARSER = new AbstractXMLObjectParser() { public String getParserName() { return CORRELATION_STATISTIC; } public Object parseXMLObject(XMLObject xo) throws XMLParseException { // ReciprocalStatistic recipStatistic = null; MatrixParameter matrix = (MatrixParameter) xo.getChild(MatrixParameter.class); int dim1 = xo.getIntegerAttribute(DIMENSION1); int dim2 = xo.getIntegerAttribute(DIMENSION2); if (dim1 < 1 || dim1 > matrix.getRowDimension() || dim2 < 1 || dim2 > matrix.getColumnDimension()) throw new XMLParseException("Invalid dimensions in " + getParserName() + " element"); return new CorrelationStatistic(CORRELATION_STATISTIC, matrix, dim1, dim2); } //************************************************************************ // AbstractXMLObjectParser implementation //************************************************************************ public String getParserDescription() { return "This element returns a precision that is the element-wise reciprocal of the child precision."; } public Class getReturnType() { return ReciprocalStatistic.class; } public XMLSyntaxRule[] getSyntaxRules() { return rules; } private XMLSyntaxRule[] rules = new XMLSyntaxRule[]{ new ElementRule(MatrixParameter.class, 1, 1), AttributeRule.newIntegerRule(DIMENSION1), AttributeRule.newIntegerRule(DIMENSION2) }; }; // } }