Example usage for org.apache.commons.math3.util ResizableDoubleArray ResizableDoubleArray

Introduction

In this page you can find the example usage for org.apache.commons.math3.util ResizableDoubleArray ResizableDoubleArray.

Prototype

public ResizableDoubleArray(ResizableDoubleArray original) throws NullArgumentException 

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Document

Copy constructor.

Usage

From source file:com.itemanalysis.jmetrik.stats.ranking.RankingAnalysis.java

private ResizableDoubleArray getData() throws SQLException {
    Statement stmt = null;/*from   www. j av a2s  .  co m*/
    ResultSet rs = null;
    ResizableDoubleArray data = new ResizableDoubleArray((int) (maxProgress / 2.0));

    try {
        //connect to table to create data set to be ranked
        Table sqlTable = new Table(tableName.getNameForDatabase());
        SelectQuery select = new SelectQuery();
        select.addColumn(sqlTable, variable.getName().nameForDatabase());
        stmt = conn.createStatement(ResultSet.TYPE_SCROLL_INSENSITIVE, ResultSet.CONCUR_READ_ONLY);
        rs = stmt.executeQuery(select.toString());

        String vNameDb = variable.getName().nameForDatabase();

        double x = Double.NaN;
        int dbIndex = 0;//row position index for all records in db
        while (rs.next()) {
            x = rs.getDouble(vNameDb);
            if (!rs.wasNull()) {
                if (ascending) {
                    data.addElement(x);//ascending order
                } else {
                    data.addElement(-x);//descending order
                }

            } else {
                missingIndex.add(dbIndex);
            }
            dbIndex++;
            updateProgress();
        }
        return data;
    } catch (SQLException ex) {
        throw ex;
    } finally {
        if (rs != null)
            rs.close();
        if (stmt != null)
            stmt.close();

    }
}

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From source file:com.itemanalysis.jmetrik.graph.density.DensityAnalysis.java

public XYSeriesCollection summarize() throws SQLException, IllegalArgumentException {
    Statement stmt = null;//from  w  w w .  ja va2  s  .c om
    ResultSet rs = null;
    TreeMap<String, ResizableDoubleArray> data = new TreeMap<String, ResizableDoubleArray>();

    //set progress bar information
    int nrow = 0;
    JmetrikPreferencesManager pref = new JmetrikPreferencesManager();
    String dbType = pref.getDatabaseType();
    if (DatabaseType.APACHE_DERBY.toString().equals(dbType)) {
        JmetrikDatabaseFactory dbFactory = new JmetrikDatabaseFactory(DatabaseType.APACHE_DERBY);
        nrow = dao.getRowCount(conn, tableName);
    } else {
        //add other databases here when functionality is added
    }
    maxProgress = (double) nrow;

    Table sqlTable = new Table(tableName.getNameForDatabase());
    SelectQuery select = new SelectQuery();
    select.addColumn(sqlTable, variable.getName().nameForDatabase());
    if (hasGroupingVariable)
        select.addColumn(sqlTable, groupVar.getName().nameForDatabase());
    stmt = conn.createStatement(ResultSet.TYPE_SCROLL_INSENSITIVE, ResultSet.CONCUR_READ_ONLY);
    rs = stmt.executeQuery(select.toString());

    String conditionalName = "";
    ResizableDoubleArray cData = null;
    double value = Double.NaN;

    while (rs.next()) {
        if (groupVar != null) {
            String groupName = rs.getString(groupVar.getName().nameForDatabase());
            if (rs.wasNull()) {
                groupName = "";
            }
            conditionalName = groupName;
        } else {
            conditionalName = "Series 1";
        }

        cData = data.get(conditionalName);
        if (cData == null) {
            cData = new ResizableDoubleArray((int) maxProgress);
            data.put(conditionalName, cData);
        }
        value = rs.getDouble(variable.getName().nameForDatabase());
        if (!rs.wasNull()) {
            cData.addElement(value);
        }
        updateProgress();
    }
    rs.close();
    stmt.close();

    String kType = command.getSelectOneOption("kernel").getSelectedArgument();
    double adjustment = command.getFreeOption("adjust").getDouble();
    KernelFactory kernelFactory = new KernelFactory(kType);

    KernelFunction kernelFunction = kernelFactory.getKernelFunction();
    Bandwidth bandwidth = null;
    KernelDensity density = null;
    UniformDistributionApproximation uniform = null;
    Min min = new Min();
    Max max = new Max();
    double[] x = null;

    this.firePropertyChange("progress-ind-on", null, null);

    XYSeriesCollection seriesCollection = new XYSeriesCollection();
    XYSeries series = null;
    for (String s : data.keySet()) {
        series = new XYSeries(s);
        x = data.get(s).getElements();
        bandwidth = new ScottsBandwidth(x, adjustment);
        uniform = new UniformDistributionApproximation(min.evaluate(x), max.evaluate(x), KERNEL_POINTS);
        density = new KernelDensity(kernelFunction, bandwidth, uniform);

        double[] dens = density.evaluate(x);
        double[] points = density.getPoints();
        for (int i = 0; i < dens.length; i++) {
            series.add(points[i], dens[i]);
        }
        seriesCollection.addSeries(series);
    }
    return seriesCollection;

}

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