Examples with BufferedDataContainer org.knime.core.node.BufferedDataContainer used on opensource projects

Example 11 with BufferedDataContainer

use of org.knime.core.node.BufferedDataContainer in project knime-core by knime.

the class OneWayANOVANodeModel method getDescriptiveStatisticsTable.

/**
 * Get table with descriptive statistics
 * @param result test statistic
 * @param exec the exection context
 * @return a combined table of the test statistic
 */
private BufferedDataTable getDescriptiveStatisticsTable(final OneWayANOVAStatistics[] result, final ExecutionContext exec) {
    BufferedDataContainer cont = exec.createDataContainer(OneWayANOVAStatistics.getGroupStatisticsSpec());
    int r = 0;
    for (int i = 0; i < result.length; i++) {
        for (List<DataCell> cells : result[i].getGroupStatisticsCells()) {
            cont.addRowToTable(new DefaultRow(RowKey.createRowKey(r), cells));
            r++;
        }
    }
    cont.close();
    return cont.getTable();
}

Example 12 with BufferedDataContainer

use of org.knime.core.node.BufferedDataContainer in project knime-core by knime.

the class OneWayANOVANodeModel method getTestStatisticsTable.

/**
 * Get table with test statistics
 * @param result test statistic
 * @param exec the execution context
 * @return a combined table of the test statistic
 */
private BufferedDataTable getTestStatisticsTable(final OneWayANOVAStatistics[] result, final ExecutionContext exec) {
    BufferedDataContainer cont = exec.createDataContainer(OneWayANOVAStatistics.getTableSpec());
    int r = 0;
    for (int i = 0; i < result.length; i++) {
        for (List<DataCell> cells : result[i].getTTestCells()) {
            cont.addRowToTable(new DefaultRow(RowKey.createRowKey(r), cells));
            r++;
        }
    }
    cont.close();
    return cont.getTable();
}

Example 13 with BufferedDataContainer

use of org.knime.core.node.BufferedDataContainer in project knime-core by knime.

the class LeveneTestStatistics method getTTestTable.

/**
 * Get the test result of the t-test, for the assumption of equal
 * variance and the assumption of unequal variances.
 * @param exec the execution context
 * @return the t-test results
 */
public BufferedDataTable getTTestTable(final ExecutionContext exec) {
    DataTableSpec outSpec = getTableSpec();
    BufferedDataContainer cont = exec.createDataContainer(outSpec);
    int r = 0;
    for (List<DataCell> cells : getTTestCells()) {
        cont.addRowToTable(new DefaultRow(RowKey.createRowKey(r), cells));
        r++;
    }
    cont.close();
    BufferedDataTable outTable = cont.getTable();
    return outTable;
}

Example 14 with BufferedDataContainer

use of org.knime.core.node.BufferedDataContainer in project knime-core by knime.

the class StandCronbachNodeModel method execute.

/**
 * {@inheritDoc}
 */
@Override
protected PortObject[] execute(final PortObject[] inData, final ExecutionContext exec) throws Exception {
    PMCCPortObjectAndSpec model = (PMCCPortObjectAndSpec) inData[0];
    HalfDoubleMatrix mat = model.getCorrelationMatrix();
    double sum = 0;
    double count = 0;
    for (int i = 0; i < mat.getRowCount(); i++) {
        for (int j = i + 1; j < mat.getRowCount(); j++) {
            if (Double.isNaN(mat.get(i, j))) {
                throw new IOException("No NAN values supported for the calculation, " + "try using an alternative correlation meassure");
            }
            sum += mat.get(i, j);
            count++;
        }
    }
    double mean = sum / count;
    double cronbach = (mat.getRowCount() * mean) / (1 + (mat.getRowCount() - 1) * mean);
    BufferedDataContainer out = exec.createDataContainer(getDataTableSpec());
    RowKey k = new RowKey("Cronbach");
    DataRow r = new DefaultRow(k, new DoubleCell(cronbach));
    out.addRowToTable(r);
    out.close();
    return new BufferedDataTable[] { out.getTable() };
}

Example 15 with BufferedDataContainer

use of org.knime.core.node.BufferedDataContainer in project knime-core by knime.

the class OneWayANOVAStatistics method getTTestTable.

/**
 * Get the test result of the t-test, for the assumption of equal
 * variance and the assumption of unequal variances.
 * @param exec the execution context
 * @return the t-test results
 */
public BufferedDataTable getTTestTable(final ExecutionContext exec) {
    DataTableSpec outSpec = getTableSpec();
    BufferedDataContainer cont = exec.createDataContainer(outSpec);
    int r = 0;
    for (List<DataCell> cells : getTTestCells()) {
        cont.addRowToTable(new DefaultRow(RowKey.createRowKey(r), cells));
        r++;
    }
    cont.close();
    BufferedDataTable outTable = cont.getTable();
    return outTable;
}