Examples with DoubleCell org.knime.core.data.def.DoubleCell used on opensource projects

Example 11 with DoubleCell

use of org.knime.core.data.def.DoubleCell in project knime-core by knime.

the class OneWayANOVAStatistics method getGroupStatistics.

/**
 * Get descriptive statistics for the given Group.
 * @param groupIndex the index of the group
 * @return the descriptive statistics for this group.
 */
public List<DataCell> getGroupStatistics(final int groupIndex) {
    List<DataCell> cells = new ArrayList<DataCell>();
    cells.add(new StringCell(m_column));
    cells.add(new StringCell(m_groups.get(groupIndex)));
    SummaryStatistics stats = m_gstats.get(groupIndex);
    cells.add(new IntCell((int) stats.getN()));
    cells.add(new IntCell(m_missing.get(groupIndex).intValue()));
    cells.add(new IntCell(m_missingGroup.intValue()));
    cells.add(new DoubleCell(stats.getMean()));
    cells.add(new DoubleCell(stats.getStandardDeviation()));
    cells.add(new DoubleCell(StatsUtil.getStandardError(stats)));
    cells.add(new DoubleCell(m_confidenceIntervalProp));
    long df = stats.getN() - 1;
    TDistribution distribution = new TDistribution(df);
    double tValue = FastMath.abs(distribution.inverseCumulativeProbability((1 - m_confidenceIntervalProp) / 2));
    double confidenceDelta = tValue * StatsUtil.getStandardError(stats);
    double confidenceLowerBound = stats.getMean() - confidenceDelta;
    double confidenceUpperBound = stats.getMean() + confidenceDelta;
    cells.add(new DoubleCell(confidenceLowerBound));
    cells.add(new DoubleCell(confidenceUpperBound));
    cells.add(new DoubleCell(stats.getMin()));
    cells.add(new DoubleCell(stats.getMax()));
    return cells;
}

Example 12 with DoubleCell

use of org.knime.core.data.def.DoubleCell in project knime-core by knime.

the class OneWayANOVAStatistics method getGroupsTotalStatistics.

/**
 * Get descriptive statistics for all groups.
 * @return the descriptive statistics for all groups
 */
public List<DataCell> getGroupsTotalStatistics() {
    List<DataCell> cells = new ArrayList<DataCell>();
    cells.add(new StringCell(m_column));
    cells.add(new StringCell("Total"));
    SummaryStatistics stats = m_stats;
    cells.add(new IntCell((int) stats.getN()));
    int missingCount = 0;
    for (MutableInteger m : m_missing) {
        missingCount += m.intValue();
    }
    cells.add(new IntCell(missingCount));
    cells.add(new IntCell(m_missingGroup.intValue()));
    cells.add(new DoubleCell(stats.getMean()));
    cells.add(new DoubleCell(stats.getStandardDeviation()));
    cells.add(new DoubleCell(StatsUtil.getStandardError(stats)));
    cells.add(new DoubleCell(m_confidenceIntervalProp));
    long df = stats.getN() - 1;
    TDistribution distribution = new TDistribution(df);
    double tValue = FastMath.abs(distribution.inverseCumulativeProbability((1 - m_confidenceIntervalProp) / 2));
    double confidenceDelta = tValue * StatsUtil.getStandardError(stats);
    double confidenceLowerBound = stats.getMean() - confidenceDelta;
    double confidenceUpperBound = stats.getMean() + confidenceDelta;
    cells.add(new DoubleCell(confidenceLowerBound));
    cells.add(new DoubleCell(confidenceUpperBound));
    cells.add(new DoubleCell(stats.getMin()));
    cells.add(new DoubleCell(stats.getMax()));
    return cells;
}

Example 13 with DoubleCell

use of org.knime.core.data.def.DoubleCell in project knime-core by knime.

the class OneWayANOVAStatistics method getTotal.

/**
 * Get the row of the ANOVA table with the cells "Total".
 */
private List<DataCell> getTotal(final ANOVA anova) {
    List<DataCell> cells = new ArrayList<DataCell>();
    cells.add(new StringCell(m_column));
    cells.add(new StringCell(SOURCE_TOTAL));
    cells.add(new DoubleCell(anova.getSqurb() + anova.getSquri()));
    cells.add(new IntCell((int) (anova.getDfb() + anova.getDfi())));
    cells.add(DataType.getMissingCell());
    cells.add(DataType.getMissingCell());
    cells.add(DataType.getMissingCell());
    return cells;
}

Example 14 with DoubleCell

use of org.knime.core.data.def.DoubleCell in project knime-core by knime.

the class OneSampleTTestStatistics method getDescStats.

/**
 * Get descriptive statistics for the given column
 * @param rowID the row key
 * @param column the name of the column
 * @param stats the statistics of the column
 * @param missing the missing values in this column
 * @return a DataRow with descriptive statistics
 */
private List<DataCell> getDescStats(final String column, final SummaryStatistics stats, final MutableInteger missing) {
    List<DataCell> cells = new ArrayList<DataCell>();
    cells.add(new StringCell(column));
    cells.add(new IntCell((int) stats.getN()));
    cells.add(new IntCell(missing.intValue()));
    cells.add(new DoubleCell(stats.getMean()));
    cells.add(new DoubleCell(stats.getStandardDeviation()));
    cells.add(new DoubleCell(StatsUtil.getStandardError(stats)));
    return cells;
}

Example 15 with DoubleCell

use of org.knime.core.data.def.DoubleCell in project knime-core by knime.

the class AppendVariableToTableNodeModel method createColumnRearranger.

private ColumnRearranger createColumnRearranger(final DataTableSpec spec) throws InvalidSettingsException {
    ColumnRearranger arranger = new ColumnRearranger(spec);
    Set<String> nameHash = new HashSet<String>();
    for (DataColumnSpec c : spec) {
        nameHash.add(c.getName());
    }
    List<Pair<String, FlowVariable.Type>> vars;
    if (m_settings.getIncludeAll()) {
        vars = getAllVariables();
    } else {
        vars = m_settings.getVariablesOfInterest();
    }
    if (vars.isEmpty()) {
        throw new InvalidSettingsException("No variables selected");
    }
    DataColumnSpec[] specs = new DataColumnSpec[vars.size()];
    final DataCell[] values = new DataCell[vars.size()];
    for (int i = 0; i < vars.size(); i++) {
        Pair<String, FlowVariable.Type> c = vars.get(i);
        String name = c.getFirst();
        DataType type;
        switch(c.getSecond()) {
            case DOUBLE:
                type = DoubleCell.TYPE;
                try {
                    double dValue = peekFlowVariableDouble(name);
                    values[i] = new DoubleCell(dValue);
                } catch (NoSuchElementException e) {
                    throw new InvalidSettingsException("No such flow variable (of type double): " + name);
                }
                break;
            case INTEGER:
                type = IntCell.TYPE;
                try {
                    int iValue = peekFlowVariableInt(name);
                    values[i] = new IntCell(iValue);
                } catch (NoSuchElementException e) {
                    throw new InvalidSettingsException("No such flow variable (of type int): " + name);
                }
                break;
            case STRING:
                type = StringCell.TYPE;
                try {
                    String sValue = peekFlowVariableString(name);
                    sValue = sValue == null ? "" : sValue;
                    values[i] = new StringCell(sValue);
                } catch (NoSuchElementException e) {
                    throw new InvalidSettingsException("No such flow variable (of type String): " + name);
                }
                break;
            default:
                throw new InvalidSettingsException("Unsupported variable type: " + c.getSecond());
        }
        if (nameHash.contains(name) && !name.toLowerCase().endsWith("(variable)")) {
            name = name.concat(" (variable)");
        }
        String newName = name;
        int uniquifier = 1;
        while (!nameHash.add(newName)) {
            newName = name + " (#" + (uniquifier++) + ")";
        }
        specs[i] = new DataColumnSpecCreator(newName, type).createSpec();
    }
    arranger.append(new AbstractCellFactory(specs) {

        /**
         * {@inheritDoc}
         */
        @Override
        public DataCell[] getCells(final DataRow row) {
            return values;
        }
    });
    return arranger;
}