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

Example 6 with IntCell

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

the class LeveneTestStatistics method getLeveneTestTwoGroupsCells.

/**
 * Get the test result of the Levene test. This is an optimized version for
 * two groups.
 * @return the Levene test
 */
public List<List<DataCell>> getLeveneTestTwoGroupsCells() {
    SummaryStatistics statsX = m_denStats.get(0);
    SummaryStatistics statsY = m_denStats.get(1);
    // overall sample mean
    double m = m_lstats.getMean();
    // first sample mean
    double m1 = statsX.getMean();
    // second sample mean
    double m2 = statsY.getMean();
    // first sample variance
    double v1 = statsX.getVariance();
    // second sample variance
    double v2 = statsY.getVariance();
    // first sample count
    double n1 = statsX.getN();
    // second sample count
    double n2 = statsY.getN();
    // Levene's test
    double num = n1 * (m1 - m) * (m1 - m) + n2 * (m2 - m) * (m2 - m);
    double den = (n1 - 1) * v1 + (n2 - 1) * v2;
    double L = (n1 + n2 - 2) / den * num;
    long df1 = 1;
    long df2 = (long) n1 + (long) n2 - 2;
    FDistribution distribution = new FDistribution(df1, df2);
    double pValue = 1 - distribution.cumulativeProbability(L);
    List<DataCell> cells = new ArrayList<DataCell>();
    cells.add(new StringCell(m_column));
    cells.add(new DoubleCell(L));
    cells.add(new IntCell((int) df1));
    cells.add(new IntCell((int) df2));
    cells.add(new DoubleCell(pValue));
    return Collections.singletonList(cells);
}

Example 7 with IntCell

use of org.knime.core.data.def.IntCell 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 8 with IntCell

use of org.knime.core.data.def.IntCell 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 9 with IntCell

use of org.knime.core.data.def.IntCell 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 10 with IntCell

use of org.knime.core.data.def.IntCell 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;
}