本文整理匯總了Java中org.apache.commons.math3.stat.descriptive.SummaryStatistics.getSumsq方法的典型用法代碼示例。如果您正苦於以下問題：Java SummaryStatistics.getSumsq方法的具體用法？Java SummaryStatistics.getSumsq怎麽用？Java SummaryStatistics.getSumsq使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類org.apache.commons.math3.stat.descriptive.SummaryStatistics的用法示例。
在下文中一共展示了SummaryStatistics.getSumsq方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Java代碼示例。
示例1: getStats
import org.apache.commons.math3.stat.descriptive.SummaryStatistics; //導入方法依賴的package包/類
private static Stats getStats(FloatColumn values, SummaryStatistics summaryStatistics) {
Stats stats = new Stats("Column: " + values.name());
stats.min = (float) summaryStatistics.getMin();
stats.max = (float) summaryStatistics.getMax();
stats.n = summaryStatistics.getN();
stats.sum = summaryStatistics.getSum();
stats.variance = summaryStatistics.getVariance();
stats.populationVariance = summaryStatistics.getPopulationVariance();
stats.quadraticMean = summaryStatistics.getQuadraticMean();
stats.geometricMean = summaryStatistics.getGeometricMean();
stats.mean = summaryStatistics.getMean();
stats.standardDeviation = summaryStatistics.getStandardDeviation();
stats.sumOfLogs = summaryStatistics.getSumOfLogs();
stats.sumOfSquares = summaryStatistics.getSumsq();
stats.secondMoment = summaryStatistics.getSecondMoment();
return stats;
}
示例2: anovaStats
import org.apache.commons.math3.stat.descriptive.SummaryStatistics; //導入方法依賴的package包/類
/**
* This method actually does the calculations (except P-value).
*
* @param categoryData <code>Collection</code> of <code>double[]</code>
* arrays each containing data for one category
* @param allowOneElementData if true, allow computation for one catagory
* only or for one data element per category
* @return computed AnovaStats
* @throws NullArgumentException if <code>categoryData</code> is <code>null</code>
* @throws DimensionMismatchException if <code>allowOneElementData</code> is false and the number of
* categories is less than 2 or a contained SummaryStatistics does not contain
* at least two values
*/
private AnovaStats anovaStats(final Collection<SummaryStatistics> categoryData,
final boolean allowOneElementData)
throws NullArgumentException, DimensionMismatchException {
MathUtils.checkNotNull(categoryData);
if (!allowOneElementData) {
// check if we have enough categories
if (categoryData.size() < 2) {
throw new DimensionMismatchException(LocalizedFormats.TWO_OR_MORE_CATEGORIES_REQUIRED,
categoryData.size(), 2);
}
// check if each category has enough data
for (final SummaryStatistics array : categoryData) {
if (array.getN() <= 1) {
throw new DimensionMismatchException(LocalizedFormats.TWO_OR_MORE_VALUES_IN_CATEGORY_REQUIRED,
(int) array.getN(), 2);
}
}
}
int dfwg = 0;
double sswg = 0;
double totsum = 0;
double totsumsq = 0;
int totnum = 0;
for (final SummaryStatistics data : categoryData) {
final double sum = data.getSum();
final double sumsq = data.getSumsq();
final int num = (int) data.getN();
totnum += num;
totsum += sum;
totsumsq += sumsq;
dfwg += num - 1;
final double ss = sumsq - ((sum * sum) / num);
sswg += ss;
}
final double sst = totsumsq - ((totsum * totsum) / totnum);
final double ssbg = sst - sswg;
final int dfbg = categoryData.size() - 1;
final double msbg = ssbg / dfbg;
final double mswg = sswg / dfwg;
final double F = msbg / mswg;
return new AnovaStats(dfbg, dfwg, F);
}