本文整理汇总了Java中org.apache.commons.math3.exception.util.LocalizedFormats.TWO_OR_MORE_VALUES_IN_CATEGORY_REQUIRED属性的典型用法代码示例。如果您正苦于以下问题：Java LocalizedFormats.TWO_OR_MORE_VALUES_IN_CATEGORY_REQUIRED属性的具体用法？Java LocalizedFormats.TWO_OR_MORE_VALUES_IN_CATEGORY_REQUIRED怎么用？Java LocalizedFormats.TWO_OR_MORE_VALUES_IN_CATEGORY_REQUIRED使用的例子？那么, 这里精选的属性代码示例或许可以为您提供帮助。您也可以进一步了解该属性所在类org.apache.commons.math3.exception.util.LocalizedFormats的用法示例。
在下文中一共展示了LocalizedFormats.TWO_OR_MORE_VALUES_IN_CATEGORY_REQUIRED属性的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: anovaStats
/**
* 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);
}