import org.apache.commons.math3.stat.ranking.TiesStrategy; //导入依赖的package包/类
/**
 * Returns the rank array for the values specified
 * @param values    the values to rank
 * @return          the ranks of input array
 */
static double[] rank(double[] values) {
    final NaNStrategy nanStrategy = (NaNStrategy)optionsMap.get(NaNStrategy.class).get(DataFrameOptions.getNanStrategy());
    final TiesStrategy tieStrategy = (TiesStrategy)optionsMap.get(TiesStrategy.class).get(DataFrameOptions.getTieStrategy());
    if (nanStrategy == null) throw new DataFrameException("Unsupported NaN strategy specified: " + DataFrameOptions.getNanStrategy());
    if (tieStrategy == null) throw new DataFrameException("Unsupported tie strategy specified: " + DataFrameOptions.getTieStrategy());
    final NaturalRanking ranking = new NaturalRanking(nanStrategy, tieStrategy);
    return ranking.rank(values);
}
 

import org.apache.commons.math3.stat.ranking.TiesStrategy; //导入依赖的package包/类
/**
 * Create a test instance where NaN's are left in place and ties get
 * the average of applicable ranks. Use this unless you are very sure
 * of what you are doing.
 */
public WilcoxonSignedRankTest() {
    naturalRanking = new NaturalRanking(NaNStrategy.FIXED,
            TiesStrategy.AVERAGE);
}
 

import org.apache.commons.math3.stat.ranking.TiesStrategy; //导入依赖的package包/类
/**
 * Create a test instance using where NaN's are left in place and ties get
 * the average of applicable ranks. Use this unless you are very sure of
 * what you are doing.
 */
public MannWhitneyUTest() {
    naturalRanking = new NaturalRanking(NaNStrategy.FIXED,
            TiesStrategy.AVERAGE);
}