performancestatisticsasset.DistributionSet.java Source code

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Here is the source code for performancestatisticsasset.DistributionSet.java

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/*
 * Copyright 2016 Giel van Lankveld
 * Email: Giel.vanLankveld@ou.nl
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package performancestatisticsasset;

import java.util.ArrayList;
import java.util.List;
import org.apache.commons.math3.stat.descriptive.DescriptiveStatistics;

/**
 *
 * @author GLA
 */
public class DistributionSet {
    //Class for containing sets of analysed descriptives data
    List<Distribution> distributionSet = new ArrayList<>();

    void addDistribution(Distribution dist) {
        distributionSet.add(dist);
    }

    Integer size() {
        return distributionSet.size();
    }

    public void setDistributionSet(String targetGroup, String targetTask, String targetMeasure,
            RecordList dataSet) {
        //Determine the number of trials selected by group and by task
        int trials = 0;
        int len = dataSet.records.size();
        for (int i = 0; i < len; i++) {
            if (dataSet.records.get(i).getTrialNumber() > trials)
                trials = dataSet.records.get(i).getTrialNumber();
        }

        Distribution tempDist;
        DescriptiveStatistics tempStat;
        //For each trial of the set do
        for (int i = 0; i < trials; i++) {
            tempDist = new Distribution();
            tempStat = new DescriptiveStatistics();
            //Select data
            for (int j = 0; j < len; j++) {
                //If the current record is of the correct trial
                if ((dataSet.records.get(j).getTrialNumber() == i + 1)
                        && (targetGroup.equals(dataSet.records.get(j).getGroupID()))
                        && (targetTask.equals(dataSet.records.get(j).getTaskID()))) {
                    //Fill distribution
                    switch (targetMeasure) {
                    case "time":
                        tempStat.addValue(dataSet.records.get(j).getTimeToComplete());
                        break;
                    case "perf":
                        tempStat.addValue(dataSet.records.get(j).getPerformance());
                        break;
                    }
                }
            }
            //Transfer the computed statistics to tempDist
            tempDist.max = tempStat.getMax();
            tempDist.min = tempStat.getMin();
            tempDist.sum = tempStat.getSum();
            tempDist.variance = tempStat.getVariance();
            tempDist.mean = tempStat.getMean();
            tempDist.stdDev = tempStat.getStandardDeviation();
            tempDist.skewness = tempStat.getSkewness();
            tempDist.kurtosis = tempStat.getKurtosis();
            tempDist.n = tempStat.getN();

            //Add tempDist to distributionSet
            distributionSet.add(tempDist);
        }
    }

    public void setDistributionSet(String targetTask, String targetMeasure, RecordList dataSet) {
        //Determine the number of trials selected by task
        int trials = 0;
        int len = dataSet.records.size();
        for (int i = 0; i < len; i++) {
            if (dataSet.records.get(i).getTrialNumber() > trials)
                trials = dataSet.records.get(i).getTrialNumber();
        }

        Distribution tempDist;
        DescriptiveStatistics tempStat;
        //For each trial of the set do
        for (int i = 0; i < trials; i++) {
            tempDist = new Distribution();
            tempStat = new DescriptiveStatistics();
            //Select data
            for (int j = 0; j < len; j++) {
                //If the current record is of the correct trial
                if ((dataSet.records.get(j).getTrialNumber() == i + 1)
                        && (targetTask.equals(dataSet.records.get(j).getTaskID()))) {
                    //Fill distribution
                    switch (targetMeasure) {
                    case "time":
                        tempStat.addValue(dataSet.records.get(j).getTimeToComplete());
                        break;
                    case "perf":
                        tempStat.addValue(dataSet.records.get(j).getPerformance());
                        break;
                    }
                }
            }
            //Transfer the computed statistics to tempDist
            tempDist.max = tempStat.getMax();
            tempDist.min = tempStat.getMin();
            tempDist.sum = tempStat.getSum();
            tempDist.variance = tempStat.getVariance();
            tempDist.mean = tempStat.getMean();
            tempDist.stdDev = tempStat.getStandardDeviation();
            tempDist.skewness = tempStat.getSkewness();
            tempDist.kurtosis = tempStat.getKurtosis();
            tempDist.n = tempStat.getN();

            //Add tempDist to distributionSet
            distributionSet.add(tempDist);
        }
    }
}