sascha@454: package de.intevation.gnv.statistics;
sascha@454:
sascha@454: import org.apache.commons.math.stat.descriptive.DescriptiveStatistics;
sascha@454:
sascha@454: import org.apache.commons.math.stat.regression.SimpleRegression;
sascha@454:
sascha@454: import org.apache.log4j.Logger;
sascha@454:
sascha@454: /**
ingo@814: * An abstract implementation of Statistics
with a default
ingo@814: * implementation of the {@link #generateStatisticsValues(org.apache.commons.math.stat.descriptive.DescriptiveStatistics, org.apache.commons.math.stat.regression.SimpleRegression, java.lang.String)}
ingo@814: * method.
ingo@814: *
sascha@780: * @author Sascha L. Teichmann
sascha@454: */
sascha@454: public abstract class AbstractStatistics
sascha@454: implements Statistics
sascha@454: {
sascha@454: private static Logger log = Logger.getLogger(
sascha@454: AbstractStatistics.class);
sascha@454:
sascha@454: public AbstractStatistics() {
sascha@454: }
sascha@454:
ingo@814: /**
ingo@814: * This method takes a statistics object and puts relevant values into a
ingo@814: * StatisticSet
.
ingo@814: *
ingo@814: * @param lStatistics A statistics object.
ingo@814: * @param lRegression A simple regression.
ingo@814: * @param statisticName Name for the resulting statistic.
ingo@814: * @return a set of statistics.
ingo@814: */
sascha@454: protected StatisticSet generateStatisticsValues(
sascha@454: DescriptiveStatistics lStatistics,
sascha@778: SimpleRegression lRegression,
sascha@454: String statisticName
sascha@454: ) {
sascha@454: StatisticSet statisticSet = new StatisticSet(statisticName);
sascha@778:
sascha@454: statisticSet.addStatistic(
sascha@454: new Statistic(
sascha@454: "gnviewer.statistics.descriptive.arithmeticMean",
sascha@454: lStatistics.getMean()));
sascha@454:
sascha@454: statisticSet.addStatistic(
sascha@454: new Statistic(
sascha@778: "gnviewer.statistics.descriptive.kurtosis",
sascha@454: lStatistics.getKurtosis()));
sascha@454:
sascha@454: statisticSet.addStatistic(
sascha@454: new Statistic(
sascha@454: "gnviewer.statistics.descriptive.max",
sascha@454: lStatistics.getMax()));
sascha@454:
sascha@454: statisticSet.addStatistic(
sascha@454: new Statistic(
sascha@454: "gnviewer.statistics.descriptive.min",
sascha@454: lStatistics.getMin()));
sascha@454:
sascha@454: statisticSet.addStatistic(
sascha@454: new Statistic(
sascha@454: "gnviewer.statistics.descriptive.n",
sascha@454: lStatistics.getN()));
sascha@454:
sascha@454: statisticSet.addStatistic(
sascha@454: new Statistic(
sascha@454: "gnviewer.statistics.descriptive.percentile.90",
sascha@454: lStatistics.getPercentile(90)));
sascha@454:
sascha@454: statisticSet.addStatistic(
sascha@454: new Statistic(
sascha@454: "gnviewer.statistics.descriptive.percentile.75",
sascha@454: lStatistics.getPercentile(75)));
sascha@454:
sascha@454: statisticSet.addStatistic(
sascha@454: new Statistic(
sascha@454: "gnviewer.statistics.descriptive.percentile.50",
sascha@454: lStatistics.getPercentile(50)));
sascha@454:
sascha@454: statisticSet.addStatistic(
sascha@454: new Statistic(
sascha@454: "gnviewer.statistics.descriptive.percentile.10",
sascha@454: lStatistics.getPercentile(10)));
sascha@454:
sascha@454: statisticSet.addStatistic(
sascha@454: new Statistic(
sascha@454: "gnviewer.statistics.descriptive.deviation",
sascha@454: lStatistics.getStandardDeviation()));
sascha@454:
sascha@454: statisticSet.addStatistic(
sascha@454: new Statistic(
sascha@454: "gnviewer.statistics.descriptive.variance",
sascha@454: lStatistics.getVariance()));
sascha@454:
sascha@454: statisticSet.addStatistic(
sascha@454: new Statistic(
sascha@778: "gnviewer.statistics.descriptive.intercept",
sascha@454: lRegression.getIntercept()));
sascha@454:
sascha@454: statisticSet.addStatistic(
sascha@454: new Statistic(
sascha@454: "gnviewer.statistics.descriptive.slope",
sascha@454: lRegression.getSlope()));
sascha@454:
sascha@454: return statisticSet;
sascha@454: }
sascha@454: }
sascha@454: // vim:set ts=4 sw=4 si et sta sts=4 fenc=utf8 :
sascha@454: