List of usage examples for org.apache.commons.math3.stat.descriptive SummaryStatistics SummaryStatistics
public SummaryStatistics()
From source file:com.sop4j.SimpleStatistics.java
public static void main(String[] args) { final MersenneTwister rng = new MersenneTwister(); // used for RNG... READ THE DOCS!!! final int[] values = new int[NUM_VALUES]; final DescriptiveStatistics descriptiveStats = new DescriptiveStatistics(); // stores values final SummaryStatistics summaryStats = new SummaryStatistics(); // doesn't store values final Frequency frequency = new Frequency(); // add numbers into our stats for (int i = 0; i < NUM_VALUES; ++i) { values[i] = rng.nextInt(MAX_VALUE); descriptiveStats.addValue(values[i]); summaryStats.addValue(values[i]); frequency.addValue(values[i]);/*from www .j a va2 s .c o m*/ } // print out some standard stats System.out.println("MIN: " + summaryStats.getMin()); System.out.println("AVG: " + String.format("%.3f", summaryStats.getMean())); System.out.println("MAX: " + summaryStats.getMax()); // get some more complex stats only offered by DescriptiveStatistics System.out.println("90%: " + descriptiveStats.getPercentile(90)); System.out.println("MEDIAN: " + descriptiveStats.getPercentile(50)); System.out.println("SKEWNESS: " + String.format("%.4f", descriptiveStats.getSkewness())); System.out.println("KURTOSIS: " + String.format("%.4f", descriptiveStats.getKurtosis())); // quick and dirty stats (need a little help from Guava to convert from int[] to double[]) System.out.println("MIN: " + StatUtils.min(Doubles.toArray(Ints.asList(values)))); System.out.println("AVG: " + String.format("%.4f", StatUtils.mean(Doubles.toArray(Ints.asList(values))))); System.out.println("MAX: " + StatUtils.max(Doubles.toArray(Ints.asList(values)))); // some stats based upon frequencies System.out.println("NUM OF 7s: " + frequency.getCount(7)); System.out.println("CUMULATIVE FREQUENCY OF 7: " + frequency.getCumFreq(7)); System.out.println("PERCENTAGE OF 7s: " + frequency.getPct(7)); }
From source file:it.cnr.isti.smartfed.test.TestResult.java
public static void reset() { allocationTime = new SummaryStatistics(); mappingTime = new SummaryStatistics(); berger = new SummaryStatistics(); cost = new SummaryStatistics(); failures = new SummaryStatistics(); vmDifference = new SummaryStatistics(); lockDegree = new SummaryStatistics(); }
From source file:cn.edu.suda.core.stats.StatsUtils.java
public static DataMatrix addTTest(DataMatrix dm, int m, int n) { int col = dm.getDcol(); dm.addCols(2);//from w ww . j a v a 2s .co m dm.setColname(col, "ABS_t_value"); dm.setColname(col + 1, "P_value"); for (int i = 0; i < dm.getDrow(); i++) { double[] array = dm.getRow(i); SummaryStatistics stats1 = new SummaryStatistics(); SummaryStatistics stats2 = new SummaryStatistics(); for (int j = 0; j < m; j++) { stats1.addValue(array[j]); } for (int j = m; j < m + n; j++) { stats2.addValue(array[j]); } double var1 = stats1.getVariance(); double var2 = stats2.getVariance(); if (var1 == 0 && var2 == 0) { dm.setValue(i, col, 0); dm.setValue(i, col + 1, 1); } else { double t = Math.abs(TestUtils.t(stats1, stats2)); double p = TestUtils.tTest(stats1, stats2); t = Utils.formatNumber(t, 4); p = Utils.formatNumber(p, 4); dm.setValue(i, col, t); dm.setValue(i, col + 1, p); } } return dm; }
From source file:com.trickl.stats.GammaDistributionOutlier.java
@Override public IntPredicate apply(int[] edgeFlows) { // Calculate the distribution of flow across edges SummaryStatistics flowSummaryStatistics = new SummaryStatistics(); for (int flow : edgeFlows) { flowSummaryStatistics.addValue(flow); }/* w w w. ja v a 2 s . c o m*/ double flowVar = flowSummaryStatistics.getVariance(); double flowMean = flowSummaryStatistics.getMean(); double gammaShape = (flowMean * flowMean) / flowVar; double gammaScale = flowVar / flowMean; GammaDistribution gammaDistribution = new GammaDistribution(gammaShape, gammaScale); return new ValueAboveHasProbabilityBelow(gammaDistribution, probability); }
From source file:com.dattack.dbping.report.GroupStats.java
public GroupStats(final int group) { this.group = group; this.statistics = new SummaryStatistics(); }
From source file:com.qwazr.search.bench.test.TestResults.java
public void add(Object testClass, Integer rate) { statsMap.computeIfAbsent(testClass.getClass().getName(), (key) -> new SummaryStatistics()).addValue(rate); }
From source file:nars.util.meter.func.BasicStatistics.java
public void setWindowSize(int w) { stat = w == 0 ? new SummaryStatistics() : new DescriptiveStatistics(w); }
From source file:de.tudarmstadt.ukp.dkpro.core.performance.PerformanceTestUtil.java
public static SummaryStatistics measurePerformance(AnalysisEngineDescription aWriterDesc, Iterable<JCas> aTestData) throws ResourceInitializationException, AnalysisEngineProcessException { AnalysisEngine writer = createEngine(aWriterDesc); SummaryStatistics stats = new SummaryStatistics(); for (JCas jcas : aTestData) { long begin = System.currentTimeMillis(); writer.process(jcas);/*from www . j a va2s.com*/ stats.addValue(System.currentTimeMillis() - begin); } writer.collectionProcessComplete(); writer.destroy(); return stats; }
From source file:ijfx.plugins.MeanProjection.java
@Override public <T extends RealType<T>> void process(List<T> list, Sampler<T> sampler) { SummaryStatistics summaryStatistics = new SummaryStatistics(); list.stream().forEach((t) -> summaryStatistics.addValue(t.getRealDouble())); //Set result//from w w w . ja va 2 s. c o m sampler.get().setReal(summaryStatistics.getMean()); }
From source file:mop.MemoryLogger.java
MemoryLogger() {
if (STATS_LOGGING) {
memStats = new SummaryStatistics();
String outputPath = "logs/javamop-stats.log";
System.out.println("Logging activated. Output path: " + outputPath);
experimentName = getMandatorySystemProperty("prm4jeval.invocation") + " "
+ getMandatorySystemProperty("prm4jeval.benchmark") + " "
+ getMandatorySystemProperty("prm4jeval.paramProperty");
logger = getFileLogger(outputPath);
} else {//ww w. j av a 2 s .co m
System.out.println("Memory logging not activated.");
}
}