List of usage examples for org.apache.commons.math3.stat.descriptive DescriptiveStatistics addValue
public void addValue(double v)
From source file:com.fpuna.preproceso.TestApacheMathLibDemo.java
/** * @param args//from www .j a va2 s. c om */ public static void main(String[] args) { RandomGenerator randomGenerator = new JDKRandomGenerator(); System.out.println(randomGenerator.nextInt()); System.out.println(randomGenerator.nextDouble()); /** * Descriptive Statistics like MEAN,GP,SD,MAX * */ DescriptiveStatistics stats = new DescriptiveStatistics(); stats.addValue(1); stats.addValue(2); stats.addValue(3); stats.addValue(4); stats.addValue(5); stats.addValue(6); stats.addValue(7); System.out.print("Mean : " + stats.getMean() + "\n"); System.out.print("Standard deviation : " + stats.getStandardDeviation() + "\n"); System.out.print("Max : " + stats.getMax() + "\n"); /** * Complex number format a+bi * */ Complex c1 = new Complex(1, 2); Complex c2 = new Complex(2, 3); System.out.print("Absolute of c1 " + c1.abs() + "\n"); System.out.print("Addition : " + (c1.add(c2)) + "\n"); }
From source file:es.upm.oeg.tools.rdfshapes.libdemo.CommonsMathDemo.java
public static void main(String[] args) { DescriptiveStatistics stats = new DescriptiveStatistics(); int inputArray[] = { 3, 4, 5, 6, 2, 3, 4, 3, 3, 4, 3, 6, 3, 2, 3, 1, 2, 1, 1, 1, 3 }; // Add the data from the array for (int i = 0; i < inputArray.length; i++) { stats.addValue(inputArray[i]); }/*from w w w.j av a2 s. c om*/ double mean = stats.getMean(); double std = stats.getStandardDeviation(); double median = stats.getPercentile(50); System.out.println("mean" + stats.getMean()); System.out.println("standard deviation" + stats.getStandardDeviation()); System.out.println("skewness" + stats.getSkewness()); }
From source file:knop.psfj.utils.MathUtils.java
/** * The main method./*from ww w . j ava 2 s . c om*/ * * @param args the arguments */ public static void main(String[] args) { System.out.println(MathUtils.round(1.44)); System.out.println(MathUtils.round(1.49999)); System.out.println(MathUtils.formatDouble(0.1, "um")); System.out.println(MathUtils.formatDouble(0.0034553, MICROMETERS)); System.out.println(MathUtils.formatDouble(0.033454, MICROMETERS)); System.out.println(MathUtils.formatDouble(0.31123, MICROMETERS)); System.out.println(MathUtils.formatDouble(3.1123, MICROMETERS)); System.out.println(MathUtils.formatDouble(30.05, MICROMETERS)); System.out.println(MathUtils.formatDouble(300.404, MICROMETERS)); System.out.println(MathUtils.formatDouble(17.0, MICROMETERS, 1)); DescriptiveStatistics stats = new DescriptiveStatistics(); for (int i = 0; i != 100; i++) { stats.addValue(100 + 1.0 * i / 12); } System.out.println(stats); System.out.println(MathUtils.formatStatistics(stats, DEGREES)); System.out.println(MathUtils.getNumberAfterDot("12.534 nm")); System.out.println(MathUtils.getNumberAfterDot("12.53")); System.out.println(MathUtils.getNumberAfterDot("12 nm")); System.out.println(MathUtils.getNumberAfterDot("12.34 nm")); }
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 w w w. j ava 2s. co 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:fr.inria.eventcloud.benchmarks.QuadrupleStatsEvaluator.java
public static void main(String[] args) throws FileNotFoundException { final DescriptiveStatistics g = new DescriptiveStatistics(); final DescriptiveStatistics s = new DescriptiveStatistics(); final DescriptiveStatistics p = new DescriptiveStatistics(); final DescriptiveStatistics o = new DescriptiveStatistics(); RDFDataMgr.parse(new StreamRDF() { @Override/*from www .jav a 2 s. c o m*/ public void triple(Triple triple) { } @Override public void start() { } @Override public void quad(Quad quad) { g.addValue(SemanticCoordinate.applyDopingFunction(quad.getGraph()) // quad.getGraph().toString() .length()); s.addValue(SemanticCoordinate.applyDopingFunction(quad.getSubject()) // quad.getSubject().toString() .length()); p.addValue(SemanticCoordinate.applyDopingFunction(quad.getPredicate()) // quad.getPredicate().toString() .length()); o.addValue(SemanticCoordinate.applyDopingFunction(quad.getObject()) // quad.getObject().toString() .length()); } @Override public void prefix(String prefix, String iri) { } @Override public void finish() { } @Override public void base(String base) { } }, new FileInputStream(args[0]), Lang.TRIG); double percentage = 0.99; System.out.println("g --> " + g.getPercentile(percentage)); System.out.println("s --> " + s.getPercentile(percentage)); System.out.println("p --> " + p.getPercentile(percentage)); System.out.println("o --> " + o.getPercentile(percentage)); }
From source file:cc.redberry.core.performance.StableSort.java
/** * @param args the command line arguments *//* w w w. j a va2s. c o m*/ public static void main(String[] args) { try { //burn JVM BitsStreamGenerator bitsStreamGenerator = new Well19937c(); for (int i = 0; i < 1000; ++i) nextArray(1000, bitsStreamGenerator); System.out.println("!"); BufferedWriter timMeanOut = new BufferedWriter( new FileWriter("/home/stas/Projects/stableSort/timMean.dat")); BufferedWriter insertionMeanOut = new BufferedWriter( new FileWriter("/home/stas/Projects/stableSort/insertionMean.dat")); BufferedWriter timMaxOut = new BufferedWriter( new FileWriter("/home/stas/Projects/stableSort/timMax.dat")); BufferedWriter insertionMaxOut = new BufferedWriter( new FileWriter("/home/stas/Projects/stableSort/insertionMax.dat")); BufferedWriter timSigOut = new BufferedWriter( new FileWriter("/home/stas/Projects/stableSort/timSig.dat")); BufferedWriter insertionSigOut = new BufferedWriter( new FileWriter("/home/stas/Projects/stableSort/insertionSig.dat")); DescriptiveStatistics timSort; DescriptiveStatistics insertionSort; int tryies = 200; int arrayLength = 0; for (; arrayLength < 1000; ++arrayLength) { int[] coSort = nextArray(arrayLength, bitsStreamGenerator); timSort = new DescriptiveStatistics(); insertionSort = new DescriptiveStatistics(); for (int i = 0; i < tryies; ++i) { int[] t1 = nextArray(arrayLength, bitsStreamGenerator); int[] t2 = t1.clone(); long start = System.currentTimeMillis(); ArraysUtils.timSort(t1, coSort); long stop = System.currentTimeMillis(); timSort.addValue(stop - start); start = System.currentTimeMillis(); ArraysUtils.insertionSort(t2, coSort); stop = System.currentTimeMillis(); insertionSort.addValue(stop - start); } timMeanOut.write(arrayLength + "\t" + timSort.getMean() + "\n"); insertionMeanOut.write(arrayLength + "\t" + insertionSort.getMean() + "\n"); timMaxOut.write(arrayLength + "\t" + timSort.getMax() + "\n"); insertionMaxOut.write(arrayLength + "\t" + insertionSort.getMax() + "\n"); timSigOut.write(arrayLength + "\t" + timSort.getStandardDeviation() + "\n"); insertionSigOut.write(arrayLength + "\t" + insertionSort.getStandardDeviation() + "\n"); } timMeanOut.close(); insertionMeanOut.close(); timMaxOut.close(); insertionMaxOut.close(); timSigOut.close(); insertionSigOut.close(); } catch (IOException ex) { Logger.getLogger(StableSort.class.getName()).log(Level.SEVERE, null, ex); } }
From source file:mase.deprecated.FastMathTest.java
public static void main(String[] args) { double MIN = -10; double MAX = 10; int N = 10000; DescriptiveStatistics diff = new DescriptiveStatistics(); DescriptiveStatistics diffJava = new DescriptiveStatistics(); long tFast = 0, tNormal = 0, tBounded = 0, tJava = 0; for (int i = 0; i < N; i++) { double x = Math.random() * (MAX - MIN) + MIN; long t = System.nanoTime(); double v1 = (1.0 / (1.0 + FastMath.expQuick(-1 * x))); tFast += System.nanoTime() - t; t = System.nanoTime();/* w ww.ja v a 2 s . co m*/ double v2 = (1.0 / (1.0 + FastMath.exp(-1 * x))); tNormal += System.nanoTime() - t; t = System.nanoTime(); double v3 = (1.0 / (1.0 + BoundMath.exp(-1 * x))); tBounded += System.nanoTime() - t; t = System.nanoTime(); double v4 = (1.0 / (1.0 + Math.exp(-1 * x))); tJava += System.nanoTime() - t; diff.addValue(Math.abs(v1 - v2)); diffJava.addValue(Math.abs(v3 - v1)); } System.out.println("MAX: " + diff.getMax()); System.out.println("MEAN: " + diff.getMean()); System.out.println("MAX JAVA: " + diffJava.getMax()); System.out.println("MEAN JAVA: " + diffJava.getMean()); System.out.println("Fast: " + tFast); System.out.println("Normal: " + tNormal); System.out.println("Bounded: " + tBounded); System.out.println("Java: " + tJava); }
From source file:cc.redberry.core.performance.ProductBijectionPerformanceTest.java
public static void main(String[] args) { int badCounter = 0; // CC.resetTensorNames(-3912578993076521674L); RandomTensor rp = new RandomTensor(4, 10, new int[] { 4, 0, 0, 0 }, new int[] { 10, 0, 0, 0 }, false); rp.reset(-3806751651286565680L);//from w w w.j a va2s . com System.out.println("Random Seed = " + rp.getSeed()); System.out.println("NM Seed = " + CC.getNameManager().getSeed()); DescriptiveStatistics timeStats = new DescriptiveStatistics(); DescriptiveStatistics trysStats = new DescriptiveStatistics(); int count = 0; while (++count < 500) { // CC.resetTensorNames(); Tensor t = rp.nextProduct(15); if (!(t instanceof Product)) continue; Product from = (Product) t; long start = System.nanoTime(); ProductsBijectionsPort port = new ProductsBijectionsPort(from.getContent(), from.getContent()); int[] bijection; boolean good = false; int trys = 0; OUTER: while (trys++ < 5000 && (bijection = port.take()) != null) { for (int i = 0; i < bijection.length; ++i) if (bijection[i] != i) continue OUTER; good = true; break; } double millis = 1E-6 * (System.nanoTime() - start); timeStats.addValue(millis); trysStats.addValue(trys); if (!good) throw new RuntimeException(); } System.out.println(timeStats); System.out.println(trysStats); }
From source file:com.weibo.motan.demo.client.DemoRpcClient.java
public static void main(String[] args) throws Exception { final DescriptiveStatistics stats = new SynchronizedDescriptiveStatistics(); int threads = Integer.parseInt(args[0]); DubboBenchmark.BenchmarkMessage msg = prepareArgs(); final byte[] msgBytes = msg.toByteArray(); int n = 1000000; final CountDownLatch latch = new CountDownLatch(n); ExecutorService es = Executors.newFixedThreadPool(threads); final AtomicInteger trans = new AtomicInteger(0); final AtomicInteger transOK = new AtomicInteger(0); ApplicationContext ctx = new ClassPathXmlApplicationContext( new String[] { "classpath:motan_demo_client.xml" }); MotanDemoService service = (MotanDemoService) ctx.getBean("motanDemoReferer"); long start = System.currentTimeMillis(); for (int i = 0; i < n; i++) { es.submit(() -> {/*from www . j a v a2 s . com*/ try { long t = System.currentTimeMillis(); DubboBenchmark.BenchmarkMessage m = testSay(service, msgBytes); t = System.currentTimeMillis() - t; stats.addValue(t); trans.incrementAndGet(); if (m != null && m.getField1().equals("OK")) { transOK.incrementAndGet(); } } finally { latch.countDown(); } }); } latch.await(); start = System.currentTimeMillis() - start; System.out.printf("sent requests : %d\n", n); System.out.printf("received requests : %d\n", trans.get()); System.out.printf("received requests_OK : %d\n", transOK.get()); System.out.printf("throughput (TPS) : %d\n", n * 1000 / start); System.out.printf("mean: %f\n", stats.getMean()); System.out.printf("median: %f\n", stats.getPercentile(50)); System.out.printf("max: %f\n", stats.getMax()); System.out.printf("min: %f\n", stats.getMin()); System.out.printf("99P: %f\n", stats.getPercentile(90)); }
From source file:de.tudarmstadt.ukp.experiments.argumentation.convincingness.sampling.Step5bGoldLabelStatistics.java
@SuppressWarnings("unchecked") public static void main(String[] args) throws Exception { String inputDir = args[0];//www . ja v a 2 s .c o m Collection<File> files = IOHelper.listXmlFiles(new File(inputDir)); int totalPairsWithReasonSameAsGold = 0; DescriptiveStatistics ds = new DescriptiveStatistics(); DescriptiveStatistics statsPerTopic = new DescriptiveStatistics(); Map<String, Integer> goldDataDistribution = new HashMap<>(); int totalGoldReasonTokens = 0; for (File file : files) { List<AnnotatedArgumentPair> argumentPairs = (List<AnnotatedArgumentPair>) XStreamTools.getXStream() .fromXML(file); int pairsPerTopicCounter = 0; for (AnnotatedArgumentPair annotatedArgumentPair : argumentPairs) { String goldLabel = annotatedArgumentPair.getGoldLabel(); int sameInOnePair = 0; if (goldLabel != null) { if (!goldDataDistribution.containsKey(goldLabel)) { goldDataDistribution.put(goldLabel, 0); } goldDataDistribution.put(goldLabel, goldDataDistribution.get(goldLabel) + 1); // get gold reason statistics for (AnnotatedArgumentPair.MTurkAssignment assignment : annotatedArgumentPair.mTurkAssignments) { String label = assignment.getValue(); if (goldLabel.equals(label)) { sameInOnePair++; totalGoldReasonTokens += assignment.getReason().split("\\W+").length; } } pairsPerTopicCounter++; } ds.addValue(sameInOnePair); totalPairsWithReasonSameAsGold += sameInOnePair; } statsPerTopic.addValue(pairsPerTopicCounter); } System.out.println("Total reasons matching gold " + totalPairsWithReasonSameAsGold); System.out.println(ds); int totalPairs = 0; for (Integer pairs : goldDataDistribution.values()) { totalPairs += pairs; } System.out.println(goldDataDistribution); System.out.println(goldDataDistribution.values()); System.out.println("Total pairs: " + totalPairs); System.out.println("Stats per topic: " + statsPerTopic); System.out.println("Total gold reason tokens: " + totalGoldReasonTokens); }