List of usage examples for org.apache.commons.math3.stat.descriptive DescriptiveStatistics DescriptiveStatistics
public DescriptiveStatistics(DescriptiveStatistics original) throws NullArgumentException
From source file:com.github.jessemull.microflex.stat.statbigdecimal.MinBigDecimalTest.java
/** * Tests the plate statistics method.//from www. j av a2 s . c o m */ @Test public void testPlate() { for (PlateBigDecimal plate : array) { Map<WellBigDecimal, BigDecimal> resultMap = new TreeMap<WellBigDecimal, BigDecimal>(); Map<WellBigDecimal, BigDecimal> returnedMap = min.plate(plate); for (WellBigDecimal well : plate) { double[] input = new double[well.size()]; int index = 0; for (BigDecimal bd : well) { input[index++] = bd.doubleValue(); } DescriptiveStatistics stat = new DescriptiveStatistics(input); double resultDouble = stat.getMin(); BigDecimal result = new BigDecimal(resultDouble); resultMap.put(well, result); } for (WellBigDecimal well : plate) { BigDecimal result = resultMap.get(well); BigDecimal returned = returnedMap.get(well); BigDecimal[] corrected = correctRoundingErrors(result, returned); assertEquals(corrected[0], corrected[1]); } } }
From source file:com.github.jessemull.microflex.stat.statinteger.PopulationVarianceIntegerWeightsTest.java
/** * Tests the plate statistics method./* w ww . j a v a 2 s . c o m*/ */ @Test public void testPlate() { for (PlateInteger plate : array) { Map<WellInteger, Double> resultMap = new TreeMap<WellInteger, Double>(); Map<WellInteger, Double> returnedMap = variance.plate(plate, weights); for (WellInteger well : plate) { double[] input = new double[well.size()]; int index = 0; for (double db : well) { input[index] = db * weights[index]; index++; } DescriptiveStatistics stat = new DescriptiveStatistics(input); double result = stat.getPopulationVariance(); resultMap.put(well, result); } for (WellInteger well : plate) { double result = Precision.round(resultMap.get(well), precision); double returned = Precision.round(returnedMap.get(well), precision); assertTrue(result == returned); } } }
From source file:com.github.jessemull.microflexbiginteger.stat.PopulationVarianceTest.java
/** * Tests the plate statistics method.//from w w w .j a va 2 s. c o m */ @Test public void testPlate() { for (Plate plate : array) { Map<Well, BigDecimal> resultMap = new TreeMap<Well, BigDecimal>(); Map<Well, BigDecimal> returnedMap = variance.plate(plate, mc); for (Well well : plate) { double[] input = new double[well.size()]; int index = 0; for (BigInteger bi : well) { input[index++] = bi.doubleValue(); } DescriptiveStatistics stat = new DescriptiveStatistics(input); double resultDouble = stat.getVariance(); resultDouble *= well.size() - 1; resultDouble /= well.size(); BigDecimal result = new BigDecimal(resultDouble); resultMap.put(well, result); } for (Well well : plate) { BigDecimal result = resultMap.get(well); BigDecimal returned = returnedMap.get(well); BigDecimal[] corrected = correctRoundingErrors(result, returned); assertEquals(corrected[0], corrected[1]); } } }
From source file:com.github.jessemull.microflexdouble.stat.NTest.java
/** * Tests the aggregated plate statistics method. *///from www . j ava 2 s.co m @Test public void testAggregatedPlate() { for (Plate plate : array) { List<Double> resultList = new ArrayList<Double>(); int aggregatedReturned = n.platesAggregated(plate); for (Well well : plate) { for (double db : well) { resultList.add(db); } } double[] inputAggregated = new double[resultList.size()]; for (int i = 0; i < resultList.size(); i++) { inputAggregated[i] = resultList.get(i); } DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated); double resultAggregated = statAggregated.getN(); assertEquals((int) resultAggregated, aggregatedReturned); } }
From source file:com.github.jessemull.microflexbiginteger.stat.MeanTest.java
/** * Tests the plate statistics method./*from w w w . j a v a2s .c o m*/ */ @Test public void testPlate() { for (Plate plate : array) { Map<Well, BigDecimal> resultMap = new TreeMap<Well, BigDecimal>(); Map<Well, BigDecimal> returnedMap = mean.plate(plate, mc); for (Well well : plate) { double[] input = new double[well.size()]; int index = 0; for (BigInteger bi : well) { input[index++] = bi.doubleValue(); } DescriptiveStatistics stat = new DescriptiveStatistics(input); double resultDouble = stat.getMean(); BigDecimal result = new BigDecimal(resultDouble, mc); resultMap.put(well, result); } for (Well well : plate) { BigDecimal result = resultMap.get(well); BigDecimal returned = returnedMap.get(well); BigDecimal[] corrected = correctRoundingErrors(result, returned); assertEquals(corrected[0], corrected[1]); } } }
From source file:com.github.jessemull.microflex.stat.statbigdecimal.SumBigDecimalTest.java
/** * Tests the plate statistics method.//from ww w. ja v a2s. c om */ @Test public void testPlate() { for (PlateBigDecimal plate : array) { Map<WellBigDecimal, BigDecimal> resultMap = new TreeMap<WellBigDecimal, BigDecimal>(); Map<WellBigDecimal, BigDecimal> returnedMap = sum.plate(plate, mc); for (WellBigDecimal well : plate) { double[] input = new double[well.size()]; int index = 0; for (BigDecimal bd : well) { input[index++] = bd.doubleValue(); } DescriptiveStatistics stat = new DescriptiveStatistics(input); double resultDouble = stat.getSum(); BigDecimal result = new BigDecimal(resultDouble); resultMap.put(well, result); } for (WellBigDecimal well : plate) { BigDecimal result = resultMap.get(well); BigDecimal returned = returnedMap.get(well); BigDecimal[] corrected = correctRoundingErrors(result, returned); assertEquals(corrected[0], corrected[1]); } } }
From source file:com.github.jessemull.microflexbiginteger.stat.PercentileTest.java
/** * Tests the plate statistics method./*w w w .ja v a 2 s . c o m*/ */ @Test public void testPlate() { for (Plate plate : array) { int inputPercentile = 1 + random.nextInt(100); Map<Well, BigDecimal> resultMap = new TreeMap<Well, BigDecimal>(); Map<Well, BigDecimal> returnedMap = percentile.plate(plate, inputPercentile); for (Well well : plate) { double[] input = new double[well.size()]; int index = 0; for (BigInteger bi : well) { input[index++] = bi.doubleValue(); } DescriptiveStatistics stat = new DescriptiveStatistics(input); double resultDouble = stat.getPercentile(inputPercentile); BigDecimal result = new BigDecimal(resultDouble); resultMap.put(well, result); } for (Well well : plate) { BigDecimal result = resultMap.get(well); BigDecimal returned = returnedMap.get(well); BigDecimal[] corrected = correctRoundingErrors(result, returned); assertEquals(corrected[0], corrected[1]); } } }
From source file:com.github.jessemull.microflex.stat.statbigdecimal.MeanBigDecimalTest.java
/** * Tests the plate statistics method./* w w w . j a va 2s . c o m*/ */ @Test public void testPlate() { for (PlateBigDecimal plate : array) { Map<WellBigDecimal, BigDecimal> resultMap = new TreeMap<WellBigDecimal, BigDecimal>(); Map<WellBigDecimal, BigDecimal> returnedMap = mean.plate(plate, mc); for (WellBigDecimal well : plate) { double[] input = new double[well.size()]; int index = 0; for (BigDecimal bd : well) { input[index++] = bd.doubleValue(); } DescriptiveStatistics stat = new DescriptiveStatistics(input); double resultDouble = stat.getMean(); BigDecimal result = new BigDecimal(resultDouble); resultMap.put(well, result); } for (WellBigDecimal well : plate) { BigDecimal result = resultMap.get(well); BigDecimal returned = returnedMap.get(well); BigDecimal[] corrected = correctRoundingErrors(result, returned); assertEquals(corrected[0], corrected[1]); } } }
From source file:com.teradata.benchto.driver.graphite.GraphiteMetricsLoader.java
private Optional<StatisticalSummary> getStats(Map<String, double[]> loadedMetrics, String metricName) { double[] metricValues = loadedMetrics.get(metricName); if (metricValues.length >= 2) { return Optional.of(new DescriptiveStatistics(metricValues)); } else if (metricValues.length == 1) { double value = metricValues[0]; return Optional.of(new StatisticalSummaryValues(value, 0, 1, value, value, value)); } else {//from w ww .j a va 2 s .c om return Optional.empty(); } }
From source file:kmi.taa.core.SmallSetAnalyser.java
public double std(HashMap<Integer, Double> map) { double[] va = new double[map.size()]; int i = 0;/*from ww w . j ava 2 s . c om*/ for (Integer k : map.keySet()) { va[i++] = map.get(k).doubleValue(); } DescriptiveStatistics ds = new DescriptiveStatistics(va); return ds.getStandardDeviation(); }