List of usage examples for org.apache.commons.math3.stat.descriptive DescriptiveStatistics getKurtosis
public double getKurtosis()
From source file:com.github.jessemull.microflexbigdecimal.stat.KurtosisTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the collection.//from ww w. j a v a 2 s . co m */ @Test public void testAggregatedPlateCollectionIndices() { int size = arrayIndices[0].first().size(); int begin = random.nextInt(size - 5); int end = (begin + 4) + random.nextInt(size - (begin + 4) + 1); List<Plate> collection = Arrays.asList(arrayIndices); Map<Plate, BigDecimal> aggregatedReturnedMap = kurtosis.platesAggregated(collection, begin, end - begin, mc); Map<Plate, BigDecimal> aggregatedResultMap = new TreeMap<Plate, BigDecimal>(); for (Plate plate : collection) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (Well well : plate) { resultList.addAll(well.data().subList(begin, end)); } double[] inputAggregated = new double[resultList.size()]; for (int i = 0; i < resultList.size(); i++) { inputAggregated[i] = resultList.get(i).doubleValue(); } DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated); double resultAggregatedDouble = statAggregated.getKurtosis(); BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble); aggregatedResultMap.put(plate, aggregatedResult); } for (Plate plate : collection) { BigDecimal result = aggregatedResultMap.get(plate); BigDecimal returned = aggregatedReturnedMap.get(plate); BigDecimal[] corrected = correctRoundingErrors(result, returned); assertEquals(corrected[0], corrected[1]); } }
From source file:com.github.jessemull.microflexbigdecimal.stat.KurtosisTest.java
/** * Tests the aggregated plate statistics method using a collection. *//*from w w w. j av a2 s .c o m*/ @Test public void testAggregatedSetCollection() { List<WellSet> collection = new ArrayList<WellSet>(); for (Plate plate : array) { collection.add(plate.dataSet()); } Map<WellSet, BigDecimal> aggregatedReturnedMap = kurtosis.setsAggregated(collection, mc); Map<WellSet, BigDecimal> aggregatedResultMap = new TreeMap<WellSet, BigDecimal>(); for (WellSet set : collection) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (Well well : set) { resultList.addAll(well.data()); } double[] inputAggregated = new double[resultList.size()]; for (int i = 0; i < resultList.size(); i++) { inputAggregated[i] = resultList.get(i).doubleValue(); } DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated); double resultAggregatedDouble = statAggregated.getKurtosis(); BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble); aggregatedResultMap.put(set, aggregatedResult); } for (WellSet set : collection) { BigDecimal result = aggregatedResultMap.get(set); BigDecimal returned = aggregatedReturnedMap.get(set); BigDecimal[] corrected = correctRoundingErrors(result, returned); assertEquals(corrected[0], corrected[1]); } }
From source file:com.github.jessemull.microflexbiginteger.stat.KurtosisTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the array.// www. java2s. c o m */ @Test public void testAggregatedPlateArrayIndices() { int size = arrayIndices[0].first().size(); int begin = random.nextInt(size - 5); int end = (begin + 4) + random.nextInt(size - (begin + 4) + 1); Map<Plate, BigDecimal> aggregatedReturnedMap = kurtosis.platesAggregated(arrayIndices, begin, end - begin, mc); Map<Plate, BigDecimal> aggregatedResultMap = new TreeMap<Plate, BigDecimal>(); for (Plate plate : arrayIndices) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (Well well : plate) { resultList.addAll(well.toBigDecimal().subList(begin, end)); } double[] inputAggregated = new double[resultList.size()]; for (int i = 0; i < resultList.size(); i++) { inputAggregated[i] = resultList.get(i).doubleValue(); } DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated); double resultAggregatedDouble = statAggregated.getKurtosis(); BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble); aggregatedResultMap.put(plate, aggregatedResult); } for (Plate plate : arrayIndices) { BigDecimal result = aggregatedResultMap.get(plate); BigDecimal returned = aggregatedReturnedMap.get(plate); BigDecimal[] corrected = correctRoundingErrors(result, returned); assertEquals(corrected[0], corrected[1]); } }
From source file:com.github.jessemull.microflex.stat.statbigdecimal.KurtosisBigDecimalTest.java
/** * Tests the aggregated plate statistics method using an array. */// w w w . j a v a 2 s. c o m @Test public void testAggregatedSetArray() { WellSetBigDecimal[] setArray = new WellSetBigDecimal[array.length]; for (int i = 0; i < setArray.length; i++) { setArray[i] = array[i].dataSet(); } Map<WellSetBigDecimal, BigDecimal> aggregatedReturnedMap = kurtosis.setsAggregated(setArray, mc); Map<WellSetBigDecimal, BigDecimal> aggregatedResultMap = new TreeMap<WellSetBigDecimal, BigDecimal>(); for (WellSetBigDecimal set : setArray) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (WellBigDecimal well : set) { resultList.addAll(well.data()); } double[] inputAggregated = new double[resultList.size()]; for (int i = 0; i < resultList.size(); i++) { inputAggregated[i] = resultList.get(i).doubleValue(); } DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated); double resultAggregatedDouble = statAggregated.getKurtosis(); BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble); aggregatedResultMap.put(set, aggregatedResult); } for (WellSetBigDecimal set : setArray) { BigDecimal result = aggregatedResultMap.get(set); BigDecimal returned = aggregatedReturnedMap.get(set); BigDecimal[] corrected = correctRoundingErrors(result, returned); assertEquals(corrected[0], corrected[1]); } }
From source file:com.github.jessemull.microflex.stat.statbiginteger.KurtosisBigIntegerTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the array.// w ww . j ava2 s . co m */ @Test public void testAggregatedPlateArrayIndices() { int size = arrayIndices[0].first().size(); int begin = random.nextInt(size - 5); int end = (begin + 4) + random.nextInt(size - (begin + 4) + 1); Map<PlateBigInteger, BigDecimal> aggregatedReturnedMap = kurtosis.platesAggregated(arrayIndices, begin, end - begin, mc); Map<PlateBigInteger, BigDecimal> aggregatedResultMap = new TreeMap<PlateBigInteger, BigDecimal>(); for (PlateBigInteger plate : arrayIndices) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (WellBigInteger well : plate) { resultList.addAll(well.toBigDecimal().subList(begin, end)); } double[] inputAggregated = new double[resultList.size()]; for (int i = 0; i < resultList.size(); i++) { inputAggregated[i] = resultList.get(i).doubleValue(); } DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated); double resultAggregatedDouble = statAggregated.getKurtosis(); BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble); aggregatedResultMap.put(plate, aggregatedResult); } for (PlateBigInteger plate : arrayIndices) { BigDecimal result = aggregatedResultMap.get(plate); BigDecimal returned = aggregatedReturnedMap.get(plate); BigDecimal[] corrected = correctRoundingErrors(result, returned); assertEquals(corrected[0], corrected[1]); } }
From source file:com.github.jessemull.microflexbigdecimal.stat.KurtosisTest.java
/** * Tests the aggregated plate statistics method using an array. *///from w w w . j a v a2s. co m @Test public void testAggregatedSetArray() { WellSet[] setArray = new WellSet[array.length]; for (int i = 0; i < setArray.length; i++) { setArray[i] = array[i].dataSet(); } Map<WellSet, BigDecimal> aggregatedReturnedMap = kurtosis.setsAggregated(setArray, mc); Map<WellSet, BigDecimal> aggregatedResultMap = new TreeMap<WellSet, BigDecimal>(); for (WellSet set : setArray) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (Well well : set) { resultList.addAll(well.data()); } double[] inputAggregated = new double[resultList.size()]; for (int i = 0; i < resultList.size(); i++) { inputAggregated[i] = resultList.get(i).doubleValue(); } DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated); double resultAggregatedDouble = statAggregated.getKurtosis(); BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble); aggregatedResultMap.put(set, aggregatedResult); } for (WellSet set : setArray) { BigDecimal result = aggregatedResultMap.get(set); BigDecimal returned = aggregatedReturnedMap.get(set); BigDecimal[] corrected = correctRoundingErrors(result, returned); assertEquals(corrected[0], corrected[1]); } }
From source file:com.github.jessemull.microflexbiginteger.stat.KurtosisTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the collection./*from w w w .ja v a 2s.co m*/ */ @Test public void testAggregatedPlateCollectionIndices() { int size = arrayIndices[0].first().size(); int begin = random.nextInt(size - 5); int end = (begin + 4) + random.nextInt(size - (begin + 4) + 1); List<Plate> collection = Arrays.asList(arrayIndices); Map<Plate, BigDecimal> aggregatedReturnedMap = kurtosis.platesAggregated(collection, begin, end - begin, mc); Map<Plate, BigDecimal> aggregatedResultMap = new TreeMap<Plate, BigDecimal>(); for (Plate plate : collection) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (Well well : plate) { resultList.addAll(well.toBigDecimal().subList(begin, end)); } double[] inputAggregated = new double[resultList.size()]; for (int i = 0; i < resultList.size(); i++) { inputAggregated[i] = resultList.get(i).doubleValue(); } DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated); double resultAggregatedDouble = statAggregated.getKurtosis(); BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble); aggregatedResultMap.put(plate, aggregatedResult); } for (Plate plate : collection) { BigDecimal result = aggregatedResultMap.get(plate); BigDecimal returned = aggregatedReturnedMap.get(plate); BigDecimal[] corrected = correctRoundingErrors(result, returned); assertEquals(corrected[0], corrected[1]); } }
From source file:com.github.jessemull.microflexbiginteger.stat.KurtosisTest.java
/** * Tests the aggregated plate statistics method using a collection. *//*from w ww.j a v a 2s . c o m*/ @Test public void testAggregatedSetCollection() { List<WellSet> collection = new ArrayList<WellSet>(); for (Plate plate : array) { collection.add(plate.dataSet()); } Map<WellSet, BigDecimal> aggregatedReturnedMap = kurtosis.setsAggregated(collection, mc); Map<WellSet, BigDecimal> aggregatedResultMap = new TreeMap<WellSet, BigDecimal>(); for (WellSet set : collection) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (Well well : set) { resultList.addAll(well.toBigDecimal()); } double[] inputAggregated = new double[resultList.size()]; for (int i = 0; i < resultList.size(); i++) { inputAggregated[i] = resultList.get(i).doubleValue(); } DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated); double resultAggregatedDouble = statAggregated.getKurtosis(); BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble); aggregatedResultMap.put(set, aggregatedResult); } for (WellSet set : collection) { BigDecimal result = aggregatedResultMap.get(set); BigDecimal returned = aggregatedReturnedMap.get(set); BigDecimal[] corrected = correctRoundingErrors(result, returned); assertEquals(corrected[0], corrected[1]); } }
From source file:com.github.jessemull.microflex.stat.statbiginteger.KurtosisBigIntegerTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the collection./* w ww . j a v a 2s . c o m*/ */ @Test public void testAggregatedPlateCollectionIndices() { int size = arrayIndices[0].first().size(); int begin = random.nextInt(size - 5); int end = (begin + 4) + random.nextInt(size - (begin + 4) + 1); List<PlateBigInteger> collection = Arrays.asList(arrayIndices); Map<PlateBigInteger, BigDecimal> aggregatedReturnedMap = kurtosis.platesAggregated(collection, begin, end - begin, mc); Map<PlateBigInteger, BigDecimal> aggregatedResultMap = new TreeMap<PlateBigInteger, BigDecimal>(); for (PlateBigInteger plate : collection) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (WellBigInteger well : plate) { resultList.addAll(well.toBigDecimal().subList(begin, end)); } double[] inputAggregated = new double[resultList.size()]; for (int i = 0; i < resultList.size(); i++) { inputAggregated[i] = resultList.get(i).doubleValue(); } DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated); double resultAggregatedDouble = statAggregated.getKurtosis(); BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble); aggregatedResultMap.put(plate, aggregatedResult); } for (PlateBigInteger plate : collection) { BigDecimal result = aggregatedResultMap.get(plate); BigDecimal returned = aggregatedReturnedMap.get(plate); BigDecimal[] corrected = correctRoundingErrors(result, returned); assertEquals(corrected[0], corrected[1]); } }
From source file:com.github.jessemull.microflex.stat.statbiginteger.KurtosisBigIntegerTest.java
/** * Tests the aggregated plate statistics method using a collection. *//*from w ww . j av a 2 s. c o m*/ @Test public void testAggregatedSetCollection() { List<WellSetBigInteger> collection = new ArrayList<WellSetBigInteger>(); for (PlateBigInteger plate : array) { collection.add(plate.dataSet()); } Map<WellSetBigInteger, BigDecimal> aggregatedReturnedMap = kurtosis.setsAggregated(collection, mc); Map<WellSetBigInteger, BigDecimal> aggregatedResultMap = new TreeMap<WellSetBigInteger, BigDecimal>(); for (WellSetBigInteger set : collection) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (WellBigInteger well : set) { resultList.addAll(well.toBigDecimal()); } double[] inputAggregated = new double[resultList.size()]; for (int i = 0; i < resultList.size(); i++) { inputAggregated[i] = resultList.get(i).doubleValue(); } DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated); double resultAggregatedDouble = statAggregated.getKurtosis(); BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble); aggregatedResultMap.put(set, aggregatedResult); } for (WellSetBigInteger set : collection) { BigDecimal result = aggregatedResultMap.get(set); BigDecimal returned = aggregatedReturnedMap.get(set); BigDecimal[] corrected = correctRoundingErrors(result, returned); assertEquals(corrected[0], corrected[1]); } }