List of usage examples for org.apache.commons.math3.stat.descriptive DescriptiveStatistics getVariance
public double getVariance()
From source file:com.github.jessemull.microflex.stat.statbigdecimal.SampleVarianceBigDecimalWeightsTest.java
/** * Tests the plate statistics method./*from ww w . ja v a 2s. c o m*/ */ @Test public void testPlate() { for (PlateBigDecimal plate : array) { Map<WellBigDecimal, BigDecimal> resultMap = new TreeMap<WellBigDecimal, BigDecimal>(); Map<WellBigDecimal, BigDecimal> returnedMap = variance.plate(plate, weights, mc); for (WellBigDecimal well : plate) { double[] input = new double[well.size()]; int index = 0; for (BigDecimal bd : well) { input[index] = bd.doubleValue() * weights[index]; index++; } DescriptiveStatistics stat = new DescriptiveStatistics(input); double resultDouble = stat.getVariance(); BigDecimal result = new BigDecimal(resultDouble, mc); 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.statbiginteger.SampleVarianceBigIntegerWeightsTest.java
/** * Tests set calculation./*from ww w .j av a 2 s . c o m*/ */ @Test public void testSet() { for (PlateBigInteger plate : array) { Map<WellBigInteger, BigDecimal> resultMap = new TreeMap<WellBigInteger, BigDecimal>(); Map<WellBigInteger, BigDecimal> returnedMap = variance.set(plate.dataSet(), weights, mc); for (WellBigInteger well : plate) { double[] input = new double[well.size()]; int index = 0; for (BigInteger bi : well) { input[index] = bi.doubleValue() * weights[index]; index++; } DescriptiveStatistics stat = new DescriptiveStatistics(input); double resultDouble = stat.getVariance(); BigDecimal result = new BigDecimal(resultDouble, mc); resultMap.put(well, result); } for (WellBigInteger 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.microflexbigdecimal.stat.SampleVarianceWeightsTest.java
/** * Tests the plate statistics method.//from w w w . j a v a 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, weights, mc); for (Well well : plate) { double[] input = new double[well.size()]; int index = 0; for (BigDecimal bd : well) { input[index] = bd.doubleValue() * weights[index]; index++; } DescriptiveStatistics stat = new DescriptiveStatistics(input); double resultDouble = stat.getVariance(); 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.microflexbiginteger.stat.SampleVarianceWeightsTest.java
/** * Tests set calculation.//from w w w .ja va2 s.c o m */ @Test public void testSet() { for (Plate plate : array) { Map<Well, BigDecimal> resultMap = new TreeMap<Well, BigDecimal>(); Map<Well, BigDecimal> returnedMap = variance.set(plate.dataSet(), weights, mc); for (Well well : plate) { double[] input = new double[well.size()]; int index = 0; for (BigInteger bi : well) { input[index] = bi.doubleValue() * weights[index]; index++; } DescriptiveStatistics stat = new DescriptiveStatistics(input); double resultDouble = stat.getVariance(); 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.PopulationVarianceBigDecimalTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the array.//from w w w . j a va 2 s . 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<PlateBigDecimal, BigDecimal> aggregatedReturnedMap = variance.platesAggregated(arrayIndices, begin, end - begin, mc); Map<PlateBigDecimal, BigDecimal> aggregatedResultMap = new TreeMap<PlateBigDecimal, BigDecimal>(); for (PlateBigDecimal plate : arrayIndices) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (WellBigDecimal 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.getVariance(); resultAggregatedDouble *= resultList.size() - 1; resultAggregatedDouble /= resultList.size(); BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble); aggregatedResultMap.put(plate, aggregatedResult); } for (PlateBigDecimal 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.PopulationVarianceTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the array.// w ww . jav a 2s . c om */ @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 = variance.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.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.getVariance(); resultAggregatedDouble *= resultList.size() - 1; resultAggregatedDouble /= resultList.size(); 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.PopulationVarianceBigDecimalTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the collection.// w ww.j a va 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<PlateBigDecimal> collection = Arrays.asList(arrayIndices); Map<PlateBigDecimal, BigDecimal> aggregatedReturnedMap = variance.platesAggregated(collection, begin, end - begin, mc); Map<PlateBigDecimal, BigDecimal> aggregatedResultMap = new TreeMap<PlateBigDecimal, BigDecimal>(); for (PlateBigDecimal plate : collection) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (WellBigDecimal 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.getVariance(); resultAggregatedDouble *= resultList.size() - 1; resultAggregatedDouble /= resultList.size(); BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble); aggregatedResultMap.put(plate, aggregatedResult); } for (PlateBigDecimal 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.statbigdecimal.PopulationVarianceBigDecimalTest.java
/** * Tests the aggregated plate statistics method using a collection. */// www. java 2s. c o m @Test public void testAggregatedSetCollection() { List<WellSetBigDecimal> collection = new ArrayList<WellSetBigDecimal>(); for (PlateBigDecimal plate : array) { collection.add(plate.dataSet()); } Map<WellSetBigDecimal, BigDecimal> aggregatedReturnedMap = variance.setsAggregated(collection, mc); Map<WellSetBigDecimal, BigDecimal> aggregatedResultMap = new TreeMap<WellSetBigDecimal, BigDecimal>(); for (WellSetBigDecimal set : collection) { 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.getVariance(); resultAggregatedDouble *= resultList.size() - 1; resultAggregatedDouble /= resultList.size(); BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble); aggregatedResultMap.put(set, aggregatedResult); } for (WellSetBigDecimal 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.statbigdecimal.SampleVarianceBigDecimalWeightsTest.java
/** * Tests set calculation.//from w w w . ja v a 2 s. c om */ @Test public void testSet() { for (PlateBigDecimal plate : array) { Map<WellBigDecimal, BigDecimal> resultMap = new TreeMap<WellBigDecimal, BigDecimal>(); Map<WellBigDecimal, BigDecimal> returnedMap = variance.set(plate.dataSet(), weights, mc); for (WellBigDecimal well : plate) { double[] input = new double[well.size()]; int index = 0; for (BigDecimal bd : well) { input[index] = bd.doubleValue() * weights[index]; index++; } DescriptiveStatistics stat = new DescriptiveStatistics(input); double resultDouble = stat.getVariance(); BigDecimal result = new BigDecimal(resultDouble, mc); 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.microflexbigdecimal.stat.PopulationVarianceTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the collection.//from ww w. jav a 2 s . 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<Plate> collection = Arrays.asList(arrayIndices); Map<Plate, BigDecimal> aggregatedReturnedMap = variance.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.getVariance(); resultAggregatedDouble *= resultList.size() - 1; resultAggregatedDouble /= resultList.size(); 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]); } }