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.PopulationVarianceBigDecimalWeightsTest.java
/** * Tests the aggregated plate statistics method using the values between the indices. *///from w w w .ja va 2s . c om @Test public void testAggregatedPlateIndices() { for (PlateBigDecimal plate : arrayIndices) { int begin = random.nextInt(plate.first().size() - 4); int end = begin + random.nextInt(3) + 3; List<BigDecimal> resultList = new ArrayList<BigDecimal>(); BigDecimal aggregatedReturned = variance.platesAggregated(plate, weightsIndices, begin, end - begin, mc); for (WellBigDecimal well : plate) { List<BigDecimal> input = well.data().subList(begin, end); for (int i = 0; i < input.size(); i++) { resultList.add(input.get(i).multiply(new BigDecimal(weightsIndices[i]))); } } 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, mc); BigDecimal[] corrected = correctRoundingErrors(aggregatedResult, aggregatedReturned); assertEquals(corrected[0], corrected[1]); } }
From source file:com.github.jessemull.microflex.stat.statbigdecimal.PopulationVarianceBigDecimalWeightsTest.java
/** * Tests the aggregated plate statistics method using the values between the indices. *//*from www.java 2 s . c om*/ @Test public void testAggregatedSetIndices() { for (PlateBigDecimal plate : arrayIndices) { int begin = random.nextInt(plate.first().size() - 4); int end = begin + random.nextInt(3) + 3; List<BigDecimal> resultList = new ArrayList<BigDecimal>(); BigDecimal aggregatedReturned = variance.setsAggregated(plate.dataSet(), weightsIndices, begin, end - begin, mc); for (WellBigDecimal well : plate) { List<BigDecimal> input = well.data().subList(begin, end); for (int i = 0; i < input.size(); i++) { resultList.add(input.get(i).multiply(new BigDecimal(weightsIndices[i]))); } } 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, mc); BigDecimal[] corrected = correctRoundingErrors(aggregatedResult, aggregatedReturned); assertEquals(corrected[0], corrected[1]); } }
From source file:com.github.jessemull.microflexbigdecimal.stat.PopulationVarianceWeightsTest.java
/** * Tests the aggregated plate statistics method using the values between the indices. */// ww w . j a v a2 s .c o m @Test public void testAggregatedPlateIndices() { for (Plate plate : arrayIndices) { int begin = random.nextInt(plate.first().size() - 4); int end = begin + random.nextInt(3) + 3; List<BigDecimal> resultList = new ArrayList<BigDecimal>(); BigDecimal aggregatedReturned = variance.platesAggregated(plate, weightsIndices, begin, end - begin, mc); for (Well well : plate) { List<BigDecimal> input = well.data().subList(begin, end); for (int i = 0; i < input.size(); i++) { resultList.add(input.get(i).multiply(new BigDecimal(weightsIndices[i]))); } } 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, mc); BigDecimal[] corrected = correctRoundingErrors(aggregatedResult, aggregatedReturned); assertEquals(corrected[0], corrected[1]); } }
From source file:com.github.jessemull.microflexbigdecimal.stat.PopulationVarianceWeightsTest.java
/** * Tests the aggregated plate statistics method using the values between the indices. *///from w w w . ja v a 2 s .c o m @Test public void testAggregatedSetIndices() { for (Plate plate : arrayIndices) { int begin = random.nextInt(plate.first().size() - 4); int end = begin + random.nextInt(3) + 3; List<BigDecimal> resultList = new ArrayList<BigDecimal>(); BigDecimal aggregatedReturned = variance.setsAggregated(plate.dataSet(), weightsIndices, begin, end - begin, mc); for (Well well : plate) { List<BigDecimal> input = well.data().subList(begin, end); for (int i = 0; i < input.size(); i++) { resultList.add(input.get(i).multiply(new BigDecimal(weightsIndices[i]))); } } 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, mc); BigDecimal[] corrected = correctRoundingErrors(aggregatedResult, aggregatedReturned); assertEquals(corrected[0], corrected[1]); } }
From source file:com.github.jessemull.microflex.stat.statbiginteger.PopulationVarianceBigIntegerWeightsTest.java
/** * Tests the aggregated plate statistics method using an array. */// w w w . j a v a2 s. com @Test public void testAggregatedPlateArray() { Map<PlateBigInteger, BigDecimal> aggregatedReturnedMap = variance.platesAggregated(array, weights, mc); Map<PlateBigInteger, BigDecimal> aggregatedResultMap = new TreeMap<PlateBigInteger, BigDecimal>(); for (PlateBigInteger plate : array) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (WellBigInteger well : plate) { List<BigDecimal> input = well.toBigDecimal(); for (int i = 0; i < input.size(); i++) { resultList.add(input.get(i).multiply(new BigDecimal(weights[i]))); } } 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, mc); aggregatedResultMap.put(plate, aggregatedResult); } for (PlateBigInteger plate : array) { 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.PopulationVarianceWeightsTest.java
/** * Tests the aggregated plate statistics method using an array. *///from w w w . j a v a2s. c o m @Test public void testAggregatedPlateArray() { Map<Plate, BigDecimal> aggregatedReturnedMap = variance.platesAggregated(array, weights, mc); Map<Plate, BigDecimal> aggregatedResultMap = new TreeMap<Plate, BigDecimal>(); for (Plate plate : array) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (Well well : plate) { List<BigDecimal> input = well.toBigDecimal(); for (int i = 0; i < input.size(); i++) { resultList.add(input.get(i).multiply(new BigDecimal(weights[i]))); } } 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, mc); aggregatedResultMap.put(plate, aggregatedResult); } for (Plate plate : array) { 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.PopulationVarianceBigIntegerWeightsTest.java
/** * Tests the aggregated plate statistics method using a collection. *///from w w w . j a v a 2s . c o m @Test public void testAggregatedPlateCollection() { List<PlateBigInteger> collection = Arrays.asList(array); Map<PlateBigInteger, BigDecimal> aggregatedReturnedMap = variance.platesAggregated(collection, weights, mc); Map<PlateBigInteger, BigDecimal> aggregatedResultMap = new TreeMap<PlateBigInteger, BigDecimal>(); for (PlateBigInteger plate : collection) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (WellBigInteger well : plate) { List<BigDecimal> input = well.toBigDecimal(); for (int i = 0; i < input.size(); i++) { resultList.add(input.get(i).multiply(new BigDecimal(weights[i]))); } } 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, mc); 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.microflexbiginteger.stat.PopulationVarianceWeightsTest.java
/** * Tests the aggregated plate statistics method using a collection. *//*ww w . j a v a2s . c o m*/ @Test public void testAggregatedPlateCollection() { List<Plate> collection = Arrays.asList(array); Map<Plate, BigDecimal> aggregatedReturnedMap = variance.platesAggregated(collection, weights, mc); Map<Plate, BigDecimal> aggregatedResultMap = new TreeMap<Plate, BigDecimal>(); for (Plate plate : collection) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (Well well : plate) { List<BigDecimal> input = well.toBigDecimal(); for (int i = 0; i < input.size(); i++) { resultList.add(input.get(i).multiply(new BigDecimal(weights[i]))); } } 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, mc); 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.microflex.stat.statbigdecimal.PopulationVarianceBigDecimalWeightsTest.java
/** * Tests the aggregated plate statistics method using an array. *///from w ww.j a v a2 s . co m @Test public void testAggregatedPlateArray() { Map<PlateBigDecimal, BigDecimal> aggregatedReturnedMap = variance.platesAggregated(array, weights, mc); Map<PlateBigDecimal, BigDecimal> aggregatedResultMap = new TreeMap<PlateBigDecimal, BigDecimal>(); for (PlateBigDecimal plate : array) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (WellBigDecimal well : plate) { List<BigDecimal> input = well.data(); for (int i = 0; i < input.size(); i++) { resultList.add(input.get(i).multiply(new BigDecimal(weights[i]))); } } 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, mc); aggregatedResultMap.put(plate, aggregatedResult); } for (PlateBigDecimal plate : array) { 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.PopulationVarianceWeightsTest.java
/** * Tests the aggregated plate statistics method using an array. *//* w w w .jav a 2 s. com*/ @Test public void testAggregatedPlateArray() { Map<Plate, BigDecimal> aggregatedReturnedMap = variance.platesAggregated(array, weights, mc); Map<Plate, BigDecimal> aggregatedResultMap = new TreeMap<Plate, BigDecimal>(); for (Plate plate : array) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (Well well : plate) { List<BigDecimal> input = well.data(); for (int i = 0; i < input.size(); i++) { resultList.add(input.get(i).multiply(new BigDecimal(weights[i]))); } } 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, mc); aggregatedResultMap.put(plate, aggregatedResult); } for (Plate plate : array) { BigDecimal result = aggregatedResultMap.get(plate); BigDecimal returned = aggregatedReturnedMap.get(plate); BigDecimal[] corrected = correctRoundingErrors(result, returned); assertEquals(corrected[0], corrected[1]); } }