List of usage examples for org.apache.commons.math3.stat.descriptive DescriptiveStatistics getMean
public double getMean()
From source file:com.github.jessemull.microflexbigdecimal.stat.MeanTest.java
/** * Tests the aggregated plate statistics method using an array. *//*w w w . j av a2s . c o 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 = mean.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.getMean(); 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.microflex.stat.statbigdecimal.MeanBigDecimalTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the array./* w w w.ja v a 2s. 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 = mean.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.getMean(); 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.microflex.stat.statbigdecimal.MeanBigDecimalTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the collection.//from w w w . jav a 2 s .c om */ @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 = mean.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.getMean(); 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.MeanBigDecimalTest.java
/** * Tests the aggregated plate statistics method using a collection. *///from w w w. j a v a 2 s. com @Test public void testAggregatedSetCollection() { List<WellSetBigDecimal> collection = new ArrayList<WellSetBigDecimal>(); for (PlateBigDecimal plate : array) { collection.add(plate.dataSet()); } Map<WellSetBigDecimal, BigDecimal> aggregatedReturnedMap = mean.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.getMean(); 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.microflexbigdecimal.stat.MeanTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the collection.//from ww w . j a v a 2s.c o m */ @Test public void testAggregatedSetCollectionIndices() { int size = arrayIndices[0].first().size(); int begin = random.nextInt(size - 5); int end = (begin + 4) + random.nextInt(size - (begin + 4) + 1); List<WellSet> collection = new ArrayList<WellSet>(); for (Plate plate : arrayIndices) { collection.add(plate.dataSet()); } Map<WellSet, BigDecimal> aggregatedReturnedMap = mean.setsAggregated(collection, begin, end - begin, 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().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.getMean(); 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.statbigdecimal.MeanBigDecimalTest.java
/** * Tests the aggregated plate statistics method using an array. */// w ww. j a va2 s . c om @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 = mean.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.getMean(); 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.microflexbigdecimal.stat.MeanTest.java
/** * Tests the plate statistics method using the values between the indices. *//*w w w. java 2 s.c o m*/ @Test public void testPlateIndices() { for (Plate plate : arrayIndices) { int size = arrayIndices[0].first().size(); int begin = random.nextInt(size - 5); int end = (begin + 4) + random.nextInt(size - (begin + 4) + 1); Map<Well, BigDecimal> resultMap = new TreeMap<Well, BigDecimal>(); Map<Well, BigDecimal> returnedMap = mean.plate(plate, begin, end - begin, mc); for (Well well : plate) { double[] input = new double[well.size()]; int index = 0; for (BigDecimal bd : well) { input[index++] = bd.doubleValue(); } DescriptiveStatistics stat = new DescriptiveStatistics(ArrayUtils.subarray(input, begin, end)); double resultDouble = stat.getMean(); 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.microflexbigdecimal.stat.MeanTest.java
/** * Tests set calculation using indices.//from w w w . j av a 2 s . c om */ @Test public void testSetIndices() { for (Plate plate : arrayIndices) { int size = arrayIndices[0].first().size(); int begin = random.nextInt(size - 5); int end = (begin + 4) + random.nextInt(size - (begin + 4) + 1); Map<Well, BigDecimal> resultMap = new TreeMap<Well, BigDecimal>(); Map<Well, BigDecimal> returnedMap = mean.set(plate.dataSet(), begin, end - begin, mc); for (Well well : plate) { double[] input = new double[well.size()]; int index = 0; for (BigDecimal bd : well) { input[index++] = bd.doubleValue(); } DescriptiveStatistics stat = new DescriptiveStatistics(ArrayUtils.subarray(input, begin, end)); double resultDouble = stat.getMean(); 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.microflexbigdecimal.stat.MeanTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the array.//from w w w . j av a 2 s. c o m */ @Test public void testAggregatedSetArrayIndices() { int size = arrayIndices[0].first().size(); int begin = random.nextInt(size - 5); int end = (begin + 4) + random.nextInt(size - (begin + 4) + 1); WellSet[] setArrayIndices = new WellSet[arrayIndices.length]; for (int i = 0; i < setArrayIndices.length; i++) { setArrayIndices[i] = arrayIndices[i].dataSet(); } Map<WellSet, BigDecimal> aggregatedReturnedMap = mean.setsAggregated(setArrayIndices, begin, end - begin, mc); Map<WellSet, BigDecimal> aggregatedResultMap = new TreeMap<WellSet, BigDecimal>(); for (WellSet set : setArrayIndices) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (Well well : set) { 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.getMean(); BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble); aggregatedResultMap.put(set, aggregatedResult); } for (WellSet plate : setArrayIndices) { 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.MeanBigDecimalTest.java
/** * Tests the plate statistics method using the values between the indices. *///ww w. j a va 2s. c o m @Test public void testPlateIndices() { for (PlateBigDecimal plate : arrayIndices) { int size = arrayIndices[0].first().size(); int begin = random.nextInt(size - 5); int end = (begin + 4) + random.nextInt(size - (begin + 4) + 1); Map<WellBigDecimal, BigDecimal> resultMap = new TreeMap<WellBigDecimal, BigDecimal>(); Map<WellBigDecimal, BigDecimal> returnedMap = mean.plate(plate, begin, end - begin, 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(ArrayUtils.subarray(input, begin, end)); 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]); } } }