List of usage examples for org.apache.commons.math3.stat.descriptive DescriptiveStatistics getMin
public double getMin()
From source file:com.github.jessemull.microflex.stat.statbiginteger.MinBigIntegerTest.java
/** * Tests set calculation.// w w w .j a v 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 = min.set(plate.dataSet()); for (WellBigInteger 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.getMin(); BigDecimal result = new BigDecimal(resultDouble); 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.microflex.stat.statbigdecimal.MinBigDecimalTest.java
/** * Tests the plate statistics method using the values between the indices. *///from ww w .ja v a 2s . co 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 = min.plate(plate, begin, end - begin); 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.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.statbigdecimal.MinBigDecimalTest.java
/** * Tests set calculation using indices.//from ww w .j a v a 2 s . c om */ @Test public void testSetIndices() { 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 = min.set(plate.dataSet(), begin, end - begin); 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.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.statbigdecimal.MinBigDecimalTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the collection.//from w w w. j a va 2 s . c om */ @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<WellSetBigDecimal> collection = new ArrayList<WellSetBigDecimal>(); for (PlateBigDecimal plate : arrayIndices) { collection.add(plate.dataSet()); } Map<WellSetBigDecimal, BigDecimal> aggregatedReturnedMap = min.setsAggregated(collection, begin, end - begin); 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().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.getMin(); 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.MinBigDecimalTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the array.// ww w. ja v a 2s. 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); WellSetBigDecimal[] setArrayIndices = new WellSetBigDecimal[arrayIndices.length]; for (int i = 0; i < setArrayIndices.length; i++) { setArrayIndices[i] = arrayIndices[i].dataSet(); } Map<WellSetBigDecimal, BigDecimal> aggregatedReturnedMap = min.setsAggregated(setArrayIndices, begin, end - begin); Map<WellSetBigDecimal, BigDecimal> aggregatedResultMap = new TreeMap<WellSetBigDecimal, BigDecimal>(); for (WellSetBigDecimal set : setArrayIndices) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (WellBigDecimal 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.getMin(); BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble); aggregatedResultMap.put(set, aggregatedResult); } for (WellSetBigDecimal 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.microflexbiginteger.stat.MinTest.java
/** * Tests the aggregated plate statistics method. *///from www . j a v a2s. c o m @Test public void testAggregatedPlate() { for (Plate plate : array) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); BigDecimal aggregatedReturned = min.platesAggregated(plate); for (Well well : plate) { 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.getMin(); BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble); BigDecimal[] corrected = correctRoundingErrors(aggregatedResult, aggregatedReturned); assertEquals(corrected[0], corrected[1]); } }
From source file:com.github.jessemull.microflexbiginteger.stat.MinTest.java
/** * Tests the aggregated plate statistics method. *///from ww w . j a v a2 s . c om @Test public void testAggregatedSet() { for (Plate plate : array) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); BigDecimal aggregatedReturned = min.setsAggregated(plate.dataSet()); for (Well well : plate) { 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.getMin(); BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble); BigDecimal[] corrected = correctRoundingErrors(aggregatedResult, aggregatedReturned); assertEquals(corrected[0], corrected[1]); } }
From source file:com.github.jessemull.microflexbiginteger.stat.MinTest.java
/** * Tests the aggregated plate statistics method using the values between the indices. *//*from www .j a v a 2 s . c om*/ @Test public void testAggregatedPlateIndices() { 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); List<BigDecimal> resultList = new ArrayList<BigDecimal>(); BigDecimal aggregatedReturned = min.platesAggregated(plate, begin, end - begin); 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.getMin(); BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble); BigDecimal[] corrected = correctRoundingErrors(aggregatedResult, aggregatedReturned); assertEquals(corrected[0], corrected[1]); } }
From source file:com.github.jessemull.microflexbiginteger.stat.MinTest.java
/** * Tests the aggregated plate statistics method using the values between the indices. *///from www. j ava 2s .c o m @Test public void testAggregatedSetIndices() { 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); List<BigDecimal> resultList = new ArrayList<BigDecimal>(); BigDecimal aggregatedReturned = min.setsAggregated(plate.dataSet(), begin, end - begin); 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.getMin(); BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble); BigDecimal[] corrected = correctRoundingErrors(aggregatedResult, aggregatedReturned); assertEquals(corrected[0], corrected[1]); } }
From source file:com.github.jessemull.microflex.stat.statbiginteger.MinBigIntegerTest.java
/** * Tests the aggregated plate statistics method. *///from w w w . ja v a2s.c om @Test public void testAggregatedPlate() { for (PlateBigInteger plate : array) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); BigDecimal aggregatedReturned = min.platesAggregated(plate); for (WellBigInteger well : plate) { 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.getMin(); BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble); BigDecimal[] corrected = correctRoundingErrors(aggregatedResult, aggregatedReturned); assertEquals(corrected[0], corrected[1]); } }