List of usage examples for org.apache.commons.math3.stat.descriptive DescriptiveStatistics getStandardDeviation
public double getStandardDeviation()
From source file:com.github.jessemull.microflexbigdecimal.stat.StandardDeviationTest.java
/** * Tests set calculation using indices.// www .ja v a2 s . co m */ @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 = deviation.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.getStandardDeviation(); 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.StandardDeviationTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the collection./*from w w w. j a v a2 s . com*/ */ @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 = deviation.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.getStandardDeviation(); 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.StandardDeviationTest.java
/** * Tests the plate statistics method using the values between the indices. *//*from w ww .j a va 2s . co 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 = deviation.plate(plate, begin, end - begin, mc); for (Well well : plate) { double[] input = new double[well.size()]; int index = 0; for (BigInteger bi : well) { input[index++] = bi.doubleValue(); } DescriptiveStatistics stat = new DescriptiveStatistics(ArrayUtils.subarray(input, begin, end)); double resultDouble = stat.getStandardDeviation(); 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.microflexbiginteger.stat.StandardDeviationTest.java
/** * Tests set calculation using indices.//ww w . j a v a 2 s . c o m */ @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 = deviation.set(plate.dataSet(), begin, end - begin, mc); for (Well well : plate) { double[] input = new double[well.size()]; int index = 0; for (BigInteger bi : well) { input[index++] = bi.doubleValue(); } DescriptiveStatistics stat = new DescriptiveStatistics(ArrayUtils.subarray(input, begin, end)); double resultDouble = stat.getStandardDeviation(); 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.microflexbiginteger.stat.StandardDeviationTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the collection.// w w w. j a v a 2 s .com */ @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 = deviation.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.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.getStandardDeviation(); 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.StandardDeviationBigDecimalTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the array./*from w w w . jav a2 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); WellSetBigDecimal[] setArrayIndices = new WellSetBigDecimal[arrayIndices.length]; for (int i = 0; i < setArrayIndices.length; i++) { setArrayIndices[i] = arrayIndices[i].dataSet(); } Map<WellSetBigDecimal, BigDecimal> aggregatedReturnedMap = deviation.setsAggregated(setArrayIndices, begin, end - begin, mc); 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.getStandardDeviation(); 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.microflex.stat.statbiginteger.StandardDeviationBigIntegerTest.java
/** * Tests the plate statistics method using the values between the indices. *///from ww w .j a va 2 s . co m @Test public void testPlateIndices() { for (PlateBigInteger 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<WellBigInteger, BigDecimal> resultMap = new TreeMap<WellBigInteger, BigDecimal>(); Map<WellBigInteger, BigDecimal> returnedMap = deviation.plate(plate, begin, end - begin, mc); 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(ArrayUtils.subarray(input, begin, end)); double resultDouble = stat.getStandardDeviation(); 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.statbiginteger.StandardDeviationBigIntegerTest.java
/** * Tests set calculation using indices./*from www. j a v a 2 s.c om*/ */ @Test public void testSetIndices() { for (PlateBigInteger 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<WellBigInteger, BigDecimal> resultMap = new TreeMap<WellBigInteger, BigDecimal>(); Map<WellBigInteger, BigDecimal> returnedMap = deviation.set(plate.dataSet(), begin, end - begin, mc); 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(ArrayUtils.subarray(input, begin, end)); double resultDouble = stat.getStandardDeviation(); 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.statbiginteger.StandardDeviationBigIntegerTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the collection./* w ww . j av a 2s .com*/ */ @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<WellSetBigInteger> collection = new ArrayList<WellSetBigInteger>(); for (PlateBigInteger plate : arrayIndices) { collection.add(plate.dataSet()); } Map<WellSetBigInteger, BigDecimal> aggregatedReturnedMap = deviation.setsAggregated(collection, begin, end - begin, 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().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.getStandardDeviation(); 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]); } }
From source file:com.github.jessemull.microflexbigdecimal.stat.StandardDeviationTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the array./*w w w . j av a2 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 = deviation.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.getStandardDeviation(); 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]); } }