List of usage examples for org.apache.commons.math3.stat.descriptive DescriptiveStatistics getSum
public double getSum()
From source file:com.github.jessemull.microflexdouble.stat.SumWeightsTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the collection.// w ww .j a va2 s.c om */ @Test public void testAggregatedPlateCollectionIndices() { int begin = random.nextInt(arrayIndices[0].first().size() - 4); int end = begin + random.nextInt(3) + 3; List<Plate> collection = Arrays.asList(arrayIndices); Map<Plate, Double> aggregatedReturnedMap = sum.platesAggregated(collection, weightsIndices, begin, end - begin); Map<Plate, Double> aggregatedResultMap = new TreeMap<Plate, Double>(); for (Plate plate : collection) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (Well well : plate) { List<BigDecimal> input = well.toBigDecimal().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 aggregatedResult = statAggregated.getSum(); aggregatedResultMap.put(plate, aggregatedResult); } for (Plate plate : collection) { double result = Precision.round(aggregatedResultMap.get(plate), precision); double returned = Precision.round(aggregatedReturnedMap.get(plate), precision); assertTrue(result == returned); } }
From source file:com.github.jessemull.microflexdouble.stat.SumWeightsTest.java
/** * Tests the aggregated plate statistics method. *//*from w ww .j a v a2 s .c o m*/ @Test public void testAggregatedSet() { for (Plate plate : array) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); double aggregatedReturned = Precision.round(sum.setsAggregated(plate.dataSet(), weights), precision); 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 aggregatedResult = Precision.round(statAggregated.getSum(), precision); assertTrue(aggregatedResult == aggregatedReturned); } }
From source file:com.github.jessemull.microflexdouble.stat.SumWeightsTest.java
/** * Tests the aggregated plate statistics method using a collection. *//*from ww w . j av a2 s . c o m*/ @Test public void testAggregatedSetCollection() { List<WellSet> collection = new ArrayList<WellSet>(); for (Plate plate : array) { collection.add(plate.dataSet()); } Map<WellSet, Double> aggregatedReturnedMap = sum.setsAggregated(collection, weights); Map<WellSet, Double> aggregatedResultMap = new TreeMap<WellSet, Double>(); for (WellSet set : collection) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (Well well : set) { 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 aggregatedResult = statAggregated.getSum(); aggregatedResultMap.put(set, aggregatedResult); } for (WellSet set : collection) { double result = Precision.round(aggregatedResultMap.get(set), precision); double returned = Precision.round(aggregatedReturnedMap.get(set), precision); assertTrue(result == returned); } }
From source file:com.github.jessemull.microflex.stat.statdouble.SumDoubleWeightsTest.java
/** * Tests the aggregated plate statistics method. */// w ww .jav a2s . c o m @Test public void testAggregatedPlate() { for (PlateDouble plate : array) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); double aggregatedReturned = Precision.round(sum.platesAggregated(plate, weights), precision); for (WellDouble 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 resultAggregated = Precision.round(statAggregated.getSum(), precision); assertTrue(resultAggregated == aggregatedReturned); } }
From source file:com.github.jessemull.microflex.stat.statdouble.SumDoubleWeightsTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the collection.//from ww w .ja v a 2 s . com */ @Test public void testAggregatedPlateCollectionIndices() { int begin = random.nextInt(arrayIndices[0].first().size() - 4); int end = begin + random.nextInt(3) + 3; List<PlateDouble> collection = Arrays.asList(arrayIndices); Map<PlateDouble, Double> aggregatedReturnedMap = sum.platesAggregated(collection, weightsIndices, begin, end - begin); Map<PlateDouble, Double> aggregatedResultMap = new TreeMap<PlateDouble, Double>(); for (PlateDouble plate : collection) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (WellDouble well : plate) { List<BigDecimal> input = well.toBigDecimal().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 aggregatedResult = statAggregated.getSum(); aggregatedResultMap.put(plate, aggregatedResult); } for (PlateDouble plate : collection) { double result = Precision.round(aggregatedResultMap.get(plate), precision); double returned = Precision.round(aggregatedReturnedMap.get(plate), precision); assertTrue(result == returned); } }
From source file:com.github.jessemull.microflex.stat.statdouble.SumDoubleWeightsTest.java
/** * Tests the aggregated plate statistics method. *//*from ww w . j a v a2s. com*/ @Test public void testAggregatedSet() { for (PlateDouble plate : array) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); double aggregatedReturned = Precision.round(sum.setsAggregated(plate.dataSet(), weights), precision); for (WellDouble 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 aggregatedResult = Precision.round(statAggregated.getSum(), precision); assertTrue(aggregatedResult == aggregatedReturned); } }
From source file:com.github.jessemull.microflex.stat.statdouble.SumDoubleWeightsTest.java
/** * Tests the aggregated plate statistics method using a collection. *///www. j av a 2s. c o m @Test public void testAggregatedSetCollection() { List<WellSetDouble> collection = new ArrayList<WellSetDouble>(); for (PlateDouble plate : array) { collection.add(plate.dataSet()); } Map<WellSetDouble, Double> aggregatedReturnedMap = sum.setsAggregated(collection, weights); Map<WellSetDouble, Double> aggregatedResultMap = new TreeMap<WellSetDouble, Double>(); for (WellSetDouble set : collection) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (WellDouble well : set) { 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 aggregatedResult = statAggregated.getSum(); aggregatedResultMap.put(set, aggregatedResult); } for (WellSetDouble set : collection) { double result = Precision.round(aggregatedResultMap.get(set), precision); double returned = Precision.round(aggregatedReturnedMap.get(set), precision); assertTrue(result == returned); } }
From source file:com.github.jessemull.microflex.stat.statinteger.SumIntegerWeightsTest.java
/** * Tests the aggregated plate statistics method. *//* ww w . j a va2 s .co m*/ @Test public void testAggregatedPlate() { for (PlateInteger plate : array) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); double aggregatedReturned = Precision.round(sum.platesAggregated(plate, weights), precision); for (WellInteger 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 resultAggregated = Precision.round(statAggregated.getSum(), precision); assertTrue(resultAggregated == aggregatedReturned); } }
From source file:com.github.jessemull.microflex.stat.statinteger.SumIntegerWeightsTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the collection.//from w w w .ja va 2 s . com */ @Test public void testAggregatedPlateCollectionIndices() { int begin = random.nextInt(arrayIndices[0].first().size() - 4); int end = begin + random.nextInt(3) + 3; List<PlateInteger> collection = Arrays.asList(arrayIndices); Map<PlateInteger, Double> aggregatedReturnedMap = sum.platesAggregated(collection, weightsIndices, begin, end - begin); Map<PlateInteger, Double> aggregatedResultMap = new TreeMap<PlateInteger, Double>(); for (PlateInteger plate : collection) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (WellInteger well : plate) { List<BigDecimal> input = well.toBigDecimal().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 aggregatedResult = statAggregated.getSum(); aggregatedResultMap.put(plate, aggregatedResult); } for (PlateInteger plate : collection) { double result = Precision.round(aggregatedResultMap.get(plate), precision); double returned = Precision.round(aggregatedReturnedMap.get(plate), precision); assertTrue(result == returned); } }
From source file:com.github.jessemull.microflex.stat.statinteger.SumIntegerWeightsTest.java
/** * Tests the aggregated plate statistics method. */// w w w.ja v a2s. co m @Test public void testAggregatedSet() { for (PlateInteger plate : array) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); double aggregatedReturned = Precision.round(sum.setsAggregated(plate.dataSet(), weights), precision); for (WellInteger 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 aggregatedResult = Precision.round(statAggregated.getSum(), precision); assertTrue(aggregatedResult == aggregatedReturned); } }