List of usage examples for org.apache.commons.math3.stat.descriptive DescriptiveStatistics getSumsq
public double getSumsq()
From source file:com.github.jessemull.microflex.stat.statinteger.SumOfSquaresIntegerTest.java
/** * Tests the aggregated plate statistics method using a collection. *//* w w w . ja v a2 s. c om*/ @Test public void testAggregatedSetCollection() { List<WellSetInteger> collection = new ArrayList<WellSetInteger>(); for (PlateInteger plate : array) { collection.add(plate.dataSet()); } Map<WellSetInteger, Double> aggregatedReturnedMap = sum.setsAggregated(collection); Map<WellSetInteger, Double> aggregatedResultMap = new TreeMap<WellSetInteger, Double>(); for (WellSetInteger set : collection) { List<Double> resultList = new ArrayList<Double>(); for (WellInteger well : set) { resultList.addAll(well.toDouble()); } double[] inputAggregated = new double[resultList.size()]; for (int i = 0; i < resultList.size(); i++) { inputAggregated[i] = resultList.get(i); } DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated); double aggregatedResult = statAggregated.getSumsq(); aggregatedResultMap.put(set, aggregatedResult); } for (WellSetInteger 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.microflexdouble.stat.SumOfSquaresTest.java
/** * Tests the aggregated plate statistics method. *//* w w w .j a va 2s. com*/ @Test public void testAggregatedPlate() { for (Plate plate : array) { List<Double> resultList = new ArrayList<Double>(); double aggregatedReturned = Precision.round(sum.platesAggregated(plate), precision); for (Well well : plate) { resultList.addAll(well.data()); } double[] inputAggregated = new double[resultList.size()]; for (int i = 0; i < resultList.size(); i++) { inputAggregated[i] = resultList.get(i); } DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated); double resultAggregated = Precision.round(statAggregated.getSumsq(), precision); assertTrue(resultAggregated == aggregatedReturned); } }
From source file:com.github.jessemull.microflexdouble.stat.SumOfSquaresTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the collection./* ww w . jav a 2 s. c o m*/ */ @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<Plate> collection = Arrays.asList(arrayIndices); Map<Plate, Double> aggregatedReturnedMap = sum.platesAggregated(collection, begin, end - begin); Map<Plate, Double> aggregatedResultMap = new TreeMap<Plate, Double>(); for (Plate plate : collection) { List<Double> resultList = new ArrayList<Double>(); for (Well 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); } DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated); double resultAggregated = statAggregated.getSumsq(); aggregatedResultMap.put(plate, resultAggregated); } 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.SumOfSquaresTest.java
/** * Tests the aggregated plate statistics method. *//*from w w w . j a va2 s .c o m*/ @Test public void testAggregatedSet() { for (Plate plate : array) { List<Double> resultList = new ArrayList<Double>(); double aggregatedReturned = Precision.round(sum.setsAggregated(plate.dataSet()), precision); for (Well well : plate) { resultList.addAll(well.data()); } double[] inputAggregated = new double[resultList.size()]; for (int i = 0; i < resultList.size(); i++) { inputAggregated[i] = resultList.get(i); } DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated); double resultAggregated = Precision.round(statAggregated.getSumsq(), precision); assertTrue(resultAggregated == aggregatedReturned); } }
From source file:com.github.jessemull.microflexdouble.stat.SumOfSquaresTest.java
/** * Tests the aggregated plate statistics method using a collection. *//* w w w . j a v a 2 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); Map<WellSet, Double> aggregatedResultMap = new TreeMap<WellSet, Double>(); for (WellSet set : collection) { List<Double> resultList = new ArrayList<Double>(); 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); } DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated); double aggregatedResult = statAggregated.getSumsq(); 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.microflexinteger.stat.SumOfSquaresTest.java
/** * Tests the aggregated plate statistics method using an array. *//*from w w w . ja v a2 s.co 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, Double> aggregatedReturnedMap = sum.setsAggregated(setArray); Map<WellSet, Double> aggregatedResultMap = new TreeMap<WellSet, Double>(); for (WellSet set : setArray) { List<Double> resultList = new ArrayList<Double>(); for (Well well : set) { resultList.addAll(well.toDouble()); } double[] inputAggregated = new double[resultList.size()]; for (int i = 0; i < resultList.size(); i++) { inputAggregated[i] = resultList.get(i); } DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated); double aggregatedResult = statAggregated.getSumsq(); aggregatedResultMap.put(set, aggregatedResult); } for (WellSet set : setArray) { 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.SumOfSquaresDoubleTest.java
/** * Tests the aggregated plate statistics method. *//*from ww w. ja v a 2 s . c om*/ @Test public void testAggregatedPlate() { for (PlateDouble plate : array) { List<Double> resultList = new ArrayList<Double>(); double aggregatedReturned = Precision.round(sum.platesAggregated(plate), precision); for (WellDouble well : plate) { resultList.addAll(well.data()); } double[] inputAggregated = new double[resultList.size()]; for (int i = 0; i < resultList.size(); i++) { inputAggregated[i] = resultList.get(i); } DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated); double resultAggregated = Precision.round(statAggregated.getSumsq(), precision); assertTrue(resultAggregated == aggregatedReturned); } }
From source file:com.github.jessemull.microflex.stat.statdouble.SumOfSquaresDoubleTest.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 size = arrayIndices[0].first().size(); int begin = random.nextInt(size - 5); int end = (begin + 4) + random.nextInt(size - (begin + 4) + 1); List<PlateDouble> collection = Arrays.asList(arrayIndices); Map<PlateDouble, Double> aggregatedReturnedMap = sum.platesAggregated(collection, begin, end - begin); Map<PlateDouble, Double> aggregatedResultMap = new TreeMap<PlateDouble, Double>(); for (PlateDouble plate : collection) { List<Double> resultList = new ArrayList<Double>(); for (WellDouble 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); } DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated); double resultAggregated = statAggregated.getSumsq(); aggregatedResultMap.put(plate, resultAggregated); } 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.SumOfSquaresDoubleTest.java
/** * Tests the aggregated plate statistics method. *///from w w w. j a v a2 s . com @Test public void testAggregatedSet() { for (PlateDouble plate : array) { List<Double> resultList = new ArrayList<Double>(); double aggregatedReturned = Precision.round(sum.setsAggregated(plate.dataSet()), precision); for (WellDouble well : plate) { resultList.addAll(well.data()); } double[] inputAggregated = new double[resultList.size()]; for (int i = 0; i < resultList.size(); i++) { inputAggregated[i] = resultList.get(i); } DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated); double resultAggregated = Precision.round(statAggregated.getSumsq(), precision); assertTrue(resultAggregated == aggregatedReturned); } }
From source file:com.github.jessemull.microflex.stat.statdouble.SumOfSquaresDoubleTest.java
/** * Tests the aggregated plate statistics method using a collection. *//* w ww . j a va 2 s . co 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); Map<WellSetDouble, Double> aggregatedResultMap = new TreeMap<WellSetDouble, Double>(); for (WellSetDouble set : collection) { List<Double> resultList = new ArrayList<Double>(); for (WellDouble 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); } DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated); double aggregatedResult = statAggregated.getSumsq(); 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); } }