List of usage examples for org.apache.commons.math3.stat.descriptive DescriptiveStatistics getMean
public double getMean()
From source file:com.github.jessemull.microflexdouble.stat.MeanWeightsTest.java
/** * Tests the aggregated plate statistics method using the values between the indices. *//*w w w . j a va 2 s.com*/ @Test public void testAggregatedPlateIndices() { for (Plate plate : arrayIndices) { int begin = random.nextInt(plate.first().size() - 4); int end = begin + random.nextInt(3) + 3; List<BigDecimal> resultList = new ArrayList<BigDecimal>(); double aggregatedReturned = Precision .round(mean.platesAggregated(plate, weightsIndices, begin, end - begin), precision); 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 resultAggregated = Precision.round(statAggregated.getMean(), precision); assertTrue(resultAggregated == aggregatedReturned); } }
From source file:com.github.jessemull.microflexdouble.stat.MeanWeightsTest.java
/** * Tests the aggregated plate statistics method using the values between the indices. *///from w w w . j a v a 2s. c om @Test public void testAggregatedSetIndices() { for (Plate plate : arrayIndices) { int begin = random.nextInt(plate.first().size() - 4); int end = begin + random.nextInt(3) + 3; List<BigDecimal> resultList = new ArrayList<BigDecimal>(); double aggregatedReturned = Precision .round(mean.setsAggregated(plate.dataSet(), weightsIndices, begin, end - begin), precision); 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 resultAggregated = Precision.round(statAggregated.getMean(), precision); assertTrue(resultAggregated == aggregatedReturned); } }
From source file:com.github.jessemull.microflexdouble.stat.MeanWeightsTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the collection./* www . j av a2 s .c o m*/ */ @Test public void testAggregatedSetCollectionIndices() { int begin = random.nextInt(arrayIndices[0].first().size() - 4); int end = begin + random.nextInt(3) + 3; List<WellSet> collection = new ArrayList<WellSet>(); for (Plate plate : arrayIndices) { collection.add(plate.dataSet()); } Map<WellSet, Double> aggregatedReturnedMap = mean.setsAggregated(collection, weightsIndices, begin, end - begin); 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().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.getMean(); 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.microflexdouble.stat.MeanWeightsTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the array.// w ww .j av a2s . c o m */ @Test public void testAggregatedSetArrayIndices() { int begin = random.nextInt(arrayIndices[0].first().size() - 4); int end = begin + random.nextInt(3) + 3; WellSet[] setArrayIndices = new WellSet[arrayIndices.length]; for (int i = 0; i < setArrayIndices.length; i++) { setArrayIndices[i] = arrayIndices[i].dataSet(); } Map<WellSet, Double> aggregatedReturnedMap = mean.setsAggregated(setArrayIndices, weightsIndices, begin, end - begin); Map<WellSet, Double> aggregatedResultMap = new TreeMap<WellSet, Double>(); for (WellSet set : setArrayIndices) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (Well well : set) { 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.getMean(); aggregatedResultMap.put(set, aggregatedResult); } for (WellSet plate : setArrayIndices) { 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.MeanDoubleWeightsTest.java
/** * Tests the aggregated plate statistics method using the values between the indices. *//* w w w . j ava2 s . c om*/ @Test public void testAggregatedPlateIndices() { for (PlateDouble plate : arrayIndices) { int begin = random.nextInt(plate.first().size() - 4); int end = begin + random.nextInt(3) + 3; List<BigDecimal> resultList = new ArrayList<BigDecimal>(); double aggregatedReturned = Precision .round(mean.platesAggregated(plate, weightsIndices, begin, end - begin), precision); 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 resultAggregated = Precision.round(statAggregated.getMean(), precision); assertTrue(resultAggregated == aggregatedReturned); } }
From source file:com.github.jessemull.microflex.stat.statdouble.MeanDoubleWeightsTest.java
/** * Tests the aggregated plate statistics method using the values between the indices. *///from w w w . j a v a 2 s . com @Test public void testAggregatedSetIndices() { for (PlateDouble plate : arrayIndices) { int begin = random.nextInt(plate.first().size() - 4); int end = begin + random.nextInt(3) + 3; List<BigDecimal> resultList = new ArrayList<BigDecimal>(); double aggregatedReturned = Precision .round(mean.setsAggregated(plate.dataSet(), weightsIndices, begin, end - begin), precision); 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 resultAggregated = Precision.round(statAggregated.getMean(), precision); assertTrue(resultAggregated == aggregatedReturned); } }
From source file:com.github.jessemull.microflex.stat.statdouble.MeanDoubleWeightsTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the collection.// w ww.j a v a2 s . com */ @Test public void testAggregatedSetCollectionIndices() { int begin = random.nextInt(arrayIndices[0].first().size() - 4); int end = begin + random.nextInt(3) + 3; List<WellSetDouble> collection = new ArrayList<WellSetDouble>(); for (PlateDouble plate : arrayIndices) { collection.add(plate.dataSet()); } Map<WellSetDouble, Double> aggregatedReturnedMap = mean.setsAggregated(collection, weightsIndices, begin, end - begin); 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().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.getMean(); 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.statdouble.MeanDoubleWeightsTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the array./* w w w. j a v a2 s .c o m*/ */ @Test public void testAggregatedSetArrayIndices() { int begin = random.nextInt(arrayIndices[0].first().size() - 4); int end = begin + random.nextInt(3) + 3; WellSetDouble[] setArrayIndices = new WellSetDouble[arrayIndices.length]; for (int i = 0; i < setArrayIndices.length; i++) { setArrayIndices[i] = arrayIndices[i].dataSet(); } Map<WellSetDouble, Double> aggregatedReturnedMap = mean.setsAggregated(setArrayIndices, weightsIndices, begin, end - begin); Map<WellSetDouble, Double> aggregatedResultMap = new TreeMap<WellSetDouble, Double>(); for (WellSetDouble set : setArrayIndices) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); for (WellDouble well : set) { 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.getMean(); aggregatedResultMap.put(set, aggregatedResult); } for (WellSetDouble plate : setArrayIndices) { 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.MeanIntegerWeightsTest.java
/** * Tests the aggregated plate statistics method using the values between the indices. *//*from w w w.j av a2 s. co m*/ @Test public void testAggregatedPlateIndices() { for (PlateInteger plate : arrayIndices) { int begin = random.nextInt(plate.first().size() - 4); int end = begin + random.nextInt(3) + 3; List<BigDecimal> resultList = new ArrayList<BigDecimal>(); double aggregatedReturned = Precision .round(mean.platesAggregated(plate, weightsIndices, begin, end - begin), precision); 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 resultAggregated = Precision.round(statAggregated.getMean(), precision); assertTrue(resultAggregated == aggregatedReturned); } }
From source file:com.github.jessemull.microflex.stat.statinteger.MeanIntegerWeightsTest.java
/** * Tests the aggregated plate statistics method using the values between the indices. *//*from w w w . j av a2 s. c o m*/ @Test public void testAggregatedSetIndices() { for (PlateInteger plate : arrayIndices) { int begin = random.nextInt(plate.first().size() - 4); int end = begin + random.nextInt(3) + 3; List<BigDecimal> resultList = new ArrayList<BigDecimal>(); double aggregatedReturned = Precision .round(mean.setsAggregated(plate.dataSet(), weightsIndices, begin, end - begin), precision); 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 resultAggregated = Precision.round(statAggregated.getMean(), precision); assertTrue(resultAggregated == aggregatedReturned); } }