List of usage examples for org.apache.commons.math3.stat.descriptive DescriptiveStatistics getGeometricMean
public double getGeometricMean()
From source file:com.github.jessemull.microflexdouble.stat.GeometricMeanWeightsTest.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 (Plate plate : arrayIndices) { int begin = random.nextInt(plate.first().size() - 4); int end = begin + random.nextInt(3) + 3; Map<Well, Double> resultMap = new TreeMap<Well, Double>(); Map<Well, Double> returnedMap = mean.plate(plate, ArrayUtils.subarray(weightsIndices, begin, end), begin, end - begin); for (Well well : plate) { double[] input = new double[well.size()]; int index = 0; for (double db : well) { input[index] = db * weightsIndices[index]; index++; } DescriptiveStatistics stat = new DescriptiveStatistics(ArrayUtils.subarray(input, begin, end)); double result = stat.getGeometricMean(); resultMap.put(well, result); } for (Well well : plate) { double result = Precision.round(resultMap.get(well), precision); double returned = Precision.round(returnedMap.get(well), precision); assertTrue(result == returned); } } }
From source file:com.github.jessemull.microflexdouble.stat.GeometricMeanWeightsTest.java
/** * Tests set calculation using indices.//from w w w .jav a 2s . c om */ @Test public void testSetIndices() { for (Plate plate : arrayIndices) { int begin = random.nextInt(plate.first().size() - 4); int end = begin + random.nextInt(3) + 3; Map<Well, Double> resultMap = new TreeMap<Well, Double>(); Map<Well, Double> returnedMap = mean.set(plate.dataSet(), ArrayUtils.subarray(weightsIndices, begin, end), begin, end - begin); for (Well well : plate) { double[] input = new double[well.size()]; int index = 0; for (double db : well) { input[index] = db * weightsIndices[index]; index++; } DescriptiveStatistics stat = new DescriptiveStatistics(ArrayUtils.subarray(input, begin, end)); double result = stat.getGeometricMean(); resultMap.put(well, result); } for (Well well : plate) { double result = Precision.round(resultMap.get(well), precision); double returned = Precision.round(returnedMap.get(well), precision); assertTrue(result == returned); } } }
From source file:com.github.jessemull.microflex.stat.statdouble.GeometricMeanDoubleWeightsTest.java
/** * Tests the plate statistics method using the values between the indices. *//* w ww . j a v a 2 s.c om*/ @Test public void testPlateIndices() { for (PlateDouble plate : arrayIndices) { int begin = random.nextInt(plate.first().size() - 4); int end = begin + random.nextInt(3) + 3; Map<WellDouble, Double> resultMap = new TreeMap<WellDouble, Double>(); Map<WellDouble, Double> returnedMap = mean.plate(plate, ArrayUtils.subarray(weightsIndices, begin, end), begin, end - begin); for (WellDouble well : plate) { double[] input = new double[well.size()]; int index = 0; for (double db : well) { input[index] = db * weightsIndices[index]; index++; } DescriptiveStatistics stat = new DescriptiveStatistics(ArrayUtils.subarray(input, begin, end)); double result = stat.getGeometricMean(); resultMap.put(well, result); } for (WellDouble well : plate) { double result = Precision.round(resultMap.get(well), precision); double returned = Precision.round(returnedMap.get(well), precision); assertTrue(result == returned); } } }
From source file:com.github.jessemull.microflex.stat.statdouble.GeometricMeanDoubleWeightsTest.java
/** * Tests set calculation using indices.//from ww w .j a v a 2s.co m */ @Test public void testSetIndices() { for (PlateDouble plate : arrayIndices) { int begin = random.nextInt(plate.first().size() - 4); int end = begin + random.nextInt(3) + 3; Map<WellDouble, Double> resultMap = new TreeMap<WellDouble, Double>(); Map<WellDouble, Double> returnedMap = mean.set(plate.dataSet(), ArrayUtils.subarray(weightsIndices, begin, end), begin, end - begin); for (WellDouble well : plate) { double[] input = new double[well.size()]; int index = 0; for (double db : well) { input[index] = db * weightsIndices[index]; index++; } DescriptiveStatistics stat = new DescriptiveStatistics(ArrayUtils.subarray(input, begin, end)); double result = stat.getGeometricMean(); resultMap.put(well, result); } for (WellDouble well : plate) { double result = Precision.round(resultMap.get(well), precision); double returned = Precision.round(returnedMap.get(well), precision); assertTrue(result == returned); } } }
From source file:com.github.jessemull.microflex.stat.statinteger.GeometricMeanIntegerWeightsTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the array./*ww w . j av a 2 s . c o m*/ */ @Test public void testAggregatedPlateArrayIndices() { int begin = random.nextInt(arrayIndices[0].first().size() - 4); int end = begin + random.nextInt(3) + 3; Map<PlateInteger, Double> aggregatedReturnedMap = mean.platesAggregated(arrayIndices, weightsIndices, begin, end - begin); Map<PlateInteger, Double> aggregatedResultMap = new TreeMap<PlateInteger, Double>(); for (PlateInteger plate : arrayIndices) { 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.getGeometricMean(); aggregatedResultMap.put(plate, aggregatedResult); } for (PlateInteger plate : arrayIndices) { 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.GeometricMeanWeightsTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the array./* ww w.ja v a 2 s .c o m*/ */ @Test public void testAggregatedPlateArrayIndices() { int begin = random.nextInt(arrayIndices[0].first().size() - 4); int end = begin + random.nextInt(3) + 3; Map<Plate, Double> aggregatedReturnedMap = mean.platesAggregated(arrayIndices, weightsIndices, begin, end - begin); Map<Plate, Double> aggregatedResultMap = new TreeMap<Plate, Double>(); for (Plate plate : arrayIndices) { 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.getGeometricMean(); aggregatedResultMap.put(plate, aggregatedResult); } for (Plate plate : arrayIndices) { 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.GeometricMeanDoubleWeightsTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the array.//from ww w. j a v a 2 s . c o m */ @Test public void testAggregatedPlateArrayIndices() { int begin = random.nextInt(arrayIndices[0].first().size() - 4); int end = begin + random.nextInt(3) + 3; Map<PlateDouble, Double> aggregatedReturnedMap = mean.platesAggregated(arrayIndices, weightsIndices, begin, end - begin); Map<PlateDouble, Double> aggregatedResultMap = new TreeMap<PlateDouble, Double>(); for (PlateDouble plate : arrayIndices) { 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.getGeometricMean(); aggregatedResultMap.put(plate, aggregatedResult); } for (PlateDouble plate : arrayIndices) { 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.GeometricMeanIntegerWeightsTest.java
/** * Tests the aggregated plate statistics method. */// ww w . j a v a2s . c o m @Test public void testAggregatedPlate() { for (PlateInteger plate : array) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); double aggregatedReturned = Precision.round(mean.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.getGeometricMean(), precision); assertTrue(resultAggregated == aggregatedReturned); } }
From source file:com.github.jessemull.microflex.stat.statinteger.GeometricMeanIntegerWeightsTest.java
/** * Tests the aggregated plate statistics method using the values between the indices of * the collection./*w w w . ja v a2 s . co m*/ */ @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 = mean.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.getGeometricMean(); 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.GeometricMeanIntegerWeightsTest.java
/** * Tests the aggregated plate statistics method. *///from www .j av a2 s.c om @Test public void testAggregatedSet() { for (PlateInteger plate : array) { List<BigDecimal> resultList = new ArrayList<BigDecimal>(); double aggregatedReturned = Precision.round(mean.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.getGeometricMean(), precision); assertTrue(aggregatedResult == aggregatedReturned); } }