List of usage examples for org.apache.commons.math3.stat.descriptive DescriptiveStatistics DescriptiveStatistics
public DescriptiveStatistics(DescriptiveStatistics original) throws NullArgumentException
From source file:com.github.jessemull.microflexdouble.stat.GeometricMeanTest.java
/** * Tests the aggregated plate statistics method. *//*w w w . ja v a 2 s .co m*/ @Test public void testAggregatedPlate() { for (Plate plate : array) { List<Double> resultList = new ArrayList<Double>(); double aggregatedReturned = Precision.round(mean.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.getGeometricMean(), precision); assertTrue(resultAggregated == aggregatedReturned); } }
From source file:com.github.jessemull.microflexinteger.stat.GeometricMeanTest.java
/** * Tests the aggregated plate statistics method. *///w ww . j a v a 2 s . c o m @Test public void testAggregatedPlate() { for (Plate plate : array) { List<Double> resultList = new ArrayList<Double>(); double aggregatedReturned = Precision.round(mean.platesAggregated(plate), precision); for (Well well : plate) { 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 resultAggregated = Precision.round(statAggregated.getGeometricMean(), precision); assertTrue(resultAggregated == aggregatedReturned); } }
From source file:com.github.jessemull.microflexdouble.stat.SampleVarianceTest.java
/** * Tests the aggregated plate statistics method. *//*from w w w . ja v a 2s . c om*/ @Test public void testAggregatedPlate() { for (Plate plate : array) { List<Double> resultList = new ArrayList<Double>(); double aggregatedReturned = Precision.round(variance.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.getVariance(), precision); assertTrue(resultAggregated == aggregatedReturned); } }
From source file:com.github.jessemull.microflexinteger.stat.SampleVarianceTest.java
/** * Tests the aggregated plate statistics method. *//*from www. j av a2s . c om*/ @Test public void testAggregatedPlate() { for (Plate plate : array) { List<Double> resultList = new ArrayList<Double>(); double aggregatedReturned = Precision.round(variance.platesAggregated(plate), precision); for (Well well : plate) { 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 resultAggregated = Precision.round(statAggregated.getVariance(), precision); assertTrue(resultAggregated == aggregatedReturned); } }
From source file:com.github.jessemull.microflex.stat.statbigdecimal.SumBigDecimalWeightsTest.java
/** * Tests the plate statistics method using the values between the indices. *///from ww w. j a va 2 s . c o m @Test public void testPlateIndices() { for (PlateBigDecimal plate : arrayIndices) { int begin = random.nextInt(plate.first().size() - 4); int end = begin + random.nextInt(3) + 3; Map<WellBigDecimal, BigDecimal> resultMap = new TreeMap<WellBigDecimal, BigDecimal>(); Map<WellBigDecimal, BigDecimal> returnedMap = sum.plate(plate, ArrayUtils.subarray(weightsIndices, begin, end), begin, end - begin, mc); for (WellBigDecimal well : plate) { double[] input = new double[well.size()]; int index = 0; for (BigDecimal bd : well) { input[index] = bd.doubleValue() * weightsIndices[index]; index++; } DescriptiveStatistics stat = new DescriptiveStatistics(ArrayUtils.subarray(input, begin, end)); double resultDouble = stat.getSum(); BigDecimal result = new BigDecimal(resultDouble, mc); resultMap.put(well, result); } for (WellBigDecimal 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.statbigdecimal.MeanBigDecimalWeightsTest.java
/** * Tests the plate statistics method using the values between the indices. *///from w ww. j a v a2 s .com @Test public void testPlateIndices() { for (PlateBigDecimal plate : arrayIndices) { int begin = random.nextInt(plate.first().size() - 4); int end = begin + random.nextInt(3) + 3; Map<WellBigDecimal, BigDecimal> resultMap = new TreeMap<WellBigDecimal, BigDecimal>(); Map<WellBigDecimal, BigDecimal> returnedMap = mean.plate(plate, ArrayUtils.subarray(weightsIndices, begin, end), begin, end - begin, mc); for (WellBigDecimal well : plate) { double[] input = new double[well.size()]; int index = 0; for (BigDecimal bd : well) { input[index] = bd.doubleValue() * weightsIndices[index]; index++; } DescriptiveStatistics stat = new DescriptiveStatistics(ArrayUtils.subarray(input, begin, end)); double resultDouble = stat.getMean(); BigDecimal result = new BigDecimal(resultDouble, mc); resultMap.put(well, result); } for (WellBigDecimal 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.microflexdouble.stat.PopulationVarianceTest.java
/** * Tests the aggregated plate statistics method. *///from w w w. jav a 2 s . c o m @Test public void testAggregatedPlate() { for (Plate plate : array) { List<Double> resultList = new ArrayList<Double>(); double aggregatedReturned = Precision.round(variance.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.getPopulationVariance(), precision); assertTrue(resultAggregated == aggregatedReturned); } }
From source file:com.github.jessemull.microflexinteger.stat.PopulationVarianceTest.java
/** * Tests the aggregated plate statistics method. *//*w ww . j a v a 2s . c om*/ @Test public void testAggregatedPlate() { for (Plate plate : array) { List<Double> resultList = new ArrayList<Double>(); double aggregatedReturned = Precision.round(variance.platesAggregated(plate), precision); for (Well well : plate) { 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 resultAggregated = Precision.round(statAggregated.getPopulationVariance(), precision); assertTrue(resultAggregated == aggregatedReturned); } }
From source file:com.github.jessemull.microflex.stat.statbigdecimal.SumOfSquaresBigDecimalWeightsTest.java
/** * Tests the plate statistics method using the values between the indices. *//*from w w w . ja va2 s.c o m*/ @Test public void testPlateIndices() { for (PlateBigDecimal plate : arrayIndices) { int begin = random.nextInt(plate.first().size() - 4); int end = begin + random.nextInt(3) + 3; Map<WellBigDecimal, BigDecimal> resultMap = new TreeMap<WellBigDecimal, BigDecimal>(); Map<WellBigDecimal, BigDecimal> returnedMap = sum.plate(plate, ArrayUtils.subarray(weightsIndices, begin, end), begin, end - begin, mc); for (WellBigDecimal well : plate) { double[] input = new double[well.size()]; int index = 0; for (BigDecimal bd : well) { input[index] = bd.doubleValue() * weightsIndices[index]; index++; } DescriptiveStatistics stat = new DescriptiveStatistics(ArrayUtils.subarray(input, begin, end)); double resultDouble = stat.getSumsq(); BigDecimal result = new BigDecimal(resultDouble, mc); resultMap.put(well, result); } for (WellBigDecimal 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.vsthost.rnd.commons.math.ext.linear.EMatrixUtils.java
/** * Returns the standard deviations of rows. * * @param matrix The matrix of which the standard deviations of rows to be computed * @return A double array of row standard deviations. *//* w w w.j a v a2 s . c om*/ public static double[] rowStdDevs(RealMatrix matrix) { double[] retval = new double[matrix.getRowDimension()]; for (int i = 0; i < retval.length; i++) { retval[i] = new DescriptiveStatistics(matrix.getRow(i)).getStandardDeviation(); } return retval; }