List of usage examples for org.apache.commons.math.stat.descriptive DescriptiveStatistics getMin
public double getMin()
From source file:org.matsim.contrib.socnetgen.sna.graph.io.PajekDegreeColorizer.java
public PajekDegreeColorizer(Graph g, boolean logScale) { super();//from w w w. ja va 2 s .c o m setLogScale(logScale); DescriptiveStatistics stats = Degree.getInstance().statistics(g.getVertices()); k_min = stats.getMin(); k_max = stats.getMax(); }
From source file:org.matsim.contrib.socnetgen.sna.graph.spatial.io.VertexDegreeColorizer.java
/** * Creates a colorizer which color spectrum is scaled to the degree * distribution of <tt>graph</tt>. * //from w w w . j a v a2 s . c om * @param graph * a graph */ public VertexDegreeColorizer(Graph graph) { Degree degree = Degree.getInstance(); DescriptiveStatistics distr = degree.statistics(graph.getVertices()); k_min = (int) distr.getMin(); k_max = (int) distr.getMax(); }
From source file:org.openehealth.ipf.commons.test.performance.processingtime.ProcessingTimeDescriptiveStatistics.java
/** * Returns statistical summary of all the data. * //ww w . java 2 s.c o m * @return a <code>StatisticalSummary</code> object */ @Override public StatisticalSummary getStatisticalSummaryByName(String name) { DescriptiveStatistics stats = statisticsByMeasurementName.get(name); return new StatisticalSummaryValues(stats.getMean(), stats.getVariance(), stats.getN(), stats.getMax(), stats.getMin(), stats.getSum()); }
From source file:org.processmining.analysis.performance.dottedchart.ui.MetricsPanel.java
/** * Displays the performance metrics of each pattern on the east side of the * plug-in window./* www.ja v a 2 s. c o m*/ * * @param sortedArray * int[] */ public void displayPerformanceMetrics() { String type = dcPanel.getTimeOption(); ArrayList<DescriptiveStatistics> aList = dcModel.getTimeStatistics(); ArrayList<String> aTitles = dcModel.getDescriptiveStatisticsTitles(); ArrayList<String> sortedTitleList = dcModel.getSortedKeySetList(); this.removeAll(); this.setLayout(new BoxLayout(this, BoxLayout.Y_AXIS)); // add time option menu this.add(Box.createRigidArea(new Dimension(5, 10))); JPanel menuPanel = new JPanel(new BorderLayout()); menuPanel.setPreferredSize(new Dimension(160, 45)); menuPanel.setMaximumSize(new Dimension(180, 45)); timeSortLabel.setAlignmentX(LEFT_ALIGNMENT); menuPanel.add(timeSortLabel, BorderLayout.NORTH); timeBox.setMaximumSize(new Dimension(160, 20)); timeBox.setAlignmentX(LEFT_ALIGNMENT); menuPanel.add(Box.createRigidArea(new Dimension(5, 0))); menuPanel.add(timeBox, BorderLayout.CENTER); this.add(menuPanel); this.add(Box.createRigidArea(new Dimension(5, 10))); // for each frequency get the set of patterns that have that frequency // (run from high frequency to low) int size = 0; for (int i = 0; i < aList.size(); i++) { try { String key; DescriptiveStatistics currentDS = null; if (i != 0) key = sortedTitleList.get(i - 1); else { key = aTitles.get(0); currentDS = aList.get(i); } if (i > 0 && dcModel.getTypeHashMap().equals(DottedChartPanel.ST_INST) && !dcModel.getInstanceTypeToKeep().contains(key)) continue; size++; if (i > 0) { for (int j = 1; j < aTitles.size(); j++) { if (aTitles.get(j).equals(key)) currentDS = aList.get(j); } } AbstractTableModel otm; // create labels that contains information about the pattern if (i == 0) otm = new OverallMetricTableModel(); else otm = new OneMetricTableModel(); DefaultTableCellRenderer dtcr = new DefaultTableCellRenderer(); dtcr.setBackground(new Color(235, 235, 235)); JTable table = new JTable(otm); table.setPreferredSize(new Dimension(200, 55)); table.setMaximumSize(new Dimension(200, 55)); table.getColumnModel().getColumn(0).setPreferredWidth(70); table.getColumnModel().getColumn(0).setMaxWidth(100); table.getTableHeader().setFont(new Font("SansSerif", Font.PLAIN, 12)); table.getColumnModel().getColumn(0).setCellRenderer(dtcr); table.setBorder(BorderFactory.createEtchedBorder()); // place throughput times in table if (type.equals(DottedChartPanel.TIME_ACTUAL)) { if (i == 0) { table.setValueAt(DateFormat.getInstance().format(dcModel.getLogBoundaryLeft()), 0, 1); table.setValueAt(DateFormat.getInstance().format(dcModel.getLogBoundaryRight()), 1, 1); } else { table.setValueAt(DateFormat.getInstance().format(dcModel.getStartDateofLogUniList(key)), 0, 1); table.setValueAt(DateFormat.getInstance().format(dcModel.getEndDateofLogUniList(key)), 1, 1); } table.setValueAt(formatString(currentDS.getMean() / timeDivider, 5), 2, 1); table.setValueAt(formatString(currentDS.getMin() / timeDivider, 5), 3, 1); table.setValueAt(formatString(currentDS.getMax() / timeDivider, 5), 4, 1); } else if (type.equals(DottedChartPanel.TIME_RELATIVE_TIME)) { if (i == 0) { table.setValueAt(formatDate(dcModel.getLogBoundaryLeft()), 0, 1); table.setValueAt(formatDate(dcModel.getLogBoundaryRight()), 1, 1); } else { table.setValueAt(formatDate(dcModel.getStartDateofLogUniList(key)), 0, 1); table.setValueAt(formatDate(dcModel.getEndDateofLogUniList(key)), 1, 1); } table.setValueAt(formatString(currentDS.getMean() / timeDivider, 5), 2, 1); table.setValueAt(formatString(currentDS.getMin() / timeDivider, 5), 3, 1); table.setValueAt(formatString(currentDS.getMax() / timeDivider, 5), 4, 1); } else if (type.equals(DottedChartPanel.TIME_RELATIVE_RATIO)) { if (i == 0) { table.setValueAt(formatRatio(dcModel.getLogBoundaryLeft()), 0, 1); table.setValueAt(formatRatio(dcModel.getLogBoundaryRight()), 1, 1); } else { table.setValueAt(formatRatio(dcModel.getStartDateofLogUniList(key)), 0, 1); table.setValueAt(formatRatio(dcModel.getEndDateofLogUniList(key)), 1, 1); } table.setValueAt(formatString(currentDS.getMean() / 100, 5), 2, 1); table.setValueAt(formatString(currentDS.getMin() / 100, 5), 3, 1); table.setValueAt(formatString(currentDS.getMax() / 100, 5), 4, 1); } else if (type.equals(DottedChartPanel.TIME_LOGICAL) || type.equals(DottedChartPanel.TIME_LOGICAL_RELATIVE)) { if (i == 0) { table.setValueAt(formatString(dcModel.getLogBoundaryLeft().getTime(), 5), 0, 1); table.setValueAt(formatString(dcModel.getLogBoundaryRight().getTime(), 5), 1, 1); } else { table.setValueAt(formatString((dcModel.getStartDateofLogUniList(key)).getTime(), 5), 0, 1); table.setValueAt(formatString((dcModel.getEndDateofLogUniList(key)).getTime(), 5), 1, 1); } table.setValueAt(formatString(currentDS.getMean(), 5), 2, 1); table.setValueAt(formatString(currentDS.getMin(), 5), 3, 1); table.setValueAt(formatString(currentDS.getMax(), 5), 4, 1); } JPanel tempPanel = new JPanel(new BorderLayout()); table.setAlignmentX(CENTER_ALIGNMENT); tempPanel.setPreferredSize(new Dimension(160, 98)); tempPanel.setMaximumSize(new Dimension(180, 98)); tempPanel.add(table.getTableHeader(), BorderLayout.NORTH); tempPanel.add(table, BorderLayout.CENTER); JPanel tempPanel2 = new JPanel(new BorderLayout()); JLabel patternLabel = new JLabel("Component " + key + ":"); patternLabel.setAlignmentX(LEFT_ALIGNMENT); JLabel frequencyLabel = null; if (i == 0) frequencyLabel = new JLabel("# of components: " + currentDS.getN()); else frequencyLabel = new JLabel("# of dots: " + dcModel.getNumberOfLogUnits(key)); frequencyLabel.setAlignmentX(LEFT_ALIGNMENT); frequencyLabel.setFont(new Font("SansSerif", Font.PLAIN, 12)); tempPanel2.add(patternLabel, BorderLayout.NORTH); tempPanel2.add(frequencyLabel, BorderLayout.CENTER); tempPanel2.add(tempPanel, BorderLayout.SOUTH); this.add(tempPanel2); this.add(Box.createRigidArea(new Dimension(5, 10))); } catch (NullPointerException ex) { // can occur when patternMap does not contain a pattern with // this frequency size--; } } // make sure the pattern performance information is displayed properly this.setPreferredSize(new Dimension(200, 140 * (size + 1))); this.revalidate(); this.repaint(); }
From source file:org.processmining.analysis.performance.fsmanalysis.FSMPerformanceAnalysisUI.java
protected double getData(DescriptiveStatistics ds) { String sort = (String) measureSort.getValue(); if (sort.equals("Minimum")) { return ds.getMin(); } else if (sort.equals("Average")) { return (ds.getMean()); } else if (sort.equals("Median")) { return (ds.getPercentile(50)); } else if (sort.equals("Maximum")) { return (ds.getMax()); } else if (sort.equals("Sum")) { return (ds.getSum()); } else if (sort.equals("StandDev")) { return (ds.getStandardDeviation()); } else if (sort.equals("Variance")) { return (ds.getStandardDeviation() * ds.getStandardDeviation()); } else if (sort.equals("Frequency")) { return (ds.getN()); }/*from w ww . j av a 2 s.c om*/ return 0.0; }
From source file:org.prom5.analysis.performance.dottedchart.ui.MetricsPanel.java
/** * Displays the performance metrics of each pattern on the east side of the * plug-in window./*w w w . j a v a2 s . c o m*/ * @param sortedArray int[] */ public void displayPerformanceMetrics() { String type = dcPanel.getTimeOption(); ArrayList<DescriptiveStatistics> aList = dcModel.getTimeStatistics(); ArrayList<String> aTitles = dcModel.getDescriptiveStatisticsTitles(); ArrayList<String> sortedTitleList = dcModel.getSortedKeySetList(); this.removeAll(); this.setLayout(new BoxLayout(this, BoxLayout.Y_AXIS)); //add time option menu this.add(Box.createRigidArea(new Dimension(5, 10))); JPanel menuPanel = new JPanel(new BorderLayout()); menuPanel.setPreferredSize(new Dimension(160, 45)); menuPanel.setMaximumSize(new Dimension(180, 45)); timeSortLabel.setAlignmentX(LEFT_ALIGNMENT); menuPanel.add(timeSortLabel, BorderLayout.NORTH); timeBox.setMaximumSize(new Dimension(160, 20)); timeBox.setAlignmentX(LEFT_ALIGNMENT); menuPanel.add(Box.createRigidArea(new Dimension(5, 0))); menuPanel.add(timeBox, BorderLayout.CENTER); this.add(menuPanel); this.add(Box.createRigidArea(new Dimension(5, 10))); //for each frequency get the set of patterns that have that frequency //(run from high frequency to low) int size = 0; for (int i = 0; i < aList.size(); i++) { try { String key; DescriptiveStatistics currentDS = null; if (i != 0) key = sortedTitleList.get(i - 1); else { key = aTitles.get(0); currentDS = aList.get(i); } if (i > 0 && dcModel.getTypeHashMap().equals(DottedChartPanel.ST_INST) && !dcModel.getInstanceTypeToKeep().contains(key)) continue; size++; if (i > 0) { for (int j = 1; j < aTitles.size(); j++) { if (aTitles.get(j).equals(key)) currentDS = aList.get(j); } } AbstractTableModel otm; //create labels that contains information about the pattern if (i == 0) otm = new OverallMetricTableModel(); else otm = new OneMetricTableModel(); DefaultTableCellRenderer dtcr = new DefaultTableCellRenderer(); dtcr.setBackground(new Color(235, 235, 235)); JTable table = new JTable(otm); table.setPreferredSize(new Dimension(200, 55)); table.setMaximumSize(new Dimension(200, 55)); table.getColumnModel().getColumn(0).setPreferredWidth(70); table.getColumnModel().getColumn(0).setMaxWidth(100); table.getTableHeader().setFont(new Font("SansSerif", Font.PLAIN, 12)); table.getColumnModel().getColumn(0).setCellRenderer(dtcr); table.setBorder(BorderFactory.createEtchedBorder()); //place throughput times in table if (type.equals(DottedChartPanel.TIME_ACTUAL)) { if (i == 0) { table.setValueAt(DateFormat.getInstance().format(dcModel.getLogBoundaryLeft()), 0, 1); table.setValueAt(DateFormat.getInstance().format(dcModel.getLogBoundaryRight()), 1, 1); } else { table.setValueAt(DateFormat.getInstance().format(dcModel.getStartDateofLogUniList(key)), 0, 1); table.setValueAt(DateFormat.getInstance().format(dcModel.getEndDateofLogUniList(key)), 1, 1); } table.setValueAt(formatString(currentDS.getMean() / timeDivider, 5), 2, 1); table.setValueAt(formatString(currentDS.getMin() / timeDivider, 5), 3, 1); table.setValueAt(formatString(currentDS.getMax() / timeDivider, 5), 4, 1); } else if (type.equals(DottedChartPanel.TIME_RELATIVE_TIME)) { if (i == 0) { table.setValueAt(formatDate(dcModel.getLogBoundaryLeft()), 0, 1); table.setValueAt(formatDate(dcModel.getLogBoundaryRight()), 1, 1); } else { table.setValueAt(formatDate(dcModel.getStartDateofLogUniList(key)), 0, 1); table.setValueAt(formatDate(dcModel.getEndDateofLogUniList(key)), 1, 1); } table.setValueAt(formatString(currentDS.getMean() / timeDivider, 5), 2, 1); table.setValueAt(formatString(currentDS.getMin() / timeDivider, 5), 3, 1); table.setValueAt(formatString(currentDS.getMax() / timeDivider, 5), 4, 1); } else if (type.equals(DottedChartPanel.TIME_RELATIVE_RATIO)) { if (i == 0) { table.setValueAt(formatRatio(dcModel.getLogBoundaryLeft()), 0, 1); table.setValueAt(formatRatio(dcModel.getLogBoundaryRight()), 1, 1); } else { table.setValueAt(formatRatio(dcModel.getStartDateofLogUniList(key)), 0, 1); table.setValueAt(formatRatio(dcModel.getEndDateofLogUniList(key)), 1, 1); } table.setValueAt(formatString(currentDS.getMean() / 100, 5), 2, 1); table.setValueAt(formatString(currentDS.getMin() / 100, 5), 3, 1); table.setValueAt(formatString(currentDS.getMax() / 100, 5), 4, 1); } else if (type.equals(DottedChartPanel.TIME_LOGICAL) || type.equals(DottedChartPanel.TIME_LOGICAL_RELATIVE)) { if (i == 0) { table.setValueAt(formatString(dcModel.getLogBoundaryLeft().getTime(), 5), 0, 1); table.setValueAt(formatString(dcModel.getLogBoundaryRight().getTime(), 5), 1, 1); } else { table.setValueAt(formatString((dcModel.getStartDateofLogUniList(key)).getTime(), 5), 0, 1); table.setValueAt(formatString((dcModel.getEndDateofLogUniList(key)).getTime(), 5), 1, 1); } table.setValueAt(formatString(currentDS.getMean(), 5), 2, 1); table.setValueAt(formatString(currentDS.getMin(), 5), 3, 1); table.setValueAt(formatString(currentDS.getMax(), 5), 4, 1); } JPanel tempPanel = new JPanel(new BorderLayout()); table.setAlignmentX(CENTER_ALIGNMENT); tempPanel.setPreferredSize(new Dimension(160, 98)); tempPanel.setMaximumSize(new Dimension(180, 98)); tempPanel.add(table.getTableHeader(), BorderLayout.NORTH); tempPanel.add(table, BorderLayout.CENTER); JPanel tempPanel2 = new JPanel(new BorderLayout()); JLabel patternLabel = new JLabel("Component " + key + ":"); patternLabel.setAlignmentX(LEFT_ALIGNMENT); JLabel frequencyLabel = null; if (i == 0) frequencyLabel = new JLabel("# of components: " + currentDS.getN()); else frequencyLabel = new JLabel("# of dots: " + dcModel.getNumberOfLogUnits(key)); frequencyLabel.setAlignmentX(LEFT_ALIGNMENT); frequencyLabel.setFont(new Font("SansSerif", Font.PLAIN, 12)); tempPanel2.add(patternLabel, BorderLayout.NORTH); tempPanel2.add(frequencyLabel, BorderLayout.CENTER); tempPanel2.add(tempPanel, BorderLayout.SOUTH); this.add(tempPanel2); this.add(Box.createRigidArea(new Dimension(5, 10))); } catch (NullPointerException ex) { //can occur when patternMap does not contain a pattern with this frequency size--; } } //make sure the pattern performance information is displayed properly this.setPreferredSize(new Dimension(200, 140 * (size + 1))); this.revalidate(); this.repaint(); }
From source file:org.tellervo.desktop.graph.SkeletonPlot.java
private Integer getSkeletonCategoryFromCropper1979(Integer value, DescriptiveStatistics windowStats, Double criticalLevel) {//from w w w .j a v a 2 s . c o m Integer skeletonCategory = 0; if (criticalLevel == null) criticalLevel = 0.5; double mean = windowStats.getMean(); double stdev = windowStats.getStandardDeviation(); double smallRingThreshold = mean - (stdev * criticalLevel); int min = (int) windowStats.getMin(); if (value == min) { skeletonCategory = 10; } else if (value > smallRingThreshold) { skeletonCategory = 0; } else { Integer range = (int) (smallRingThreshold - min); Integer categoryStepSize = range / 10; skeletonCategory = (int) (0 - ((value - smallRingThreshold) / categoryStepSize)); } return skeletonCategory; }
From source file:org.tellervo.desktop.graph.SkeletonPlot.java
private Integer getSkeletonCategoryFromPercentiles(Integer value, DescriptiveStatistics windowStats) { Integer skeletonCategory = 0; // Calculate skeleton category if (value == (int) windowStats.getMin()) { skeletonCategory = 10;/*from w ww . j a v a2 s.c om*/ } else if (value < windowStats.getPercentile(10)) { skeletonCategory = 9; } else if (value < windowStats.getPercentile(15)) { skeletonCategory = 8; } else if (value < windowStats.getPercentile(20)) { skeletonCategory = 7; } else if (value < windowStats.getPercentile(25)) { skeletonCategory = 6; } else if (value < windowStats.getPercentile(30)) { skeletonCategory = 5; } else if (value < windowStats.getPercentile(35)) { skeletonCategory = 4; } else if (value < windowStats.getPercentile(40)) { skeletonCategory = 3; } else if (value < windowStats.getPercentile(45)) { skeletonCategory = 2; } else if (value < windowStats.getPercentile(50)) { skeletonCategory = 1; } return skeletonCategory; }
From source file:playground.johannes.gsv.analysis.CountsCompareAnalyzer.java
@Override public void notifyAfterMobsim(AfterMobsimEvent event) { Network network = event.getControler().getScenario().getNetwork(); DescriptiveStatistics error = new DescriptiveStatistics(); DescriptiveStatistics errorAbs = new DescriptiveStatistics(); DescriptivePiStatistics errorWeighted = new WSMStatsFactory().newInstance(); TDoubleArrayList errorVals = new TDoubleArrayList(); TDoubleArrayList caps = new TDoubleArrayList(); TDoubleArrayList speeds = new TDoubleArrayList(); for (Count count : counts.getCounts().values()) { if (!count.getLocId().toString().startsWith(ODCalibrator.VIRTUAL_ID_PREFIX)) { double obsVal = 0; for (int i = 1; i < 25; i++) { obsVal += count.getVolume(i).getValue(); }/*w w w . j a va 2s . c om*/ if (obsVal > 0) { double simVal = calculator.getOccupancy(count.getLocId()); simVal *= factor; double err = (simVal - obsVal) / obsVal; error.addValue(err); errorAbs.addValue(Math.abs(err)); errorWeighted.addValue(Math.abs(err), 1 / obsVal); Link link = network.getLinks().get(count.getLocId()); errorVals.add(Math.abs(err)); caps.add(link.getCapacity()); speeds.add(link.getFreespeed()); } } } logger.info(String.format("Relative counts error: mean = %s, var = %s, stderr = %s, min = %s, max = %s", error.getMean(), error.getVariance(), error.getStandardDeviation(), error.getMin(), error.getMax())); logger.info(String.format( "Absolute relative counts error: mean = %s, var = %s, stderr = %s, min = %s, max = %s", errorAbs.getMean(), errorAbs.getVariance(), errorAbs.getStandardDeviation(), errorAbs.getMin(), errorAbs.getMax())); logger.info(String.format( "Absolute weigthed relative counts error: mean = %s, var = %s, stderr = %s, min = %s, max = %s", errorWeighted.getMean(), errorWeighted.getVariance(), errorWeighted.getStandardDeviation(), errorWeighted.getMin(), errorWeighted.getMax())); String outdir = event.getControler().getControlerIO().getIterationPath(event.getIteration()); try { TDoubleDoubleHashMap map = Correlations.mean(caps.toNativeArray(), errorVals.toNativeArray()); TXTWriter.writeMap(map, "capacity", "counts", String.format("%s/countsError.capacity.txt", outdir)); map = Correlations.mean(speeds.toNativeArray(), errorVals.toNativeArray()); TXTWriter.writeMap(map, "speed", "counts", String.format("%s/countsError.speed.txt", outdir)); TXTWriter.writeMap(Histogram.createHistogram(error, new LinearDiscretizer(0.1), false), "Error", "Frequency", String.format("%s/countsError.hist.txt", outdir)); TXTWriter.writeMap(Histogram.createHistogram(errorAbs, new LinearDiscretizer(0.1), false), "Error (absolute)", "Frequency", String.format("%s/countsErrorAbs.hist.txt", outdir)); TXTWriter.writeMap(Histogram.createHistogram(errorWeighted, new LinearDiscretizer(0.1), true), "Error (weighted)", "Frequency", String.format("%s/countsErrorWeighted.hist.txt", outdir)); CountsCompare2GeoJSON.write(calculator, counts, factor, network, outdir); NetworkLoad2GeoJSON.write(event.getControler().getScenario().getNetwork(), calculator, factor, outdir + "/network.json"); } catch (IOException e) { e.printStackTrace(); } String rootOutDir = event.getControler().getControlerIO().getOutputPath(); boolean append = false; if (event.getIteration() > 0) { append = true; } writeErrorFile(error, String.format("%s/countsError.txt", rootOutDir), append); writeErrorFile(errorAbs, String.format("%s/countsAbsError.txt", rootOutDir), append); }
From source file:playground.johannes.gsv.analysis.CountsCompareAnalyzer.java
private void writeErrorFile(DescriptiveStatistics error, String file, boolean append) { try {//from www . j av a2 s . co m BufferedWriter writer = new BufferedWriter(new FileWriter(file, append)); if (!append) { // write header writer.write("mean\tvar\tstderr\tmin\tmax"); writer.newLine(); } writer.write(String.valueOf(error.getMean())); writer.write("\t"); writer.write(String.valueOf(error.getVariance())); writer.write("\t"); writer.write(String.valueOf(error.getStandardDeviation())); writer.write("\t"); writer.write(String.valueOf(error.getMin())); writer.write("\t"); writer.write(String.valueOf(error.getMax())); writer.newLine(); writer.close(); } catch (IOException e) { e.printStackTrace(); } }