Mercurial > dive4elements > gnv-client

comparison gnv-artifacts/src/main/java/de/intevation/gnv/statistics/TimeseriesStatistics.java @ 95:13402ac8d8fe

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Put the Statisticscalulation to the Outmethod of the OutputTransition. gnv-artifacts/trunk@140 c6561f87-3c4e-4783-a992-168aeb5c3f6f
author Tim Englich <tim.englich@intevation.de>
date Mon, 28 Sep 2009 08:20:28 +0000
parents 6a825a184883
children fce237b6fdb8
comparison
equal deleted inserted replaced
94:6a825a184883 95:13402ac8d8fe
44 public class TimeseriesStatistics implements Statistics { 44 public class TimeseriesStatistics implements Statistics {
45 45
46 /** 46 /**
47 * Default Logging instance 47 * Default Logging instance
48 */ 48 */
49 private static Logger sLogger = Logger.getLogger(TimeseriesStatistics.class); 49 private static Logger log = Logger.getLogger(TimeseriesStatistics.class);
50 private static boolean sDebug = sLogger.isDebugEnabled(); 50 private static boolean sDebug = log.isDebugEnabled();
51 51
52 private Statistic[] mStatistics = null; 52 private Collection<Statistic> statistics = null;
53 53
54 54 public TimeseriesStatistics(){
55 public TimeseriesStatistics(Collection<Result> resultSet) throws StatisticsException { 55 super();
56 }
57
58 public Collection<Statistic> calculateStatistics(Collection<Result> resultSet) throws StatisticsException {
56 DescriptiveStatistics lStatistics = null; 59 DescriptiveStatistics lStatistics = null;
57 SimpleRegression lRegression = null; 60 SimpleRegression lRegression = null;
58 ArrayList<Statistic> lStats = new ArrayList<Statistic>(); 61 statistics = new ArrayList<Statistic>();
59 int break1, break2; 62 int break1, break2;
60 int lSeries = 1; 63 int lSeries = 1;
61 if (sDebug) sLogger.debug("TimeseriesStatistics() lImageFile != null"); 64 if (sDebug) log.debug("TimeseriesStatistics() lImageFile != null");
62 try{ 65 try{
63 66
64 Iterator<Result> resultIterator = resultSet.iterator(); 67 Iterator<Result> resultIterator = resultSet.iterator();
65 if (resultIterator.hasNext()){ 68 if (resultIterator.hasNext()){
66 Result row = resultIterator.next(); 69 Result row = resultIterator.next();
70 lStatistics = DescriptiveStatistics.newInstance(); 73 lStatistics = DescriptiveStatistics.newInstance();
71 while (resultIterator.hasNext()) { 74 while (resultIterator.hasNext()) {
72 75
73 if (break1 != row.getInteger("GROUP1") 76 if (break1 != row.getInteger("GROUP1")
74 || break2 != row.getInteger("GROUP2")) { 77 || break2 != row.getInteger("GROUP2")) {
75 //lStatistics = createDescriptiveStatisticsObject(pResults,mStart,mEnd); 78
76 //lRegression = createSimpleRegressionObject(pResults,mStart,mEnd); 79 addStatisticsValues(lStatistics, lRegression, lSeries);
77
78 addStatisticsValues(lStatistics, lRegression, lStats, lSeries);
79 80
80 lStatistics.clear(); 81 lStatistics.clear();
81 lRegression.clear(); 82 lRegression.clear();
82 83
83 row = resultIterator.next(); 84 row = resultIterator.next();
95 Double x = new Double( (row.getDate("XORDINATE")).getTime()/1000/3600) ; 96 Double x = new Double( (row.getDate("XORDINATE")).getTime()/1000/3600) ;
96 lRegression.addData(x,row.getDouble("YORDINATE")); 97 lRegression.addData(x,row.getDouble("YORDINATE"));
97 } 98 }
98 99
99 } 100 }
100 addStatisticsValues(lStatistics, lRegression, lStats, lSeries); 101 addStatisticsValues(lStatistics, lRegression,lSeries);
101 lStatistics.clear(); 102 lStatistics.clear();
102 lRegression.clear(); 103 lRegression.clear();
103 mStatistics = new Statistic[lStats.size()];
104 mStatistics = lStats.toArray(mStatistics);
105 } 104 }
106 } 105 }
107 catch (Exception e){ 106 catch (Exception e){
108 sLogger.error(e.getMessage(), e); 107 log.error(e.getMessage(), e);
109 } 108 }
109
110 return statistics;
110 } 111 }
112
111 /** 113 /**
112 * @param lStatistics 114 * @param lStatistics
113 * @param lRegression 115 * @param lRegression
114 * @param lStats 116 * @param lStats
115 * @param lSeries 117 * @param lSeries
116 */ 118 */
117 private void addStatisticsValues(DescriptiveStatistics lStatistics, 119 private void addStatisticsValues(DescriptiveStatistics lStatistics,
118 SimpleRegression lRegression, ArrayList<Statistic> lStats, 120 SimpleRegression lRegression, int lSeries) {
119 int lSeries) { 121 statistics.add(new Statistic("gnviewer.statistics.series",(double)lSeries));
120 lStats.add(new Statistic("gnviewer.statistics.series",(double)lSeries)); 122 statistics.add(new Statistic("gnviewer.statistics.descriptive.arithmeticMean", lStatistics.getMean()));
121 lStats.add(new Statistic("gnviewer.statistics.descriptive.arithmeticMean", lStatistics.getMean())); 123 statistics.add(new Statistic("gnviewer.statistics.descriptive.kurtosis", lStatistics.getKurtosis()));
122 lStats.add(new Statistic("gnviewer.statistics.descriptive.kurtosis", lStatistics.getKurtosis())); 124 statistics.add(new Statistic("gnviewer.statistics.descriptive.max", lStatistics.getMax()));
123 lStats.add(new Statistic("gnviewer.statistics.descriptive.max", lStatistics.getMax())); 125 statistics.add(new Statistic("gnviewer.statistics.descriptive.min", lStatistics.getMin()));
124 lStats.add(new Statistic("gnviewer.statistics.descriptive.min", lStatistics.getMin())); 126 statistics.add(new Statistic("gnviewer.statistics.descriptive.n", lStatistics.getN()));
125 lStats.add(new Statistic("gnviewer.statistics.descriptive.n", lStatistics.getN())); 127 statistics.add(new Statistic("gnviewer.statistics.descriptive.percentile.90", lStatistics.getPercentile(90)));
126 lStats.add(new Statistic("gnviewer.statistics.descriptive.percentile.90", lStatistics.getPercentile(90))); 128 statistics.add(new Statistic("gnviewer.statistics.descriptive.percentile.75", lStatistics.getPercentile(75)));
127 lStats.add(new Statistic("gnviewer.statistics.descriptive.percentile.75", lStatistics.getPercentile(75))); 129 statistics.add(new Statistic("gnviewer.statistics.descriptive.percentile.50", lStatistics.getPercentile(50)));
128 lStats.add(new Statistic("gnviewer.statistics.descriptive.percentile.50", lStatistics.getPercentile(50))); 130 statistics.add(new Statistic("gnviewer.statistics.descriptive.percentile.10", lStatistics.getPercentile(10)));
129 lStats.add(new Statistic("gnviewer.statistics.descriptive.percentile.10", lStatistics.getPercentile(10))); 131 statistics.add(new Statistic("gnviewer.statistics.descriptive.deviation", lStatistics.getStandardDeviation()));
130 lStats.add(new Statistic("gnviewer.statistics.descriptive.deviation", lStatistics.getStandardDeviation())); 132 statistics.add(new Statistic("gnviewer.statistics.descriptive.variance", lStatistics.getVariance()));
131 lStats.add(new Statistic("gnviewer.statistics.descriptive.variance", lStatistics.getVariance())); 133 statistics.add(new Statistic("gnviewer.statistics.descriptive.intercept", lRegression.getIntercept()));
132 lStats.add(new Statistic("gnviewer.statistics.descriptive.intercept", lRegression.getIntercept())); 134 statistics.add(new Statistic("gnviewer.statistics.descriptive.slope", lRegression.getSlope()));
133 lStats.add(new Statistic("gnviewer.statistics.descriptive.slope", lRegression.getSlope()));
134 } 135 }
135
136 /**
137 *
138 * @return
139 */
140 public Statistic[] getStatistics() {
141 return mStatistics;
142 }
143 } 136 }
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