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agomez |
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#include "catchstatistics.h" |
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#include "readfunc.h" |
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#include "readword.h" |
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#include "errorhandler.h" |
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#include "areatime.h" |
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#include "fleet.h" |
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#include "stock.h" |
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#include "stockprey.h" |
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#include "mathfunc.h" |
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#include "readaggregation.h" |
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#include "gadget.h" |
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#include "global.h" |
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CatchStatistics::CatchStatistics(CommentStream& infile, const AreaClass* const Area,
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const TimeClass* const TimeInfo, double weight, const char* name)
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: Likelihood(CATCHSTATISTICSLIKELIHOOD, weight, name), alptr(0) {
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char text[MaxStrLength];
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strncpy(text, "", MaxStrLength);
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int i, j;
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int numarea = 0, numage = 0;
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char datafilename[MaxStrLength];
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char aggfilename[MaxStrLength];
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strncpy(datafilename, "", MaxStrLength);
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strncpy(aggfilename, "", MaxStrLength);
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ifstream datafile;
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CommentStream subdata(datafile);
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timeindex = 0;
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functionname = new char[MaxStrLength];
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strncpy(functionname, "", MaxStrLength);
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readWordAndValue(infile, "datafile", datafilename);
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readWordAndValue(infile, "function", functionname);
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//JMB - changed to make the reading of overconsumption optional
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infile >> ws;
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char c = infile.peek();
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if ((c == 'o') || (c == 'O'))
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readWordAndVariable(infile, "overconsumption", overconsumption);
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else
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overconsumption = 0;
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if (overconsumption != 0 && overconsumption != 1)
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handle.logFileMessage(LOGFAIL, "\nError in catchstatistics - overconsumption must be 0 or 1");
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if ((strcasecmp(functionname, "lengthcalcvar") == 0) || (strcasecmp(functionname, "lengthcalcstddev") == 0))
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functionnumber = 1;
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else if ((strcasecmp(functionname, "lengthgivenvar") == 0) || (strcasecmp(functionname, "lengthgivenstddev") == 0))
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functionnumber = 2;
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else if ((strcasecmp(functionname, "weightgivenvar") == 0) || (strcasecmp(functionname, "weightgivenstddev") == 0))
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functionnumber = 3;
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else if ((strcasecmp(functionname, "weightnovar") == 0) || (strcasecmp(functionname, "weightnostddev") == 0))
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functionnumber = 4;
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else if ((strcasecmp(functionname, "lengthnovar") == 0) || (strcasecmp(functionname, "lengthnostddev") == 0))
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functionnumber = 5;
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else
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handle.logFileMessage(LOGFAIL, "\nError in catchstatistics - unrecognised function", functionname);
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//read in area aggregation from file
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readWordAndValue(infile, "areaaggfile", aggfilename);
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datafile.open(aggfilename, ios::in);
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handle.checkIfFailure(datafile, aggfilename);
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handle.Open(aggfilename);
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numarea = readAggregation(subdata, areas, areaindex);
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handle.Close();
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datafile.close();
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datafile.clear();
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//read in age aggregation from file
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readWordAndValue(infile, "ageaggfile", aggfilename);
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datafile.open(aggfilename, ios::in);
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handle.checkIfFailure(datafile, aggfilename);
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handle.Open(aggfilename);
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numage = readAggregation(subdata, ages, ageindex);
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handle.Close();
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datafile.close();
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datafile.clear();
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//Must change from outer areas to inner areas.
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for (i = 0; i < areas.Nrow(); i++)
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for (j = 0; j < areas.Ncol(i); j++)
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areas[i][j] = Area->getInnerArea(areas[i][j]);
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//read in the fleetnames
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i = 0;
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infile >> text >> ws;
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if (strcasecmp(text, "fleetnames") != 0)
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handle.logFileUnexpected(LOGFAIL, "fleetnames", text);
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infile >> text >> ws;
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while (!infile.eof() && (strcasecmp(text, "stocknames") != 0)) {
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fleetnames.resize(new char[strlen(text) + 1]);
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strcpy(fleetnames[i++], text);
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infile >> text >> ws;
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}
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if (fleetnames.Size() == 0)
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handle.logFileMessage(LOGFAIL, "\nError in catchstatistics - failed to read fleets");
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handle.logMessage(LOGMESSAGE, "Read fleet data - number of fleets", fleetnames.Size());
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//read in the stocknames
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i = 0;
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if (strcasecmp(text, "stocknames") != 0)
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handle.logFileUnexpected(LOGFAIL, "stocknames", text);
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infile >> text;
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while (!infile.eof() && (strcasecmp(text, "[component]") != 0)) {
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infile >> ws;
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stocknames.resize(new char[strlen(text) + 1]);
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strcpy(stocknames[i++], text);
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infile >> text;
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}
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if (stocknames.Size() == 0)
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handle.logFileMessage(LOGFAIL, "\nError in catchstatistics - failed to read stocks");
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handle.logMessage(LOGMESSAGE, "Read stock data - number of stocks", stocknames.Size());
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//We have now read in all the data from the main likelihood file
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//But we have to read in the statistics data from datafilename
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datafile.open(datafilename, ios::in);
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handle.checkIfFailure(datafile, datafilename);
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handle.Open(datafilename);
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readStatisticsData(subdata, TimeInfo, numarea, numage);
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handle.Close();
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datafile.close();
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datafile.clear();
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}
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void CatchStatistics::readStatisticsData(CommentStream& infile,
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const TimeClass* TimeInfo, int numarea, int numage) {
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int i, year, step;
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double tmpnumber, tmpmean, tmpstddev;
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char tmparea[MaxStrLength], tmpage[MaxStrLength];
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strncpy(tmparea, "", MaxStrLength);
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strncpy(tmpage, "", MaxStrLength);
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int keepdata, needvar, readvar;
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int timeid, ageid, areaid, count, reject;
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readvar = 0;
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needvar = 0;
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switch (functionnumber) {
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case 1:
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readvar = 0;
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needvar = 1;
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break;
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case 2:
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case 3:
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readvar = 1;
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needvar = 1;
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break;
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case 4:
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case 5:
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break;
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default:
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handle.logMessage(LOGWARN, "Warning in catchstatistics - unrecognised function", functionname);
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break;
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}
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//Check the number of columns in the inputfile
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infile >> ws;
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if ((readvar) && (countColumns(infile) != 7))
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handle.logFileMessage(LOGFAIL, "wrong number of columns in inputfile - should be 7");
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else if ((!readvar) && (countColumns(infile) != 6))
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handle.logFileMessage(LOGFAIL, "wrong number of columns in inputfile - should be 6");
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year = step = count = reject = 0;
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while (!infile.eof()) {
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keepdata = 1;
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if (readvar)
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infile >> year >> step >> tmparea >> tmpage >> tmpnumber >> tmpmean >> tmpstddev >> ws;
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else
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infile >> year >> step >> tmparea >> tmpage >> tmpnumber >> tmpmean >> ws;
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//crude check to see if something has gone wrong and avoid infinite loops
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if (strlen(tmparea) == 0)
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handle.logFileMessage(LOGFAIL, "failed to read data from file");
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//if tmparea is in areaindex find areaid, else dont keep the data
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areaid = -1;
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for (i = 0; i < areaindex.Size(); i++)
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if (strcasecmp(areaindex[i], tmparea) == 0)
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areaid = i;
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if (areaid == -1)
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keepdata = 0;
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//if tmpage is in ageindex find ageid, else dont keep the data
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ageid = -1;
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for (i = 0; i < ageindex.Size(); i++)
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if (strcasecmp(ageindex[i], tmpage) == 0)
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ageid = i;
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if (ageid == -1)
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keepdata = 0;
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| 192 : |
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//check if the year and step are in the simulation
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timeid = -1;
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if ((TimeInfo->isWithinPeriod(year, step)) && (keepdata == 1)) {
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//if this is a new timestep, resize to store the data
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for (i = 0; i < Years.Size(); i++)
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if ((Years[i] == year) && (Steps[i] == step))
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timeid = i;
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if (timeid == -1) {
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Years.resize(1, year);
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Steps.resize(1, step);
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| 204 : |
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likelihoodValues.AddRows(1, numarea, 0.0);
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| 205 : |
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numbers.resize(new DoubleMatrix(numarea, numage, 0.0));
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| 206 : |
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obsMean.resize(new DoubleMatrix(numarea, numage, 0.0));
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| 207 : |
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modelMean.resize(new DoubleMatrix(numarea, numage, 0.0));
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| 208 : |
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if (readvar)
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obsStdDev.resize(new DoubleMatrix(numarea, numage, 0.0));
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| 210 : |
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if (needvar)
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| 211 : |
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modelStdDev.resize(new DoubleMatrix(numarea, numage, 0.0));
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| 212 : |
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timeid = (Years.Size() - 1);
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}
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} else
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| 216 : |
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keepdata = 0;
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| 217 : |
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| 218 : |
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if (keepdata == 1) {
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| 219 : |
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//statistics data is required, so store it
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| 220 : |
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count++;
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| 221 : |
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(*numbers[timeid])[areaid][ageid] = tmpnumber;
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| 222 : |
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(*obsMean[timeid])[areaid][ageid] = tmpmean;
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| 223 : |
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if (readvar)
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| 224 : |
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(*obsStdDev[timeid])[areaid][ageid] = tmpstddev;
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| 225 : |
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} else
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| 226 : |
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reject++; //count number of rejected data points read from file
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| 227 : |
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}
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| 228 : |
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| 229 : |
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AAT.addActions(Years, Steps, TimeInfo);
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| 230 : |
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if (count == 0)
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| 231 : |
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handle.logMessage(LOGWARN, "Warning in catchstatistics - found no data in the data file for", this->getName());
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| 232 : |
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if (reject != 0)
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handle.logMessage(LOGMESSAGE, "Discarded invalid catchstatistics data - number of invalid entries", reject);
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| 234 : |
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handle.logMessage(LOGMESSAGE, "Read catchstatistics data file - number of entries", count);
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}
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CatchStatistics::~CatchStatistics() {
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| 238 : |
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int i;
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| 239 : |
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for (i = 0; i < stocknames.Size(); i++)
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| 240 : |
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delete[] stocknames[i];
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| 241 : |
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for (i = 0; i < fleetnames.Size(); i++)
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| 242 : |
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delete[] fleetnames[i];
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| 243 : |
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for (i = 0; i < areaindex.Size(); i++)
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| 244 : |
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delete[] areaindex[i];
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| 245 : |
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for (i = 0; i < ageindex.Size(); i++)
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| 246 : |
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delete[] ageindex[i];
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| 247 : |
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delete aggregator;
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| 248 : |
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for (i = 0; i < numbers.Size(); i++) {
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| 249 : |
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delete numbers[i];
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| 250 : |
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delete obsMean[i];
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| 251 : |
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delete modelMean[i];
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| 252 : |
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}
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| 253 : |
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for (i = 0; i < obsStdDev.Size(); i++)
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| 254 : |
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delete obsStdDev[i];
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| 255 : |
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for (i = 0; i < modelStdDev.Size(); i++)
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| 256 : |
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delete modelStdDev[i];
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| 257 : |
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delete[] functionname;
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| 258 : |
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delete LgrpDiv;
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| 259 : |
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}
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| 260 : |
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| 261 : |
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void CatchStatistics::Reset(const Keeper* const keeper) {
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| 262 : |
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Likelihood::Reset(keeper);
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| 263 : |
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if (isZero(weight))
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| 264 : |
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handle.logMessage(LOGWARN, "Warning in catchstatistics - zero weight for", this->getName());
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| 265 : |
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int i;
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| 266 : |
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for (i = 0; i < modelMean.Size(); i++)
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| 267 : |
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(*modelMean[i]).setToZero();
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| 268 : |
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if (handle.getLogLevel() >= LOGMESSAGE)
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| 269 : |
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handle.logMessage(LOGMESSAGE, "Reset catchstatistics component", this->getName());
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| 270 : |
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}
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| 271 : |
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| 272 : |
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void CatchStatistics::Print(ofstream& outfile) const {
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| 273 : |
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int i;
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| 274 : |
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| 275 : |
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outfile << "\nCatch Statistics " << this->getName() << " - likelihood value " << likelihood
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| 276 : |
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<< "\n\tFunction " << functionname << "\n\tStock names:";
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| 277 : |
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for (i = 0; i < stocknames.Size(); i++)
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| 278 : |
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outfile << sep << stocknames[i];
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| 279 : |
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outfile << "\n\tFleet names:";
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| 280 : |
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for (i = 0; i < fleetnames.Size(); i++)
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| 281 : |
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outfile << sep << fleetnames[i];
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| 282 : |
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outfile << endl;
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| 283 : |
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aggregator->Print(outfile);
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| 284 : |
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outfile.flush();
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| 285 : |
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}
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| 286 : |
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| 287 : |
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void CatchStatistics::setFleetsAndStocks(FleetPtrVector& Fleets, StockPtrVector& Stocks) {
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| 288 : |
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int i, j, k, found, minage, maxage;
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| 289 : |
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FleetPtrVector fleets;
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| 290 : |
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StockPtrVector stocks;
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| 291 : |
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| 292 : |
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for (i = 0; i < fleetnames.Size(); i++) {
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| 293 : |
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found = 0;
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| 294 : |
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for (j = 0; j < Fleets.Size(); j++) {
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| 295 : |
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if (strcasecmp(fleetnames[i], Fleets[j]->getName()) == 0) {
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| 296 : |
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found++;
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| 297 : |
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fleets.resize(Fleets[j]);
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| 298 : |
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}
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| 299 : |
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}
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| 300 : |
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if (found == 0)
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| 301 : |
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handle.logMessage(LOGFAIL, "Error in catchstatistics - unrecognised fleet", fleetnames[i]);
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| 302 : |
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}
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| 303 : |
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| 304 : |
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for (i = 0; i < fleets.Size(); i++)
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| 305 : |
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for (j = 0; j < fleets.Size(); j++)
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| 306 : |
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if ((strcasecmp(fleets[i]->getName(), fleets[j]->getName()) == 0) && (i != j))
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| 307 : |
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handle.logMessage(LOGFAIL, "Error in catchstatistics - repeated fleet", fleets[i]->getName());
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| 308 : |
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| 309 : |
|
|
for (i = 0; i < stocknames.Size(); i++) {
|
| 310 : |
|
|
found = 0;
|
| 311 : |
|
|
for (j = 0; j < Stocks.Size(); j++) {
|
| 312 : |
|
|
if (Stocks[j]->isEaten()) {
|
| 313 : |
|
|
if (strcasecmp(stocknames[i], Stocks[j]->getName()) == 0) {
|
| 314 : |
|
|
found++;
|
| 315 : |
|
|
stocks.resize(Stocks[j]);
|
| 316 : |
|
|
}
|
| 317 : |
|
|
}
|
| 318 : |
|
|
}
|
| 319 : |
|
|
if (found == 0)
|
| 320 : |
|
|
handle.logMessage(LOGFAIL, "Error in catchstatistics - unrecognised stock", stocknames[i]);
|
| 321 : |
|
|
}
|
| 322 : |
|
|
|
| 323 : |
|
|
for (i = 0; i < stocks.Size(); i++)
|
| 324 : |
|
|
for (j = 0; j < stocks.Size(); j++)
|
| 325 : |
|
|
if ((strcasecmp(stocks[i]->getName(), stocks[j]->getName()) == 0) && (i != j))
|
| 326 : |
|
|
handle.logMessage(LOGFAIL, "Error in catchstatistics - repeated stock", stocks[i]->getName());
|
| 327 : |
|
|
|
| 328 : |
|
|
LgrpDiv = new LengthGroupDivision(*(stocks[0]->getPrey()->getLengthGroupDiv()));
|
| 329 : |
|
|
for (i = 1; i < stocks.Size(); i++)
|
| 330 : |
|
|
if (!LgrpDiv->Combine(stocks[i]->getPrey()->getLengthGroupDiv()))
|
| 331 : |
|
|
handle.logMessage(LOGFAIL, "Error in catchstatistics - length groups for preys not compatible");
|
| 332 : |
|
|
|
| 333 : |
|
|
if (LgrpDiv->Error())
|
| 334 : |
|
|
handle.logMessage(LOGFAIL, "Error in catchstatistics - failed to create length group");
|
| 335 : |
|
|
|
| 336 : |
|
|
//check fleet areas and stock areas, ages and lengths
|
| 337 : |
|
|
if (handle.getLogLevel() >= LOGWARN) {
|
| 338 : |
|
|
for (j = 0; j < areas.Nrow(); j++) {
|
| 339 : |
|
|
found = 0;
|
| 340 : |
|
|
for (i = 0; i < fleets.Size(); i++)
|
| 341 : |
|
|
for (k = 0; k < areas.Ncol(j); k++)
|
| 342 : |
|
|
if (fleets[i]->isInArea(areas[j][k]))
|
| 343 : |
|
|
found++;
|
| 344 : |
|
|
if (found == 0)
|
| 345 : |
|
|
handle.logMessage(LOGWARN, "Warning in catchstatistics - fleet not defined on all areas");
|
| 346 : |
|
|
}
|
| 347 : |
|
|
|
| 348 : |
|
|
for (j = 0; j < areas.Nrow(); j++) {
|
| 349 : |
|
|
found = 0;
|
| 350 : |
|
|
for (i = 0; i < stocks.Size(); i++)
|
| 351 : |
|
|
for (k = 0; k < areas.Ncol(j); k++)
|
| 352 : |
|
|
if (stocks[i]->isInArea(areas[j][k]))
|
| 353 : |
|
|
found++;
|
| 354 : |
|
|
if (found == 0)
|
| 355 : |
|
|
handle.logMessage(LOGWARN, "Warning in catchstatistics - stock not defined on all areas");
|
| 356 : |
|
|
}
|
| 357 : |
|
|
|
| 358 : |
|
|
minage = 9999;
|
| 359 : |
|
|
maxage = 0;
|
| 360 : |
|
|
for (i = 0; i < ages.Nrow(); i++) {
|
| 361 : |
|
|
for (j = 0; j < ages.Ncol(i); j++) {
|
| 362 : |
|
|
minage = min(ages[i][j], minage);
|
| 363 : |
|
|
maxage = max(ages[i][j], maxage);
|
| 364 : |
|
|
}
|
| 365 : |
|
|
}
|
| 366 : |
|
|
|
| 367 : |
|
|
found = 0;
|
| 368 : |
|
|
for (i = 0; i < stocks.Size(); i++)
|
| 369 : |
|
|
if (minage >= stocks[i]->minAge())
|
| 370 : |
|
|
found++;
|
| 371 : |
|
|
if (found == 0)
|
| 372 : |
|
|
handle.logMessage(LOGWARN, "Warning in catchstatistics - minimum age less than stock age");
|
| 373 : |
|
|
|
| 374 : |
|
|
found = 0;
|
| 375 : |
|
|
for (i = 0; i < stocks.Size(); i++)
|
| 376 : |
|
|
if (maxage <= stocks[i]->maxAge())
|
| 377 : |
|
|
found++;
|
| 378 : |
|
|
if (found == 0)
|
| 379 : |
|
|
handle.logMessage(LOGWARN, "Warning in catchstatistics - maximum age greater than stock age");
|
| 380 : |
|
|
|
| 381 : |
|
|
found = 0;
|
| 382 : |
|
|
for (i = 0; i < stocks.Size(); i++)
|
| 383 : |
|
|
if (LgrpDiv->maxLength(0) > stocks[i]->getLengthGroupDiv()->minLength())
|
| 384 : |
|
|
found++;
|
| 385 : |
|
|
if (found == 0)
|
| 386 : |
|
|
handle.logMessage(LOGWARN, "Warning in catchstatistics - minimum length group less than stock length");
|
| 387 : |
|
|
|
| 388 : |
|
|
found = 0;
|
| 389 : |
|
|
for (i = 0; i < stocks.Size(); i++)
|
| 390 : |
|
|
if (LgrpDiv->minLength(LgrpDiv->numLengthGroups()) < stocks[i]->getLengthGroupDiv()->maxLength())
|
| 391 : |
|
|
found++;
|
| 392 : |
|
|
if (found == 0)
|
| 393 : |
|
|
handle.logMessage(LOGWARN, "Warning in catchstatistics - maximum length group greater than stock length");
|
| 394 : |
|
|
}
|
| 395 : |
|
|
|
| 396 : |
|
|
aggregator = new FleetPreyAggregator(fleets, stocks, LgrpDiv, areas, ages, overconsumption);
|
| 397 : |
|
|
}
|
| 398 : |
|
|
|
| 399 : |
|
|
void CatchStatistics::addLikelihood(const TimeClass* const TimeInfo) {
|
| 400 : |
|
|
|
| 401 : |
|
|
if ((!(AAT.atCurrentTime(TimeInfo))) || (isZero(weight)))
|
| 402 : |
|
|
return;
|
| 403 : |
|
|
|
| 404 : |
|
|
int i;
|
| 405 : |
|
|
timeindex = -1;
|
| 406 : |
|
|
for (i = 0; i < Years.Size(); i++)
|
| 407 : |
|
|
if ((Years[i] == TimeInfo->getYear()) && (Steps[i] == TimeInfo->getStep()))
|
| 408 : |
|
|
timeindex = i;
|
| 409 : |
|
|
if (timeindex == -1)
|
| 410 : |
|
|
handle.logMessage(LOGFAIL, "Error in catchstatistics - invalid timestep");
|
| 411 : |
|
|
|
| 412 : |
|
|
double l = 0.0;
|
| 413 : |
|
|
if (handle.getLogLevel() >= LOGMESSAGE)
|
| 414 : |
|
|
handle.logMessage(LOGMESSAGE, "Calculating likelihood score for catchstatistics component", this->getName());
|
| 415 : |
|
|
aggregator->Sum();
|
| 416 : |
|
|
if ((handle.getLogLevel() >= LOGWARN) && (aggregator->checkCatchData()))
|
| 417 : |
|
|
handle.logMessage(LOGWARN, "Warning in catchstatistics - zero catch found");
|
| 418 : |
|
|
|
| 419 : |
|
|
l = calcLikSumSquares();
|
| 420 : |
|
|
likelihood += l;
|
| 421 : |
|
|
if (handle.getLogLevel() >= LOGMESSAGE)
|
| 422 : |
|
|
handle.logMessage(LOGMESSAGE, "The likelihood score for this component on this timestep is", l);
|
| 423 : |
|
|
}
|
| 424 : |
|
|
|
| 425 : |
|
|
double CatchStatistics::calcLikSumSquares() {
|
| 426 : |
|
|
|
| 427 : |
|
|
int area, age;
|
| 428 : |
|
|
double lik, total, simvar, simdiff;
|
| 429 : |
|
|
|
| 430 : |
|
|
lik = total = simvar = simdiff = 0.0;
|
| 431 : |
|
|
alptr = &aggregator->getSum();
|
| 432 : |
|
|
for (area = 0; area < areas.Nrow(); area++) {
|
| 433 : |
|
|
likelihoodValues[timeindex][area] = 0.0;
|
| 434 : |
|
|
for (age = (*alptr)[area].minAge(); age <= (*alptr)[area].maxAge(); age++) {
|
| 435 : |
|
|
|
| 436 : |
|
|
switch (functionnumber) {
|
| 437 : |
|
|
case 1:
|
| 438 : |
|
|
ps.calcStatistics((*alptr)[area][age], LgrpDiv, 0);
|
| 439 : |
|
|
(*modelMean[timeindex])[area][age] = ps.meanLength();
|
| 440 : |
|
|
simvar = ps.sdevLength() * ps.sdevLength();
|
| 441 : |
|
|
(*modelStdDev[timeindex])[area][age] = ps.sdevLength();
|
| 442 : |
|
|
break;
|
| 443 : |
|
|
case 2:
|
| 444 : |
|
|
ps.calcStatistics((*alptr)[area][age], LgrpDiv, 0);
|
| 445 : |
|
|
(*modelMean[timeindex])[area][age] = ps.meanLength();
|
| 446 : |
|
|
simvar = (*obsStdDev[timeindex])[area][age] * (*obsStdDev[timeindex])[area][age];
|
| 447 : |
|
|
break;
|
| 448 : |
|
|
case 3:
|
| 449 : |
|
|
ps.calcStatistics((*alptr)[area][age], LgrpDiv);
|
| 450 : |
|
|
(*modelMean[timeindex])[area][age] = ps.meanWeight();
|
| 451 : |
|
|
simvar = (*obsStdDev[timeindex])[area][age] * (*obsStdDev[timeindex])[area][age];
|
| 452 : |
|
|
break;
|
| 453 : |
|
|
case 4:
|
| 454 : |
|
|
ps.calcStatistics((*alptr)[area][age], LgrpDiv);
|
| 455 : |
|
|
(*modelMean[timeindex])[area][age] = ps.meanWeight();
|
| 456 : |
|
|
simvar = 1.0;
|
| 457 : |
|
|
break;
|
| 458 : |
|
|
case 5:
|
| 459 : |
|
|
ps.calcStatistics((*alptr)[area][age], LgrpDiv, 0);
|
| 460 : |
|
|
(*modelMean[timeindex])[area][age] = ps.meanLength();
|
| 461 : |
|
|
simvar = 1.0;
|
| 462 : |
|
|
break;
|
| 463 : |
|
|
default:
|
| 464 : |
|
|
handle.logMessage(LOGWARN, "Warning in catchstatistics - unrecognised function", functionname);
|
| 465 : |
|
|
break;
|
| 466 : |
|
|
}
|
| 467 : |
|
|
|
| 468 : |
|
|
if (!(isZero(simvar))) {
|
| 469 : |
|
|
simdiff = (*modelMean[timeindex])[area][age] - (*obsMean[timeindex])[area][age];
|
| 470 : |
|
|
lik = simdiff * simdiff * (*numbers[timeindex])[area][age] / simvar;
|
| 471 : |
|
|
likelihoodValues[timeindex][area] += lik;
|
| 472 : |
|
|
}
|
| 473 : |
|
|
}
|
| 474 : |
|
|
total += likelihoodValues[timeindex][area];
|
| 475 : |
|
|
}
|
| 476 : |
|
|
return total;
|
| 477 : |
|
|
}
|
| 478 : |
|
|
|
| 479 : |
|
|
void CatchStatistics::printLikelihood(ofstream& outfile, const TimeClass* const TimeInfo) {
|
| 480 : |
|
|
|
| 481 : |
|
|
if (!AAT.atCurrentTime(TimeInfo))
|
| 482 : |
|
|
return;
|
| 483 : |
|
|
|
| 484 : |
|
|
int i, area, age;
|
| 485 : |
|
|
timeindex = -1;
|
| 486 : |
|
|
for (i = 0; i < Years.Size(); i++)
|
| 487 : |
|
|
if ((Years[i] == TimeInfo->getYear()) && (Steps[i] == TimeInfo->getStep()))
|
| 488 : |
|
|
timeindex = i;
|
| 489 : |
|
|
if (timeindex == -1)
|
| 490 : |
|
|
handle.logMessage(LOGFAIL, "Error in catchstatistics - invalid timestep");
|
| 491 : |
|
|
|
| 492 : |
|
|
for (area = 0; area < (*modelMean[timeindex]).Nrow(); area++) {
|
| 493 : |
|
|
for (age = 0; age < (*modelMean[timeindex]).Ncol(area); age++) {
|
| 494 : |
|
|
outfile << setw(lowwidth) << Years[timeindex] << sep << setw(lowwidth)
|
| 495 : |
|
|
<< Steps[timeindex] << sep << setw(printwidth) << areaindex[area] << sep
|
| 496 : |
|
|
<< setw(printwidth) << ageindex[age] << sep << setprecision(printprecision)
|
| 497 : |
|
|
<< setw(printwidth) << (*numbers[timeindex])[area][age]
|
| 498 : |
|
|
<< sep << setprecision(largeprecision) << setw(largewidth);
|
| 499 : |
|
|
|
| 500 : |
|
|
//JMB crude filter to remove the 'silly' values from the output
|
| 501 : |
|
|
if ((*modelMean[timeindex])[area][age] < rathersmall)
|
| 502 : |
|
|
outfile << 0;
|
| 503 : |
|
|
else
|
| 504 : |
|
|
outfile << (*modelMean[timeindex])[area][age];
|
| 505 : |
|
|
|
| 506 : |
|
|
switch (functionnumber) {
|
| 507 : |
|
|
case 1:
|
| 508 : |
|
|
outfile << sep << setprecision(printprecision) << setw(printwidth)
|
| 509 : |
|
|
<< (*modelStdDev[timeindex])[area][age] << endl;
|
| 510 : |
|
|
break;
|
| 511 : |
|
|
case 2:
|
| 512 : |
|
|
case 3:
|
| 513 : |
|
|
outfile << sep << setprecision(printprecision) << setw(printwidth)
|
| 514 : |
|
|
<< (*obsStdDev[timeindex])[area][age] << endl;
|
| 515 : |
|
|
break;
|
| 516 : |
|
|
case 4:
|
| 517 : |
|
|
case 5:
|
| 518 : |
|
|
outfile << endl;
|
| 519 : |
|
|
break;
|
| 520 : |
|
|
default:
|
| 521 : |
|
|
handle.logMessage(LOGWARN, "Warning in catchstatistics - unrecognised function", functionname);
|
| 522 : |
|
|
break;
|
| 523 : |
|
|
}
|
| 524 : |
|
|
}
|
| 525 : |
|
|
}
|
| 526 : |
|
|
}
|
| 527 : |
|
|
|
| 528 : |
|
|
void CatchStatistics::printSummary(ofstream& outfile) {
|
| 529 : |
|
|
int year, area;
|
| 530 : |
|
|
|
| 531 : |
|
|
for (year = 0; year < likelihoodValues.Nrow(); year++)
|
| 532 : |
|
|
for (area = 0; area < likelihoodValues.Ncol(year); area++)
|
| 533 : |
|
|
outfile << setw(lowwidth) << Years[year] << sep << setw(lowwidth)
|
| 534 : |
|
|
<< Steps[year] << sep << setw(printwidth) << areaindex[area] << sep
|
| 535 : |
|
|
<< setw(largewidth) << this->getName() << sep << setprecision(smallprecision)
|
| 536 : |
|
|
<< setw(smallwidth) << weight << sep << setprecision(largeprecision)
|
| 537 : |
|
|
<< setw(largewidth) << likelihoodValues[year][area] << endl;
|
| 538 : |
|
|
|
| 539 : |
|
|
outfile.flush();
|
| 540 : |
|
|
}
|
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