internal void AddValue(DfRecord rec)
{
Accumulator += rec.GenValue;
}
internal WorkerData(BetweenWorkerModel parent)
{
this.parentModel = parent;
this.logNormalDistrn = this.parentModel.OutcomeIsLogNormallyDistributed;
Data = parent.Data;
workerDigests = new WorkerDigest[Data.NWorkers];
int i = 0;
this.MeasureCountByWorker = new int[Data.NWorkers];
foreach (Worker w in Data.WorkersByOrdinal)
{
MeasureCountByWorker[i] = Data.MeasuresByWorker[w].Count;
workerDigests[i] = new WorkerDigest(ordinal: i, mean: 0, measureCount: Data.MeasuresByWorker[w].Count);
i++;
}
DFRecordByMeasureType.Add(Measure.MeasureType.Uncensored, new List <DfRecord>());
DFRecordByMeasureType.Add(Measure.MeasureType.GreaterThan, new List <DfRecord>());
DFRecordByMeasureType.Add(Measure.MeasureType.LessThan, new List <DfRecord>());
DFRecordByMeasureType.Add(Measure.MeasureType.Interval, new List <DfRecord>());
df = new DfRecord[Data.N];
int j = 0;
Positions[(int)Measure.MeasureType.Uncensored] = new Position(j, Data.UncensoredMeasures.Length);
for (i = 0; i < Data.UncensoredMeasures.Length; i++)
{
int workerOrdinal = Data.UncensoredMeasures[i].Worker.Ordinal;
Measure m = Data.UncensoredMeasures[i];
m.WorkerDataOrdinal = j;
df[j] = new DfRecord(
measureOrdinal: j,
genValue: this.logNormalDistrn ? Math.Log(m.A) : m.A,
workerOrdinal: workerOrdinal,
workerDigest: workerDigests[workerOrdinal]);
DFRecordByMeasureType[Measure.MeasureType.Uncensored].Add(df[j]);
j++;
}
Positions[(int)Measure.MeasureType.GreaterThan] = new Position(j, Data.GT.Length);
for (i = 0; i < Data.GTMeasures.Length; i++)
{
int workerOrdinal = Data.GTMeasures[i].Worker.Ordinal;
Measure m = Data.GTMeasures[i];
m.WorkerDataOrdinal = j;
df[j] = new DfRecord(
measureOrdinal: j,
genValue: Tools.ND,
workerOrdinal: workerOrdinal,
workerDigest: workerDigests[workerOrdinal]);
DFRecordByMeasureType[Measure.MeasureType.GreaterThan].Add(df[j]);
j++;
}
Positions[(int)Measure.MeasureType.LessThan] = new Position(j, Data.LT.Length);
for (i = 0; i < Data.LTMeasures.Length; i++)
{
int workerOrdinal = Data.LTMeasures[i].Worker.Ordinal;
Measure m = Data.LTMeasures[i];
m.WorkerDataOrdinal = j;
df[j] = new DfRecord(
measureOrdinal: j,
genValue: Tools.ND,
workerOrdinal: workerOrdinal,
workerDigest: workerDigests[workerOrdinal]);
DFRecordByMeasureType[Measure.MeasureType.LessThan].Add(df[j]);
j++;
}
Positions[(int)Measure.MeasureType.Interval] = new Position(j, Data.IntervalGT.Length);
for (i = 0; i < Data.IntervalMeasures.Length; i++)
{
int workerOrdinal = Data.IntervalMeasures[i].Worker.Ordinal;
Measure m = Data.IntervalMeasures[i];
m.WorkerDataOrdinal = j;
df[j] = new DfRecord(
measureOrdinal: j,
genValue: Tools.ND,
workerOrdinal: workerOrdinal,
workerDigest: workerDigests[workerOrdinal]);
DFRecordByMeasureType[Measure.MeasureType.Interval].Add(df[j]);
j++;
}
this.WorkerIds = df.Select(rec => rec.WorkerOrdinal).ToArray();
UpdatePublicProperties();
}
