protected override void Context()
{
base.Context();
var timeDimension = DomainHelperForSpecs.TimeDimensionForSpecs();
var concDimension = DomainHelperForSpecs.ConcentrationDimensionForSpecs();
_xAxis = new AxisData(timeDimension, timeDimension.DefaultUnit, Scalings.Linear)
{
Caption = "X"
};
_yAxis = new AxisData(concDimension, concDimension.DefaultUnit, Scalings.Linear)
{
Caption = "Y"
};
_chartData = new ChartData <TimeProfileXValue, TimeProfileYValue>(_xAxis, null, null, null);
var pane1 = new PaneData <TimeProfileXValue, TimeProfileYValue>(_yAxis)
{
Caption = "Male"
};
var pane2 = new PaneData <TimeProfileXValue, TimeProfileYValue>(_yAxis)
{
Caption = "Female"
};
_chartData.AddPane(pane1);
_chartData.AddPane(pane2);
var curve1 = new CurveData <TimeProfileXValue, TimeProfileYValue> {
Caption = "Liver"
};
curve1.Add(new TimeProfileXValue(1), new TimeProfileYValue {
Y = 10
});
curve1.Add(new TimeProfileXValue(2), new TimeProfileYValue {
LowerValue = 20, UpperValue = 30
});
pane1.AddCurve(curve1);
var curve2 = new CurveData <TimeProfileXValue, TimeProfileYValue> {
Caption = "Kidney"
};
curve2.Add(new TimeProfileXValue(3), new TimeProfileYValue {
Y = 40
});
pane2.AddCurve(curve2);
_observedData = DomainHelperForSpecs.ObservedData();
var displayPathMapper = A.Fake <IQuantityPathToQuantityDisplayPathMapper>();
var dimensionRepository = A.Fake <IDimensionRepository>();
var observedDataMapper = new DataRepositoryToObservedCurveDataMapper(displayPathMapper, dimensionRepository);
var obserevdDataCurves = observedDataMapper.MapFrom(_observedData, new ObservedDataCollection(), concDimension);
obserevdDataCurves.Each(pane1.AddObservedCurve);
observedDataMapper.MapFrom(_observedData, new ObservedDataCollection(), concDimension).Each(curve =>
{
curve.Visible = false;
pane1.AddObservedCurve(curve);
});
}
protected override void Context()
{
base.Context();
var timeDimension = DomainHelperForSpecs.TimeDimensionForSpecs();
var concDimension = DomainHelperForSpecs.ConcentrationDimensionForSpecs();
_xAxis = new AxisData(timeDimension, timeDimension.DefaultUnit, Scalings.Linear)
{
Caption = "X"
};
_yAxis = new AxisData(concDimension, concDimension.DefaultUnit, Scalings.Linear)
{
Caption = "Y"
};
_chartData = new ChartData <RangeXValue, RangeYValue>(_xAxis, null);
var pane1 = new PaneData <RangeXValue, RangeYValue>(_yAxis)
{
Caption = "Male"
};
var pane2 = new PaneData <RangeXValue, RangeYValue>(_yAxis)
{
Caption = "Female"
};
_chartData.AddPane(pane1);
_chartData.AddPane(pane2);
var curve1 = new CurveData <RangeXValue, RangeYValue> {
Caption = "Liver"
};
curve1.Add(new RangeXValue(1)
{
Minimum = 0, Maximum = 1.5f, NumberOfItems = 5
}, new RangeYValue {
LowerPercentile = 10, Median = 20, UpperPercentile = 30
});
curve1.Add(new RangeXValue(2)
{
Minimum = 1.8f, Maximum = 2.5f, NumberOfItems = 10
}, new RangeYValue {
LowerPercentile = 20, Median = 30, UpperPercentile = 40
});
pane1.AddCurve(curve1);
var curve2 = new CurveData <RangeXValue, RangeYValue> {
Caption = "Kidney"
};
curve2.Add(new RangeXValue(3)
{
Minimum = 2f, Maximum = 4f, NumberOfItems = 15
}, new RangeYValue {
LowerPercentile = 30, Median = 40, UpperPercentile = 50
});
pane2.AddCurve(curve2);
}
private void setCurveDataValues(CurveData <RangeXValue, RangeYValue> series, DataRow xFieldRow, string yFieldName)
{
// find row with yField / data for y-Values
var pkValues = xFieldRow.GetPrimaryKeyValues();
pkValues[0] = yFieldName; // DATA_FIELD-column first, see CreatePrimaryKey
DataRow yFieldRow = _data.Rows.Find(pkValues);
var xValues = xFieldRow[_aggreationName] as float[];
var yValues = yFieldRow[_aggreationName] as float[];
//possible if no values are defined for the row filter
if (xValues == null || yValues == null)
{
return;
}
if (xValues.Length != yValues.Length)
{
throw new InvalidDataException(PKSimConstants.Error.DifferentVectorLengths);
}
// create range curve on grid. Do not allow uniform interval distribution as data might be misleading
var xValueIntervals = _binIntervalsCreator.CreateIntervalsFor(xValues.ToDoubleArray());
foreach (var xValueInterval in xValueIntervals)
{
var yValuesForXInterval = yValues.Where((y, i) => xValueInterval.Contains(xValues[i])).ToList();
var rangeYValue = createRangeYValue(yValuesForXInterval);
if (rangeYValue.IsValid)
{
series.Add(createRangeXValue(xValueInterval, yValuesForXInterval.Count), rangeYValue);
}
}
}
public static CurveData <BoxWhiskerXValue, BoxWhiskerYValue> CreateBoxWhiskerCurveData(PaneData <BoxWhiskerXValue, BoxWhiskerYValue> paneData, string name, IList <BoxWhiskerXYValue> bwValues)
{
var curveData = new CurveData <BoxWhiskerXValue, BoxWhiskerYValue>(new Dictionary <string, string> {
{ name, name }
})
{
Id = name,
Caption = name
};
foreach (var v in bwValues)
{
var X = new BoxWhiskerXValue(new List <string>()
{
v.X1, v.X2
});
var Y = new BoxWhiskerYValue
{
LowerWhisker = new ValueWithIndvividualId(v.LW),
LowerBox = new ValueWithIndvividualId(v.LW),
Median = new ValueWithIndvividualId(v.M),
UpperBox = new ValueWithIndvividualId(v.LW),
UpperWhisker = new ValueWithIndvividualId(v.LW),
};
curveData.Add(X, Y);
}
return(curveData);
}
private void setSeriesValues(CurveData <ScatterXValue, ScatterYValue> series, DataRow row, string yFieldName)
{
// find row with yField / data for y-Values
var pkValues = row.GetPrimaryKeyValues();
pkValues[0] = yFieldName;
DataRow yFieldRow = _data.Rows.Find(pkValues);
var xValues = (float[])row[_aggregationName];
var yValues = (float[])yFieldRow[_aggregationName];
if (xValues.Length != yValues.Length)
{
throw new InvalidDataException(PKSimConstants.Error.DifferentVectorLengths);
}
for (int i = 0; i < xValues.Length; i++)
{
var scatterValue = new ScatterYValue(yValues[i]);
if (scatterValue.IsValid)
{
series.Add(new ScatterXValue(xValues[i]), scatterValue);
}
}
}
protected override void Context()
{
base.Context();
var timeDimension = DomainHelperForSpecs.TimeDimensionForSpecs();
var concDimension = DomainHelperForSpecs.ConcentrationDimensionForSpecs();
_xAxis = new AxisData(timeDimension, timeDimension.DefaultUnit, Scalings.Linear)
{
Caption = "X"
};
_yAxis = new AxisData(concDimension, concDimension.DefaultUnit, Scalings.Linear)
{
Caption = "Y"
};
_chartData = new ChartData <TimeProfileXValue, TimeProfileYValue>(_xAxis, null, null, null);
var pane1 = new PaneData <TimeProfileXValue, TimeProfileYValue>(_yAxis)
{
Caption = "Male"
};
var pane2 = new PaneData <TimeProfileXValue, TimeProfileYValue>(_yAxis)
{
Caption = "Female"
};
_chartData.AddPane(pane1);
_chartData.AddPane(pane2);
var curve1 = new CurveData <TimeProfileXValue, TimeProfileYValue> {
Caption = "Liver"
};
curve1.Add(new TimeProfileXValue(1), new TimeProfileYValue {
Y = 10
});
curve1.Add(new TimeProfileXValue(2), new TimeProfileYValue {
LowerValue = 20, UpperValue = 30
});
pane1.AddCurve(curve1);
var curve2 = new CurveData <TimeProfileXValue, TimeProfileYValue> {
Caption = "Kidney"
};
curve2.Add(new TimeProfileXValue(3), new TimeProfileYValue {
Y = 40
});
pane2.AddCurve(curve2);
}
protected override void Context()
{
base.Context();
var dim = DomainHelperForSpecs.ConcentrationDimensionForSpecs();
_populationDataCollector = A.Fake <IPopulationDataCollector>();
_chartData = new ChartData <TimeProfileXValue, TimeProfileYValue>(new AxisData(dim, dim.DefaultUnit, Scalings.Linear), null);
var pane = new PaneData <TimeProfileXValue, TimeProfileYValue>(new AxisData(dim, dim.DefaultUnit, Scalings.Linear));
_chartData.AddPane(pane);
var curve = new CurveData <TimeProfileXValue, TimeProfileYValue>()
{
Pane = pane,
QuantityPath = "PATH",
};
curve.Add(new TimeProfileXValue(1), new TimeProfileYValue {
Y = 10
});
curve.Add(new TimeProfileXValue(2), new TimeProfileYValue {
Y = 20
});
pane.AddCurve(curve);
var rangeCurve = new CurveData <TimeProfileXValue, TimeProfileYValue>()
{
Pane = pane,
QuantityPath = "RANGE_PATH",
};
rangeCurve.Add(new TimeProfileXValue(1), new TimeProfileYValue {
Y = 10, LowerValue = 1, UpperValue = 2
});
pane.AddCurve(rangeCurve);
A.CallTo(() => _populationDataCollector.MolWeightFor("PATH")).Returns(100);
A.CallTo(() => _pkMapper.MapFrom(A <DataColumn> ._, A <PKValues> ._, A <PKParameterMode> ._, A <string> ._))
.Invokes(x => _dataColumn = x.GetArgument <DataColumn>(0));
}
private void setSeriesValues(CurveData <BoxWhiskerXValue, BoxWhiskerYValue> series, DataRow row, IEnumerable <string> xFieldNames, PopulationBoxWhiskerAnalysis boxWhiskerAnalysis)
{
var xValue = new BoxWhiskerXValue(GetFieldValues(xFieldNames, row).Values);
var yValue = row[_aggregationName].DowncastTo <BoxWhiskerYValue>();
if (!yValue.IsValid)
{
return;
}
if (!boxWhiskerAnalysis.ShowOutliers)
{
yValue.ClearOutliers();
}
series.Add(xValue, yValue);
}
private void setSeriesValues(CurveData <TimeProfileXValue, TimeProfileYValue> series, DataRow row)
{
var statisticalAggregation = row[STATISTICAL_AGGREGATION].DowncastTo <StatisticalAggregation>();
var timeAndAllValues = (Tuple <QuantityValues, FloatMatrix>)row[TIME_AND_VALUES];
QuantityValues time = timeAndAllValues.Item1;
FloatMatrix allValues = timeAndAllValues.Item2;
var results = getResultsFor(statisticalAggregation, allValues);
for (int i = 0; i < time.Length; i++)
{
var yValue = results[i];
if (yValue.IsValid)
{
series.Add(new TimeProfileXValue(time[i]), yValue);
}
}
}
public static CurveData <BoxWhiskerXValue, BoxWhiskerYValue> CreateBoxWhiskerCurveData(PaneData <BoxWhiskerXValue, BoxWhiskerYValue> paneData, string name, IList <BoxWhiskerXYValue> bwValues)
{
var curveData = new CurveData <BoxWhiskerXValue, BoxWhiskerYValue>(new Dictionary <string, string> {
{ name, name }
});
curveData.Id = name;
curveData.Caption = name;
foreach (var v in bwValues)
{
var X = new BoxWhiskerXValue(new List <string>()
{
v.X1, v.X2
});
var Y = new BoxWhiskerYValue()
{
LowerWhisker = v.LW, LowerBox = v.LW, Median = v.M, UpperBox = v.LW, UpperWhisker = v.LW
};
curveData.Add(X, Y);
}
return(curveData);
}
public CinemaMultiActorCurveClip()
{
CurveData.Add(new MemberClipCurveData());
}