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 static Aggregate <BoxWhiskerYValue> boxWhiskerAggregation(double percentile)
{
const float outlierRange = 1.5F;
return(new Aggregate <double, BoxWhiskerYValue>
{
Aggregation = doubles =>
{
var ordereredValues = doubles.ToFloatArray().OrderedAndPurified();
var boxWhiskerYValue = new BoxWhiskerYValue
{
LowerWhisker = valueWithIndex(ordereredValues, percentile),
LowerBox = valueWithIndex(ordereredValues, 25),
Median = valueWithIndex(ordereredValues, 50),
UpperBox = valueWithIndex(ordereredValues, 75),
UpperWhisker = valueWithIndex(ordereredValues, 100 - percentile),
};
var range = outlierRange * (boxWhiskerYValue.UpperBox - boxWhiskerYValue.LowerBox);
var lowerLimit = boxWhiskerYValue.LowerWhisker - range;
var upperLimit = boxWhiskerYValue.UpperWhisker + range;
var outliers = ordereredValues.Where(f => f <lowerLimit || f> upperLimit)
.Select(f => new ValueWithIndvividualId(f))
.ToArray();
boxWhiskerYValue.Outliers = outliers;
return boxWhiskerYValue;
},
Name = "BoxWhisker"
});
}
protected override void Because()
{
_xValue = new BoxWhiskerXValue(new string[] { "Normal", "Young" });
_yValue = new BoxWhiskerYValue()
{
LowerWhisker = 1.1F, LowerBox = 1.2F, Median = 1.3F, UpperBox = 1.4F, UpperWhisker = 1.5F
};
sut.Add(_xValue, _yValue);
}
protected override void Because()
{
_xValue = new BoxWhiskerXValue(new string[] { "Normal", "Young" });
_yValue = new BoxWhiskerYValue
{
LowerWhisker = new ValueWithIndvividualId(1.1F),
LowerBox = new ValueWithIndvividualId(1.2F),
Median = new ValueWithIndvividualId(1.3F),
UpperBox = new ValueWithIndvividualId(1.4F),
UpperWhisker = new ValueWithIndvividualId(1.5F)
};
sut.Add(_xValue, _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);
}
protected override void Context()
{
base.Context();
_boxWiskerYValue = new BoxWhiskerYValue
{
UpperWhisker = new ValueWithIndvividualId(12)
{
IndividualId = 8
},
UpperBox = new ValueWithIndvividualId(10)
{
IndividualId = 2
},
Median = new ValueWithIndvividualId(8)
{
IndividualId = 14
},
LowerBox = new ValueWithIndvividualId(7)
{
IndividualId = 22
},
LowerWhisker = new ValueWithIndvividualId(2)
{
IndividualId = 44
}
};
_population = new ImportPopulation();
var populationSimulation = A.Fake <PopulationSimulation>();
A.CallTo(() => populationSimulation.Population).Returns(_population);
_boxWiskerAnalysisChart.Analysable = populationSimulation;
A.CallTo(() => _individualExtractor.ExtractIndividualsFrom(_population, A <IEnumerable <int> > ._))
.Invokes(x => _allIndividualIds = x.GetArgument <IEnumerable <int> >(1).ToList());
}
protected override void Context()
{
base.Context();
_boxWiskerYValue = new BoxWhiskerYValue();
_boxWiskerAnalysisChart.Analysable = A.Fake <IAnalysable>();
}
