protected override void UpdateLevelsValues(List<List<SamplePrimitive>> primitives, MobileObservableCollection<SampleUnit> samples)
{
Mean = samples.Any() ? Math.Round(samples.Average(x => (double)x.SampleValue), 2) : 0;
foreach (var sample in samples)
{
sample.SetUCL(UCL);
sample.SetMean(Mean);
sample.SetLCL(LCL);
sample.SetUCL(ParentPanel.CustomUCL, true);
sample.SetLCL(ParentPanel.CustomLCL, true);
sample.SetUSL(ParentPanel.USL);
sample.SetLSL(ParentPanel.LSL);
}
}
protected override void UpdateLevelsValues(List<List<SamplePrimitive>> primitives, MobileObservableCollection<SampleUnit> samples)
{
var stdDevAv = samples.Any() ? Math.Round(samples.Average(x => (double)x.SampleValue), 2) : 0;
Mean = Math.Round(stdDevAv, 3);
UCL = Math.Round(StatisticConstants.B4(ParentPanel.SubgroupSize) * Mean, 2);
LCL = Math.Round(StatisticConstants.B3(ParentPanel.SubgroupSize) * Mean, 2);
foreach (var sample in samples)
{
sample.SetUCL(UCL);
sample.SetMean(Mean);
sample.SetLCL(LCL);
sample.SetUCL(ParentPanel.CustomUCL, true);
sample.SetLCL(ParentPanel.CustomLCL, true);
sample.SetUSL(ParentPanel.USL);
sample.SetLSL(ParentPanel.LSL);
}
}
protected override void UpdateLevelsValues(List<List<SamplePrimitive>> primitives, MobileObservableCollection<SampleUnit> samples)
{
var rValues = primitives.Select(t => t.Select(x => (double)x.SampleValue).Range()).ToList();
Mean = samples.Any() ? Math.Round(samples.Average(x => (double)x.SampleValue), 2) : 0;
var rBar = rValues.Any() ? rValues.Average() : 0;
UCL = Math.Round(rBar * StatisticConstants.D4(ParentPanel.SubgroupSize), 2);
LCL = Math.Round(rBar * StatisticConstants.D3(ParentPanel.SubgroupSize), 2);
foreach (var sample in samples)
{
sample.SetUCL(UCL);
sample.SetMean(Mean);
sample.SetLCL(LCL);
sample.SetUCL(ParentPanel.CustomUCL, true);
sample.SetLCL(ParentPanel.CustomLCL, true);
sample.SetUSL(ParentPanel.USL);
sample.SetLSL(ParentPanel.LSL);
}
}
private void ResolveLimitsCalculationMethod(List<List<SamplePrimitive>> primitives, MobileObservableCollection<SampleUnit> samples)
{
var allRenderedCharts = ParentPanel.Charts.Select(x => x.ChartType);
if (allRenderedCharts.Contains(ChartTypesEnum.RChart))
{
var rValues = new List<double>();
for (var i = 0; i < primitives.Count; i++)
rValues.Add(primitives[i].Select(x => (double)x.SampleValue).Range());
var rBar = rValues.Any() ? rValues.Average() : 0;
Mean = samples.Any() ? Math.Round(samples.Average(x => (double)x.SampleValue), 2) : 0;
var a2 = StatisticConstants.A2(ParentPanel.SubgroupSize);
UCL = Math.Round(Mean + rBar * a2, 2);
LCL = Math.Round(Mean - rBar * a2, 2);
}
else if (allRenderedCharts.Contains(ChartTypesEnum.StDevChart))
{
var stDevList = new List<double>();
for (var i = 0; i < primitives.Count; i++)
{
var data = primitives[i].Select(x => x.SampleValue).Cast<double>();
var calculatedValue = data != null && data.Any() ? Math.Round(data.StdDev(), 3) : 0;
stDevList.Add(calculatedValue);
}
var stdDevAv = stDevList.Any() ? stDevList.Average() : 0;
Mean = samples.Any() ? Math.Round(samples.Average(x => (double)x.SampleValue), 2) : 0;
var a3 = StatisticConstants.A3(ParentPanel.SubgroupSize);
UCL = Math.Round(Mean + stdDevAv * a3, 2);
LCL = Math.Round(Mean - stdDevAv * a3, 2);
}
else if (allRenderedCharts.Contains(ChartTypesEnum.XMRChart))
{
var mrList = new List<double>();
var list = primitives.SelectMany(x => x.Select(y => y.SampleValue)).Cast<double>().ToList();
for (var i = 0; i < list.Count; i++)
{
if (i >= ParentPanel.SubgroupSize - 1)
{
var data = list.GetRange(i - (ParentPanel.SubgroupSize - 1), ParentPanel.SubgroupSize);
var sampleValue = data != null && data.Any() ? (double?)Math.Abs(data.Max() - data.Min()) : null;
if (sampleValue.HasValue)
mrList.Add(sampleValue.Value);
}
}
var mrAv = mrList.Any() ? mrList.Average() : 0;
Mean = samples.Any() ? Math.Round(samples.Average(x => (double)x.SampleValue), 2) : 0;
var d2 = StatisticConstants.d2(ParentPanel.SubgroupSize);
UCL = Math.Round(Mean + 3 * (mrAv / d2), 2);
LCL = Math.Round(Mean - 3 * (mrAv / d2), 2);
}
}
