private void CreateMeanMovements(ISetOfExperiments setOfExperiments)
{
int numberOfMovements = GetNumOfMovements(setOfExperiments);
for (int i = 0; i < numberOfMovements; i++)
{
Movements.Add(new MeanMovement(AccumulateMovementsFrom(indexOfMovement: i, setOfExperiments)));
}
}
public MeanExperiment(ISetOfExperiments setOfExperiments)
{
Movements = new List <IMovement>();
CreateMeanMovements(setOfExperiments);
Name = "MeanExperiment of:";
foreach (var exp in setOfExperiments.Experiments)
{
Name += $" <{exp.Name}> ";
}
}
private ISetOfMovements AccumulateMovementsFrom(int indexOfMovement, ISetOfExperiments setOfExperiments)
{
List <IMovement> result = new List <IMovement>();
foreach (var experiment in setOfExperiments.Experiments)
{
result.Add(experiment.Movements[indexOfMovement]);
}
var setOfMovements = new SimpleSetOfMovements(result);
return(new NormalizedSetOfMovements(setOfMovements, GetMeanLength(result)));
}
public cbChangeColor(IExperiment meanExperiment, ISetOfExperiments baseExperiments)
{
InitializeComponent();
this.meanExperiment = meanExperiment;
this.baseExperiments = baseExperiments;
AdjustFLowLayoutPanel();
CreateOrRefreshSensorVisualiser();
FillComboBoxes();
cbSensorSelection.SelectedIndex = 0;
cbExperiments.SelectedIndex = 0;
bShowExperiment.Text = HideMinorGraph;
cbChangeColor_Resize(null, null);
}
private int GetNumOfMovements(ISetOfExperiments setOfExperiments) => setOfExperiments.Experiments.Min((setOfMovement) => setOfMovement.Movements.Count);
