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https://github.com/ultimatepp/ultimatepp.git
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676 lines
24 KiB
C++
676 lines
24 KiB
C++
#include "ScatterCtrl.h"
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void ScatterCtrl::DoProcessing()
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{
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ProcessingDlg dlg;
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dlg.Init(*this);
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dlg.Run();
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}
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void PropertiesDlg::Init(ScatterCtrl& scatter)
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{
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CtrlLayoutExit(*this, t_("Scatter properties"));
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Sizeable().Zoomable();
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this->scatter = &scatter;
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tab.Add(measures, t_("Measures"));
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tab.Add(texts, t_("Texts"));
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tab.Add(legend, t_("Legend"));
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tab.Add(series, t_("Series"));
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OnTab();
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tab <<= THISBACK(OnTab);
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}
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void PropertiesDlg::Set(int itab)
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{
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tab.Set(itab);
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OnTab();
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}
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void PropertiesDlg::OnTab()
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{
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if (tab.IsAt(measures))
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measures.Init(*scatter);
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else if (tab.IsAt(texts))
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texts.Init(*scatter);
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else if (tab.IsAt(legend))
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legend.Init(*scatter);
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else if (tab.IsAt(series))
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series.Init(*scatter);
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}
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void ProcessingDlg::Init(ScatterCtrl& scatter)
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{
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CtrlLayoutExit(*this, Nvl(scatter.GetTitle(), "Data") + " processing");
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Sizeable().Zoomable();
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this->scatter = &scatter;
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list.Reset();
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list.SetLineCy(EditField::GetStdHeight());
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list.AddColumn(t_("Name"));
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list.AddColumn(t_("Id"));
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list.ColumnWidths("1 0");
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for(int i = 0; i < scatter.GetCount(); i++) {
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if (scatter.ScatterDraw::IsVisible(i)) {
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list.Add(scatter.GetLegend(i), i);
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ProcessingTab& tab = tabs.Add();
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tab.Init(scatter);
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CtrlLayout(tab);
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Add(tab.HSizePosZ(128, 4).VSizePosZ(4, 28));
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}
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}
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if (list.GetCount() > 0)
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list.SetCursor(0);
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list.WhenSel = THISBACK(UpdateFields);
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UpdateFields();
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}
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void ProcessingDlg::UpdateFields()
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{
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int index = list.GetCursor();
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if (index < 0)
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return;
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for (int i = 0; i < list.GetCount(); ++i)
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tabs[i].Hide();
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tabs[index].UpdateField(~list.Get(0), int(list.Get(1)));
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}
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int r2Compare(const Vector<Value>& v1, const Vector<Value>& v2) {return double(v1[2]) > double(v2[2]);}
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ProcessingTab::ProcessingTab()
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{
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CtrlLayout(*this);
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CtrlLayout(tabFit);
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CtrlLayout(tabFreq);
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CtrlLayout(tabOp);
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CtrlLayout(tabBestFit);
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tab.Add(tabFit.SizePos(), t_("Data fit"));
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tab.Add(tabFreq.SizePos(), t_("Frequency"));
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tab.Add(tabOp.SizePos(), t_("Operations"));
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tab.Add(tabBestFit.SizePos(), t_("Best fit"));
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tab.WhenSet = THISBACK(OnSet);
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tabFreq.butFFT.WhenAction = THISBACK(OnFFT);
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tabFreq.opXAxis = 0;
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tabFreq.opXAxis.WhenAction = THISBACK(OnFFT);
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tabFreq.type.WhenAction = THISBACK(OnFFT);
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tabFreq.type = 0;
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for (int i = 0; i < DataSource::GetFFTWindowCount(); ++i)
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tabFreq.window.Add(InitCaps(DataSource::GetFFTWindowStr(i)));
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tabFreq.window.SetIndex(0);
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tabFreq.window.WhenAction = THISBACK(OnFFT);
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tabFreq.num <<= 1;
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tabFreq.overlapping <<= 0.1;
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tabFit.opSeries = true;
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tabFit.opSeries.WhenAction = THISBACK(OnOp);
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tabFit.opAverage.WhenAction = THISBACK(OnOp);
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tabFit.opLinear.WhenAction = THISBACK(OnOp);
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tabFit.opCuadratic.WhenAction = THISBACK(OnOp);
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tabFit.opCubic.WhenAction = THISBACK(OnOp);
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tabFit.opSinus.WhenAction = THISBACK(OnOp);
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tabFit.opSinusTend.WhenAction = THISBACK(OnOp);
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tabFit.opSpline.WhenAction = THISBACK(OnOp);
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tabFit.opMax.WhenAction = THISBACK(OnOp);
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tabFit.opMin.WhenAction = THISBACK(OnOp);
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tabFit.opMovAvg.WhenAction = THISBACK(OnOp);
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tabFit.opSecAvg.WhenAction = THISBACK(OnOp);
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tabFit.butAutoSensSector.WhenAction = THISBACK(OnAutoSensSector);
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tabFit.width.WhenLostFocus = THISBACK(OnUpdateSensitivity);
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tabFit.width.WhenAction = THISBACK(OnUpdateSensitivity);
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tabFit.numDecimals <<= 3;
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tabFit.numDecimals.WhenAction = THISBACK(UpdateEquations);
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tabFit.showEquation.WhenAction = THISBACK(OnShowEquation);
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tabOp.xLow.WhenLostFocus = THISBACK(OnOperation);
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tabOp.xHigh.WhenLostFocus = THISBACK(OnOperation);
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tabBestFit.coefficients = 0;
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tabBestFit.minR2 = 0.6;
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tabBestFit.userFormula <<= "c0 + c1*x^2";
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tabBestFit.gridTrend.AddColumn("Type", 10);
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tabBestFit.gridTrend.AddColumn("Equation", 40);
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tabBestFit.gridTrend.AddColumn("R2", 5);
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tabBestFit.gridTrend.SetLineCy(EditField::GetStdHeight()).MultiSelect();
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tabBestFit.gridTrend.WhenBar = THISBACK(OnArrayBar);
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tabBestFit.gridTrend.Sort(r2Compare);
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for (int i = 0; i < ExplicitEquation::GetEquationCount(); ++i)
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/*ExplicitEquation &equation = */equationTypes.Add(ExplicitEquation::Create(i));
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userEquation = new UserEquation;
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equationTypes.Add(userEquation);
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tabBestFit.butFit.WhenPush = THISBACK(OnFit);
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tabFreqFirst = tabOpFirst = tabBestFitFirst = true;
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avgFirst = linearFirst = cuadraticFirst = cubicFirst = sinusFirst = sinusTendFirst = splineFirst = true;
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exclamationOpened = false;
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newWidthMax = newWidthMin = newWidthMovAvg-1;
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}
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void ProcessingTab::ArrayCopy() {
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tabBestFit.gridTrend.SetClipboard(true, true);
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}
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void ProcessingTab::ArraySelect() {
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tabBestFit.gridTrend.Select(0, tabBestFit.gridTrend.GetCount(), true);
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}
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void ProcessingTab::OnArrayBar(Bar &menu) {
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menu.Add(t_("Select all"), Null, THISBACK(ArraySelect)).Key(K_CTRL_A).Help(t_("Select all rows"));
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menu.Add(t_("Copy"), ScatterImgP::Copy(), THISBACK(ArrayCopy)).Key(K_CTRL_C).Help(t_("Copy selected rows"));
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}
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void ProcessingTab::OnFit() {
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//ds.Init(pscatter->GetSeries(id));
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DataSource &ds = pscatter->GetSeries(id);
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userEquation->Init("User", ~tabBestFit.userFormula, "x");
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Array<double> r2;
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r2.SetCount(equationTypes.GetCount());
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for (int i = 0; i < equationTypes.GetCount(); ++i) {
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equationTypes[i].GuessCoeff(ds);
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equationTypes[i].Fit(ds, r2[i]);
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}
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tabBestFit.scatter.RemoveAllSeries();
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tabBestFit.scatter.AddSeries(ds).Legend("Series").NoMark();
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for (int i = 0; i < equationTypes.GetCount(); ++i) {
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if (r2[i] >= tabBestFit.minR2)
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tabBestFit.scatter.AddSeries(equationTypes[i]).Legend(equationTypes[i].GetFullName()).NoMark().Stroke(2);
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}
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tabBestFit.scatter.ZoomToFit(true, true);
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int numDecimals = 3;
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switch (tabBestFit.coefficients) {
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case 1: numDecimals = 40; break;
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case 2: numDecimals = Null; break;
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}
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tabBestFit.gridTrend.Clear();
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for (int i = 0; i < equationTypes.GetCount(); ++i)
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tabBestFit.gridTrend.Add(equationTypes[i].GetFullName(), equationTypes[i].GetEquation(numDecimals), r2[i]);
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tabBestFit.gridTrend.SetSortColumn(2, true);
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}
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void ProcessingTab::OnOp()
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{
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DataSource &data = tabFit.scatter.GetSeries(0);
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if (data.IsParam() || data.IsExplicit())
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return;
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if (tabFit.opAverage && avgFirst) {
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double r2;
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average.Fit(data, r2);
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avgFirst = false;
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}
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if (tabFit.opLinear && linearFirst) {
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if (linear.Fit(data, r2Linear) < 0) {
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tabFit.opLinear = false;
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tabFit.opLinear.Enable(false);
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} else
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linearFirst = false;
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}
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if (tabFit.opCuadratic && cuadraticFirst) {
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cuadratic.GuessCoeff(data);
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if (cuadratic.Fit(data, r2Cuadratic) < 0) {
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tabFit.opCuadratic = false;
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tabFit.opCuadratic.Enable(false);
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} else
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cuadraticFirst = false;
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}
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if (tabFit.opCubic && cubicFirst) {
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cubic.GuessCoeff(data);
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if (cubic.Fit(data, r2Cubic) < 0) {
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tabFit.opCubic = false;
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tabFit.opCubic.Enable(false);
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} else
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cubicFirst = false;
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}
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if (tabFit.opSinus && sinusFirst) {
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sinus.GuessCoeff(data);
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if (sinus.Fit(data, r2Sinus) < 0) {
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tabFit.opSinus = false;
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tabFit.opSinus.Enable(false);
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} else
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sinusFirst = false;
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}
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if (tabFit.opSinusTend && sinusTendFirst) {
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DataXRange dataXRange;
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dataXRange.Init(data, Null, Null);
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double r2SinusTendBest = Null;
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SinEquation sinusTendBest;
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for (int iLow = 9; iLow >= 0; iLow--) {
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double xLow = data.x(int64(data.GetCount()*iLow/10.));
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dataXRange.SetXLow(xLow);
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sinusTend.GuessCoeff(dataXRange);
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if (sinusTend.Fit(dataXRange, r2SinusTend) < 0)
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break;
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if (!IsNull(r2SinusTendBest) && r2SinusTendBest > r2SinusTend)
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break;
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r2SinusTendBest = r2SinusTend;
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sinusTendBest = sinusTend;
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}
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if (IsNull(r2SinusTendBest)) {
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tabFit.opSinusTend = false;
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tabFit.opSinusTend.Enable(false);
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} else {
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splineFirst = false;
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r2SinusTend = r2SinusTendBest;
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sinusTend = sinusTendBest;
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}
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}
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if (tabFit.opSpline && splineFirst) {
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if (spline.Fit(data) < 0) {
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tabFit.opSpline = false;
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tabFit.opSpline.Enable(false);
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} else
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splineFirst = false;
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}
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OnUpdateSensitivity();
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tabFit.scatter.ScatterDraw::Show(0, tabFit.opSeries);
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tabFit.scatter.ScatterDraw::Show(1, tabFit.opAverage);
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tabFit.scatter.ScatterDraw::Show(2, tabFit.opLinear);
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tabFit.scatter.ScatterDraw::Show(3, tabFit.opCuadratic);
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tabFit.scatter.ScatterDraw::Show(4, tabFit.opCubic);
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tabFit.scatter.ScatterDraw::Show(5, tabFit.opSinus);
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tabFit.scatter.ScatterDraw::Show(6, tabFit.opSinusTend);
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tabFit.scatter.ScatterDraw::Show(7, tabFit.opSpline);
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tabFit.scatter.ScatterDraw::Show(8, tabFit.opMax);
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tabFit.scatter.ScatterDraw::Show(9, tabFit.opMin);
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tabFit.scatter.ScatterDraw::Show(10,tabFit.opMovAvg);
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tabFit.scatter.ScatterDraw::Show(11,tabFit.opSecAvg);
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UpdateEquations();
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OnShowEquation();
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}
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void ProcessingTab::OnAutoSensSector()
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{
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DataSource &data = tabFit.scatter.GetSeries(0);
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Vector<Pointf> secAvg;
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double baseWidth;
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baseWidth = 0;
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for (int64 i = 1; i < data.GetCount(); ++i)
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baseWidth += (data.x(i) - data.x(i-1));
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baseWidth /= (data.GetCount() - 1);
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double rangeX = data.x(data.GetCount() - 1) - data.x(int64(0));
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for(double width = baseWidth; width < rangeX/10.; width += baseWidth) {
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secAvg = data.SectorAverageY(width);
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VectorPointf sector(secAvg);
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Vector<int64> ids;
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sector.MaxListY(ids, 10*baseWidth);
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if (ids.GetCount() < 5) {
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tabFit.width <<= width;
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return;
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}
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}
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tabFit.scatter.Refresh();
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}
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void ProcessingTab::OnOperation()
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{
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if (exclamationOpened) // To avoid WhenLostFocus to be called when Exclamation() is opened
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return;
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exclamationOpened = true;
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if (!IsNull(tabOp.xLow) && !IsNull(tabOp.xHigh)) {
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if (tabOp.xLow >= tabOp.xHigh) {
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Exclamation(t_("'x >' has to be lower than 'x <'"));
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exclamationOpened = false;
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return;
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}
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}
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exclamationOpened = false;
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dataXRange.Init(pscatter->GetSeries(id), tabOp.xLow, tabOp.xHigh);
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tabOp.scatter.Refresh();
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}
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void ProcessingTab::UpdateField(const String _name, int _id)
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{
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id = _id;
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name.SetText(_name);
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tabFit.scatter.RemoveAllSeries();
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tabFit.scatter.AddSeries(pscatter->GetSeries(id)).SetSequentialX(pscatter->GetSequentialX())
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.Legend(pscatter->GetLegend(id));
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tabFit.scatter.SetFastViewX(pscatter->GetFastViewX());
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tabFit.scatter.SetFillColor(0, pscatter->GetFillColor(id));
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tabFit.scatter.Dash(0, pscatter->GetDash(id));
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Upp::Color color;
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double thickness;
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pscatter->GetStroke(0, thickness, color);
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tabFit.scatter.Stroke(0, thickness, color);
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tabFit.scatter.MarkStyle(0, pscatter->GetMarkStyleName(id));
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tabFit.scatter.SetMarkColor(0, pscatter->GetMarkColor(id));
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tabFit.scatter.SetMarkWidth(0, pscatter->GetMarkWidth(id));
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tabFit.scatter.MarkStyle(0, pscatter->GetMarkStyleName(id));
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tabFit.scatter.SetLegendAnchor(ScatterDraw::LEGEND_ANCHOR_RIGHT_TOP).SetLegendFillColor(Null);
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tabFit.scatter.Units(0, pscatter->GetUnitsX(id), pscatter->GetUnitsY(id));
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bool primary = pscatter->IsDataPrimaryY(id);
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tabFit.scatter.SetRange(pscatter->GetXRange(), primary ? pscatter->GetYRange() : pscatter->GetY2Range());
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tabFit.scatter.SetMajorUnits(pscatter->GetMajorUnitsX(), primary ? pscatter->GetMajorUnitsY() : pscatter->GetMajorUnitsY2());
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tabFit.scatter.SetXYMin(pscatter->GetXMin(), primary ? pscatter->GetYMin() : pscatter->GetY2Min());
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tabFit.scatter.ShowInfo().ShowContextMenu().ShowProcessDlg().ShowPropertiesDlg().SetMouseHandlingLinked(true, true);
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DataSource &data = tabFit.scatter.GetSeries(0);
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if (!data.IsParam()/* && !data.IsExplicit()*/) {
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double avg = data.AvgY();
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tabFit.eAverage = avg;
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tabFit.eRMS = data.RMSY();
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tabFit.eStdDev = data.StdDevY(avg);
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int64 idmx;
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double val;
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val = data.MaxY(idmx);
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if (!IsNull(val)) {
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tabFit.eMax = Format("(%f,%f)", data.x(idmx), val);
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Pointf p = data.MaxSubDataImpY(idmx, 3);
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if (!IsNull(p))
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tabFit.eMaxImp = Format("(%f,%f)", p.x, p.y);
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val = data.MinY(idmx);
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if (!IsNull(val))
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tabFit.eMin = Format("(%f,%f)", data.x(idmx), val);
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}
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}
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if (!data.IsParam() && !data.IsExplicit()) {
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tabFit.width <<= pscatter->GetXRange()/15.;
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tabFit.width.SetInc(pscatter->GetXRange()/15./2.);
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tabFit.scatter.AddSeries(average).NoMark().Stroke(1.5);
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tabFit.scatter.AddSeries(linear).NoMark().Stroke(1.5);
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tabFit.scatter.AddSeries(cuadratic).NoMark().Stroke(1.5);
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tabFit.scatter.AddSeries(cubic).NoMark().Stroke(1.5);
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tabFit.scatter.AddSeries(sinus).NoMark().Stroke(1.5);
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tabFit.scatter.AddSeries(sinusTend).NoMark().Stroke(1.5);
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tabFit.scatter.AddSeries(spline).NoMark().Dash(LINE_SOLID).Stroke(1.5);
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tabFit.scatter.AddSeries(upperEnvelope).Legend(pscatter->GetLegend(id) + String("-") + t_("Max"))
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.NoMark().Dash(LINE_DASHED).Stroke(1.5).SetSequentialX(true);
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tabFit.scatter.AddSeries(lowerEnvelope).Legend(pscatter->GetLegend(id) + String("-") + t_("Min"))
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.NoMark().Dash(LINE_DASHED).SetSequentialX(true);
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tabFit.scatter.AddSeries(movAvg).Stroke(1.5).Legend(pscatter->GetLegend(id) + String("-") + t_("MovAvg")).NoMark();
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tabFit.scatter.AddSeries(secAvg).Stroke(1.5).Legend(pscatter->GetLegend(id) + String("-") + t_("SecAvg")).NoMark();
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OnOp();
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} else {
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tabFit.opSeries.Enable(false);
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tabFit.opAverage.Enable(false);
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tabFit.opLinear.Enable(false);
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tabFit.opCuadratic.Enable(false);
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tabFit.opCubic.Enable(false);
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tabFit.opSinus.Enable(false);
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tabFit.opSinusTend.Enable(false);
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tabFit.opSpline.Enable(false);
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tabFit.opMax.Enable(false);
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tabFit.opMin.Enable(false);
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tabFit.opMovAvg.Enable(false);
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tabFit.opSecAvg.Enable(false);
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}
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Show();
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}
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void ProcessingTab::OnUpdateSensitivity()
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{
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DataSource &data = tabFit.scatter.GetSeries(0);
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bool refresh = false;
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if (tabFit.opMax && newWidthMax != tabFit.width) {
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newWidthMax = tabFit.width;
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upperEnvelope.Clear();
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Vector<int64> idsUpper = data.UpperEnvelopeY(tabFit.width);
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for (int i = 0; i < idsUpper.GetCount(); ++i)
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upperEnvelope << Pointf(data.x(idsUpper[i]), data.y(idsUpper[i]));
|
|
refresh = true;
|
|
}
|
|
if (tabFit.opMin && newWidthMin != tabFit.width) {
|
|
newWidthMin = tabFit.width;
|
|
|
|
lowerEnvelope.Clear();
|
|
Vector<int64> idsLower = data.LowerEnvelopeY(tabFit.width);
|
|
for (int i = 0; i < idsLower.GetCount(); ++i)
|
|
lowerEnvelope << Pointf(data.x(idsLower[i]), data.y(idsLower[i]));
|
|
refresh = true;
|
|
}
|
|
if (tabFit.opMovAvg && newWidthMovAvg != tabFit.width) {
|
|
newWidthMovAvg = tabFit.width;
|
|
|
|
movAvg = data.MovingAverageY(tabFit.width);
|
|
refresh = true;
|
|
}
|
|
if (tabFit.opSecAvg && newWidthMovAvg != tabFit.width) {
|
|
newWidthMovAvg = tabFit.width;
|
|
|
|
secAvg = data.SectorAverageY(tabFit.width);
|
|
refresh = true;
|
|
}
|
|
|
|
if (refresh)
|
|
tabFit.scatter.Refresh();
|
|
}
|
|
|
|
void ProcessingTab::OnSet()
|
|
{
|
|
DataSource &data = tabFit.scatter.GetSeries(0);
|
|
|
|
if (tabFreqFirst && tab.Get() == 1) {
|
|
tabFreqFirst = false;
|
|
if (data.IsParam() || data.IsExplicit()) {
|
|
tabFreq.comments.SetText(t_("Impossible to calculate FFT from a not sampled series"));
|
|
tabFreq.butFFT.Enable(false);
|
|
} else if (data.GetCount() < 5) {
|
|
tabFreq.comments.SetText(t_("Insufficient data to calculate FFT"));
|
|
tabFreq.butFFT.Enable(false);
|
|
} else {
|
|
double mindT, maxdT = Null;
|
|
mindT = -maxdT;
|
|
for (int64 i = 1; i < data.GetCount(); ++i) {
|
|
double d2 = data.x(i), d1 = data.x(i - 1);
|
|
|
|
if (!IsNull(d1) && !IsNull(d2)) {
|
|
double delta = (d2 - d1);
|
|
mindT = min(delta, mindT);
|
|
maxdT = max(delta, maxdT);
|
|
}
|
|
}
|
|
if ((maxdT - mindT)/maxdT > 0.00001)
|
|
tabFreq.comments.SetText(Format(t_("Sampling time changes from %f to %f"), mindT, maxdT));
|
|
else
|
|
tabFreq.comments.SetText("");
|
|
tabFreq.samplingTime = (maxdT + mindT)/2.;
|
|
}
|
|
} else if (tabOpFirst && tab.Get() == 2) {
|
|
tabOpFirst = false;
|
|
|
|
tabOp.scatter.RemoveAllSeries();
|
|
String legend = pscatter->GetLegend(id);
|
|
double xLow = pscatter->GetSeries(id).MinX();
|
|
if (IsNull(xLow))
|
|
xLow = pscatter->GetXMin();
|
|
tabOp.xLow <<= xLow;
|
|
double xHigh = pscatter->GetSeries(id).MaxX();
|
|
if (IsNull(xHigh))
|
|
xHigh = pscatter->GetXMin() + pscatter->GetXRange();
|
|
tabOp.xHigh <<= xHigh;
|
|
dataXRange.Init(pscatter->GetSeries(id), xLow, xHigh);
|
|
tabOp.scatter.AddSeries(dataXRange).SetSequentialX(pscatter->GetSequentialX())
|
|
.Legend(legend + String("-") + t_("Processed")).NoMark()
|
|
.Stroke(8, Upp::Color(115, 214, 74));
|
|
tabOp.scatter.AddSeries(pscatter->GetSeries(id)).SetSequentialX(pscatter->GetSequentialX())
|
|
.Legend(legend).NoMark().Stroke(2, Blue());
|
|
tabOp.scatter.SetFastViewX(pscatter->GetFastViewX());
|
|
|
|
tabOp.scatter.SetLegendAnchor(ScatterDraw::LEGEND_ANCHOR_RIGHT_TOP).SetLegendFillColor(Null);
|
|
|
|
tabOp.scatter.Units(0, pscatter->GetUnitsX(id), pscatter->GetUnitsY(id));
|
|
|
|
bool primary = pscatter->IsDataPrimaryY(id);
|
|
tabOp.scatter.SetRange(pscatter->GetXRange(), primary ? pscatter->GetYRange() : pscatter->GetY2Range());
|
|
tabOp.scatter.SetMajorUnits(pscatter->GetMajorUnitsX(), primary ? pscatter->GetMajorUnitsY() : pscatter->GetMajorUnitsY2());
|
|
tabOp.scatter.SetXYMin(pscatter->GetXMin(), primary ? pscatter->GetYMin() : pscatter->GetY2Min());
|
|
|
|
tabOp.scatter.ShowInfo().ShowContextMenu().ShowProcessDlg().ShowPropertiesDlg().SetMouseHandlingLinked(true, true);
|
|
} else if (tabBestFitFirst && tab.Get() == 3) {
|
|
tabBestFitFirst = false;
|
|
|
|
tabBestFit.scatter.RemoveAllSeries();
|
|
String legend = pscatter->GetLegend(id);
|
|
|
|
tabBestFit.scatter.AddSeries(pscatter->GetSeries(id)).SetSequentialX(pscatter->GetSequentialX())
|
|
.Legend(legend).NoMark().Stroke(2);
|
|
tabBestFit.scatter.SetFastViewX(pscatter->GetFastViewX());
|
|
|
|
tabBestFit.scatter.SetLegendAnchor(ScatterDraw::LEGEND_ANCHOR_RIGHT_TOP).SetLegendFillColor(Null);
|
|
|
|
tabBestFit.scatter.Units(0, pscatter->GetUnitsX(id), pscatter->GetUnitsY(id));
|
|
|
|
bool primary = pscatter->IsDataPrimaryY(id);
|
|
tabBestFit.scatter.SetRange(pscatter->GetXRange(), primary ? pscatter->GetYRange() : pscatter->GetY2Range());
|
|
tabBestFit.scatter.SetMajorUnits(pscatter->GetMajorUnitsX(), primary ? pscatter->GetMajorUnitsY() : pscatter->GetMajorUnitsY2());
|
|
tabBestFit.scatter.SetXYMin(pscatter->GetXMin(), primary ? pscatter->GetYMin() : pscatter->GetY2Min());
|
|
|
|
tabBestFit.scatter.ShowInfo().ShowContextMenu().ShowProcessDlg().ShowPropertiesDlg().SetMouseHandlingLinked(true, true);
|
|
}
|
|
}
|
|
|
|
void ProcessingTab::UpdateEquations()
|
|
{
|
|
tabFit.eqAverage = tabFit.opAverage ? average.GetEquation(tabFit.numDecimals) : "";
|
|
tabFit.eqLinear = tabFit.opLinear ? linear.GetEquation(tabFit.numDecimals) : "";
|
|
tabFit.r2Linear = tabFit.opLinear ? r2Linear : Null;
|
|
tabFit.eqCuadratic = tabFit.opCuadratic ? cuadratic.GetEquation(tabFit.numDecimals) : "";
|
|
tabFit.r2Cuadratic = tabFit.opCuadratic ? r2Cuadratic : Null;
|
|
tabFit.eqCubic = tabFit.opCubic ? cubic.GetEquation(tabFit.numDecimals) : "";
|
|
tabFit.r2Cubic = tabFit.opCubic ? r2Cubic : Null;
|
|
tabFit.eqSinus = tabFit.opSinus ? sinus.GetEquation(tabFit.numDecimals) : "";
|
|
tabFit.r2Sinus = tabFit.opSinus ? r2Sinus : Null;
|
|
tabFit.eqSinusTend = tabFit.opSinusTend ? sinusTend.GetEquation(tabFit.numDecimals) : "";
|
|
tabFit.r2SinusTend = tabFit.opSinusTend ? r2SinusTend : Null;
|
|
}
|
|
|
|
void ProcessingTab::OnShowEquation()
|
|
{
|
|
bool show = tabFit.showEquation;
|
|
tabFit.scatter.Legend(1, pscatter->GetLegend(id) + String("-") +
|
|
(show && tabFit.opAverage ? average.GetEquation(tabFit.numDecimals) : String(t_("Average"))));
|
|
tabFit.scatter.Legend(2, pscatter->GetLegend(id) + String("-") +
|
|
(show && tabFit.opLinear ? linear.GetEquation(tabFit.numDecimals) : String(t_("Linear"))));
|
|
tabFit.scatter.Legend(3, pscatter->GetLegend(id) + String("-") +
|
|
(show && tabFit.opCuadratic ? cuadratic.GetEquation(tabFit.numDecimals) : String(t_("Cuadratic"))));
|
|
tabFit.scatter.Legend(4, pscatter->GetLegend(id) + String("-") +
|
|
(show && tabFit.opCubic ? cubic.GetEquation(tabFit.numDecimals) : String(t_("Cubic"))));
|
|
tabFit.scatter.Legend(5, pscatter->GetLegend(id) + String("-") +
|
|
(show && tabFit.opSinus ? sinus.GetEquation(tabFit.numDecimals) : String(t_("Sinusoidal"))));
|
|
tabFit.scatter.Legend(6, pscatter->GetLegend(id) + String("-") +
|
|
(show && tabFit.opSinusTend ? sinusTend.GetEquation(tabFit.numDecimals) : String(t_("Sinusoidal tend"))));
|
|
tabFit.scatter.Legend(7, pscatter->GetLegend(id) + String("-") + String(t_("Spline")));
|
|
tabFit.scatter.Refresh();
|
|
}
|
|
|
|
void ProcessingTab::OnFFT()
|
|
{
|
|
String errText;
|
|
tabFreq.scatter.RemoveAllSeries();
|
|
double samplingTime = tabFreq.samplingTime;
|
|
if (samplingTime < 0) {
|
|
Exclamation(t_("Incorrect sampling time"));
|
|
return;
|
|
}
|
|
int64 idMaxFFT;
|
|
{
|
|
WaitCursor waitcursor;
|
|
|
|
DataSource &data = tabFit.scatter.GetSeries(0);
|
|
|
|
Vector<Pointf> orderedSeries;
|
|
for (int64 i = 0; i < data.GetCount(); ++i) { // Clean Nulls
|
|
if (!IsNull(data.x(i)) && !IsNull(data.y(i)))
|
|
orderedSeries << Pointf(data.x(i), data.y(i));
|
|
}
|
|
//if (orderedSeries.GetCount() != data.GetCount())
|
|
// errText << Format(t_("Removed %d Null points."), data.GetCount() - orderedSeries.GetCount());
|
|
|
|
PointfLess less;
|
|
Sort(orderedSeries, less);
|
|
|
|
Vector<double> resampledSeries;
|
|
resampledSeries << orderedSeries[0].y;
|
|
double nextSample = orderedSeries[0].x + samplingTime;
|
|
for (int i = 0; i < orderedSeries.GetCount() - 1;) {
|
|
if (orderedSeries[i].x == nextSample) {
|
|
resampledSeries << orderedSeries[i].y;
|
|
nextSample += samplingTime;
|
|
} else if (orderedSeries[i].x < nextSample && orderedSeries[i + 1].x > nextSample) { // Linear interpolation
|
|
resampledSeries << (orderedSeries[i].y + (orderedSeries[i + 1].y - orderedSeries[i].y)*
|
|
(nextSample - orderedSeries[i].x)/(orderedSeries[i + 1].x - orderedSeries[i].x));
|
|
nextSample += samplingTime;
|
|
} else
|
|
++i;
|
|
}
|
|
if (orderedSeries[orderedSeries.GetCount() - 1].x == nextSample)
|
|
resampledSeries << orderedSeries[orderedSeries.GetCount() - 1].y;
|
|
|
|
VectorY<double> series(resampledSeries, 0, samplingTime);
|
|
fft = series.FFTY(samplingTime, tabFreq.opXAxis == 1, tabFreq.type,
|
|
tabFreq.window.GetIndex(), tabFreq.num, tabFreq.overlapping);
|
|
VectorPointf fftData(fft);
|
|
fftData.MaxY(idMaxFFT);
|
|
Pointf p = fftData.MaxSubDataImpY(idMaxFFT, 3);
|
|
if (!IsNull(p))
|
|
tabFreq.eMax = Format("(%f,%f)", p.x, p.y);
|
|
|
|
if (tabFreq.type == DataSource::T_PSD) {
|
|
double m_1, m0, m1, m2;
|
|
fftData.GetSpectralMomentsY(tabFreq.opXAxis == 1, m_1, m0, m1, m2);
|
|
tabFreq.m_1 <<= FormatDouble(m_1);
|
|
tabFreq.m0 <<= FormatDouble(m0);
|
|
tabFreq.m1 <<= FormatDouble(m1);
|
|
tabFreq.m2 <<= FormatDouble(m2);
|
|
} else {
|
|
tabFreq.m_1 <<= "";
|
|
tabFreq.m0 <<= "";
|
|
tabFreq.m1 <<= "";
|
|
tabFreq.m2 <<= "";
|
|
}
|
|
}
|
|
if (fft.IsEmpty()) {
|
|
tabFreq.comments.SetText(errText);
|
|
Exclamation(t_("Error obtaining FFT"));
|
|
return;
|
|
}
|
|
|
|
String strtype;
|
|
switch(tabFreq.type) {
|
|
case DataSource::T_FFT: strtype = t_("FFT"); break;
|
|
case DataSource::T_PHASE: strtype = t_("FFT-phase [rad]"); break;
|
|
case DataSource::T_PSD: strtype = t_("Power Spectral Density"); break;
|
|
}
|
|
String legend = tabFit.scatter.GetLegend(0) + String("-") + strtype;
|
|
tabFreq.scatter.AddSeries(fft).Legend(legend);
|
|
tabFreq.scatter.ShowInfo().ShowContextMenu().ShowProcessDlg().ShowPropertiesDlg().SetMouseHandlingLinked(true, true);
|
|
tabFreq.scatter.SetLabelX(tabFreq.opXAxis == 1 ? t_("Frequency [Hz]") : t_("Period [sec]"));
|
|
tabFreq.scatter.SetLabelY(legend);
|
|
tabFreq.scatter.ZoomToFit(true, true);
|
|
if (idMaxFFT > 0 && fft[int(idMaxFFT)].x < (fft[fft.GetCount() - 1].x)/2)
|
|
tabFreq.scatter.SetRange(fft[int(idMaxFFT)].x*2, Null);
|
|
|
|
tabFreq.comments.SetText(errText);
|
|
}
|