Uses of Class
edu.cnu.mdi.splot.pdata.FitVectors

Packages that use FitVectors

Package	Description
edu.cnu.mdi.splot.pdata	Data-model classes for the splot plotting library.

Uses of FitVectors in edu.cnu.mdi.splot.pdata

Subclasses of FitVectors in edu.cnu.mdi.splot.pdata

Modifier and Type	Class	Description
static final class	HistoFitPrep.FitWindowData	A FitVectors that also records which peak bin and window were actually used.

Methods in edu.cnu.mdi.splot.pdata that return FitVectors

Modifier and Type	Method	Description
FitVectors	HistoData.prepareForFit(boolean includeZeroBins)	Convenience delegation: prepares fit vectors over the full x-range.
FitVectors	HistoData.prepareForFit(boolean includeZeroBins, double xmin, double xmax, boolean poissonWeights)	Convenience delegation: prepares fit vectors over a data-space x-range.
FitVectors	HistoData.prepareForFit(boolean includeZeroBins, int bin0, int bin1, boolean poissonWeights)	Convenience delegation: prepares fit vectors over an inclusive bin-index range.
static FitVectors	HistoFitPrep.prepareForFit(HistoData h, boolean includeZeroBins)	Prepares fit vectors over the full x-range using unit weights.
static FitVectors	HistoFitPrep.prepareForFit(HistoData h, boolean includeZeroBins, double xmin, double xmax, boolean poissonWeights)	Prepares fit vectors over a data-space x-range.
static FitVectors	HistoFitPrep.prepareForFit(HistoData h, boolean includeZeroBins, int bin0, int bin1, boolean poissonWeights)	Prepares fit vectors over an inclusive bin-index range.
FitVectors	HistoData.prepareForFitAroundPeak(boolean includeZeroBins, int peakBin, int halfWindowBins, boolean poissonWeights)	Convenience delegation: prepares fit vectors in a symmetric window around a given peak bin.
static FitVectors	HistoFitPrep.prepareForFitAroundPeak(HistoData h, boolean includeZeroBins, int peakBin, int halfWindowBins, boolean poissonWeights)	Prepares fit vectors in a symmetric window around a given peak bin.
static FitVectors	FitVectors.testData(Evaluator evaluator, double xStart, double xEnd, int nPoints, double jitterPercent, double sigmaYPercent)	Generate test data (with randomness)for fitting.

Methods in edu.cnu.mdi.splot.pdata with parameters of type FitVectors

Modifier and Type	Method	Description
protected FitResult	ACurve.fitWithOptionalWeights(IFitter fitter, FitVectors v)	Common pattern: if weights exist, call the weighted fit overload; otherwise call fit(x,y).