Man pages for VFP
Variance Function Program

addGridAdd a Grid to an Existing Plot.
as.rgbConvert Color-Name or RGB-Code to Possibly Semi-Transparent...
B2mIntra_98Example Data B2mIntra_98.VFP (Beta-2-microglobulin RIA) from...
bt.coefBack-Transformation of Estimated Coefficients.
coef.VFPExtract Model-Coefficients from VFP-Objects.
conditionHandlerCondition-Handling Without Losing Information.
deriveCxDetermine C5 and C95 or any Concentration Cx.
fit.EP17Fit CLSI EP17 Model Using log-transformed X and Y.
fit.vfpEstimate (Im)Precision-Profiles Modeling the Relationship...
getMat.VCATransform list of VCA-object into VFP-matrix required for...
GlucoseExample Data Glucose.VFP from the Variance Function Program...
legend.rmAdd Legend to Right Margin.
MulitLotReproResultsResult of a Real-World Precsion Experiment on 10 Samples
plot.VFPPlot VFP-Ojbects.
powfun2simpleInternal Function Model 2.
powfun3Internal Function Model 3.
powfun3simpleInternal Function Model 3.
powfun4Internal Function Model 4.
powfun4simpleInternal Function Model 4.
powfun5Internal Function Model 5.
powfun5simpleInternal Function Model 5.
powfun6Internal Function Model 6.
powfun6simpleInternal Function Model 6.
powfun7Internal Function Model 7.
powfun7simpleInternal Function Model 7.
powfun8Internal Function Model 8.
powfun8simpleInternal Function Model 8.
powfun9simpleInternal Function Model 9.
precisionPlotPrecision Performance Plot of Qualitative Tests.
predictMeanFinding X-Value for Given Y-Value Using a Bisection-Approach.
predict.modelEP17Predict Method for Objects of Class 'modelEP17'.
predict.VFPPredict Method for Objects of Class 'VFP'.
print.VFPPrint Objects of Class 'VFP'
RealData1Result of a Real-World Precsion Experiment on 10 Samples
ReproDataSerum Work Area Example Data of a Reproducibility Experiment
SignifAdapted Version of Function 'signif'
summary.VFPSummary Objects of Class 'VFP'
T4S9_99Example Data T4S9_99.VFP (T4 RIA) from the Variance Function...
t.coefTransformation of Coefficients.
VFP-Package(V)ariance (F)unction (P)rogram
VFP documentation built on Nov. 10, 2022, 5:12 p.m.