pheur325: Potency with confidence intervals
In pla: Parallel Line Assays

Description Usage Arguments Details Value Author(s) References

Estimation of potency and confidence limits as described at page 480 in Ph.Eur (but with the Sums Of Squares computed by lm).

If complete data analyses is performed, then the slope and contrasts of intercepts are returned form the lm-fit, and confidence intervals for potency computed by Fieller's theorem.

pheur325(data,
         lmInteraction = NULL,
         lmRestricted = NULL,
         dr = 2,
         response = "Response",
         sampleLabels = levels(unlist(data["Sample"])),
         indexOfReference = 1,
         StdName = sampleLabels[indexOfReference],
         sampleStepName = "SampleStep",
         dfAdj = 0,
         factor = 1.0, 
         alpha = 0.05)

`data`	data.frame with the columns `response` and `sampleStepName`. Note that the slope then is determined by only the additional dilution ratio `dr`.
`lmInteraction`	Linear model for ANOVA table - with Sums of Squares.
`lmRestricted`	Linear model with estimates of regression parameters for complete analysis - when missing values are present.
`dr`	The dilution ratio of the equally spaced dilutions, see data2assayFrame.
`response`	A character string giving the name of the `response` column of `data`.
`sampleLabels`	A vector of character strings giving the labels of the `samples`. If `data["Sample"]` has one of these values, then these rows are used. These labels are also used for labels of the returned values.
`indexOfReference`	Index of the reference among the samples given by `sampleLabels`. If `data["Sample"]` has this value, then these rows are from the 'reference'.
`StdName`	A character string identifying the reference in the columns "Sample" of the input data.
`sampleStepName`	A character string giving the name of the `sampleStepName` column of `data`. This variable should identify both the `preparation` and the `dilution step`.
`dfAdj`	The needed adjustment of the number of degrees of freedom, if e.g. data are corrected for blocks, rows or columns, or if values are imputed before applying the model of the completely randomized design on block designs.
`factor`	A numeric (vector) to multiply on the estimated potency.
`alpha`	A real number, preferable between 0 and 1 - for the confidence interval.