relFits {similarityRichards}R Documentation

Relative potency: Relative backfitted values - for a list of experiments

Description

For each item (experiment) in the argument list the following is computed for each sample in the experiment (by relFit):

The backfitted values (by the REFERENCE-curve) for the mean of the dependent values of the sample at the independent value relative the 'actual' independent values.

Usage

relFits(object, FUN, 
                applyFUN2X = function(X, FUN, ...) FUN(X, ...), 
                refName = "Ref", ...)

Arguments

object a list of list of datasets. (The double 'list of' is not a typo!)
FUN a function for estimating the model for the REFERENCE of each dataset.
applyFUN2X a function applied to the REFERENCE of each dataset, retrieving starting value and fixing outliers, and then calling the function FUN to estimate the model for the modified dataset of the REFERENCE.
refName a text string, naming the REFERENCE in the list of datasets for each item in object.
... additional arguments, to applyFUN2X.

Details

The relative backfitted values are calculated (with computation of the fits of the Richards curves for the REFERENCE), for a list of list of samples.

The list of list is defined as follows: a list of datasets (each for a sample), in a list of experiments.

For each sample different from the REFERENCE in an experiment (the sublist), the sublist the item in the argument list, the relative backfitted values are calculated by relFit.

Value

List of matrices with relevant values, see relFit.

Author(s)

Jens Henrik Badsberg

See Also

See also relFit.


[Package similarityRichards version 0.5.0 Index]