simFits {similarityRichards}R Documentation

Similarity of curves: 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 simFit):

The relative backfitted values are calculated, with fitting the Richards curves to each sample, for a list of list of samples.

Usage

simFits(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 each dataset.
applyFUN2X a function applied to each dataset of the REFERENCE, 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 individual samples), 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 simFit.

Value

List of matrices with relevant values, see simFit.

Author(s)

Jens Henrik Badsberg


[Package similarityRichards version 0.5.0 Index]