calibrate_amean_bymot_xpr: Modelling of performances by assembly motif over several...
In functClust: Functional Clustering of Redundant Components of a System

Description Usage Arguments Details Value See Also

Take a vector fobs of assembly performances over several experiments and return a vector of performances predicted as the arithmetic mean of performances of all assemblages that share the same assembly motif.

Assembly motifs are labelled in the vector assMotif. Experiments are labelled in the vector xpr.

1	calibrate_amean_bymot_xpr(fobs, assMotif, xpr)

`fobs`	a numeric vector. The vector `fobs` contains the quantitative performances of assemblages.
`assMotif`	a vector of labels of `length(fobs)`. The vector `assMotif` contains the assembly motifs of assemblages.
`xpr`	a vector of numerics of `length(fobs)`. The vector `xpr` contains the weight of each experiment, and the labels (in `names(xpr)`) of different experiments. The weigth of each experiment is used in the computation of the Residual Sum of Squares in the function `rss_clustering`. All assemblages that belong to a given experiment should then have a same weigth. Each experiment is identified by its names (`names(xpr)`) and the RSS of each experiment is weighted by values of `xpr`. The vector `xpr` is generated by the function `stats::setNames`.

Modelled performances are computed using arithmetic mean (opt.mean = "amean") of performances of assemblages that share a same assembly motif (opt.model = "bymot") by including all assemblages that belong to a same assembly motif.

Return a vector of length(fobs). Its values are computed as the arithmetic mean of performances of all assemblages that share a same assembly motif, experiment by experiment.

calibrate_amean_bymot_xpr arithmetic mean by assembly motif.
calibrate_amean_byelt_xpr arithmetic mean by elements occurring within assembly motif.
calibrate_gmean_bymot_xpr geometric mean by assembly motif.
calibrate_gmean_byelt_xpr geometric mean by elements occurring within assembly motif.