amean_byelt: Arithmetic mean by components occurring within an assembly...
In functClust: Functional Clustering of Redundant Components of a System

Description Usage Arguments Details Value See Also

Take a vector fobs of performances of assemblages that share a same assembly motif, and return a vector of performances predicted as the arithmetic mean of performances of assemblages that contain the same components as the assemblage to predict.

1	amean_byelt(fobs, mOccur)

`fobs`	a numeric vector. The vector `fobs` contains the quantitative performances of assemblages.
`mOccur`	a matrix of occurrence (occurrence of components). Its first dimension equals to `length(fobs)`. Its second dimension equals to the number of components.

Modelled performances are computed using arithmetic mean (opt.mean = "amean") of performances. Assemblages share a same assembly motif. Modelled performances are the average of mean performances of assemblages that contain the same components as the assemblage to calibrate (opt.model = "byelt"). This procedure corresponds to a linear model with each assembly motif based on the component occurrence in each assemblage.

Return a vector of length(fobs). Its values are computed as the average of mean performances of assemblages that contain the same components as the assemblage to calibrate opt.model = "byelt" .

amean_byelt using arithmetic mean. gmean_byelt using geometric mean.

functClust documentation built on Dec. 2, 2020, 5:06 p.m.