amean_byelt_LOO: Predicting the performances by elements occurring within...
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 elements as the assemblage to predict.

All assemblages share the same assembly motif.

1	amean_byelt_LOO(fobs, mOccur)

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

Modelled performances are computed using arithmetic mean opt.mean = "amean" of performances. Assemblages share a same assembly motif opt.model = "bymot". Modelled performances are the average of mean performances of assemblages that contain the same elements as the assemblage to predict, except the assemblage to predict. This procedure corresponds to a linear model with each assembly motif based on the element occurrence in each assemblage.

Return a vector of length(fobs). Its values are computed as the average of mean performances of assemblages that share the same assembly motif and that contain the same elements as the assemblage to predict opt.model = "byelt" .

amean_bymot_LOO arithmetic mean by assembly motif
gmean_bymot_LOO geometric mean by assembly motif
gmean_byelt_LOO geometric mean by elements occurring within assembly motif