Take a vector fobs
of performances of assemblages
and return a vector of performances
predicted as the arithmetic mean
of performances of assemblages
that share a same assembly motif
and that contain the same components as the assemblage to calibrate.
The assembly motifs are labelled in the vector assMotif.
The component composition of assemblages is specified
in the binary matrix mOccur:
0 if the component does not occur,
1 if the component occurs.
calibrate_amean_byelt(fobs, assMotif, mOccur)a numeric vector. The vector fobs contains the
quantitative performances of assemblages.
a vector of labels of length(fobs).
The vector assMotif contains the assembly motifs of assemblages.
a matrix of occurrence (occurrence of components).
Its first dimension equals to length(fobs). Its second dimension
equals to the number of components.
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 components
as the assemblage to calibrate opt.model = "byelt" .
Modelled performances are computed
using arithmetic mean (opt.mean = "amean") of performances.
Modelled performances are the average
of mean performances of assemblages
that share a same assembly motif and
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.
If no assemblage contains component belonging to assemblage to calibrate,
performance is the mean performance of all assemblages.
calibrate_amean_bymot arithmetic mean
by assembly motif.
calibrate_amean_byelt arithmetic mean
by elements occurring within assembly motif.
calibrate_gmean_bymot geometric mean
by assembly motif.
calibrate_gmean_byelt geometric mean
by elements occurring within assembly motif.