predict_amean_bymot: Prediction of supplementary assemblages by motif
In functClust: Functional Clustering of Redundant Components of a System
Description
Usage
Arguments
Details
Value
Description
Takes a numeric f.
Usage
1
predict_amean_bymot(appFct, appMotifs, supMotifs)
Arguments
appFct
a vector of numeric values (assembly properties).
appMotifs
a vector of labels of length(fct) (assembly motifs).
supMotifs
a vector of labels of length(fct) (assembly motifs).
Details
Prediction ...
Value
Return a vector of length(supMotifs). The values are
computed using arithmetic mean
of components belonging to appMotifs
and sharing a same motif.
functClust documentation built on Dec. 2, 2020, 5:06 p.m.
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Description Usage Arguments Details Value
Description
Takes a numeric f.
Usage
1 | predict_amean_bymot(appFct, appMotifs, supMotifs)
|
Arguments
appFct |
a vector of numeric values (assembly properties). |
appMotifs |
a vector of labels of |
supMotifs |
a vector of labels of |
Details
Prediction ...
Value
Return a vector of length(supMotifs). The values are
computed using arithmetic mean
of components belonging to appMotifs
and sharing a same motif.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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