sort_components: Sort assembly centroids by decreasing or increasing mean...
In functClust: Functional Clustering of Redundant Components of a System

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sort_components(fobs, mOccur, cols,
                pvalue  = fpvalue(),
                opt.dec = TRUE  )

`fobs`	numeric vector. The vector contains observed assemblage performances.
`mOccur`	a matrix of occurrence of components within the assemblages. `dim(mOccur)[1] = length(fobs)`. `dim(mOccur)[2]` equals to the total number of components.
`cols`	an integer vector of `length(fobs)`. The vector contains a colour label for each assemblages.
`pvalue`	a probability, used as threshold in the variance analysis. Then `pvalue` must be higher than `0` and lower than `1`. Groups significantly different (at a p-value < `pvalue`) are then indicated by differents letters on the right of boxplots.
`opt.dec`	a logical. If `opt.dec = TRUE`, assembly motifs are sorted by decreasing mean performances. If `opt.dec = FALSE`, assembly motifs are sorted by increasing mean performances.