plot_motifs_box: Plot performances of assembly motifs
In functClust: Functional Clustering of Redundant Components of a System

Description Usage Arguments Details Value

Plot performances of assembly motifs as boxplots, possibly horizontally or vertically, by decreasing or increasing values.

plot_motifs_box(fobs, assMotif, sres,
                ordre    = NULL,
                xylim    = range(fobs),
                main     = "",
                xlabel   = "",
                pvalue   = fpvalue(),
                opt.mean = "amean",
                opt.hor  = TRUE)

`fobs`	numeric vector. The vector contains assemblage performances.
`assMotif`	an integer vector of `length(fobs)`. The vector contains the labels of each assemblages. The labels are used to sorted the assemblages that share a same assembly motif.
`sres`	a table generated by the function `sort_motifs`. The table contains statistical properties of assembly motifs, sorted by increasing or decreasing mean performances.
`ordre`	an integer vector of `length(fobs)`. The vector contains labels for each assemblages, that determine the order for assembly motifs.
`xylim`	a vector of two numerics. The numerics are extrem values of performance `y-axis`.
`main`	a string. The string is used as graph title.
`xlabel`	a string. The string is used as label for abscissa (xlab).
`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.mean`	a character equals to `"amean"` or `"gmean"`. Switch to arithmetic formula if `opt.mean = "amean"`. Switch to geometric formula if `opt.mean = "gmean"`.
`opt.hor`	a logical. If `opt.hor = TRUE`, boxplot is plotted as horizontal boxes alongside a vertical y-axis of performances. If `opt.hor = FALSE`, boxplot is plotted as vertical boxes alongside a horizontal y-axis of performances.