Plot performances of assemblages that contain a given component as boxplots, possibly horizontally or vertically, by decreasing or increasing values or in the same order as the tree clustering.
plot_components_box(fobs, mOccur, sres,
ordre = NULL, ylim = range(fobs),
elt.wdw = seq_len(dim(mOccur)[2]),
main = "",
pvalue = fpvalue(),
opt.mean = "amean", opt.hor = TRUE )a numeric vector. The vector fobs contains the
quantitative performances of assemblages.
a matrix of occurrence (occurrence of elements).
Its first dimension equals to length(fobs). Its second dimension
equals to the number of elements.
a table generated by the function sort_motifs.
The table contains statistical properties of assembly motifs,
sorted by increasing or decreasing mean performances.
an integer vector of length(fobs).
The vector contains labels for each assemblages,
that determine the order for assembly motifs.
a vector of two numerics.
The numerics are extrem values of performance y-axis.
a vector of integers. It indicates the components to plot.
a string. The string is used as graph title.
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.
a character equals to "amean" or "gmean".
Switch to arithmetic formula if opt.mean = "amean".
Switch to geometric formula if opt.mean = "gmean".
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.
Nothing. It is a procedure.
None.