The function plots performances of some given, identified assemblages.
plot_fass(fres, nbcl = 0, main = "Title", opt.ass = NULL )an object generated by the function fclust.
an integer.
The integer indicates the number of component clusters
to take into account.
It can be lower than or equals to
the optimum number fres$nbOpt of component clusters.
a string, that is used as the first, reference part of the title of each graph.
a list, that include
opt.ass = list(sample, who).
This option plot modelled and predicted by cross-validation performances
versus observed performances,
for a small sample of assemblages randomly drawn (sample),
or for given, identified assemblages chosen by the user (who).
The item order in list is any.
sample: an integer. This integer
specifies the number of assemblages
to randomly drawn in the assemblage set,
the plot as the option opt.perf = list("prd").
All chosen assemblages are plotted on a same graph.
who: a list of assemblage names.
The list contains the names of assemblages to plot.
Each assemblage is plotted on a specific graph.
This option is useful when ssemblage performances
are observed over several experiments.
Nothing. It is a procedure.
None.
plot_ftrees plot primary and secondary trees
resulting from functional clustering
plot_fperf plot observed, modelled and predicted performances
resulting from functional clustering
plot_fass plot performances of some given assemblages
plot_fmotif plot as boxplot mean performances
of assemblages sorted by assembly motifs
plot_fcomp plot as boxplot mean performances
of assemblages containing a given component
fclust_plot plot all possible outputs
of functional clustering