plot_fass: Plot performances of some given assemblages

In functClust: Functional Clustering of Redundant Components of a System

Description

The function plots performances of some given, identified assemblages.

Usage

plot_fass(fres, nbcl = 0, main = "Title", opt.ass = NULL )

Arguments

fres	an object generated by the function fclust.
nbcl	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.
main	a string, that is used as the first, reference part of the title of each graph.
opt.ass	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.

Details

None.

Value

Nothing. It is a procedure.

See Also

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

functClust documentation built on Dec. 2, 2020, 5:06 p.m.