functClust (version 0.1.6)

fboot_plot: Plot the robustness of a functional clustering evaluated by bootstrapping from 1 to (all-1) observations

Description

Evaluate by bootstrapping the robustness of a functional clustering to perturbations of data. The perturbed data can be the number of assemblages taken into account, or the number of performances taken into account.

Usage

fboot_plot(fres, lboot, main = "", opt.crit = "Jaccard",
           opt.var  = c("assemblages", "performances"))

Arguments

fres

an object resulting from a functional clustering obtained using the function fclust.

lboot

an object resulting from a functional clustering obtained using the function fclust.

main

a string, used as main title for all plots.

opt.crit

an object resulting from a functional clustering obtained using the function fclust.

opt.var

an object resulting from a functional clustering obtained using the function fclust.

Value

a list of lists, each containing a matrix by clustering index.

Details

The trees obtained by bootstrapping of performances to omit are compared to the reference tree obtained with all components using different criteria : "Czekanowski_Dice", "Folkes_Mallows", "Jaccard", "Kulczynski", "Precision", "Rand", "Recall", "Rogers_Tanimoto", "Russel_Rao", "Sokal_Sneath1" and "Sokal_Sneath2" index. For more informations, see the notice of R-package clusterCrit.

References

Package "clusterCrit": Clustering Indices, by Bernard Desgraupes (University of Paris Ouest - Lab Modal'X)

Examples

# NOT RUN {
# Plot the significance of each component within each components cluster

layout(matrix(c(1,2,3,4), nrow = 2, ncol = 2, byrow = TRUE))
fboot_plot(fres  = CedarCreek.2004.2006.res,
           lboot = CedarCreek.2004.2006.boot.assemblages,
           main  = "BioDIV2",
           opt.var = "assemblages", opt.crit = "Jaccard")
layout(1)


# }