Functional Clustering of Redundant Components of a System


[Up] [Top]

Documentation for package ‘functClust’ version 0.1.6

Help Pages

functClust-package Functional Clustering of Redundant Components of a System
CedarCreek.2004.2006.boot.assemblages Evaluate by bootstrapping the robustness of species clustering to the number of assemblages (plots) used in the cluster analysis.
CedarCreek.2004.2006.boot.performances Evaluate by bootstrapping the robustness of species clustering to the number of performances (annual biomass) used in the cluster analysis.
CedarCreek.2004.2006.dat Data of Cedar Creek experiment for the years 2004, 2005 and 2006
CedarCreek.2004.2006.res Functional clustering of species used in Cedar Creek experiment for the years 2004, 2005 and 2006
CedarCreek.2004.2006.test.assemblages Test of significance of species assemblages (plots) used in Cedar Creek experiment for the years 2004, 2005 and 2006
CedarCreek.2004.2006.test.components Test of significance of components (species) used in Cedar Creek experiment for the years 2004, 2005 and 2006
CedarCreek.2004.2006.test.performances Test of significance of different performances (yearly biomass) used in Cedar Creek experiment for the years 2004, 2005 and 2006
CedarCreek.2004.res Functional clustering of species used in Cedar Creek experiment for the year 2004
fboot Evaluate the robustness of a functional clustering by bootstrapping from 1 to (all-1) observations
fboot_plot Plot the robustness of a functional clustering evaluated by bootstrapping from 1 to (all-1) observations
fboot_read Read the robustness of a functional clustering evaluated by bootstrapping from 1 to (all-1) observations
fboot_write Record the robustness of a functional clustering evaluated by bootstrapping from 1 to (all-1) observations
fclust Build a functional clustering for one or more performances
fclust_plot Plot various graphs of a functional clustering for one or several performances
fclust_read Read a functional clustering for one or several performances
fclust_write Record a functional clustering for one or several performances
ftest Test the significance of different variables of a functional clustering
ftest_plot Plot the significance of different variables of a functional clustering
ftest_read Read the significance of different variables of a functional clustering
ftest_write Record the significance of different variables of a functional clustering