Package index • The 'diffval' package for R

TDV calculation

Core function (contains an explanation on how TDV is calculated)

tdv(): The Total Differential Value of a phytosociological table

Optimization functions

Functions that search partitions of the columns of a phytosociological table, optimizing the TDV

optim_tdv_gurobi_k_2(): Total Differential Value optimization using Gurobi

optim_tdv_hill_climb(): Total Differential Value optimization using Hill-climbing algorithms

optim_tdv_simul_anne(): Total Differential Value optimization using a Simulated Annealing (and GRASP) algorithm(s)

Tabulation and vizualization

Functions to sort a phytosociological table and to explore the result graphically

tabulation(): Rearrange a phytosociological table, showing differential taxa on top

explore_tabulation(): Interactively explore a tabulation of a phytosociological matrix

Functions to obtain partitions

Functions that produce (with heuristics) relatively good and fast partitions that can feed the optimization functions

partition_tdv_grasp(): Obtain a partition using a GRASP algorithm

partition_tdv_grdtp(): Obtain a partition using a Greedy-type algorithm

Functions for big data sets

Functions that are able to handle big data sets

bigdata_tdv(): The Total Differential Value of a big phytosociological data set

Other functions and data sets

Utitly functions and data sets

identical_partition(): Do the vectors represent the same k-partition?

taxus_bin: Taxus baccata forests