Best.Index: Jack-knife indices in a single topology m times and evaluates...

In Dmirandae/jrich: Jack-Knife Support for Evolutionary Distinctiveness Indices I and W

Description

The function jack-knifes the terminals and calculates the indices value m (=replicates) times.

Usage

Best.Index(tree = tree, distribution = distribution, jtip = jtip,
  replicates = replicates, success = c(success))

Arguments

tree	is a single tree with n terminals, an ape phylo object.
distribution	species distributions in n areas, a data.frame
jtip	is the proportion of terminals to delete, real (range 0-1).
replicates	is the number of replicates, an integer.
success	the measure of the success, a vector.

Value

The function returns the success that correspond to obtain the same ranking for X,Y positions, established as the vector success (by default success)).

The function returns the success that corresponds to obtain the same ranking for X,Y positions, established as the vector success (by default success))

Author(s)

Miranda-Esquivel Daniel R.

Examples

library(jrich)
data(tree)
data(distribution)

Best.Index(tree = tree, distribution = distribution, jtip =0.5, replicates =10, success=1)

Dmirandae/jrich documentation built on May 6, 2019, 2:50 p.m.