Reputation: 6314
Also posted on CrossValidated but I think I might get more traction here.
I'm looking a R
packages that can test for differences in Gini
indices and Hill
numbers between two groups. The R
package
simboot
's sbdiv
function does that for the Shannon
and Simpson
diversity indices:
library(simboot)
data(predatGM)
#filter the predatGM data.frame to keep only two Variety groups and refactor:
predatGM <- dplyr::filter(predatGM,Variety %in% c("GM","S1"))
predatGM$Variety <- factor(predatGM$Variety, levels = c("GM","S1"))
simboot::sbdiv(X = dplyr::select(predatGM,-Block,-Variety),f = predatGM$Variety, theta = "Shannon", alternative = "two.sided")
simboot::sbdiv(X = dplyr::select(predatGM,-Block,-Variety),f = predatGM$Variety, theta = "Simpson", alternative = "two.sided")
So I'm looking for something equivalent for Gini
indices and Hill
numbers.
Upvotes: 0
Views: 55