discrim_factors_pairwise: Compute discriminating features betyeen cluster

In nibortolum/brunisol: Useful functions for the subawesome Brunii morphotype

Description

This function seeks to measure the importance of each variable on the composition of clusters. It computes a lda and extracts the scaling as proxy of the importance of the variable on cluster separation.

Usage

discrim_factors_pairwise(data, groups, p.adj = "bon")

Arguments

data	a matrix or dataframe of features
groups	a vector of groups
p.adj	The method to correct the 'p-value'. See p.adjust for available methods.

Value

a named list of pairwise comparisond

Examples

#' data(iris)
my_features <- iris[1:4]
my_groups <- iris$Species

discrim_factors_pairwise(my_features, my_groups, "bon")

nibortolum/brunisol documentation built on Nov. 4, 2019, 10:14 p.m.