anosim.pairwise: Pairwise multilevel comparison using anosim

In ZhonghuiGai/veganEx:

Description

Pairwise multilevel comparison using anosim

Usage

anosim.pairwise(
  x,
  grouping,
  sim.function = "vegdist",
  sim.method = "bray",
  p.adjust.m = "bonferroni",
  perm = 999
)

Arguments

x	Data matrix or data frame in which rows are samples and columns are response variable(s), or a dissimilarity object or a symmetric square matrix of dissimilarities
grouping	Factor for grouping observations.
sim.function	Function used to calculate the similarity matrix, one of 'daisy' or 'vegdist' default is 'vegdist'. Ignored if x is a distance matrix.
sim.method	Similarity method from daisy or vegdist, default is 'bray'. Ignored if x is a distance matrix.
p.adjust.m	The p.value correction method, one of the methods supported by p.adjust(), default is 'bonferroni'.
perm	permutations

Value

Table with the pairwise factors, anosim R, p.value and adjusted p.value.

Author(s)

ZH Gai

Examples

anosim.pairwise(iris[, 1:4], iris$Species)

ZhonghuiGai/veganEx documentation built on Dec. 18, 2021, 9:20 p.m.