Ldisper: Test significance of dispersion among subaggregate within...

In HierDpart: Partitioning Hierarchical Diversity and Differentiation Across Metrics and Scales, from Genes to Ecosystems

Description

Test significance of dispersion among subaggregate within aggregate.Here we used dispersion for testing the variance within the aggregate

Usage

Ldisper(f, ncode, group)

Arguments

f	genepop file
ncode	genetype coding type
group	the level of aggregate you want to test

Value

dispersion	Multivariate homogeneity of group dispersions
pertestdis	Permutation test of significance among groups(aggregates)

Author(s)

[e-mail]

References

Anderson, M.J. (2006) Distance-based tests for homogeneity of multivariate dispersions. Biometrics 62, 245-253.

Anderson, M.J., Ellingsen, K.E., McArdle, B.H. (2006) Multivariate dispersion as a measure of beta diversity. Ecology Letters 9, 683-693.

ONeill, M.E. (2000) A Weighted Least Squares Approach to Levene s Test of Homogeneity of Variance. Australian and New Zealand Journal of Statistics 42, 8-100.

Examples

f <- system.file('extdata',package='HierDpart')
infile <- file.path(f, "Island.gen")
region1=paste("region",rep(1,time=6))
region2=paste("region",rep(2,time=6))
region3=paste("region",rep(3,time=2))
region4=paste("region",rep(4,time=2))

level1=data.frame(matrix(data=0,nrow=16,ncol=1))
level1[1:6,1]=region1
level1[7:12,1]=region2
level1[13:14,1]=region3
level1[15:16,1]=region4
colnames(level1)=c("region")

ldis=Ldisper(infile,ncode=3,group=level1$region)
ldis$dispersion
ldis$pertestdis

HierDpart documentation built on March 31, 2021, 5:09 p.m.