Description Usage Arguments Value Author(s) References Examples
Test significance of dispersion among subaggregate within aggregate.Here we used dispersion for testing the variance within the aggregate
1 |
f |
genepop file |
ncode |
genetype coding type |
group |
the level of aggregate you want to test |
dispersion |
Multivariate homogeneity of group dispersions |
pertestdis |
Permutation test of significance among groups(aggregates) |
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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.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | 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
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