npmv: Nonparametric Comparison of Multivariate Samples

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Performs analysis of one-way multivariate data, for small samples using Nonparametric techniques. Using approximations for ANOVA Type, Wilks' Lambda, Lawley Hotelling, and Bartlett Nanda Pillai Test statics, the package compares the multivariate distributions for a single explanatory variable. The comparison is also performed using a permutation test for each of the four test statistics. The package also performs an all-subsets algorithm regarding variables and regarding factor levels.

Author
Woodrow Burchett and Amanda Ellis
Date of publication
2015-08-30 20:52:33
Maintainer
Amanda Ellis <arelli4@uky.edu>
License
GPL-2
Version
2.3.0

View on CRAN

Man pages

nonpartest
Nonparametric Comparison of Multivariate Samples
npmv-package
Nonparametric Comparison of Multivariate Samples
sberry
Strawberry Fungal Data
ssnonpartest
Nonparametric Comparison of Multivariate Samples Using Subset...

Files in this package

npmv
npmv/NAMESPACE
npmv/data
npmv/data/sberry.rda
npmv/R
npmv/R/basenonpartest.R
npmv/R/ssnonpartest.R
npmv/R/nonpartest.R
npmv/MD5
npmv/DESCRIPTION
npmv/man
npmv/man/sberry.Rd
npmv/man/npmv-package.Rd
npmv/man/ssnonpartest.Rd
npmv/man/nonpartest.Rd