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npmv  

Nonparametric Comparison of Multivariate Samples
View on CRAN: Click here


Download and install npmv package within the R console
Install from CRAN:
install.packages("npmv")

Install from Github:
library("remotes")
install_github("cran/npmv")

Install by package version:
library("remotes")
install_version("npmv", "2.4.0")



Attach the package and use:
library("npmv")
Maintained by
Amanda Ellis
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-07-29
Latest Update: 2017-01-09
Description:
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.
How to cite:
Amanda Ellis (2012). npmv: Nonparametric Comparison of Multivariate Samples. R package version 2.4.0, https://cran.r-project.org/web/packages/npmv. Accessed 04 Jan. 2025.
Previous versions and publish date:
1.0 (2012-07-29 20:17), 2.0 (2013-07-26 01:27), 2.1 (2013-12-04 19:18), 2.2 (2015-02-25 08:12), 2.3.0 (2015-08-30 20:52)
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Complete documentation for npmv
Functions, R codes and Examples using the npmv R package
Some associated functions: nonpartest . npmv-package . sberry . ssnonpartest . 
Some associated R codes: basenonpartest.R . nonpartest.R . ssnonpartest.R .  Full npmv package functions and examples
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