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smsets

Description

The goal of smsets is to produce simple multivariate statistical tests and parameter estimation for means and variances / covariances when one single factor with two or more levels are involved. Analyses include:

  • Multiple two-sample t-tests for means.
  • Multiple two-sample Levene's tests for variances.
  • Two-sample Hotelling's $T^2$ test.
  • Extended Levene's tests for two multivariate samples based on Hotelling's $T^2$ test.
  • Two-sample van Valen's test.
  • One-way MANOVA.
  • Box's M test of variation for multivariate samples (F approximation).
  • Penrose's distance calculator

Getting started

You can install the development version of smsets from GitHub with:

devtools::install_github("ganava4/smsets")

Afterwards, just load it and it will be ready to use.

library("smsets")

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Version

Install

install.packages('smsets')

Monthly Downloads

268

Version

2.0.0

License

MIT + file LICENSE

Issues

2

Pull Requests

0

Stars

1

Forks

0

Maintainer

Jorge Navarro Alberto

Last Published

January 24th, 2026

Functions in smsets (2.0.0)

print.Penrose.dist

Prints Penrose's distance matrix
print.Levenetestsms.mv

Prints multiple Levene's tests of multivariate data.
print.ttests2s.mv

Prints multiple two-sample t-tests for a multivariate data set
print.VanValen

Prints van Valen's test
print.Levenetests2s.mv

Prints multiple two-sample Levene tests for the comparison of variation in multivariate data
smsets-package

smsets
print.LeveneT2

Prints Levene's test based on Hotelling's \(T^2\) test
print.OnewayMANOVA

Prints a one-way MANOVA with extra information
ttests2s.mv

Multiple two-sample t-tests for multivariate data
skulls

Egyptian male skulls
sparrows

Body measurements of female sparrows
Penrose.dist

Penrose's distance calculator
VanValen

van Valen's test
print.Hotelling.mat

Prints Hotelling's \(T^2\) test
Levenetestsms.mv

Robust Levene's Tests for the Comparison of Variation of m Samples in Multivariate Data
Levenetests2s.mv

Multiple two-sample Levene tests for the comparison of variation in multivariate data
BoxM.F

F approximation of Box's M test
print.BoxM.F

Prints Box'M test based on an F-statistic
Hotelling.mat

Hotelling's \(T^2\) test with extra information
LeveneT2

Levene's test for two multivariate samples based on Hotelling's \(T^2\) test with extra information
OnewayMANOVA

Tests in One-way MANOVA with extra information