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https://github.com/coatless-rpkg/msos
msos: Data Sets and Functions Used in Multivariate Statistics: Old School by John Marden
https://github.com/coatless-rpkg/msos
multivariate r statistics
Last synced: about 2 months ago
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msos: Data Sets and Functions Used in Multivariate Statistics: Old School by John Marden
- Host: GitHub
- URL: https://github.com/coatless-rpkg/msos
- Owner: coatless-rpkg
- License: other
- Created: 2014-01-22T15:33:24.000Z (almost 11 years ago)
- Default Branch: main
- Last Pushed: 2023-11-14T08:19:10.000Z (about 1 year ago)
- Last Synced: 2024-11-06T22:48:27.137Z (about 2 months ago)
- Topics: multivariate, r, statistics
- Language: R
- Homepage: http://r-pkg.thecoatlessprofessor.com/msos/
- Size: 565 KB
- Stars: 3
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.Rmd
- License: LICENSE
Awesome Lists containing this project
README
---
output: github_document
---```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "README-"
)
```## msos
[![R-CMD-check](https://github.com/coatless-rpkg/msos/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/coatless-rpkg/msos/actions/workflows/R-CMD-check.yaml)
[![CRAN RStudio mirror downloads](https://cranlogs.r-pkg.org/badges/msos)](https://cran.r-project.org/package=msos)
[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/msos)](https://cran.r-project.org/package=msos)Multivariate Analysis methods and data sets used
in John Marden's [Multivariate Statistics: Old School](https://stat.istics.net/Multivariate/) (2015) ISBN: [978-1456538835](https://www.amazon.com/gp/product/1456538837).
This also serves a companion package for the STAT 571: Multivariate Analysis course
offered in the [Department of Statistics](https://stat.illinois.edu) at the
[University of Illinois at Urbana-Champaign (UIUC)](https://illinois.edu).### Installation
The `msos` package is available on both CRAN and GitHub. The CRAN version is
considered stable while the GitHub version is in a state of development and
may break.You can install the stable version of the `msos` package with:
```r
install.packages("msos")
```For those who like living on the edge, feel free to use a copy of the
development version by doing:```r
if(!requireNamespace("remotes")) { install.packages("remotes") }# Install the package from github
remotes::install_github("coatless-rpkg/msos")
```### Authors
John Marden and James Balamuta
### Licensing
MIT