https://github.com/alexym1/booklet

Multivariate exploratory data analysis in R
https://github.com/alexym1/booklet

dimensionality-reduction multivariate-analysis r

Last synced: 4 months ago
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Multivariate exploratory data analysis in R

• Host: GitHub
• URL: https://github.com/alexym1/booklet
• Owner: alexym1
• License: other
• Created: 2024-06-10T17:48:42.000Z (about 2 years ago)
• Default Branch: master
• Last Pushed: 2025-09-02T18:47:03.000Z (10 months ago)
• Last Synced: 2025-12-09T04:17:32.259Z (7 months ago)
• Topics: dimensionality-reduction, multivariate-analysis, r
• Language: R
• Homepage: https://alexym1.github.io/booklet/
• Size: 4.82 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.Rmd
  • Changelog: NEWS.md
  • Contributing: .github/CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: .github/CODE_OF_CONDUCT.md
  • Codeowners: .github/CODEOWNERS.txt

Awesome Lists containing this project

README

          
---

output: github_document

always_allow_html: true

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

# booklet 

[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/booklet)](https://cran.r-project.org/package=booklet)

[![](https://cranlogs.r-pkg.org/badges/booklet)](https://cran.r-project.org/package=booklet)

![](https://img.shields.io/badge/github%20version-1.0.1-green.svg)

[![R-CMD-check](https://github.com/alexym1/booklet/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/alexym1/booklet/actions/workflows/R-CMD-check.yaml)

[![Codecov test coverage](https://codecov.io/gh/alexym1/booklet/branch/master/graph/badge.svg)](https://app.codecov.io/gh/alexym1/booklet?branch=master)

> Multivariate exploratory data analysis in R

## Overview

`booklet` is a ground-up rewrite of [FactoMineR](https://github.com/husson/FactoMineR/tree/master) that provides a set of functions for multivariate exploratory data analysis. It is designed to be a more user-friendly version of `FactoMineR`. The main goal was to make the package more intuitive and easier to use. The package is still under development, and some functions are not yet implemented. However, the main functions are already available.

## Installation

The `booklet` package can be installed from CRAN as follows:

```{r eval = FALSE}

install.packages("booklet")

```

The latest version can be installed from GitHub as follows: 

```{r eval = FALSE}

# install.packages("pak")

pak::pak("alexym1/booklet")

```

## Example

```{r, message = FALSE, warning = FALSE}

library(booklet)

# Get active individuals

X_active <- pca_standardize_norm(iris[, -5])

head(X_active)

```

```{r, message = FALSE, warning = FALSE}

# Get eigs

eigs <- pca_eigen(X_active)

eigs$values

```

```{r, message = FALSE, warning = FALSE}

# Get principal components

ind_coords <- pca_ind_coords(eigs)

head(ind_coords)

```

## Code of conduct

Please note that this project is released with a [Contributor Code of Conduct](https://alexym1.github.io/booklet/CONTRIBUTING.html). By participating in this project you agree to abide by its terms.

## Acknowledgments

This logo was created by [@obstacle.graphic](https://linktr.ee/obstacle.graphic).