booklet

Multivariate exploratory data analysis in R

https://github.com/alexym1/booklet

Science Score: 26.0%

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    Low similarity (17.1%) to scientific vocabulary

Keywords

dimensionality-reduction multivariate-analysis r
Last synced: 6 months ago · JSON representation

Repository

Multivariate exploratory data analysis in R

Basic Info
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 2
  • Releases: 8
Topics
dimensionality-reduction multivariate-analysis r
Created over 1 year ago · Last pushed 6 months ago
Metadata Files
Readme Changelog Contributing License Code of conduct Codeowners

README.Rmd

---
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).

Owner

  • Name: Alex Yahiaoui Martinez
  • Login: alexym1
  • Kind: user

GitHub Events

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  • Create event: 2
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Last Year
  • Create event: 2
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  • Push event: 11
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Last synced: 6 months ago

All Time
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  • Average time to close issues: 21 days
  • Average time to close pull requests: 25 minutes
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  • Average comments per issue: 0.0
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Past Year
  • Issues: 1
  • Pull requests: 2
  • Average time to close issues: 21 days
  • Average time to close pull requests: 25 minutes
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
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Top Authors
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  • alexym1 (1)
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  • alexym1 (2)
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Packages

  • Total packages: 1
  • Total downloads:
    • cran 470 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
cran.r-project.org: booklet

Multivariate Exploratory Data Analysis

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 470 Last month
Rankings
Dependent packages count: 26.7%
Forks count: 29.1%
Dependent repos count: 32.9%
Stargazers count: 37.3%
Average: 42.5%
Downloads: 86.7%
Last synced: 6 months ago