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booklet: Multivariate Exploratory Data Analysis
Exploratory data analysis methods to summarize, visualize and describe datasets. The main principal component methods are available, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) when variables are categorical, Multiple Factor Analysis (MFA) when variables are structured in groups.
Getting started
Browse package contents
Package details |
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| Author | Alex Yahiaoui Martinez [aut, cre] (<https://orcid.org/0000-0002-5315-675X>) |
| Maintainer | Alex Yahiaoui Martinez <yahiaoui-martinez.alex@outlook.com> |
| License | MIT + file LICENSE |
| Version | 1.0.0 |
| URL | https://github.com/alexym1/booklet https://alexym1.github.io/booklet/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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