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booklet  

Multivariate Exploratory Data Analysis
View on CRAN: Click here


Download and install booklet package within the R console
Install from CRAN:
install.packages("booklet")

Install from Github:
library("remotes")
install_github("cran/booklet")

Install by package version:
library("remotes")
install_version("booklet", "1.0.0")



Attach the package and use:
library("booklet")
Maintained by
Alex Yahiaoui Martinez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-04-24
Latest Update: 2025-04-24
Description:
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.
How to cite:
Alex Yahiaoui Martinez (2025). booklet: Multivariate Exploratory Data Analysis. R package version 1.0.0, https://cran.r-project.org/web/packages/booklet. Accessed 08 May. 2025.
Previous versions and publish date:
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Complete documentation for booklet
Functions, R codes and Examples using the booklet R package
Full booklet package functions and examples
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