Package: booklet 1.0.1

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.

Authors:Alex Yahiaoui Martinez [aut, cre]

booklet_1.0.1.tar.gz
booklet_1.0.1.zip(r-4.7)booklet_1.0.1.zip(r-4.6)booklet_1.0.1.zip(r-4.5)
booklet_1.0.1.tgz(r-4.6-any)booklet_1.0.1.tgz(r-4.5-any)
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booklet_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
booklet/json (API)

# Install 'booklet' in R:
install.packages('booklet', repos = c('https://alexym1.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/alexym1/booklet/issues

Pkgdown/docs site:https://alexym1.github.io

On CRAN:

Conda:

dimensionality-reductionmultivariate-analysis

4.74 score 1 stars 37 scripts 565 downloads 29 exports 0 dependencies

Last updated from:c2d2fdd81e. Checks:8 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK168
source / vignettesOK221
linux-release-x86_64OK155
macos-release-arm64OK100
macos-oldrel-arm64OK84
windows-develOK84
windows-releaseOK91
windows-oldrelOK143
wasm-releaseFAIL1437

Exports:ca_col_contribca_col_coordsca_col_cos2ca_col_inertiaca_col_sup_coordsca_col_sup_cos2ca_row_contribca_row_coordsca_row_cos2ca_row_inertiaca_row_sup_coordsca_row_sup_cos2ca_standardizeca_standardize_supca_weighted_eigenfacto_cafacto_mfafacto_pcapca_eigenpca_ind_contribpca_ind_coordspca_ind_cos2pca_standardizepca_standardize_normpca_var_contribpca_var_coordspca_var_corpca_var_cos2pca_weighted_eigen

Dependencies:

Comparison with FactoMineR

Rendered fromComparison.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2025-04-11
Started: 2024-07-09

Data visualization with factoextra

Rendered fromextensions.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2025-04-11
Started: 2024-06-22

Introduction to booklet

Rendered frombooklet.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2025-04-11
Started: 2025-04-11