An R-tool for comprehensive science mapping analysis. A package for quantitative research in scientometrics and bibliometrics.

This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Decision tree, Multidimensional scaling, Multiple Factor Analysis, Machine learning, and Prophet analysis.

A repository for "The Latent Semantic Space and Corresponding Brain Regions of the Functional Neuroimaging Literature" -- http://www.biorxiv.org/content/early/2017/07/20/157826

Consensus Seriation for Binary Data

A Collection of Data-Sets, R-programs, and Vignettes for the Advanced Workshop in Sensory Evaluation of SPISE 2022.

Spectral Clustering Correspondence Analysis

Multivariate analysis and statistical modeling (with dimensional reduction) of NYC urban life pathologies

A script for automatic visualisation of Multiple Correspondence Analysis (MCA) results from FactoMineR in 3 dimensions using Plotly (exported as html)

Multivariate analysis (MVA) of high dimensional heterogeneous data

The reproducible code associated with the paper "From Plain to Sparse Correspondence Analysis: A Principal Component Analysis Approach"

R package for double constrained correspondence analysis with CWM-SNC scatter plots

Correspondence Analysis of Comorbidity of Chronic Diseases in Brazil 2013

Very simple CA (correspondance analysis) implementation in R allowing to easily project supplementary rows afterwards

Our analysis applies to the study of the results of 2017 French presidential elections according to each department and thus to study with R and Correspondence Analysis the behavior of the voters of each department.

Analysis of multi-trait multi-environment ecological data using double constrained correspondence analysis

Multivariate data analysis using R Studio.

Using a dataset that includes different types of smokers and a datasets with responses of housewives for their breakfast preferences, I'm exploring the concept of correspondance analysis.