hcastel1/IMVA_Package: Interactive Exploratory Multivariate Analysis Shiny app

This app was inspired by the FactoShiny package which implements multivariate analysis (unsupervised learning / data mining) methods: Principal Component Analysis, Cluster Analysis and Multiple Correspondence Analysis from the FactoMineR package in a shiny application. In turn, this app implements multivariate analysis methods from the FactoMineR package with interactive output plots and data objects in addition to reactivity from user inputs typical of a shiny app.

Getting started

Package details

LicenseGPL-3 | file LICENSE
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
hcastel1/IMVA_Package documentation built on May 29, 2019, 7:13 a.m.