sigbertklinke/smvgraph: Visualization and Clustering of Data in a Shiny App

Various visualisations of univariate and multivariate graphs (e.g. mosaic diagram, scatterplot matrix, Andrews curves, parallel coordinate diagram, radar diagram and Chernoff plots) as well as clustering methods (e.g. k-means, agglomerative, EM clustering and DBSCAN) are implemented as a Shiny app. The app allows interactive changes, e.g. of the order of variables. It is intended for use in teaching.

Getting started

Package details

Maintainer
LicenseGPL-3
Version0.2.0
URL https://github.com/sigbertklinke/smvgraph (development version)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("sigbertklinke/smvgraph")
sigbertklinke/smvgraph documentation built on Dec. 10, 2022, 9:13 a.m.