smvgraph

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.

library("smvgraph")
#
splot(iris)
# 
smosaic(Titanic)
sandrews(iris)
schernoff(iris)
spairs(iris)
sparcoord(iris)
sradar(iris)
#
skmeans(iris)
shclust(iris)
smclust(iris)
sdbscan(iris)

Installation

From CRAN

install.packages("smvgraph")

From github

Note that from github you install the current development version.

library("devtools")
# install_github("sigbertklinke/smvgraph")
install.packages("smvgraph", repos = c('https://sigbertklinke.r-universe.dev', 'https://cloud.r-project.org'))