PROMiDAT/discoveR: Exploratory Data Analysis System

Performs an exploratory data analysis through a 'shiny' interface. It includes basic methods such as the mean, median, mode, normality test, among others. It also includes clustering techniques such as Principal Components Analysis, Hierarchical Clustering and the K-Means Method.

Getting started

Package details

AuthorOldemar Rodriguez R. with contributions from Diego Jimenez A. and Andres Navarro D.
MaintainerOldemar Rodriguez <[email protected]>
LicenseGPL (>=2)
Version1.1.0
URL http://www.promidat.com
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("PROMiDAT/discoveR")
PROMiDAT/discoveR documentation built on Aug. 14, 2019, 2:18 a.m.