The R Analytic Tool To Learn Easily (Rattle) provides a Gnome (RGtk2) based interface to R functionality for data science. The aim is to provide a simple and intuitive interface that allows a user to quickly load data from a CSV file (or via ODBC), transform and explore the data, build and evaluate models, and export models as PMML (predictive modelling markup language) or as scores. All of this with knowing little about R. All R commands are logged and commented through the log tab. Thus they are available to the user as a script file or as an aide for the user to learn R or to copy-and-paste directly into R itself. Rattle also exports a number of utility functions and the graphical user interface, invoked as rattle(), does not need to be run to deploy these.

Documentation

Manual: rattle.pdf
Vignette: Rattle Quick Start Guide

Maintainer: Graham Williams <Graham.Williams at togaware.com>

Author(s): Graham Williams*, Mark Vere Culp*, Ed Cox*, Anthony Nolan*, Denis White*, Daniele Medri*, Akbar Waljee* (OOB AUC for Random Forest), Brian Ripley* (print.summary.nnet), Jose Magana* (ggpairs plots), Surendra Tipparaju* (initial RevoScaleR/XDF), Durga Prasad Chappidi* (initial RevoScaleR/XDF), Dinesh Manyam Venkata* (initial RevoScaleR/XDF), Mrinal Chakraborty* (initial RevoScaleR/XDF), Fang Zhou* (initial xgboost)

Install package and any missing dependencies by running this line in your R console:

install.packages("rattle")

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Package rattle
Materials
URL http://rattle.togaware.com/
Task Views MachineLearning
Version 5.1.0
Published 2017-09-05
License GPL (>= 2)
BugReports
SystemRequirements
NeedsCompilation no
Citation
CRAN checks rattle check results
Package source rattle_5.1.0.tar.gz