rattle: Graphical User Interface for Data Science in R

The R Analytic Tool To Learn Easily (Rattle) provides a collection of utilities functions for the data scientist. A Gnome (RGtk2) based graphical interface is included with the aim to provide a simple and intuitive introduction to R for data science, allowing 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. A key aspect of the GUI is that all R commands are logged and commented through the log tab. This can be saved as a standalone R script file and as an aid for the user to learn R or to copy-and-paste directly into R itself.

Package details

AuthorGraham Williams [aut, cph, cre], Mark Vere Culp [cph], Ed Cox [ctb], Anthony Nolan [ctb], Denis White [cph], Daniele Medri [ctb], Akbar Waljee [ctb] (OOB AUC for Random Forest), Brian Ripley [cph] (print.summary.nnet), Jose Magana [ctb] (ggpairs plots), Surendra Tipparaju [ctb] (initial RevoScaleR/XDF), Durga Prasad Chappidi [ctb] (initial RevoScaleR/XDF), Dinesh Manyam Venkata [ctb] (initial RevoScaleR/XDF), Mrinal Chakraborty [ctb] (initial RevoScaleR/XDF), Fang Zhou [ctb] (initial xgboost), Cameron Chisholm [ctb] (risk plot on risk chart)
MaintainerGraham Williams <[email protected]>
LicenseGPL (>= 2)
Version5.2.0
URL https://rattle.togaware.com/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("rattle")

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rattle documentation built on Aug. 17, 2018, 5:04 p.m.