Data

Rattle – R analytical tool

Rattle (the R Analytic Tool To Learn Easily) provides a Gnome based open source interface to R functionality for binary classification tasks and data mining. It is also available as a product within Information Builders’ business intelligence suite known as RStat.

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.

Rattle is used in business, government, research and for teaching data mining in Australia and internationally.

Key Features

  • Extensive collection of R packages.
  • More than a graphical user interface to R.
  • File Inputs: CSV, TXT, Excel, ARFF, ODBC, R Dataset, RData File, Library Packages Datasets, Corpus, and Scripts.
  • Statistics: Min, Max, Quartiles, Mean, St Dev, Missing, Medium, Sum, Variance, Skewness, Kurtosis, chi square.
  • Statistical tests: Correlation, Wilcoxon-Smirnov, Wilcoxon Rank Sum, T-Test, F-Test, and Wilcoxon Signed Rank.
  • Clustering: KMeans, Clara, Hierarchical, and BiCluster.
  • Modeling: Decision Trees, Random Forests, ADA Boost, Support Vector Machine, Logistic Regression, and Neural Net.
  • Evaluation: Confusion Matrix, Risk Charts, Cost Curve, Hand, Lift, ROC, Precision, Sensitivity.
  • Charts: Box Plot, Histogram, Correlations, Dendrograms, Cumulative, Principle Components, Benford, Bar Plot, Dot Pot,and Mosaic.
  • Transformations: Rescale (Recenter, Scale 0-1, Median/MAD, Natural Log, and Matrix) – Impute ( Zero/Missing, Mean, Medium, Mode & Constant), Recode (Binning, Kmeans, Equal Widths, Indicator, Join Categories) – Cleanup (Delete Ignored, Delete Selected, Delete Missing, Delete Obs with Missing).

Website: togaware.com/projects/rattle
Support:
Developer: Graham Williams
License: GNU General Public License v2.0

Rattle

Rattle is written in R. Learn R with our recommended free books and free tutorials.


Related Software

Data Mining Software
RSoftware environment for statistical computing and graphics
MOASoftware environment for data stream mining
OrangeComponent-based framework for machine learning and data mining
astroMLPython module for machine learning and data mining
ROOTAimed at solving the data analysis challenges of high-energy physics
ELKIData mining software framework developed for use in research and teaching
DataMeltFull-featured data-analysis framework for scientists, engineers and students
KNIMEKonstanz Information Miner
WekaWaikato Environment for Knowledge Analysis
RapidMinerKnowledge discovery in databases, machine learning, and data mining
RattleGnome cross platform GUI for Data Mining using R

Read our verdict in the software roundup.

Graphical User Interfaces for R
RStudioProfessional software for R with a code editor, debugging & visualization tools
StatET for REclipse based IDE (integrated development environment) for R
RattleR Analytic Tool To Learn Easily: Data Mining using R
jamoviProvides R syntax for each analysis that is run
RKWardEasy to use and easily extensible IDE/GUI
R CommanderA Basic-Statistics GUI for R
JGRUniversal and unified graphical user interface for R
DeducerIntuitive, cross-platform graphical data analysis system

Read our verdict in the software roundup.


Best Free and Open Source Software Explore our comprehensive directory of recommended free and open source software. Our carefully curated collection spans every major software category.

This directory is part of our ongoing series of informative articles for Linux enthusiasts. It features hundreds of detailed reviews, along with open source alternatives to proprietary solutions from major corporations such as Google, Microsoft, Apple, Adobe, IBM, Cisco, Oracle, and Autodesk.

You’ll also find interesting projects to try, hardware coverage, free programming books and tutorials, and much more.

Discovered a useful open source Linux program that we haven’t covered yet? Let us know by completing this form.
Subscribe
Notify of
guest
0 Comments
Oldest
Newest Most Voted