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Rattle

Rattle

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.

 Rattle 3.0.4

Price
Free to download

Size
1.8MB
License

GNU GPL v2

Developer
Graham Williams

Website
rattle.togaware.com

System Requirements
R 2.8.0 or higher

Optional:
RGtk2
pmml 1.2.13 or higher
colorspace, ada, amap, arules
biclust, cairoDevice, cba, descr
doBy, e1071, ellipse, fEcofin
fBasics, foreign, fpc, gdata
gtools, gplots, gWidgetsRGtk2
Hmisc, kernlab, latticist, Matrix
mice, network, nnet, odfWeave
party, playwith, psych, randomForest
reshape, rggobi, RGtk2Extras, ROCR
RODBC, rpart, RSvgDevice, survival
timeDate, XML, methods, graph
RBGL, bitops, grid, pkgDeptools
Rgraphviz

Support:
Data Mining Catalogue

Selected Reviews:
RJournal

Features include:

  • 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)

Rattle in action

Return to Graphical User Interfaces for R Home Page | Return to Data Mining Home Page

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Last Updated Monday, May 26 2014 @ 11:28 AM EDT


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