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Rattle GUI

Rattle GUI is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Rattle GUI rather than just read about it. In short: Rattle GUI is a free and open source software (GNU GPL v2) package providing a graphical user interface (GUI) for data mining using the R statistical programming language. Rattle is used in a variety of situations.

Key takeaways

  • Rattle GUI belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Rattle GUI to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Rattle GUI from memory before moving on to harder problems.

Reference excerpt

Rattle GUI is a free and open source software (GNU GPL v2) package providing a graphical user interface (GUI) for data mining using the R statistical programming language. Rattle is used in a variety of situations. Currently there are 15 different government departments in Australia, in addition to various other organisations around the world, which use Rattle in their data mining activities and as a statistical package. Rattle provides considerable data mining functionality by exposing the power of the R Statistical Software through a graphical user interface. Rattle is also used as a teaching facility to learn the R software Language. There is a Log Code tab, which replicates the R code for any activity undertaken in the GUI, which can be copied and pasted. Rattle can be used for statistical analysis, or model generation. Rattle allows for the dataset to be partitioned into training, validation and testing. The dataset can be viewed and edited. There is also an option for scoring an external data file. Rattle was originally released in early 2006 and relaunched in 2025. The relaunch replaced the dated R interface with a modern look using the Flutter framework and includes new modules to input R code as well predefined code modules.

Features 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, Principal Components, Benford, Bar Plot, Dot Plot, and Mosaic. Transformations = Rescale (Recenter, Scale 0–1, Median/MAD, Natural Log, and Matrix) - Impute ( Zero/Missing, Mean, Median, Mode & Constant), Recode (Binning, Kmeans, Equal Widths, Indicator, Join Categories) - Cleanup (Delete Ignored, Delete Selected, Delete Missing, Delete Obs with Missing) Rattle also uses two external graphical investigation / plotting tools. Latticist and GGobi are independent applications which provide highly dynamic and interactive graphic data visualisation for exploratory data analysis.

Packages The capabilities of R are extended through user-submitted packages, which allow specialized statistical techniques, graphical devices, as well as import/export capabilities to many external data formats. Rattle uses these packages - RGtk2, pmml, colorspace, ada, amap, arules, biclust, 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, RGtk2Extras, ROCR, RODBC, rpart, RSvgDevice, survival, timeDate, graph, RBGL, bitops,

See also R interfaces

References Graham J Williams (2011). Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery, Springer, Use R!. In 2010, Rattle was listed in the top 10 graphical user interfaces in statistical software by Decision Stats. Rattle is described as an "attractive, easy-to-use front end ... data mining toolkit" in an article published in the Teradata Magazine, volume 9, issue 3, page 57 (September 2009). Graham J William (2009). Rattle: A Data Mining GUI for R. The R Journal 1(2):45-55.

External links Official home page Source code page

Worked examples

Example 1 — a first encounter with Rattle GUI

Start with the simplest possible case. Write down what Rattle GUI claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Rattle GUI before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Rattle GUI ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Rattle GUI

In research
Rattle GUI appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Rattle GUI in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Rattle GUI is common in secondary-school and first-year university syllabi. It links to neighbouring topics Data mining and machine learning software, Free R (programming language) software, so understanding it makes those chapters shorter.
In everyday life
Look for Rattle GUI outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Rattle GUI in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Rattle GUI means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Rattle GUI out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Rattle GUI in simple terms?

Rattle GUI is a free and open source software (GNU GPL v2) package providing a graphical user interface (GUI) for data mining using the R statistical programming language. Rattle is used in a variety of situations.

Why does Rattle GUI matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Rattle GUI?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Rattle GUI.

Tags

  • Data mining and machine learning software
  • Free R (programming language) software

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