rattle.togaware.comTogaware: Rattle: A Graphical User Interface for Data Mining using R

Data Mining One Page R Rattle GNU/Linux Android LaTeX Services About [AusDM] [PAKDD] Togaware / rattle This web site is currently undergoing renewal. Please ignore formatting issues for now. Rattle: A Graphical User Interface for Data Mining using R The Data Science Desktop Survival Guide provides a guide for the Data Scientist using R. Welcome to the R Analytical Tool To Learn Easily (rattle)! Visit R Projects for Dummies for a nice introduction to Rattle. Also visit our Data Science Desktop Survival Guide to begin or continue your journey as a data scientist. Visit the Repository to lodge questions and issues. Install: With the demise of the RGtk2 package for R the best way to now install rattle is to either build an instance of Ubuntu locally, in a Virtual Machine or on the Cloud, and run Rattle there (see instructions below) or else use the pre-packaged docker image . This will run on any platform that supports docker, and I have had reports that it works on Apple Silicon MacOS. Update After over 15 years and with an extensive user community, motivated by the demise of the RGtk2 toolkit in R, the Rattle user interface is being re-writen using the modern and native cross platform framework Flutter . Visit github for details. Contributions welcome. You can support the ongoing Rattle development through a donation that will assist in maintaining the various web resources we utilise and the coding we sponsor: Rattle is a popular GUI for data mining using R . It presents statistical and visual summaries of data, transforms data so that it can be readily modelled, builds both unsupervised and supervised machine learning models from the data, presents the performance of models graphically, and scores new datasets for deployment into production. A key features is that all of your interactions through the graphical user interface are captured as an R script that can be readily executed in R independently of the Rattle interface. Use it as a tool to learn and develop your skills in R and then to build your initial models in Rattle to then be tuned in R which provides considerably more powerful options. Contributing: Rattle is Free (as in Libre) Open Source Software and the source code is freely available from the Bitbucket git repository. You are invited to clone the git repository and to assist with resolving issues and contributing new functionality by lodging pull requests. We give you the freedom to review the code, use it for whatever purpose you like, and to extend it however you like, without restriction, except that if you then distribute your changes you also need to distribute your source code under the same conditions. Rattle clocks between 10,000 and 20,000 downloads per month from the RStudio CRAN node (one of over 140 nodes). Installing Rattle A local install on your own computer for a quick start with Rattle can be undertaken with the operating system specific instructions below. We do however recommend running Rattle on Ubuntu 23.04 which you can do using Parallels on MacOS or using WSL2 from the Microsoft Store on Windows 11. Note that RGtk2 , the GUI Toolkit utilised by Rattle, has been archived on CRAN. Below we utilise the archived version to support Rattle. On Ubuntu 23.10 R 4.3.1 Rattle 5.5.2 (Tested 2 April 2024): Last updated: 20240402 Also tested on Ubunutu 23.04 and R 4.2.2 (30 April 2023) and a cloud instance of Ubuntu 22.04 on Linode with R 4.1.2 (Tested 2 April 2024). This approach installs a pre-built RGtk2 package. Replace the 4.3 on two lines in the below script with the version of R you are running (e.g., 4.1 or 4.2): $ sudo apt-get install r-recommended r-cran-xml libgtk2.0-dev libxml2-dev $ wget https://access.togaware.com/RGtk2_2.20.36.2_prebuilt_linux.zip $ mkdir -p ~/R/x86_64-pc-linux-gnu-library/4.3/ $ unzip RGtk2_2.20.36.2_prebuilt_linux.zip -d ~/R/x86_64-pc-linux-gnu-library/4.3/ $ Rinstall.packages("rattle") # This will install dependencies.install.packages("rattle", repos="https://rattle.togaware.com", type="source")library(rattle)rattle() The following approach has often worked, compiling RGtk2 from source, but is dependenent on other OS and R settings that are currently not clear. Give it a go (it won’t harm anything). $ sudo apt-get install r-recommended r-cran-xml libgtk2.0-dev libxml2-dev $ Rinstall.packages("https://access.togaware.com/RGtk2_2.20.36.2.tar.gz", repos=NULL)install.packages("rattle") # This will install dependencies.install.packages("rattle", repos="https://rattle.togaware.com", type="source")library(rattle)rattle() On Windows 10 (Tested 1 September 2023) Download, open, install (create desktop and quick launch shortcuts as desired) , and startup R from https://cran.r-project.org/bin/windows/base/old/4.1.3/R-4.1.3-win.exeinstall.packages("rattle")install.packages("https://access.togaware.com/RGtk2_2.20.36.2.zip", repos=NULL)library(rattle)rattle() When prompted to install Gtk2, click OK. A compatible version of RStudio can be installed from https://s3.amazonaws.com/rstudio-ide-build/desktop/windows/RStudio-2022.02.2-485.exe On Mac: Discussion suggests the docker image is a good option for the Mac. It is reported that RGtk2 won’t install on M1. Or else:install.packages("https://access.togaware.com/RGtk2_2.20.36.2.tgz", repos=NULL, type="binary") Installing Rattle from Docker Hub The simplest and quickest way to run rattle on any platform is to run the Docker container available from Docker Hub . Operating System Specific Guides R can be installed via the R Project . Further details: License Ubuntu GNU/Linux Microsoft Windows Macintosh Troubleshooting The development version of Rattle is regularly updated and a list of the latest updates is available from the Commits on bitbucket. All known bugs are fixed in the latest development version. See the troubleshooting page to see if you have a new issue. To install the latest development Version 5.5.2 dated 2023-04-29:install.packages("rattle", repos="https://rattle.togaware.com", type="source") To install from the source code repository:install.packages("devtools")devtools::install_bitbucket("kayontoga/rattle") To install from the package tar file:install.packages("https://access.togaware.com/RGtk2_2.20.36.2.tar.gz", repos=NULL)install.packages("https://access.togaware.com/rattle_5.5.2.tar.gz", repos=NULL) You can also use Docker ( install docker-ce ) on Linux/Windows/Mac to run the Ubuntu-based Docker pre-built image for Rattle in a container. Errata Brochure Documentation [The Art of Excavating Data for Knowledge Discovery] [Amazon] Survival Guide Data Science Desktop Survival Guide [Journal Paper] Information Data Mining by Example Testimonials Press and News Support Rattle Forum Screen Shots Videos Features [Google Group] Commercial Coding Book’s R Code utility.R Coding Style [Rattle Source Code] [ChangeLog] ToDo List Other Resources [Tutorial] [Georgia Course] Webinar Slides OLD Install : Download - GNU/Linux - - Details Links : - - - User Feedback - - - PMML Support Reviews "Rattle is a tab-oriented user interface that is similar to Microsoft Office’s ribbon interface. It makes getting started with data mining in R very easy. This book covers both Rattle, the R code that Rattle creates, and writing some R code from scratch. Therefore it will appeal to both people seeking the ease-of-use that is very much missing from R, and people looking to learn R programming." "The book is very enjoyable reading and is filled with useful information. It is aimed at both students learning data mining and data miners who are using or learning R. People are likely to read it through the first time as a text book and then later use it as a reference, especially about the details of the R language. One of the strongest aspects of this book is Dr. Williams’ ability to simplify complex topics and explain them clearly. His descriptions of bagging and boosting are the most clear that I have ever read." Bob Muenchen, author of R for SAS and SPSS Users, 30 June...