The R Project for Statistical Computing. The Comprehensive R Archive Network. Data Management. Quick-R: Home Page. Webinar | Introduction to R for Data Mining. For a quick start: Find a way of orienting yourself in the open source R worldHave a definite application area in mindSet an initial goal of doing something useful and then build on it In this webinar, we focus on data mining as the application area and show how anyone with just a basic knowledge of elementary data mining techniques can become immediately productive in R. We will: Provide an orientation to R’s data mining resourcesShow how to use the "point and click" open source data mining GUI, rattle, to perform the basic data mining functions of exploring and visualizing data, building classification models on training data sets, and using these models to classify new data.Show the simple R commands to accomplish these same tasks without the GUIDemonstrate how to build on these fundamental skills to gain further competence in RMove away from using small test data sets and show with the same level of skill one could analyze some fairly large data sets with RevoScaleR.
RStudio - Home. R reference card. The R Project. RDataMining.com: R and Data Mining.