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This book is designed to give a guided tour of the R platform, aimed at beginners and intermediate users. This book covers basics of R including data types and objects, operators, control statements used in R with their syntax and code snippets. Data handling, mathematical functions, statistical functions, interfacing of R with other languages like C/C++ and python, parallel R, regression model and some clustering methods are also covered. The idea is to introduce users to the world of R. More and more people are reporting their results in context of R, and it is important to understand what they are talking about. This book will help user to understand the literature. R is free and quality of back-up and support is available. Salient Features of Book:-1. Research aspects/ methods used for ph.d. work are also included ,in addition of basics.2. Novice programmers can easily learn R from this book. It includes examples or each and every concepts used in R. 3. Suggesting mini projects and implementation is also given.4. Covered contents for JNTU , Anna and Pune university prescribed contents.5. Data Science and live topics are also included.6. Objective and concept based questions and programming questions are included .7. Some case studies are also given.8. Advanced concepts like Interfacing of R with other languages, R Objects and classes, Statistics in R, clustering in R is also explained with examples and solutions.