This book, R Programming: A Complete Text in Data Analytics, is an all-inclusive textbook designed for undergraduate and postgraduate students in Computer Science, Engineering, M.C.A., M.B.A., and M.B.A. (Data Analytics). It is equally invaluable for professionals and researchers aiming to master R programming for data analytics applications. Combining foundational concepts with advanced techniques, this text equips readers with the skills to leverage R in analyzing and visualizing data effectively

Salient Features

 Covers foundational topics like installation, data types, and control structures, advancing to
complex concepts like regression analysis, hypothesis testing, and ANOVA.
 Explores key data structures in R, including vectors, matrices, lists, arrays, and data frames,
essential for efficient data manipulation and analysis.
 Provides in-depth coverage of statistical techniques like probability distributions, hypothesis
testing, regression analysis, and interval estimation.
 Includes detailed discussions on data visualization with practical examples using R to create
informative plots and charts.
 Written in a reader-friendly style, with examples, and review questions designed to ensure a
thorough grasp of concepts.
 Includes a dedicated section of multiple-choice questions at the end of the book to reinforce
learning and assess comprehension

R. Panneerselvam, PhD, served as a Professor of Computer System and Languages, Operations, and Quantitative Methods, Pondicherry University. He possesses a total of 44 years of teaching and research experience at Anna University and Pondicherry University put together. He has served as the chairman of Computer Society of India (Pondicherry Chapter) and is also a life member Indian Institution of Industrial Engineering and Computer Society
of India. His textbooks publications in the areas of computer systems and applications are: Database Management Systems, Design and Analysis of Algorithms, System Simulation, Modelling and Languages, Databases and Python Programming: My SQL, MongoDB, OOP and Tkinter, Problem Solving and Python Programming, Advanced Database Management Systems including Python Matplotlib for Data Mining, Design Thinking for Product Design and Process Design, C Programming: A Complete Text, C++ Programming: A Comprehensive
Text, Business Statistics using Excel: A Complete Course in Data Analytics and Complete Integrated Manufacturing.