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