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R Programming (Print on Demand)

Author(s): Anil Kumar Verma

ISBN: 9789386650153

1st Edition

Copyright: 2017

India Release: 2019

₹850

Binding: Paperback

Pages: 340

Trim Size: 241 x 181 mm

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This book is designed to serve as a preliminary textbook for the students of engineering and statistics. It covers the syllabus of all major national and international universities and will help every student, teacher, and researcher to understand the basics of R programming. The learning pedagogy used in this book will be helpful to students to gain comprehensive knowledge as well as the underlying fundamentals of R programming. This book aims to imbibe confidence in learner so that he/she can develop programs in R on their own for various real-world problems. The book offers detailed discussions on several important programming principles: data frames, vectors, matrices, functions, strings, math and simulation, probability distribution, ANOVA, T-test, F-test, file handling, accessing remote files from URL and many more. An exclusive section on Machine Learning has also been included.

  • The text is written in simple and lucid language.
  • Every topic has been supplemented with underlying algorithms and illustrative programs as a better aid to understanding the basics.
  • Each chapter has end-of-chapter exercises for the students to test their understanding of concepts.
  • Each chapter is rich in pedagogy and includes figures, tables, and solved examples that supplement the topics discussed
  • Introductory programming to students with a solid foundation in the R programming language is provided.
  • Recent advances in this field for practicing professionals are detailed.
  • All lab exercises in this book are thoroughly tested and the output is also shown on the console.
  1. Introduction to R Programming
  2. Hands-On R Coding
  3. R Programming Structures
  4. Operators in R
  5. Control Statements in R
  6. Functions in R
  7. Strings in R
  8. Matrices in R
  9. Math and Simulation
  10. Input/Output in R
  11. Charts and Graphs in R
  12. R Color
  13. Plot Functions in R
  14. Probability Distributions and Basic Statistics
  15. Linear Models in R

A.K. Verma

A.K. Verma is currently working as Associate Professor in the Department of Computer Science and Engineering at Thapar University, Patiala. He received his PhD in 2008 specialising in Computer Science and Engineering. He has worked as Lecturer at M.M.M. Engineering College, Gorakhpur, from 1991 to 1996. He has been a visiting faculty to many institutions. Dr Verma has published over 150 papers in national and international journals and conferences. He is a certified software quality auditor by MoCIT, Govt of India. Prof. Verma’s research interests include wireless networks, routing algorithms, mobile computing, and securing ad hoc networks. 

 

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