Implementing R for Statistics
- 1st Edition - January 19, 2026
- Latest edition
- Authors: Muhammad Imran, Michail Tsagris, Farrukh Jamal, Christophe Chesneau
- Language: English
Implementing R for Statistics is a timely first edition textbook that provides comprehensive coverage of basic statistical concepts using R, an important open-source progra… Read more
Implementing R for Statistics is a timely first edition textbook that provides comprehensive coverage of basic statistical concepts using R, an important open-source programming language tool. This book guides the readers through understanding the R basics, from installing R and RStudio to exploring its basic structure and uses, to implementing and practicing these in statistics. Using the sophisticated and elegant data visualization of R, this book explains the latest advances in the R programming language using illustrated examples carefully designed to apply the core principles discussed in the text to emerging topics in the field. It also provides useful insights into the process of developing R packages and creating metadata, focusing on exploiting the flexible and user-friendly nature of R. Written by an international and experienced team of authors, Implementing R for Statistics is an essential text for students, lecturers, data scientists, and applied researchers in all areas of statistics and related fields such as biostatistics, health care, finance, risk management, social sciences, market research, and environmental and climate research.
- Introduces core statistics concepts and their application using R in an accessible manner
- Explains the newest advances in implementing R in statistics through clear and highly illustrated examples
- Explores the process of learning R from installation to package creation
- Covers important and evolving aspects of R, such as using RStudio, metadata management, and advanced regression modeling techniques
- Includes references to the latest R packages, demonstrating up-to-date tools available in the field
Students in upper-level undergraduate and graduate courses in statistics
1. Crystal Symmetry
2. RStudio: A Quick Overview
3. R Fundamentals
4. Central Location and Dispersion Measures
5. Essentials to Model Fitting
6. Discrete Probability Distributions
7. Time Series Analysis
8. Regression and Correlation
9. Creating R Package: A Minimal Example
10. The Metadata: An Overview
11. Creating R Package: A moderate Level
2. RStudio: A Quick Overview
3. R Fundamentals
4. Central Location and Dispersion Measures
5. Essentials to Model Fitting
6. Discrete Probability Distributions
7. Time Series Analysis
8. Regression and Correlation
9. Creating R Package: A Minimal Example
10. The Metadata: An Overview
11. Creating R Package: A moderate Level
- Edition: 1
- Latest edition
- Published: January 19, 2026
- Language: English
MI
Muhammad Imran
Muhammad Imran is an Assistant Director at the Department of Agriculture, Pakistan. In addition to more than 40 papers in reputable journals, he has created nine R packages. He is particularly skilled in probability and statistics, with a focus on real-world applications using R software. Specifically, he made a substantial contribution to the creation of multiple R packages related to distribution theory.
Affiliations and expertise
Assistant Director, Department of Agriculture, PakistanMT
Michail Tsagris
Michail Tsagris is an Associate Professor at the Department of Economics of the University of Crete (UoC) and an Adjunct Professor in the Department of Mathematics and Statistics at the University of New Brunswick Saint John. Prior to these he worked as a Teaching Fellow at the Department of Economics (UoC), as a Research Associate at the Department of Computer Science (UoC), as an Assistant Professor at the American University of the Middle East (Kuwait) and as a Research Associate at the School of Mathematical Sciences of the University of Nottingham. He received his BSc and MSc in statistics from the Athens University of Economics and Business (Greece) and his PhD in statistics from the University of Nottingham. Michail has published more than 70 papers in journals, conference proceedings and book chapters and has (co-)developed 47 R packages. His current research interests include computational statistics, compositional and directional data analysis, applied econometrics, machine learning, Bayesian network learning algorithms and variable selection algorithms.
Affiliations and expertise
Associate Professor, Department of Economics of the University of Crete, GreeceFJ
Farrukh Jamal
Farrukh Jamal is currently an Assistant Professor, Department of Statistics, Faculty of Science, University of Tabuk, Saudi Arabia. He has more than 200 publications with more than 100 cumulative impact factors to his credit. He is the reviewer for more than 80 well-reputed international journals. He is a distinguished member of several editorial boards for prestigious journals, further highlighting his influential contributions to the field of probability and statistics. He is the author of six books on statistics, demonstrating his commitment to disseminating knowledge. His specialization lies in the areas of probability and statistics, with an emphasis on practical applications through the use of R software. In particular, he contributed significantly to the development of several R packages, solidifying his impact on statistical software tools.
Affiliations and expertise
Assistant Professor, Department of Statistics, Faculty of Science, University of Tabuk, Saudi ArabiaCC
Christophe Chesneau
Christophe Chesneau holds the distinguished position of "exceptional class" associate professor at the University of Caen-Normandie, France. With an extensive teaching career exceeding 20 years, his specialization lies in the areas of probability and statistics, with an emphasis on practical applications through the use of R software. Teaching is a primary passion for him, evident in his role as a responsible figure for the first year of the master's degree "Applied Statistics and Decision Analysis" over the last six years. Beyond his teaching commitments, Christophe Chesneau is the author of five books in French on probability and statistics, demonstrating his commitment to disseminating knowledge. In addition to conventional teaching, he generously shares his expertise through freely accessible online courses. His prolific research encompasses mathematics, probability, statistics, and applied data analysis, with more than 500 articles in esteemed international journals. In particular, he contributed significantly to the development of two R packages, solidifying his impact on statistical software tools. Additionally, Christophe Chesneau is a distinguished member of several editorial boards for prestigious journals, further highlighting his influential contributions to the field of probability and statistics.
Affiliations and expertise
University of Caen-Normandie, France