Implementing R for Statistics

Erscheinungsjahr 2026
ISBN: 978-0-443-38321-2
Verlag: Elsevier Science & Technology

Buch, Englisch, Format (B × H): 191 mm x 235 mm, Gewicht: 720 g

Implementing R for Statistics provides comprehensive coverage of basic statistical concepts using this important open-source programming language tool, from installing R and RStudio, to exploring its basic structure and uses, to extending some core functions such as vectors, basic mathematical operations, and data frames. The book will help readers understand the latest advances in the R programming language, as R allows for sophisticated and elegant data visualization. Illustrated examples are an integral part of the text, carefully designed to apply the core principles illustrated in the text to emerging topics in the field.

The text also focuses on exploiting the flexible and user-friendly nature of R. Basic concepts and recent advances in the field, including understanding the R basics, as well as implementing and practicing them in statistics, are also covered. This first edition is an essential text for students, lecturers, data scientists, and applied researchers in all areas of statistics, as well as in related fields such as biostatistics, health care, finance, risk management, social sciences, market research, and environmental and climate research.

Autoren/Hrsg.

Jamal, Farrukh

Chesneau, Christophe

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik

Inhaltsverzeichnis

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

Über Autor(innen)

Chesneau, Christophe
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.

Jamal, Farrukh
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.