Year: 2026
Type: book
Abstract: : R Programming: A Practical and Applied Approach is a comprehensive academic resource designed to introduce students, beginners, and researchers to the fundamentals and practical applications of the R programming language. The book presents a structured approach to learning R, beginning with core concepts such as syntax, variables, data types, operators, and data structures, and progressing toward control structures, functions, data handling, visualization, and statistical analysis. It emphasizes practical implementation through examples, case studies, sample programs, built-in functions, and datasets, making it especially useful for academic learning and real-world data analysis. The text also covers essential analytical topics including descriptive statistics, probability distributions, hypothesis testing, regression, time series analysis, and introductory machine learning concepts. With its simple, systematic presentation and application-oriented focus, the book serves as a valuable guide for those seeking to build strong foundations in R programming for educational, research, and professional use. Keywords: R programming, statistical computing, data analysis, data visualization, R language, data structures, control structures, functions in R, exploratory data analysis, ggplot2, dplyr, hypothesis testing, regression analysis, time series analysis, machine learning, academic resource
Author: Dr. Prashanth M.C
Language: English
Topic: Data Analysis with R
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W7134807400