Overview
'Modern R Programming Cookbook' provides an array of practical recipes designed to enhance your R programming skills for statistical, data science, and graphical applications. With this book, you will deepen your understanding of R's syntax and semantics and be able to solve real-world problems using R effectively.
What this Book will help me do
- Understand and configure R's development environment, including IDE setup and library management.
- Master R's core data structures and best practices for efficient data manipulation.
- Design and implement custom R functions, handling errors and utilizing recursion effectively.
- Streamline data processing tasks using modern R packages like dplyr for structured workflows.
- Efficiently process text and interact with databases to tackle a variety of data science projects.
Author(s)
Jaynal Abedin is an experienced data scientist and R programmer with a strong background in statistical modeling and data analysis. Over his career, Jaynal has worked on numerous data-intensive projects, helping individuals and organizations transform data insights into actionable strategies. He brings a clear and hands-on approach to teaching and writes with the goal of empowering readers to tackle complex problems using R.
Who is it for?
This book is perfect for developers looking to enhance their R programming expertise, particularly if they already have a basic understanding of R's fundamentals. Whether you're working in data science, statistics, or software development, this book provides actionable strategies for leveraging R's capabilities. If you're exploring advanced R programming or aiming to upskill in data applications, this book is an excellent resource.