October 2016
Beginner to intermediate
582 pages
11h 26m
English
Overview
This book provides a comprehensive introduction to R programming, a powerful tool for data science and statistics. Throughout the book, readers will explore programming constructs, data structures, and popular R packages, gaining the skills needed for practical applications and problem-solving.
What this Book will help me do
- Understand R's foundational concepts like variables, data types, and functions.
- Learn how to use R for data analysis, visualization, and machine learning tasks.
- Develop advanced R skills such as meta-programming and performance optimization.
- Master object-oriented programming using R's S3, S4, and R6 systems.
- Gain confidence in utilizing R for creating web scraping scripts and interactive reports.
Author(s)
None Ren, an experienced software developer and educator, specializes in languages for data analysis, including R. With years of practical experience and teaching R programming, they bring clarity and depth to complex topics. Their approachable writing style ensures learners at any level can engage effectively.
Who is it for?
This book is ideal for professionals in data science, statistics, and related fields with basic programming skills looking to delve into R programming. It caters to beginners and those consolidating their knowledge of R, aiming to develop practical skills for data manipulation and analysis.
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