Top R Programming Books to Read in 2024
The Book of R: A First Course in Programming and Statistics
This beginner-friendly guide covers statistical tests and modeling, with numerous exercises for hands-on learning.
The Art of R Programming: A Tour of Statistical Software Design
Focuses on software development using R, covering topics like object-oriented programming and mathematical simulations.
Hands-On Programming with R: Write Your Own Functions and Simulations
Teaches how to solve data science problems using the R programming language, with practical data analysis projects and examples.
R All-in-One For Dummies
Comprehensive understanding of the language, shedding light on different types of projects and applications for beginners.
R in a Nutshell
Covers writing R functions and packages, preparing, visualizing, and analyzing data with real-world examples.
Advanced R
Suitable for advanced readers, providing comprehensive coverage of object-oriented programming and metaprogramming.
R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics
Provides practical examples for quick and efficient data analysis using R, covering topics like data input/output and statistical models.
The R Book
Complete walkthrough of the R language, suitable for beginners, with numerous worked examples and examination of essential R packages.
Data Wrangling with R
Guide on utilizing R packages for loading, exploring, transforming, and visualizing data, including state-of-the-art libraries for data wrangling.
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Beginner-friendly book teaching import, transformation, and visualization of data, providing a comprehensive understanding of data science tools.
R Graphics Cookbook
Helps generate high-quality graphs quickly using R, with practical recipes for efficient data visualization.
Efficient R Programming
Covers writing efficient R code and techniques to improve code quality, including hardware capabilities for handling R computation.
R in Action
Teaches statistical analysis using R and its packages, covering real-world challenges and topics like forecasting and data mining.
R Packages: Organize, Test, Document, and Share Your Code
Discusses key components of an R package and streamlining the development process, including creating user-friendly websites.
R for Excel Users
Introduces using R for importing, modifying, and summarizing data sets in Excel, written in simple language for beginners.
Practical Data Science with R
Explains data science fundamentals with real-world examples and task-based tutorials based on R for efficient data analysis and machine learning.
Tidy Modeling with R: A Framework for Modeling in the Tidyverse
Teaches creating models using the tidyverse package of R, covering building, tuning, and evaluating models using statistical methods.
Mastering Shiny
Covers building interactive apps, reports, and dashboards using R, providing code samples and example apps for learning.
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