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Top R Programming Books to Read in 2024

 Top R Programming Books to Read in 2024

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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