Mastering Software Development in R: https://bookdown.org/rdpeng/RProgDA/setup.html
R Graphics Cookbook: Practical Recipes for Visualizing Data: https://www.amazon.com/Graphics-Cookbook-Practical-Recipes-Visualizing/dp/1449316956
R Packages: Organize, Test, Document, and Share Your Code: https://www.amazon.com/Packages-Organize-Test-Document-Share/dp/1491910593/ref=dp_rm_title_4
R for Data Science: https://www.amazon.com/Data-Science-Transform-Visualize-Model/dp/1491910399/
ggplot2: https://www.amazon.com/ggplot2-Elegant-Graphics-Data-Analysis/dp/331924275X/
R Cookbook: https://www.amazon.com/Cookbook-OReilly-Cookbooks-Paul-Teetor/dp/0596809158
Discovering Statistics Using R: https://www.amazon.com/Discovering-Statistics-Using-Andy-Field/dp/1446200469/
Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving: https://www.amazon.com/Data-Science-Approach-Computational-Reasoning/dp/1482234815/
Quantitative Investment Portfolio Analytics In R: An Introduction To R For Modeling Portfolio Risk and Return: https://www.amazon.es/dp/1987583515/
Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis: https://www.amazon.es/dp/3319194240/
Reproducible Research with R and R Studio: https://www.amazon.com/Reproducible-Research-Studio-Chapman-Hall/dp/1498715370/
Big Data Analytics with R: Leverage R Programming to uncover hidden patterns in your Big Data: https://www.amazon.com/Big-Data-Analytics-Leverage-Programming/dp/1786466457/
Feature Engineering for Machine Learning: https://www.amazon.com/Feature-Engineering-Machine-Learning-Principles/dp/1491953241/
Applied Survey Sampling: https://www.amazon.com/Applied-Survey-Sampling-Edward-Blair/dp/1483334333
Data Wrangling with R: https://www.amazon.com/Data-Wrangling-R-Use/dp/3319455982