Alternatives to R for Data Science by Hadley Wickham and Garrett Grolemund
Looking for more depth or specific areas in data science with R? Explore advanced programming, text mining, statistical learning, graphical techniques, or peer-reviewed machine learning research. Options like 'Advanced R', 'Text Mining with R', and 'R Graphics Cookbook' cater to different needs within the R ecosystem.
A comprehensive guide for advanced R programming.
Advanced R offers in-depth guidance on programming practices and package development for experienced users.
Text analysis guide using R and tidytext package.
Text Mining with R focuses on text analysis techniques using R, offering practical examples and code for natural language processing tasks.
A comprehensive guide to statistical learning with applications in R and Python.
An Introduction to Statistical Learning offers practical R programming examples and exercises for data analysis, complementing Hadley Wickha
A practical guide for generating high-quality R graphs.
R Graphics Cookbook offers practical recipes for creating visualizations in R, complementing data science workflows with Hadley Wickham's to
JMLR is a peer-reviewed open-access journal for machine learning research.
Journal Of Machine Learning Research offers academic papers on machine learning theory, contrasting R for Data Science's practical programmi