All | (Big) Data Analytics | Algorithms | Artificial Intelligence | Bayesian Networks | Business & Strategy | Computer Vision | Data Journalism | Data Mining | Data Scientists | Data Structures | Data Visualization | General Data Science | Hadoop, MapReduce | Information Retrieval | Linear Regression | Linguistic | Machine Learning, Predictive Analytics | Math | Metadata | Natural Language Processing | Network Science | Other Sites with Free Data Science Resources | Probability | Python | R | Singularity/Transhumanism | Statistics | Text MiningAn Introduction to Statistical Learning with Applications in R.
A Little Book of R For Time Series.
Spatial Epidemiology Notes: Applications and Vignettes in R.
Practical Regression and Anova using R.
A Little Book of R For Biomedical Statistics.
The R Inferno.
Ecological Models and Data in R.
Time Series Analysis and Its Applications with R Examples.
A Little Book of R For Multivariate Analysis.
The R Manuals.
R by Example.
Advanced R. Designed primarily for R users who want to improve their programming skills and understanding of the language
R Programming. A practical guide to the R programming language
Data Mining Algorithms in R.
R Programming for Data Science. The fundamentals of R programming using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization
An Introduction to Statistical Learning (with applications in R). For those wishing to use statistical learning tools to analyze their data
Statistics with R. Notes author took while discovering and using the statistical environment R
An Introduction to R. R is an integrated suite of software facilities for data manipulation, calculation and graphical display
R and Data Mining: Examples and Case Studies. Various data mining functionalities in R and three case studies of real world applications
simpleR - Using R for Introductory Statistics. How to use R while learning introductory statistics