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- cheatsheet
- pandoc markdown
- R_notebooks
- flexdashboard
- RMarkdown_websites. See also GitHub Pages
- Interactive Documents
- ShinyEd - Statistics education app created by Duke University
- Dean Attali Website - GitHub repo
- shinyData
- Collection of shiny apps by Carson Sievert
- teachR - Bundle of Shiny web apps for educational use.
- Academic Press - Doing Bayesian Data Analysis. A Tutorial With R And Bugs
- Academic Press - Statistical Bioinformatics With R
- Addison Wesley - R for Everyone. Advanced Analytics and Graphics
- An introduction to data cleaning with R
- An Introduction To Machine Learning. With Applications In R
- Apress - Advanced Object-Oriented Programming in R
- Apress - Advanced R. Data Programming and the Cloud
- Apress - Automated Trading with R
- Apress - Beginning Data Science in R
- Apress - Beginning R
- Apress - Business Analytics Using R. A Practical Approach
- Apress - Creating Blogs with Jekyll
- Apress - Functional Programming in R
- Apress - Introduction to Deep Learning Using R
- Apress - Machine Learning Using R
- Apress - Metaprogramming in R
- Apress - Pro Data Visualization Using R And JavaScript
- Apress - R Quick Syntax Reference
- Apress - R Recipes. A Problem-Solution Approach
- Apress - Using R for Statistics
- B.C. Boehmke - Data Wrangling With R
- Birkhauser - Contingency Table Analysis. Methods and Implementation Using R
- Bookboon - A Step-By-Step R Tutorial
- Bookboon - Introduction To Statistical Data Analysis With R
- Cambridge Univ - A First Course In Statistical Programming With R
- Cambridge Univ - Analyzing Linguistic Data. A Practical Introduction To Statistics Using R
- Cambridge Univ - Data Analysis and Graphics Using R. an Example-Based Approach
- Cambridge Univ - Data Analysis Using Regression And Multilevel Hierarchical Models
- Cambridge Univ - Financial Analytics with R
- Cambridge Univ - Modern Statistical Methods For Astronomy. With R Applications
- Cambridge Univ - Numerical Analysis Using R. Solutions to ODEs and PDEs
- Chapman And Hall - Correspondence Analysis And Data Coding With Java And R
- Chapman And Hall - Robust Statistical Methods With R
- Chapman And Hall - Statistical Computing With R
- CRC - A Handbook Of Statistical Analyses Using R
- CRC - Adaptive Design Theory and Implementation using SAS and R
- CRC - Advanced R
- CRC - An R Companion To Linear Statistical Models
- CRC - Analysis of Categorical Data with R
- CRC - Analysis of Correlated Data with SAS and R
- CRC - Analysis of Questionnaire Data with R
- CRC - Analyzing Baseball Data With R
- CRC - Analyzing Sensory Data With R
- CRC - Analyzing Spatial Models of Choice and Judgment with R
- CRC - Applied Meta-Analysis With R
- CRC - Basics Of Matrix Algebra For Statistics With R
- CRC - Bayesian Networks With Examples in R
- CRC - bookdown. Authoring Books and Technical Documents with RMarkdown
- CRC - Clinical Trial Data Analysis Using R
- CRC - Computational Actuarial Science with R
- CRC - Computational Statistics. An Introduction to R
- CRC - Customer and Business Analytics. Applied Data Mining for Business Decision Making using R
- CRC - Data Analysis and Statistics for Geography, Environmental Science, and Engineering
- CRC - Data Mining With R. Learning With Case Studies
- CRC - Data Science in R. A Case Studies Approach to Computational Reasoning and Problem Solving
- CRC - Displaying Time Series, Spatial and SpaceTime Data with R
- CRC - Dynamic Documents with R and knitr
- CRC - Environmental and Ecological Statistics with R
- CRC - Event History Analysis with R
- CRC - Exploratory Multivariate Analysis By Example Using R
- CRC - Extending R
- CRC - Extending the Linear Model with R
- CRC - Flexible Regression and Smoothing Using GAMLSS in R
- CRC - Foundational and Applied Statistics for Biologists using R
- CRC - Foundations of Statistical Algorithms. With References to R Packages
- CRC - Generalized Additive Models. An Introduction With R
- CRC - Graphics for Statistics and Data Analysis with R
- CRC - Growth Curve Analysis and Visualization Using R
- CRC - Handbook Of Fitting Statistical Distributions With R
- CRC - Hidden Markov Models for Time Series. An Introduction Using R
- CRC - Implementing Reproducible Research
- CRC - Introduction to Data Analysis with R for Forensic Scientists
- CRC - Introduction to Probability with R
- CRC - Introduction To Scientific Programming And Simulation Using R
- CRC - Introductory Fisheries Analyses With R
- CRC - Linear Models With R
- CRC - Modern Data Science with R
- CRC - Multilevel Modeling Using R
- CRC - Multiple Comparisons Using R
- CRC - Multiple Factor Analysis By Examples Using R
- CRC - Multivariate Generalized Linear Mixed Models Using R
- CRC - Nonparametric Statistical Methods Using R
- CRC - Optimal Experimental Design With R
- CRC - Parallel Computing for Data Science. With Examples in R, C++ and CUDA
- CRC - Practical Graph Mining with R
- CRC - Probability and Statistics with R
- CRC - Programming Graphical User Interfaces In R
- CRC - R And Matlab
- CRC - R for Programmers. Advanced Techniques
- CRC - R for Programmers. Mastering the Tools
- CRC - R for Statistics
- CRC - R Graphics
- CRC - R Programming For Bioinformatics
- CRC - Reproducible Research with R and RStudio
- CRC - Reproducible Research with R and RStudio (2nd)
- CRC - Sas And R. Data Management, Statistical Analysis And Graphics
- CRC - Spatial Data Analysis in Ecology and Agriculture Using R
- CRC - Spatial Microsimulation With R
- CRC - Stated Preference Methods Using R
- CRC - Statistical Analysis Of Questionnaires. A Unified Approach Based On R And Stata
- CRC - Statistical Computing in C++ and R
- CRC - Statistical Studies of Income Poverty and Inequality in Europe
- CRC - Statistics and Data Analysis for Microarrays Using R and Bioconductor
- CRC - Statistics in Toxicology Using R
- CRC - Testing R Code
- CRC - The R Primer
- CRC - The R Student Companion
- CRC - Using R and RStudio for Data Management, Statistical Analysis, and Graphics
- CRC - Using R For Data Management, Statistical Analysis, And Graphics
- CRC - Using R For Introductory Statistics
- CRC - Using R for Numerical Analysis in Science and Engineering
- Csiro - An Introduction To R
- Elsevier - Biostatistics and Computer-based Analysis of Health Data using R
- Elsevier - Data Mining Application With R
- Elsevier - Mathematical statistics With Applications In R
- Elsevier - R and Data Mining
- Gnu (G.J. Kerns) - Introduction To Probability And Statistics Using R
- ISTE - Biostatistics And Computer Based Analysis Of Health Data Using The R Software
- J.J. Faraway - Practical Regression and Anova using R
- Leanpub - Advanced High School Statistics
- Leanpub - Associations And Correlations
- Leanpub - Data Analysis For The Life Sciences
- Leanpub - Developing Data Products In R
- Leanpub - Exploratory Data Analysis With R
- Leanpub - Introduction To Econometric Production Analysis With R
- Leanpub - Openintro Statistics
- Leanpub - R Programming For Data Science
- Leanpub - Regression Models For Data Science In R
- Leanpub - Report Writing For Data Science In R
- Leanpub - Statistical Inference For Data Science
- Leanpub - The Art Of Data Science
- Leanpub - The Elements Of Data Analytics Style
- Lulu - Predictive Analytics Using R
- Lulu - Predictive Modeling And Analytics
- MacMillan - Quantitative Trading With R
- Manning - Practical Data Science with R
- Manning - R In Action. Data Analysis And Graphics With R
- N.D. Lewis - Deep Learning Made Easy With R. A Gentle Introduction For Data Science
- No Starch Press - The Art Of R Programming. A Tour Of Statistical Software Design
- No Starch Press - The Book of R
- O'Reilly - 25 Recipes For Getting Started With R
- O'Reilly - Bioinformatics Data Skills
- O'Reilly - Data Mashups In R
- O'Reilly - Data Science in the Cloud with Microsoft Azure Machine Learning and R
- O'Reilly - Exploring Everyday Things With R And Ruby
- O'Reilly - Getting Started With Rstudio
- O'Reilly - Graphing Data With R
- O'Reilly - Hands-On Programming with R
- O'Reilly - Learning R
- O'Reilly - Parallel R
- O'Reilly - R Cookbook
- O'Reilly - R for Data Science. Import, Tidy, Transform, Visualize, and Model Data
- O'Reilly - R Graphics Cookbook
- O'Reilly - R In A Nutshell
- O'Reilly - R Packages
- Otexts - Forecasting. Principles And Practice (Using R)
- Oxford Univ - Circular Statistics in R
- Oxford Univ - Getting Started with R. An Introduction for Biologists
- Oxford Univ - Making Your Case. Using R for Program Evaluation
- Oxford Univ - The New Statistics with R. An Introduction for Biologists
- Packt - Big Data Analytics with R
- Packt - Big Data Analytics with R
- Packt - Big Data Analytics with R and Hadoop
- Packt - Bioinformatics with R Cookbook
- Packt - Building a Recommendation System with R
- Packt - Data Analysis with R
- Packt - Data Manipulation with R
- Packt - ggplot2 Essentials
- Packt - Instant R Starter
- Packt - Introduction to R for Business Intelligence
- Packt - Introduction to R for Quantitative Finance
- Packt - Learning Bayesian Models with R
- Packt - Learning Data Mining with R
- Packt - Learning Predictive Analytics with R
- Packt - Learning Probabilistic Graphical Models in R
- Packt - Learning Quantitative Finance with R
- Packt - Learning R for Geospatial Analysis
- Packt - Learning R Programming
- Packt - Learning Rstudio For R Statistical Computing
- Packt - Learning Shiny
- Packt - Learning Social Media Analytics with R
- Packt - Machine Learning with R
- Packt - Machine Learning With R Cookbook
- Packt - Mastering Data Analysis with R
- Packt - Mastering Machine Learning with R
- Packt - Mastering Parallel Programming with R
- Packt - Mastering Parallel Programming with R
- Packt - Mastering Predictive Analytics with R
- Packt - Mastering R for Quantitative Finance
- Packt - Mastering RStudio. Develop, Communicate, and Collaborate with R
- Packt - Mastering Scientific Computing With R
- Packt - Mastering Social Media Mining with R
- Packt - Mastering Text Mining with R
- Packt - Predictive Analytics Using Rattle and Qlik Sense
- Packt - R Data Analysis Cookbook
- Packt - R Data Mining Blueprints
- Packt - R Data Science Essentials
- Packt - R Data Structures and Algorithms
- Packt - R Data Structures And Algorithms
- Packt - R Data Visualization Cookbook
- Packt - R Deep Learning Essentials
- Packt - R For Data Science
- Packt - R for Data Science Cookbook
- Packt - R Graph Essentials
- Packt - R Graphs Cookbook
- Packt - R High Performance Programming
- Packt - R Machine Learning By Examples
- Packt - R Machine Learning Essentials
- Packt - R Mining Spatial, Text, Web, and Social Media Data
- Packt - R Object Oriented Programming
- Packt - R Statistical Application Development by Example. Beginner's Guide
- Packt - R. Data Analysis and Visualization
- Packt - R. Unleash Machine Learning Techniques
- Packt - RStudio for R Statistical Computing Cookbook
- Packt - Simulation for Data Science with R
- Packt - Social Media Mining with R
- Packt - Statistical Analysis With R
- Packt - Unsupervised Learning with R
- Packt - Web Application Development with R Using Shiny
- Quantile Regression Using R
- R Development Core Team - An Introduction To R
- Rmetrics - A Discussion Of Time Series Objects For R In Finance
- RMetrics - Basic R for Finance
- Robert Knell - Introductory R
- Routledge - Latent Variable Modeling Using R
- Routledge - Latent Variable Modeling With R
- Rowman & Littlefield - Basic Statistics. An Introduction With R
- Sage - An R And S-Plus Companion To Applied Regression
- Sage - Modern Regression Techniques Using R
- Springer - A Beginner’s Guide To R
- Springer - A Guide To QTL Mapping With Rqtl
- Springer - A Modern Approach To Regression With R
- Springer - A Practical Guide to Ecological Modelling. Using R as a Simulation Platform
- Springer - A Primer Of Ecology With R
- Springer - A Tiny Handbook Of R
- Springer - A User’s Guide to Network Analysis in R
- Springer - Advances In Social Science Research Using R
- Springer - An Introduction To Applied Multivariate Analysis With R
- Springer - An Introduction to R for Quantitative Economics
- Springer - An Introduction to Statistical Learning with Applications in R
- Springer - An R And S-Plus Companion To Multivariate Analysis
- Springer - Analysis Of Integrated And Cointegrated Time Series With R
- Springer - Analysis Of Phylogenetics And Evolution With R
- Springer - Analyzing Compositional Data With R
- Springer - Analyzing Financial Data and Implementing Financial Models Using R
- Springer - Applied Bayesian Statistics. With R and OpenBUGS Examples
- Springer - Applied Econometrics With R
- Springer - Applied Multivariate Statistics With R
- Springer - Applied Spatial Data Analysis With R
- Springer - Applied Statistical Genetics With R
- Springer - Applied Survival Analysis Using R
- Springer - Bayesian Computation With R
- Springer - Bayesian Essentials with R
- Springer - Bayesian Networks in R
- Springer - Beginning Data Science With R
- Springer - Behavioral Research Data Analysis With R
- Springer - Benchmarking with DEA, SFA, and R
- Springer - Bioconductor Case Studies
- Springer - Biostatistics With R. An Introduction To Statistics Through Biological Data
- Springer - Business Analytics for Managers
- Springer - Chemometrics With R
- Springer - Competing Risks And Multistate Models With R
- Springer - Computational Biology. A Practical IntroductionTo BioData Processing And Analysis With Linux, MySQL And R
- Springer - Computational Finance. An Introductory Course With R
- Springer - Data Manipulation With R
- Springer - Data Mining with Rattle and R
- Springer - Data Visualisation with R
- Springer - Dynamic Linear Models With R
- Springer - EnvStats. An R Package for Environmental Statistics
- Springer - Forest Analytics With R
- Springer - Forest Analytics with R. An Introduction
- Springer - Functional And Phylogenetic Ecology In R
- Springer - Functional Data Analysis With R And Matlab
- Springer - Geochemical Modelling of Igneous Processes. Principles And Recipes in R Language
- Springer - Ggplot2. Elegant Graphics For Data Analysis
- Springer - ggplot2. Elegant Graphics for Data Analysis (2nd)
- Springer - Graphical Models With R
- Springer - Guide To Programming And Algorithms Using R
- Springer - Humanities Data In R
- Springer - Interactive And Dynamic Graphics For Data Analysis. With R And Ggobi
- Springer - Introducing Monte Carlo Methods With R
- Springer - Introduction To Data Analysis And Graphical Presentation In Biostatistics With R
- Springer - Introduction To Image Processing Using R
- Springer - Introduction To Modern Portfolio Optimization With Nuopt, S-Plus And S Bayes
- Springer - Introduction to Nonparametric Statistics for the Biological Sciences Using R
- Springer - Introduction To Probability Simulation And Gibbs Sampling With R
- Springer - Introductory Statistics With R
- Springer - Introductory Time Series With R
- Springer - Lattice. Multivariate Data Visualization With R
- Springer - Learning Analytics in R with SNA, LSA, and MPIA
- Springer - Linear Mixed-Effects Models Using R. A Step-By-Step Approach
- Springer - Meta-Analysis with R
- Springer - Mixed Effect Models And Extensions In Ecology With R
- Springer - Modeling Binary Correlated Responses using SAS, SPSS and R
- Springer - Modeling Psychophysical Data In R
- Springer - Modern Actuarial Risk Theory Using R
- Springer - Modern Applied Statistics With S
- Springer - Modern Optimization with R
- Springer - Morphometrics With R
- Springer - Multistate Analysis of Life Histories with R
- Springer - Multivariate Methods of Representing Relations in R for Prioritization Purposes
- Springer - Multivariate Statistical Quality Control Using R
- Springer - Nonlinear Regression With R
- Springer - Numerical Ecology With R
- Springer - Option Pricing And Estimation Of financial Models With R
- Springer - Political Analysis Using R
- Springer - Practical Guide To Ecological Modelling. Using R As A Simulation Platform
- Springer - Primer Of Ecology With R
- Springer - Primer to Analysis of Genomic Data Using R
- Springer - Production And Efficiency Analysis With R
- Springer - Programming With Data. A Guide To The S Language
- Springer - Qualitative Comparative Analysis with R. A User’s Guide
- Springer - Quality Control with R
- Springer - R By Example
- Springer - R For Business Analytics
- Springer - R For Cloud Computing
- Springer - R for Marketing Research and Analytics
- Springer - R For Sas And Spss Users
- Springer - R For Stata Users
- Springer - R Through Excel
- Springer - Régression Avec R
- Springer - S Programming
- Springer - Seamless R and C++ Integration with Rcpp
- Springer - Simulation And Inference For Stochastic Differential Equations. With R Examples
- Springer - Six Sigma With R. Statistical Engineering For Process Improvement
- Springer - Software For Data Analysis. Programming With R
- Springer - Solving Differential Equations In R
- Springer - Spatial Database For Gps Wildlife Tracking Data
- Springer - Statistical Analysis and Data Display
- Springer - Statistical Analysis Of Financial Data In R
- Springer - Statistical Analysis Of Financial Data In S-Plus
- Springer - Statistical Analysis of Network Data with R
- Springer - Statistical Methods For Environmental Epidemiology With R
- Springer - Statistical Tools For Nonlinear Regression. A Practical Guide With S-Plus And R Examples
- Springer - Statistics and Data Analysis for Financial Engineering. With R Examples
- Springer - Statistics for Linguistics with R
- Springer - Text Analysis with R for Students of Literature
- Springer - The Basics Of S And S-Plus
- Springer - The R Software
- Springer - Time Series Analysis And Its Applications. With R Examples
- Springer - Time Series Analysis And Its Applications. With R Examples (Blue Edition)
- Springer - Time Series Analysis And Its Applications. With R Examples (Ez Edition)
- Springer - Time Series Analysis. With Applications In R
- Springer - Two-Way Analysis of Variance. Statistical Tests and Graphics Using R
- Springer - Understanding Statistics Using R
- Springer - Vector Generalized Linear And Additive Models With An Implementation In R
- [Springer - Wavelet Methods In Statistics With R](https://www.ama - zon.co.uk/s/ref=nb_sb_noss?url=search-alias%3Dstripbooks&field-keywords=Springer+-+Wavelet+Methods+In+Statistics+With+R)
- Springer - Working with the American Community Survey in R
- Springer - XML and Web Technologies for Data Sciences with R [Steven Murray - Learn R in a Day](](https://www.amazon.co.uk/s/ref=nb_sb_noss?url=search-alias%3Dstripbooks&field-keywords=Steven+Murray+-+Learn+R+in+a+Day)
- T. Hengl - A Practical Guide to Geostatistical Mapping
- Univ Washington - Using the R package Shiny to create web applications that facilitate quantitative gene expression analysis
- Wiley - A Course In Statistics With R
- Wiley - An Introduction to Analysis of Financial Data with R
- Wiley - An Introduction to Bootstrap Methods with Applications to R
- Wiley - Automated Data Collection with R. A Practical Guide to Web Scraping and Text Mining
- Wiley - Basic Data Analysis For Time Series With R
- Wiley - Biostatistical Design And Analysis Using R. A Practical Guide
- Wiley - Complex Surveys. A Guide To Analysis Using R
- Wiley - Data Mining Algorithms, Explained Using R
- Wiley - Data Mining And Business Analytics With R
- Wiley - Data Science And Big Data Analytics
- Wiley - Financial Risk Modelling And Portfolio Optimization With R
- Wiley - Guidebook To R Graphics Using Microsoft Windows
- Wiley - Introduction to Statistics through Resampling Methods and R
- Wiley - Introduction To Stochastic Processes With R
- Wiley - Investing in mortgage and asset backed securities, + website. Financial modeling with r and open source analytics
- Wiley - Mathematical Statistics With Resampling And R
- Wiley - Maximum Likelihood Estimation and Inference. With Examples in R, SAS and ADMB
- Wiley - Mixed Models. Theory And Applications With R
- Wiley - Modern Analysis Of Customer Surveys
- Wiley - Modern Industrial Statistics With Applications In R, Minitab And Jmp
- Wiley - Modern Statistical Methods For Astronomy With R Applications
- Wiley - Multivariate Nonparametric Regression And Visualization With R And Applications To Finance
- Wiley - Multivariate Time Series Analysis. With R And Financial Applications
- Wiley - Nonparametric Hypothesis Testing. Rank and Permutation Methods With Applications In R
- Wiley - Option Pricing and Estimation of Financial Models with R
- Wiley - Probability With R. An Introduction With Computer Science Applications
- Wiley - Probability. With applications and R
- Wiley - R For Dummies
- Wiley - Spatial And Spatio-temporal Bayesian Models With R-INLA
- Wiley - Statistical Data Analysis Explained. Applied Environmental Statistics With R
- Wiley - Statistical Methods For Hospital Monitoring With R
- Wiley - Statistics And Data With R
- Wiley - Statistics And Data With R. An Applied Approach Through Examples
- Wiley - Statistics For Censored Environmental Data Using Minitab And R
- Wiley - Statistics In Psychology Using R And SPSS
- Wiley - Statistics. An Introduction Using R
- Wiley - Text Mining in Practice with R
- Wiley - The Essential R Reference
- Wiley - The R Book
- Wiley - Time Series. Applications To Finance With R And S-Plus
- Wrox - Beginning R
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