Epidemiology with R

Easy statistics for food science with R

Panel data econometrics with R

Statistical methods for overdispersed count data

Hands-on ensemble learning with R : a beginner's guide to combining the power of machine learning algorithms using ensemble techniques

Habitat suitability and distribution models : with applications in R

Parallel computing for data science : with examples in R, C++ and CUDA

Statistical analysis of questionnaires : a unified approach based on R and Stata

A course in statistics with R

Introduction to stochastic processes with R

Sams teach yourself R in 24 hours

Biostatistics and computer-based analysis of health data using R

Analyzing sensory data with R

Advanced R

Nonparametric statistical methods using R

Multiple factor analysis by example using R

Stated preference methods using R

Mathematical statistics with applications in R

Doing Bayesian data analysis a tutorial with R, JAGS, and Stan

Adaptive design theory and implementation using SAS and R

Statistics : an introduction using R

Data mining algorithms : explained using R

Doing Bayesian data analysis : a tutorial with R, JAGS, and Stan

Design and analysis of experiments with R

Growth curve analysis and visualization using R

Automated data collection with R : a practical guide to Web scraping and text mining

Probability with applications and R

Statistical hypothesis testing with SAS and R

Nonparametric hypothesis testing : rank and permutation methods with applications in R

Modern industrial statistics : with applications in R, MINITAB and JMP

Displaying time series, spatial, and space-time data with R

Foundational and applied statistics for biologists using R

Basic data analysis for time series with R

Nonlinear parameter optimization using R tools

SAS and R : data management, statistical analysis, and graphics

Multilevel modeling using R

Growth curve analysis and visualization using R

Using R for numerical analysis in science and engineering

Using R for introductory statistics

Practical graph mining with R

R and data mining examples and case studies

Data analysis and graphics using R : an example-based approach

Instant R starter jump into the R programming language and go beyound "Hell World!" / Donato Teutonico.

The R book

Financial risk modelling and portfolio optimization with R

Financial risk modelling and portfolio optimization with R

Applied spatial data analysis with R

An introduction to analysis of financial data with R

Adaptive tests of significance using permutations of residuals with R and SAS

An R companion to linear statistical models

Analysis of questionnaire data with R

Programming graphical user interfaces in R

Joint models for longitudinal and time-to-event data with applications in R

Getting started with R an introduction for biologists

Event history analysis with R

Statistics for censored environmental data using Minitab and R

Guidebook to R graphics using Microsoft Windows

The R primer

Spatial data analysis in ecology and agriculture using R

Statistical computing in C++ and R

Discovering statistics using R

Data mining with R learning with case studies

Clinical trial data analysis using R

Multiple comparisons using R

Handbook of fitting statistical distributions with R

Using R for data management, statistical analysis, and graphics

R graphics

Doing bayesian data analysis : a tutorial with R and BUGS

Exploratory multivariate analysis by example using R

Introduction to data analysis with R for forensic scientists

Comparing groups randomization and bootstrap methods using R

Complex surveys a guide to analysis using R

Biostatistical design and analysis using R a practical guide

Introducing Monte Carlo methods with R

Data analysis and graphics using R an example-based approach

A handbook of statistical analyses using R

SAS and R data management, statistical analysis, and graphics

Advances in social science research using R

R for medicine and biology

Introduction to scientific programming and simulation using R

Combinatorial pattern matching algorithms in computational biology using Perl and R

Hidden Markov models for time series an introduction using R

R for SAS and SPSS users

R programming for bioinformatics

Statistical data analysis explained applied environmental statistics with R

Statistical computing with R

Statistics and data with R an applied approach through examples

A first course in statistical programming with R

Data Manipulation With R

The R book

R graphics

Robust statistical methods with R

A handbook of statistical analyses using R

A handbook of statistical analyses using R

Statistics an introduction using R

Correspondence analysis and data coding with Java and R

Using R for introductory statistics