R (Computer program language)

Data mining with Rattle and R = the art of excavating data for knowledge discovery / by: (Electronic resources)

Statistical data analysis explained = applied environmental statistics with R / by: (Electronic resources)

Statistical methods for environmental epidemiology with R = a case study in air pollution and health / by: (Electronic resources)

Introductory time series with R by: (Electronic resources)

Using R for data management, statistical analysis, and graphics by: (Electronic resources)

Introduction to scientific programming and simulation using R by: (Electronic resources)

A tiny handbook of R by: (Electronic resources)

Functional Data Analysis with R and MATLAB by: (Electronic resources)

Dynamic linear models with R by: (Electronic resources)

Advances in social science research using R by: (Electronic resources)

Analysis of phylogenetics and evolution with R by: (Electronic resources)

Multiple comparisons using R by: (Electronic resources)

A practical guide to ecological modelling = using R as a simulation platform / by: (Electronic resources)

Six sigma with R = statistical engineering for process improvement / by: (Electronic resources)

R through Excel = a spreadsheet interface for statistics, data analysis, and graphics / by: (Electronic resources)

Multivariate methods of representing relations in R for prioritization purposes = selective scaling, comparative clustering, collective criteria and sequenced sets / by: (Electronic resources)

Introduction to data analysis with R for forensic scientists by: (Electronic resources)

Behavioral research data analysis with R by: (Electronic resources)

Permutation tests for stochastic ordering and ANOVA = theory and applications with R / by: (Electronic resources)

Bayesian computation with R by: (Electronic resources)

Exploratory multivariate analysis by example using R by: (Electronic resources)

Modeling psychophysical data in R by: (Electronic resources)

R for Stata users by: (Electronic resources)

R programming for bioinformatics by: (Electronic resources)

Graphical models with R by: (Electronic resources)

Numerical ecology with R by: (Electronic resources)

Lattice = Multivariate Data Visualization with R / by: (Electronic resources)

Data mining with R : = learning with case studies / by: (Language materials, printed)

Data mining with R = learning with case studies / by: (Electronic resources)

Mixed effects models and extensions in ecology with R by: (Electronic resources)

Introductory statistics with R by: (Electronic resources)

R for SAS and SPSS users by: (Electronic resources)

Handbook of fitting statistical distributions with R by: (Electronic resources)

Biostatistics with R = an introduction to statistics through biological data / by: (Electronic resources)

A handbook of statistical analyses using R by: (Electronic resources)

Hidden Markov models for time series = an introduction using R / by: (Electronic resources)

R by example = concepts to code / by: (Electronic resources)

Competing risks and multistate models with R by: (Electronic resources)

Multiple decrement models in Insurance = an introduction using R / by: (Electronic resources)

Analysis of integrated and cointegrated time series with R by: (Electronic resources)

Combinatorial pattern matching algorithms in computational biology using Perl and R by: (Electronic resources)

A beginner's guide to R by: (Electronic resources)

An introduction to applied multivariate analysis with R by: (Electronic resources)

Forest analytics with R = an introduction / by: (Electronic resources)

Introducing Monte Carlo methods with R by: (Electronic resources)

Two-way analysis of variance = statistical tests and graphics using R / by: (Electronic resources)

R for SAS and SPSS users by: (Electronic resources)

Introduction to probability simulation and Gibbs sampling with R by: (Electronic resources)

Software for Data Analysis by: (Electronic resources)

Clinical trial data analysis using R by: (Electronic resources)

Bioconductor case studies by: (Electronic resources)

SAS and R = data management, statistical analysis, and graphics / by: (Electronic resources)

Applied Econometrics with R by: (Electronic resources)