#
R (Computer program language)
Resource Information
The concept ** R (Computer program language)** represents the subject, aboutness, idea or notion of resources found in **Boston University Libraries**.

The Resource
R (Computer program language)
Resource Information

The concept

**R (Computer program language)**represents the subject, aboutness, idea or notion of resources found in**Boston University Libraries**.- Label
- R (Computer program language)

- Authority link
- (uri) http://id.loc.gov/authorities/subjects/sh2002004407

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- A beginner's guide to GLM and GLMM with R : a frequentist and Bayesian perspective for ecologists
- A modern approach to regression with R
- Advances in social science research using R
- An R AND S-PLUS companion to multivariate analysis
- An R companion to applied regression
- An R companion to linear statistical models
- An introduction to bootstrap methods with applications to R
- Analysis of categorical data with R
- Analysis of integrated and cointegrated time series with R
- Analyzing health data in R for SAS users
- Analyzing linguistic data : a practical introduction to statistics using R
- Applied econometrics with R
- Applied probabilistic calculus for financial engineering : an introduction using R
- Applied spatial data analysis with R
- Basic data analysis for time series with R
- Bayesian computation with R
- Bayesian data analysis in ecology using linear models with R, BUGS, and Stan
- Beginning R : an introduction to statistical programming
- Behavioral research data analysis with R
- Comparing groups : randomization and bootstrap methods using R
- Competing risks and multistate models with R
- Complex surveys : a guide to analysis using R
- Computational finance : an introductory course with R
- Computational statistics : an introduction to R
- Data analysis and graphics using R : an example-based approach
- Data manipulation With R
- Design and analysis of experiments with R
- Doing Bayesian data analysis : a tutorial with R, JAGS, and Stan
- Financial risk modelling and portfolio optimization with R
- Foundational and applied statistics for biologists using R
- Functional data analysis with R and MATLAB
- Getting started with R : an introduction for biologists
- Growth curve analysis and visualization using R
- Handbook of fitting statistical distributions with R
- Handbook of fitting statistical distributions with R
- Hidden markov models for time series : an introduction using R
- Hurricane climatology : a modern statistical guide using R
- Introduction to data analysis with R for forensic scientists
- Introduction to image processing using R : learning by examples
- Introductory statistics : a conceptual approach using R
- Introductory statistics with R
- Making your case : using R for program evaluation
- Mathematical statistics with applications in R
- Mixed effects models and extensions in ecology with R
- Modern data science with R
- Molecular data analysis using R
- Multiple comparisons using R
- Multivariate methods of representing relations in R for prioritization purposes : selective scaling, comparative clustering, collective criteria and sequenced sets
- Multivariate nonparametric methods with R : an approach based on spatial signs and ranks
- Multivariate time series analysis : with R and financial applications
- Multivariate time series analysis : with R and financial applications
- Nonlinear regression with R
- Nonlinear time series analysis with R
- Permutation tests for stochastic ordering and ANOVA : theory and applications with R
- Practical R for mass communication and journalism
- Practical graph mining with R
- Probability with R : an introduction with computer science applications
- Programming graphical user interfaces in R
- Psychologie statistique avec R
- R and data mining : examples and case studies
- R for SAS and SPSS users
- Self-affine scaling sets in R2
- Software for data analysis : programming with R
- Spatial data analysis in ecology and agriculture using R
- Statistical computing in C++ and R
- Statistical computing with R
- Statistical modelling in R
- Statistics for library and information services : a primer for using open source R software for accessibility and visualization
- Statistics for linguistics with R : a practical introduction
- The R book
- The new statistics with R : an introduction for biologists
- Time series analysis : with applications in R
- Using R for data analysis in social sciences : a research project-oriented approach
- Wavelet methods in statistics with R

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