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

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

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- A beginner's guide to R
- A modern approach to regression with R
- A tiny handbook of R
- Advances in social science research using R
- An R and S-PLUS companion to multivariate analysis
- An introduction to R for spatial analysis & mapping
- An introduction to applied multivariate analysis with R
- An introduction to statistical learning : with applications in R
- Analysis of integrated and cointegrated time series with R
- Analysis of phylogenetics and evolution with R
- Analysis of phylogenetics and evolution with R
- Analyzing compositional data with R
- Applied econometrics with R
- Applied spatial data analysis with R
- Bayesian computation with R
- Bayesian computation with R
- Bayesian essentials with R
- Bayesian networks in R : with applications in systems biology
- Beginning data science with R
- Behavioral research data analysis with R
- Bioconductor case studies
- Bioinformatics and computational biology solutions using R and Bioconductor
- Biostatistics with R : an introduction to statistics through biological data
- Chemometrics with R : multivariate data analysis in the natural sciences and life sciences
- Competing risks and multistate models with R
- Computational finance : an introductory course with R
- Contingency table analysis : methods and implementation using R
- Data manipulation With R
- Data mining with Rattle and R : the art of excavating data for knowledge discovery
- Discovering statistics using R
- Functional data analysis with R and MATLAB
- Geochemical modelling of igneous processes - principles and recipes in R language : bringing the power of R to a geochemical community
- Ggplot2 : elegant graphics for data analysis
- Graphical models with R
- Guide to programming and algorithms using R
- Interactive and dynamic graphics for data analysis : with R and Ggobi
- Introducing Monte Carlo methods with R
- Introduction to data analysis and graphical presentation in biostatistics with R : statistics in the large
- Introduction to image processing using R : learning by examples
- Introduction to probability simulation and Gibbs sampling with R
- Introductory statistics with R
- Lattice : multivariate data visualization with R
- Linear mixed-effects models using R : a step-by-step approach
- Mathematical statistics with resampling and R
- Modeling psychophysical data in R
- Modern optimization with R
- Morphometrics with R
- Multiple decrement models in Insurance : an introduction using R
- Multistate analysis of life histories with R
- Multivariate nonparametric methods with R : an approach based on spatial signs and ranks
- Multivariate statistical quality control using R
- Nonlinear regression with R
- Nonlinear time series analysis with R
- Numerical ecology with R
- Permutation tests for stochastic ordering and ANOVA : theory and applications with R
- Practical R for mass communication and journalism
- Practical R for mass communication and journalism
- R by example
- R for SAS and SPSS users
- R for SAS and SPSS users
- R for Stata users
- R for business analytics
- R for cloud computing : an approach for data scientists
- Six sigma with R : statistical engineering for process improvement
- Software for data analysis : programming with R
- Solving differential equations in R
- Statistical analysis of climate series : analyzing, plotting, modeling, and predicting with R
- Statistical analysis of financial data in R
- Statistical analysis of network data with R
- Statistical methods for environmental epidemiology with R : a case study in air pollution and health
- Statistics for linguists : an introduction using R
- Statistics with R : a beginner's guide
- Text analysis with R for students of literature
- The R software : fundamentals of programming and statistical analysis
- Time series analysis : with applications in R
- Two-way analysis of variance : statistical tests and graphics using R
- Understanding statistics using R
- Wavelet methods in statistics with R

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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/resource/CwW4jx3cYt0/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/resource/CwW4jx3cYt0/">R (Computer program language)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>

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`<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/resource/CwW4jx3cYt0/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/resource/CwW4jx3cYt0/">R (Computer program language)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>`