13.2: R Resources

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Jun 6, 2021
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- 13.1: Chemometric Resources
- Back Matter

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Books

The following books, which I have found useful, either provide a broad introduction to the R programming language, or a more targeted coverage of a particular application. The texts published by O'Reilly have on-line versions made available for free; there entries here provide links to the on-line versions.

Chambers, J. M. Software for Data Analysis: Programming with R, Springer: New York, 2008.
Chang, W. R Graphics Cookbook, O'Reilly, 2013.
Gardner, M. Beginning R: The Statistical Programming Language, Wiley, 2012.
Gillespie, C.; Lovelace, R. Efficient R Programming, O'Reilly, 2020.
Grolemund, G. Hands-On Programming with R, O'Reilly, 2014.
Horton, N. J.; Kleinman, K. Using R and RStudio for Data Management, Statistical Analysis, and Graphics, 2nd Edition, CRC Press, 2015.
James, G.; Witten, D.; Hastie, T.; Tibshirani, R. An Introduction to Statistical Learning with Applications in R, Springer, 2013.
Lander, J. P. R for Everyone: Advanced Analytics and Graphics, Addison Wesley, 2014.
Kabacoff, Robert I. R in Action: Data Analysis and Graphics with R, Manning, 2011.
Maindonald, J.; Braun, J. Data Analysis and Graphics Using R, Cambridge University Press: Cambridge, UK, 2003.
Matloff, N. The Art of R Programming, No Starch Press, 2011.
Sarkar, D. Lattice: Multivariate Data Visualization With R, Springer: New York, 2008.
Vaughn, S. Scientific Inference, Cambridge, 2013.
Wickham, H. ggplot2, Springer, 2009.
Wickham, H.; Grolemund, G. R for Data Science, O'Reilly, 2017.

Articles

Doi, J.; Potter, G.; Wong, J. "Web Application Teaching Tools for Statistics Using R and Shiny", Technology Innovations in Statistics Education, 2016, 9.

Websites

CRANberries (http://dirk.eddelbuettel.com/cranberries/)
The R Project for Statistical Computing (https://www.r-project.org/)
The R Graph Gallery (http://www.r-graph-gallery.com/)
R-Bloggers (https://www.r-bloggers.com/)
RStudio (https://www.rstudio.com/products/rstudio/)
RStudio Packages (https://www.rstudio.com/products/rpackages/)
RWeekly (https://rweekly.org/)
Stackoverflow (https://stackoverflow.com/questions/tagged/r)

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