Resources

Bootcamp resources

• Box folder with RMarkdown (.Rmd) files.
• GitHub repository
• Supplemental RMarkdown files for data visualization and data analysis

Penn State resources

• PSU QuantDev R tutorials (mostly statistical methods)
• WeR User Group
• Get your computer set up for access to PSU’s network services
• Running RStudio ‘in the cloud’ Penn State’s (browser based) RStudio Server

Cheatsheets

• Base R
• RStudio
• Data import
• Data transformation
• Visualization with ggplot2
• Working with lists and functions using purrr
• Working with dates and times
• R Markdown

Websites

• Jenny Bryan R course
• Jenny Bryan graphics tutorials
• ggplot2 graphics catalog
• R bloggers
• RStudio
• Tidyverse curriculum
• R for Data Science
• Complete manuscript in papaja.
• Using R Markdown for Class Reports

Online learning

• DataCamp
• Data science Coursera

Books

• Chang, W. (2012). R Graphics Cookbook: Practical Recipes for Visualizing Data. O’Reilly Media, Inc. http://shop.oreilly.com/product/0636920023135.do. Web version.
• Gandrud, C. (2015). Reproducible Research with R and R Studio, Second Edition. CRC Press. https://www.crcpress.com/Reproducible-Research-with-R-and-R-Studio-Second-Edition/Gandrud/p/book/9781498715379.
• Wickham, H. & Grolemund, G. (2016). R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. O’Reilly Media. http://shop.oreilly.com/product/0636920034407.do.
• Muenchen, R. (2009). R for SAS and SPSS Users. http://www.springer.com/us/book/9780387094182.
• Xie, Y., Allaire, J. J., & Grolemund, G. (2018). R Markdown: The Definitive Guide. https://www.crcpress.com/R-Markdown-The-Definitive-Guide/Xie-Allaire-Grolemund/p/book/9781138359338. Web version.