- AMS Style GuideThe AMS Style Guide contains helpful information for writing Mathematics.
- How To Prove It: A Structured ApproachThis book covers the basic elements of a mathematical proof. Great for beginners.

- Introduction to LaTeXCUS provides a starting point for installing and using LaTeX in your academic work.

- A First LaTeX DocumentThis document walks you through creating a short LaTeX document with all the features you need to start typesetting your work.

- Getting started with BibTeXThis LibGuide from the University of British Columbia has tons of great resources for putting citations in LaTeX documents.
- Using BibTeXUse BibTeX to quickly and easily generate in-text citations and bibliographies for your documents.
- Zotero GuideBasic Zotero usage guide.

**Why make your work reproducible?**

In statistics, as in all scientific research, it is important that your findings and conclusions can be reproduced by the rest of the community. These tools are designed to make this easy by interweaving written reports with R code so that all steps of data analysis are transparent and reproducible.

- R MarkdownUse R Markdown and knitr to generate reproducible reports.
- Dynamic Documents with R and knitrThis book has everything you could ever need to know about knitr. A little dated, but still a great reference manual for most features.
- knitrYihui Xie's knitr website.

- Getting used to R, RStudio, and R MarkdownIntroductory book for getting started with R, RStudio, and R Markdown by Chester Ismay. If you are new to R, start here.
- RStudio cheat sheetsSeveral references for performing common tasks in RStudio and tidyverse packages
- ModernDiveAn introduction to statistics and data manipulation using R by Chester Ismay and Albert Kim
- R for Data ScienceA beginner level book from Hadley Wickham of RStudio, with Garret Grolemund. For more advanced programming topics, see
*Advanced R*, also by Hadley Wickham. - The Art of R ProgrammingNorman Matloff's comprehensive reference for programming in R.
- R Tutorials from Data@ReedOnline R tutorials for data analysis and visualization (for new to intermediate users).

- Last Updated: Jan 3, 2024 2:56 PM
- URL: https://libguides.reed.edu/math-resources
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