LibGuides: Mathematics: Writings and Citations

Style

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

LaTeX

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

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

Citations

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

Reproducible research

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

R Resources

Getting used to R, RStudio, and R Markdown
Introductory book for getting started with R, RStudio, and R Markdown by Chester Ismay. If you are new to R, start here.
RStudio cheat sheets
Several references for performing common tasks in RStudio and tidyverse packages
ModernDive
An introduction to statistics and data manipulation using R by Chester Ismay and Albert Kim
R for Data Science
A 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 Programming
Norman Matloff's comprehensive reference for programming in R.
R Tutorials from Data@Reed
Online R tutorials for data analysis and visualization (for new to intermediate users).