Copyright 2014 Dean Attali. Licensed under the MIT license.

STAT545 is a course at the University of British Columbia, taught by Jenny Bryan.
This repository contains all my coursework from UBC STAT 545, as well as many other little projects I developed during the schoolyear. I was also a TA for the course in its 2014 offering.
This repository can serve as a sampler with many references showing how to perform useful stuff in R.

• data - data files
• hw - homework submissions for 2014 course
• hw-noob - homework submissions for 2013 course, when I was a complete R noob
• reference - various tutorials/references/R scripts that can be useful in many future projects
• shiny-apps - Shiny applications that I built
• terrorism-project - final project from 2013 course, very interesting analysis of global terrorism activity over time

• Global terrorism project - has many examples of reshaping, plotting, data cleaning, factor manipulation, using pretty tables, complex manipulation of data, using world maps, and more
• Shiny apps - a few Shiny apps that I built that were used by STAT545 course staff and students
• Tutorial on colours and colour names
• Examples of ggplot2
• R lines types and R symbols
• dplyr join cheatsheet by Jenny Bryan
• Regular expressions cheatsheet by Gloria Li
• Automated pipelines / make by Shaun Jackman
• Creating R packages by Bernhard Konrad
• Homework 7 - data manipulation - showing how to do general data manipulation using tidyr, plyr, dplyr, ggplot, spin
• Homework 8 - Data cleaning - examples of data cleaning and regular expressions
• Homework 9 - Automating pipelines - how to use make to automate pipelines
• Homework 10 - Package building - my very own package of useful R functions called rsalad, available on GitHub
• Homework 11 - Shiny - a Shiny app exploring cancer data, a demo is available on shinyapps.io and on the UBC stats shinyapps server
• Homework 12 - Scraping and APIs - how to scrape the web using R and use APIs to access information