Slides and links

Slides available on slideshare

Links and notes related to the slides

• A ggplot2 tutorial I taught May 2013 contains lots of working code, in source form and compiled to something pretty
  • ggplot2 online docs
  • ggplot2 “homepage”
  • ggplot2 development on github
  • The R Graphics Cookbook, an excellent book by Winston Chang.
  • The graphs section of Winston Chang’s website Cookbook for R. The book listed above contains much more material, but the website is good too.
  • ggplot2: Elegant Graphics for Data Analysis by Hadley Wickham. Book’s companion website offers one R script per chapter, providing the code used in the book.
  • A quick introduction to ggplot2 by Karthik Ram. Slides and code from a 2 hour talk/hands on presentation for ggplot2 beginners.
• Nine simple ways to make it easier to (re)use your data by Ethan P White, Elita Baldridge, Zachary T. Brym, Kenneth J. Locey, Daniel J. McGlinn, Sarah R. Supp. Ideas in Ecology and Evolution 6(2): 1–10, 2013. doi:10.4033/iee.2013.6b.6.f http://library.queensu.ca/ojs/index.php/IEE/article/view/4608. Section 4 “Use Standard Data Formats” is especially good reading. Keeping data in the right format is critical to the process of making figures.
• Tidy data by Hadley Wickham. Journal of Statistical Software 59(10) 2014.
  
• Packages to keep data in tip-top shape for making graphs and more
  • tidyr
  • Lesson I contributed to Data Carpentry on tidying data with tidyr
  • reshape2 package: on GitHub
  • dplyr package: on GitHub | an introduction vignette

For R novices

You should have finished working through these by now:

• R basics, workspace and working directory, RStudio projects
• R objects (beyond data.frames) and indexing
• Basic care and feeding of data in R

Did anyone work with swirl?

I want to check in with people who looked at swirl.

Please chime in this issue I’ve opened in our Discussion repo.

Short intro to ggplot2

This week’s goal is just to introduce ggplot2, so your HW02 about exploring data can contain some figures: “Start the way you mean to finish … which is with lots of figures!”

All of this will be eventually ported over into STAT545 materials but will go ahead and link now.

• A ggplot2 tutorial I taught May 2013

R Markdown

This week’s goal is for you to report on your data exploration by authoring an R Markdown document.

Here is a write-up of my hands-on demo of R Markdown:

• Test your ability to author an R Markdown report

Here is a recap on the combined usage of RStudio (and a Project), a Git repo linked to a remote repo on GitHub, and an R Markdown report:

• Git(Hub) usage

Here is material from a talk and short workshop I gave at SFU in November 2013

• https://github.com/jennybc/2013-11_sfu