cm005 2015-09-22 Tuesday overview
- You should submit Homework 01 today!
- Show me that you’ve worked through your Git + GitHub + RStudio agony.
- Get help in class office hours if you’re struggling.
- Peer review will be set in motion soon via Issues. I’ll announce via Discussion so you’ll know when to look for notification.
- Homework 02 due before class next Tuesday 2015-09-29.
- Today
- Introduction to
ggplot2 - (we return to
ggplot2again in a couple weeks)
- Introduction to
- R Markdown, maybe? Test drive R Markdown
- Or start to talk about the many different flavors of R objects?
- Next week we begin serious data.frame wrangling with
dplyr. - Link to some enrollment data we could try to plot
Links
All the material for a tutorial I give on ggplot2 is on Github:
ggplot2: Elegant Graphics for Data Analysis, the ggplot2 book by Hadley Wickham. Hadley and Carson Sievert are working on a new edition. You can watch the whole process and get all the content from GitHub:
- https://github.com/hadley/ggplot2-book
- The companion website for the existing edition offers one R script per chapter, providing the code used in the book.
ggplot2 package development on github
The R Graphics Cookbook, an excellent book by Winston Chang. I really really love this book.
- 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.
A ggplot2 tutorial by Paul Hiemstra, one of many excellent R courses he offers.
A quick introduction to ggplot2 by Karthik Ram. Slides and code from a 2 hour talk/hands on presentation for ggplot2 beginners.
Why do I teach ggplot2? Shouldn’t beginners see “base” graphics first? I think not. David Robinson explains it well in Don’t teach built-in plotting to beginners (teach ggplot2).
Zev Ross has a lovely blog post: Beautiful plotting in R: A ggplot2 cheatsheet
For R novices
You should have finished working through these by now:
You should be looking at this, so that you can ask questions when we cover in class (soon):