ICME Summer Short Course on R, 2016

Schedule for the Day

Session 1: 9 - 10:30

• Basic R.

Session 2: 10:45 - 12

• Plotting in R (base ggplot2, plotly)
• Heatmaps in R (heatmaply)

Session 3: 2 - 3:15

• Apply functions in R.

Session 4: 3:30 - 4:45

• Statistical applications in R

References for further learning.

We provide as reference a list of packages and reference materials for which we recommend for further learning.

• Package dplyr has a fantastic tutorial. This package is written by Hadley Wickham and aims to make data manipulation easier in R.

• Package ggmap is built by Hadley as well as David Kahle to facilitate visualizing geo-spatial data. Their original paper.

• If you find yourself performing any simulations, Monte Carlo, or other embarassingly parallel operations, package parallel has a nice tutorial.

• My personal favorite package is data.table, written by Mathew Dowle. Here's a nice introduction.

• I also highly recommend Hadley's Advanced R tutorial, which goes into many interesting details of how R is designed.

For instructors, a quick reminder.

"I want to make a new change to the file! What do I do?"

1. Make sure you're up to date

• git checkout master
• git fetch origin
• git pull

2. Make a new branch

• git checkout -b new-loss-function

3. Do your thing

• Write write write
• git add the-file.rmd
• git commit -m "Added new loss function"
• git push origin new-loss-function

4. Merge it in!

• Go to GitHub webpage
• Compare and pull your branch (big green button at top)
• Make sure you're good to merge
• Merge and delete branch