The best way to learn how to program is to do something useful, so this introduction to R is built around a common scientific task: data analysis. You don't need to have any previous knowledge of the tools that will be presented at the workshop. Here is a sample of the session materials: http://swcarpentry.github.io/r-novice-inflammation/
Be sure to complete the pre-workshop survey below. We use this to calibrate the pace of the workshop and, together with a post-workshop survey, to assess how it went.
- Pre-Workshop Survey: https://ucsbltsc.qualtrics.com/jfe/form/SV_1LbRBZC16iZh06V
- Post-Workshop Survey: https://ucsbltsc.qualtrics.com/jfe/form/SV_e4YZt4Ubf3gc3tz
Make sure you have the necessary software installed on your laptop. Please also download the relevant data set and R code. If you have any trouble, send us an email or come a little early Thursday morning. Someone will be there by 11:00AM to help with installation issues.
This lesson assumes you have the R software and the development environment RStudio installed on your computer.
Download R here: http://cran.stat.ucla.edu/
Download RStudio: https://www.rstudio.com/products/rstudio/download/ (You will need the Desktop version for your computer.)
Obtain lesson materials
You also need to download some files to follow this lesson:
- Make a new folder in your Desktop called r-novice-inflammation.
- Download r-novice-inflammation-data.zip (http://swcarpentry.github.io/r-novice-inflammation/data/r-novice-inflammation-data.zip) and move the file to this folder.
- If it’s not unzipped yet, double-click on it to unzip it. You should end up with a new folder called data.
We will be doing a brown-bag lunch after the 60 minute session.
We are committed to making sure that the workshop is accessible to everyone. Please tell us if there is anything we should know in advance in order to make the workshop accessible for you.
Slides and recordings will be posted on the Workshops page.