This workshop is designed for R beginners. If you've never coded before - you are in the right place! If you have coded before, we may draft you to help out. Please feel free to create an issue to give us feedback or let us know what you want to learn next. This is loosely based on a basic R session we did at the 2016 PMCB retreat.
Lilly Winfree is a Science and Data Analyst at the Monarch Initiative based at OHSU. She has a PhD in neuroscience and she works with the Monarch Initiative bioinformatics team to derive biological stories from the data and then communicates those stories to the world through talks, articles, and sometimes fun tweets!
Danielle Robinson is a Mozilla Fellow for Science who works with scientists, librarians, and non profits like Code for Science to advance open data. She has a PhD in neuroscience and is working on a metadata manifesto.
This is an aproximately 45 minute code-along workshop.
- Download and install R Studio
- Become comfortable with the R Studio interface
- Import a dataset into R studio
- Learn to use R for basic exploratory data analyis and data visualization
- Determine mean, median
- Run a t-test
- Run an ANOVA
- Create histograms and other basic data visualizations
- Meet other scientists who are learning to code!
- Learn about BioData Club and other free local classes
- Discuss your goals
- What do you want to learn next?
Start with the Friendly-Intro.html file, that's our presentation with some R basics and resources.
Then download example_lengths_for_R.csv to your machine.
From there, you'll move on to the exercises in BasticStatsCode.pdf.
Power_Analysis.Rmd and ANOVA.Rmd are extra files we may or may not get to.