• Facebook,
• google,
• Microsoft (who recently invested in a commerical provider of R)
• The New York Times.
• Buzzfeed use R for some of their serious articles and have made the code publically available
• The New Zealand Tourist Board have R running in the background of their website
• The BBC makes code available for some of their stories (e.g. gender bias in music festivals)
• Airbnb

• The Rstudio environment
• Reproducible Reporting
• Importing data from a spreadsheet
• Filtering Data
• Plotting and customisation of plots
• Calculating numerical summaries
• Joining data from multiple spreadsheets

• We will cover a very small set of packages - the tidyverse

Image Credit: Aberdeen Study Group

• Spreadsheets are a common entry point for many types of analysis and Excel is used widely but
  • can be unwieldy and difficult to deal with large amounts of data
• error prone (e.g. gene symbols turning into dates)
• tedious and time consuming to repeatedly process multiple files
• how can you, or someone else, repeat what you did several months or years down the line?

• We will use data from the gapminder project

• By the end of the course we will be creating plots like this in a few lines of code

• Session 1:- RStudio and R basis, Reading data into R
• Session 2:- Data manipulation and plotting
• Session 3:- Further plotting, Summarising, joining tables and open-ended practice

• Tidyverse website
• RStudio cheatsheets
• R graph gallery
• Sheffield R meetup
• Stack Overflow
• R bloggers
• google!

• Materials at https://sbc.shef.ac.uk/training/r-online/
• Find this useful? Tell your colleagues and mention us on twitter
  • @SheffBioinfCore