Programming with R

Please note that sign up for this course takes place on the , not on Eventbrite. All prices are listed on the website.

The benefit of using a programming language such as R is that we can automate repetitive tasks. This course covers the fundamental techniques such as functions, for loops and conditional expressions. By the end of this course, you will understand what these techniques are and when to use them. This is a one-day intensive course on R.

This is an online course and will take place, from 13:30 - 17:00 (UK time), on the 20th & 21st of May. We have an early bird offer which runs until 7th April 2024. The closing date for enrollment is 13th May 2024.

Session 1:

By the end of session 1 participants will…

• understand basic functions, multiple arguments and variable scopes.
• have a thorough understanding for loops.
• be able to apply basic functions.

Session 2:

By the end of session 2 participants will…

• have a thorough understanding of conditionals such as if, else and else if statements.
• be familiar with possible R workflows such as directory structure and working with directories.
• understand how the aforementioned techniques can be applied to their own data.
• understand how these techniques will improve efficiency and results.
• understand where to find help in R using resources and the help() function.

This course does not include:

• Much detail on using the {tidyverse} to manipulate and clean data, for this see the Data Wrangling with Tidyverse course run by Jumping Rivers.

The course follows on from the Introduction to R course. It is assumed that all students have attended this course (or have equivalent skills). This course is suitable for all fields of work. Previous attendees include biologists, statisticians, accountants, engineers & students, i.e., anyone who uses a spreadsheet!

• “We started from the beginning and achieved a lot by the end. I’m not scared of R any more. It was actually fun!”
• “You cover all the aspects that we need to learn to get started.”
• “The course was excellent, as it has allowed me to do all the analysis and graphics for my PhD thesis in R, which has certainly saved me a lot of time and allowed me to do some advanced analysis that would have just been too difficult to do otherwise.”

Please register on the , not on Eventbrite. You will be invoiced by our team and receive the Zoom invitation and pre-course information by email.

If you have any questions at all, please don't hesitate to reach out to us at [email protected].

Event Venue

Online