This one-day intensive course on R covers the fundamental techniques such as functions, for loops and conditional expressions.
About this Event

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 09:00 - 12:30 (UK time), on the 29nd & 30th of January. The closing date for enrollment is 24 January 2025.

Learning outcomes

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.

Prior knowledge

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!

Attendee feedback

“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.”

How to sign up

Please register. 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].