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Programming with R

Course Level: Intermediate (6 hours)

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.

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  • Programming with R (11 May, Online)

    Starts:
    11 May (13:30)
    Ends:
    12 May (17:00)
    Price:
    £200250 ex VAT per person
    Venue Details:
    Online
    Duration:
    6 hours

    The course will run on 11 May. This course will start on 11 May and end on 12 May. We have an early bird offer of £200, which runs until 29 March. The price is £250 thereafter. The closing date for enrollment is 4 May 2026. The start and end times listed above are in UK local time.

  • Programming with R (13 July, Online)

    Starts:
    13 July (13:30)
    Ends:
    14 July (17:00)
    Price:
    £200250 ex VAT per person
    Venue Details:
    Online
    Duration:
    6 hours

    The course will run on 13 July. This course will start on 13 July and end on 14 July. We have an early bird offer of £200, which runs until 31 May. The price is £250 thereafter. The closing date for enrollment is 6 July 2026. The start and end times listed above are in UK local time.

  • Programming with R (28 September, Online)

    Starts:
    28 September (13:30)
    Ends:
    29 September (17:00)
    Price:
    £200250 ex VAT per person
    Venue Details:
    Online
    Duration:
    6 hours

    The course will run on 28 September. This course will start on 28 September and end on 29 September. We have an early bird offer of £200, which runs until 16 August. The price is £250 thereafter. The closing date for enrollment is 21 September 2026. The start and end times listed above are in UK local time.

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Course Details

Outline

  • Conditionals: using if and else statements in R
  • Functions: what a function is, how are they used, and how can we construct our own functions.
  • Looping in R: an introduction to the concept of looping in R. In particular for and while loops.
  • Help: The help system in R can at first glance appear daunting, however, after the initial shock, R’s documentation is second to none.
  • Project structure: Practical tips on how to structure a project.

Learning outcomes

Session 1:

By the end of the 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 the 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:

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.”