Online | June 7, 2021,

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Course Details

Course Outline
Learning Outcomes
Materials
Prior Knowledge

Course 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

By the end of the day participants will…

have a thorough understanding of if and else statements, functions and for loops
understand how the aforementioned techniques can be applied to their own data
understand how these techniques will improve efficiency and results.

Materials

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.”

Training Course Details

Programming with R

Course Level: Intermediate