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Working with R (and R-studio)

• Data types and structures
• Using functions
• importing and processing data
• Plotting, making figures
• Basic statistics
• Become self-sufficient

Basic programming skills (in R)

• Flow control
• Writing functions
• Packages/libraries

For this course, you will work on your own laptop. The course will give an introduction to R and RStudio, an integrated development environment for R.

The course begins with an email containing installation instructions for the software, followed by an online introduction lecture. Next will be a combination of self-study exercises, in-class lectures, and hands-on question-and-answer sessions.

At the end of the course, a final assignment is given to test your progress. It is mandatory to make the final assignment.

Online edition

Once a year a full online edition is planned, check out the course schedule for the date. The online version consists of 3 sessions of 2 hours (instead of 6 sessions of 3 hours for the regular in person course). Please note that depending on your experience with coding, selfstudy in between the online sessions will be quite intense! The trainer will be available for help and advice.

Course sessions and topics

Study load 

Beware that we expect you to spend the vast majority of these two weeks on learning R. It is a language like any other: fluency is only gained by rigorous practice. The actual study load will strongly depend on previous programming experience and affinity with the subject. In all cases, the time invested in learning R translates directly to skill development. Consider half days for the duration of the course as a minimum. However, more practice time is strongly recommended. We also encourage you to practice R using data from your PhD project or lab to make the practice more relevant to you. Although considerable, this time investment is easily earned back when analysing data from your experiments during the rest of your PhD.

Group size            

25 to 35 participants

Number of credits                                 

3.0 EC

Trainer

You will be trained by one of the professionals of , Utrecht ľ¹Ï¸£ÀûÓ°ÊÓ.

Course certificate                                

You will receive a course certificate after actively participating in all course sessions and passing the Final Assignment.

This course is free for GSLS PhD candidates. However: free of charge does not mean free of responsibility. Once you have signed up for a course, we expect you to attend. For every late cancellation or no-show we have had to disappoint others who would have liked to attend. This is our policy:

• You may cancel free of charge up to 4 weeks before the start of the course. After this date you can only cancel if you have a GSLS PhD candidate to replace you in the course. Send the name and contact information of your replacement to pcc@uu.nl, at least 2 working days before the start of the course;
• We expect that you actively attend the full course, but at least 80%. It is mandatory to attend the first session. If you are absent the first session you cannot follow the remaining of the course;
• Not meeting the above requirements means you will be charged a no-show fee (€ 105). We will send the invoice after the course has ended. We are unable to make any exceptions, unless you have a valid reason (i.e., illness or death in the family 1^st/2^nd degree or partner). Your supervisor has to send an e-mail to pcc@uu.nl indicating the reason.