Programming with ROnline Event

22 Nov 2021, 09:00 → 23 Nov 2021, 13:00 Europe/Berlin

Christian Meeßen

General Information

Language	English
Cost	Free of charge
Level	Beginner
Registration Period	2021-11-08 to 2021-11-15

 

 

 

 

Registration

You do not need to set up an Indico account to register.

Please note: To allow for a fairer distribution of seats across the various centres, the initial seat count per centre has been limited. We encourage those that want to register after the seats for their centre have been taken, to register on the waiting list instead. Remaining seats will be distributed among the waiting list according to first-come-first-serve. Persons on the waiting list will be notified regarding their registration on the work day after the end of the registration period.

Code of Conduct

We adhere to the Software Carpentries' Code of Conduct.
You can report violations to

• The Instructors and Helpers
• The HIFIS helpdesk
• The Software Carpentries

Workshop Content

This workshop is conceptualized as a two-day event that will help you to understand basic concepts in programming languages using R:

• Understand fundamental concepts like data types, functions or loops
• Loading and writing data from and to files
• Plotting graphs

Preparations

Participants are asked to make sure they have the necessary rights to install software on their computers.

Installing the Required Tools

For this workshop two tools are required:

• R
• RStudio Desktop

Example data

• create a new folder called r-novice-inflammation
• Download the r-novice-inflammation-data.zip and move it to the previously created folder
• Unzip the content of the zip file into the r-novice-inflammation folder
• You should now have a folder named data inside r-novice-inflammation

bestpractices_script.pdf

best_practices_slides.pdf

Monday 22 November

09:00 → 09:15 Welcome: Introduction

Convener: Christian Meeßen

09:15 → 09:30 Day one: Introduction to RStudio

09:30 → 10:15 Day one: Analysing Patient Data

10:15 → 10:30 Break

10:30 → 11:15 Day one: Creating Functions

11:15 → 11:30 Break

11:30 → 12:15 Day one: Analysing Multiple Data Sets

12:15 → 12:30 Break

12:30 → 13:00 Day one: Wrap up and questions

Tuesday 23 November

09:00 → 09:45 Day two: Making choices

09:45 → 10:00 Break

10:00 → 10:45 Day two: Command-Line Programs

10:45 → 11:00 Break

11:00 → 11:20 Day two: Best Practices for Writing R Code

11:20 → 11:50 Day two: Dynamic Reports with knitr

11:50 → 12:05 Break

12:05 → 12:50 Day two: Making Packages in R