Advanced R Programming


25-29 June 2018


R is a popular open-source statistical computing language. This course will introduce techniques for programming in R, including how to work with a variety of data structures, write functions and package code for distribution. Each lesson will be interactive with hands-on activities to solidify concepts covered in lectures. The week will conclude with a package development practicum, during which attendees will have the opportunity to implement methods covered in class for a project of their own design.



Target Audience

The goal of this course is to provide training on how to start using R as a programming language: to write new functions, develop new tools or, at the very least, interact with data programmatically. While some examples may be drawn from bioinformatics, statistics and / or epidemiology, the material will not focus on data analysis techniques. As such, the course will generally be domain-agnostic. Researchers from a variety of disciplines are welcome. Those interested should have basic
familiarity with R or another programming language.



The course material will be delivered over 5 days, in 10 half-day sessions. These lessons will build off of one another, and feature a mix of lecture and in-class exercises.



Botanisches Museum, Königin-Luise-Straße 6-8, Berlin



Monday 2nd. 09:30-17:30


Session 1: Data Structures.

In the first session we will survey data structures in R. We'll cover assignment, indexing and programmatic interaction with a number of types of objects, including vectors, matrices, lists and data frames.




 VP Nagraj


Cost overview

Package 1

Course material and refreshments


Package 2

Course material, refreshments, lunch and accommodation

          480 € (VAT included)

      795 € (VAT included)

Please click HERE to get all the information about our packages.

Application deadline is: May 25th, 2018.


Cancellation Policy:


> 30  days before the start date = 30% cancellation fee

< 30 days before the start date= No Refund.


Physalia-courses cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.