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.
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.
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.