Lausanne, 4 April 2014
This course will focus on the concept and techniques that allow statisticians/data analysts to ensure as much as possible that their analysis performed using R is reproducible.
Reproducible research in statistical analysis is the idea that it should be possible for other people to reproduce a published data analysis and obtain the same results ("other people" also include the person who did the initial data analysis, 6 months later). While all data analysts agree that the concept of reproducible research is important, very few of them actually take active steps to ensure that their work is reproducible.
Participants should have experience in using R for analyzing data. Basic knowledge of LaTeX or LyX is an advantage.
Participants should bring a laptop and be able to install custom applications. A list of required applications including R, LaTeX and GIT will be provided before the course.
is now closed.
The application fees for academics are 50 CHF. The fees include course material, coffee breaks and a lunch. Participants from non-academic institutions should contact us. Deadline for registration and free-of-charge cancellation is set to the 25th of March 2014.
The course will be taught by Sarah Gerster, PhD and Frédéric Schütz, PhD.
We will recommend 0.375 ECTS credit for this workshop.
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