Hallo Leute!

Kann vielleicht jemand, der die VU bereits ein paar Infos geben? Wie läufts ab, ist es interessant gemacht?

I did the lecture in the winter term 2014/15. It starts in the middle of November and finishes at the end of the term. For me the lecture was quite interesting. As the title already indicates, during the lecture and for the exercises one has to write code in R. Each lecture some methods are discussed and during the homework every student has to deal with the problems and use the previously presented methods. The content of the lecture is dealing mostly with multivariate statistics (e.g. Re-sampling, bootstrapping, cross-validation, k-means and other cluster-algorithms, multivariate ANOVA). In the course you also deal with regression analysis and analysis of variances. Some of the exercises can be solved quite fast, others are quite extensive. You have to hand them in by copy and they have to contain the whole code and all the plots and results need to be discussed. I would say, it is something like a follow-up lecture of the basic statistic lectures of the “mathematic and biostatistics” compulsory course in the biotechnology master program.
I worked with R-studio which I found is quite convenient: http://www.rstudio.com/
Also part of the lecture is to learn to install packages and other basic handling of the R-environment. Me and some other also installed a LaTex interface (e.g. https://www.tug.org/protext/ ). It is quite nice, because you don’t have to copy the R-code to a text-editor. (see here a youtube introduction for installing the interface: https://www.tug.org/protext/ )
If you have further questions just let me know.

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" Nur durch beständige Ausführung des scheinbar Unmöglichen kann der Erfolg gesichert werden."  (Peter Kropotkin)