3. Meetup of Berlin R Users Group - "R and the Crowd"

time series analysis, own packages, modelling count variables, binary logistic modelling with R, data manipulation with dplyr (with magrittr), data visualization with ggvis, making maps with R, introduction to survival analysis with R, logistic regression modelling with R - beyond binary (multinomial and ordinal logistic regression), shiny dashboard, propensity score matching studies, dplyr, ggvis, possibly some of the work I've done with web scraping, network analysis, information visualization, maps and spatial analysis in R, R in the social sciences, basic introduction to dplyr, data mining in R, ODE based models of phytoplankton growth, overview of glmnet, applications of using R in my job environment, R introductionary course, writing functions in R is actually fairly easy, R + knitr + LaTeX: much stronger than Office Word (claim and proof), *apply is the best thing since sliced bread, why you should write a package - and how, modelling election outcomes, discrete choice modeling, bayesian statistics, quantitative marketing/economics, reproducibility in environmental modelling

Just contact me: kogreger@gmail.com

Participate in our group survey here: http://bit.ly/BerlinRUG_Member_Survey

Have a look at our group repository here: http://kogreger.github.io/BerlinRUG