| Title | Time | Room | Teacher |
|---|---|---|---|
| Using R for Statistical Data Analysis | 27.02.2020 09:00 - 17:00 (Thu) | TUM Graduate School Boltzmannstraße 17, 85748 Garching | Dr. Stephan Haug |
| Using R for Statistical Data Analysis | 28.02.2020 09:00 - 17:00 (Fri) | TUM Graduate School Boltzmannstraße 17, 85748 Garching | Dr. Stephan Haug |
In this learning-by-doing course, doctoral candidates will receive an introduction on how to use R for statistical data analysis.
Topics:
- introduction to R and the RStudio IDE
- import/export data
- data management using dplyr
- visualisation using ggplot2
- basic statistical analyses in R
- introduction to regression analysis in R
In addition the course will show how to do reproducible research by using R. Therefore we will use the knitr (https://yihui.name/knitr/) and rmarkdown (https://rmarkdown.rstudio.com/) package.
Requirements: The course requires that everyone already has some very basic R knowledge, i.e. knowledge about object types like vectors, data frames and lists. One can gain such basic knowledge with the swirl course (https://swirlstats.com/) R programming.
Important: Please bring your own laptop with you and install R and RStudio (https://www.rstudio.com/). In addition your laptop should be able to connect to a wireless network.