R course: Advanced modules
Category: Skill course
Credit points: 0.2 per day
This modular seminar addresses everybody who is interested in improving existing R skills.
There will be
- a little theory
- focus on technical aspects (not on interpretation)
- time for questions and answers
- hands-on training based on the requests you write in the comment field of the registration form. Feel free to approach us with your data
Prerequisites: Basic knowledge of a language of scientific computing: R, Matlab (exercises will be in R) which are taught in the course 'R - The basics'
Lecturer: Thomas Wutzler, Nora Linscheid, David Martini, Daniel Pabon
- When? September 14-16, 2020, start: 9:30 am and 13:30 pm
- Where? MPI for Biogeochemistry, lecture hall
More R… Here is a list of useful online resources to accelerate your progress.
Please make sure that a recent version of R and RStudio is running on your laptop.
You can download the most recent version here: http://www.r-project.org/
RStudio is a new open-source integrated development environment that runs on all platforms. It nicely combines console, script editor, working directory, plots etc. into a an uncluttered layout that you can easily navigate. You need to have R installed before you can use RStudio as a development environment.
Please also make sure that you can access the internet via WLAN (BGC-users, if you have a BGC-account; BGC-guests, if you don't have an account)
Course material are avaialable on nextcloud. Please contact Stefanie to get the password.
There is also a discourse group.
- get data in the right shape using tidyr
- data science using dplyr
- working with subsets of data using nest and map
- graphically explore datasets using ggplot
- Organizing your code + R notebook
- Writing R-packages
- Documentation using Roxygen
- Locating bugs: Debugging
- locating bottlenecks and vectorizing
- twRCourses/inst/Performance (createTable.R)
- some older material in twRCourses/inst/parallel
- Working with your on data or FAQ
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