R course: Advanced modules

Category: Skill course
Credit points: 0.2 per day

1. Concept

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

2. Place and time

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.

3. What you need to prepare

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.

4. Agenda

4.1 The Tidyverse

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

4.2 Programming

Organizing your code + R notebook
Writing R-packages
Documentation using Roxygen
Locating bugs: Debugging

4.3 Speeding up your computation

locating bottlenecks and vectorizing
twRCourses/inst/Performance (createTable.R)
some older material in twRCourses/inst/parallel

Optional

Working with your on data or FAQ

5. Feedback

Find the feedback of the participants here. Please note, that statistics and statements should not be taken as an exhaustive or exclusive list.