A collection of tutorials dealing with the use of R packages as ggplot2, Rmarkdown, dplyR, tidyR, magrittR, shiny and NLMpy via PythonInR. For presentation and exercises at workshops as well as to use online as tutorial and cheatsheet .
Authors:
- Cédric Scherer ([email protected])
- Marco Sciaini ([email protected])
The initial version of this tutorial follows a blog entry called Beautiful plotting in R: A ggplot2 cheatsheet by [email protected], posted on 4. August 2014, updated last in January 2016. Most changes were made to have a updated version, to follow the R style guide, to change style and aesthetics of plots to be (more) beautiful and meaningful as well as to include additional tipps. Beside that, data import and setup was modified to RDS.
NLMPY is a free python library to create spatial data from neutral landscape models. This tutorial introduces you into the basic usage and how to run python code from within R.
A short instruction in how to use Markdown for scientific writing, with focus on rmarkdown and the usage in RStudio.
A short shell script to setup an Ubuntu server with RStudio and shiny server. It further installs all necessary software to use the tidyverse and most of the spatial R packages. If you use owncloud, it mounts your cloud into the server's filesystem.