witch-plot - A library of (static and dynamic) plotting tools for the WITCH model and DICE/RICE model series.

Started in 2014 by Johannes Emmerling to have quick and reproducible sets of graphs for diagnostics, inspection, and publication.

Requirements

1. Installation: Install R, Rtools, RStudio, GAMS, Github Desktop, (and optionally VSCode as advanced editor)

• R from https://cran.r-project.org/bin/windows/base/
• Rtools from https://cran.r-project.org/bin/windows/Rtools/
• RStudio from https://rstudio.com/products/rstudio/download/#download
• GAMS from https://www.gams.com/download/ (Run the installer in advanced mode and mark the check-box Add GAMS directory to PATH environment variable).
• GitHub Desktop from https://desktop.github.com/ and log-in with your personal GitHub account.
• VisualStudio Code from https://code.visualstudio.com/ (optional)

Installation and running the program

Get the source code either cloning it in Github desktop (preferred), download it from https://github.com/witch-team/witch-plot, or using git at the command line.

To run the program, open the folder "witch-plot" in Rstudio as a project or execute on the command line

Rscript plotgdx_[witch|rice].R

The script will automatically search all results_*.gdx files in the specified folder in the second line of the script and include all in the analysis and plots.

Main Functions

get_witch("varname")

Loads the variable "varname" from all results GDX files and stores them in a data.frame names "varname".

gdxcompaR

ShinyApp based dynamic comparison tool for multiple results files. Simply run 'runApp(appDir = "gdxcompaR/witch")' or runApp(appDir = "gdxcompaR/rice") to launch the interactive App after sourcing the main file 'plotgdx_witch.R' or 'plotgdx_rice.R'.

Further Information

For further information please contact johannes.emmerling@eiee.org