Process CRSS Results

Repository includes code used to process CRSS results, starting in April 2015.

Code extends RWDataPlyr and relies on CRSSIO (custom R Packages) to generate the "standard" CRSS figures and tables. Required packages are:

• CoRiverNF (https://github.com/BoulderCodeHub/CoRiverNF)
• CRSSIO (https://github.com/BoulderCodeHub/CRSSIO)
• data.table
• devtools
• dplyr
• feather
• ggplot2
• grid
• gridExtra
• reshape2
• RWDataPlyr
• scales
• stringr
• tidyr

Setup

Ensure the above packages are installed on the computer. CoRiverNF and CRSSIO can be installed as follows, while the others can be installed from CRAN:

library(devtools)
devtools::install_github('BoulderCodeHub/CoRiverNF')
devtools::install_github('BoulderCodeHub/CRSSIO')

Usage

1. Setup a yaml file that determines which scenarios are used and which plots are created. yaml Specification includes the details about the yaml file configuration.
   • It does not matter where you save this file. It can be saved in this repository or in the CRSS folder.
2. Edit main.R.
   • set the path in ui <- parse_yaml_input("some/path/file.yaml") to point to the yaml file created in step 1. The path can be an absolute path or a path relative to the Process-CRSS-Res folder.
3. Call source("code/main.R") to process all of the results.

See doc/README.md for more details on how this process works in the overall CRSS publication process.