INSTALL_EXTRAS.md
In davidski/evaluator: Quantified Risk Assessment Toolkit

Installation Extras

While using the full power of Evaluator is easier with some basic proficency with the R langauge, making quantitative risk analysis available to a broader audience has always been a core goal of this project. Users with less R experience may appreciate these notes on setting up a R environment.

Docker

The simplest method applicable to most users is the corresponding evaluator-docker project. This Dockerfile (and the corresponding pre-built image on Docker Hub) is the fastest and surest means of getting started with Evaluator.

MacOS

For Mac users running homebrew, the following terminal commands can be used to set up a functional environment.

# R and RStudio under homebrew derived from @hrbrmstr's post
# https://rud.is/b/2015/10/22/installing-r-on-os-x-100-homebrew-edition/

# Core R and RStudio
brew install homebrew/science/R
brew install Caskroom/cask/rstudio

# Latex required for PDF knitting
brew cask install mactex

# extra libraries to make other packages easier to work with 
brew install libsvg curl libxml2 gdal geos boost

# font installation
brew tap caskroom/fonts
brew cask install font-fira-code font-iosevka font-inconsolata font-open-sans-condensed font-open-sans font-roboto-condensed
R -e 'install.package("extrafont", repos="http://cran.cnr.berkeley.edu")'
R -e 'extrafont::font_import(prompt = FALSE)'

Then install the Evaluator library either directly from CRAN via install.packages('evaluator') or from GitHub via devtools::install_github('davidski/evaluator').

Windows

Windows users should use chocolately for a simple homebrew-like package manager experience.

Install R
- choco install --yes r
Install miktex for PDF knitting
- choco install --yes miktex
Install RStudio (not available on Chocolately)
- https://www.rstudio.com/products/rstudio/download/#download