README.md

In databrew/sfi:

"Law as Data": DataBrew's collaboration with the Santa Fe Institute

Installation instructions instructions

1. Ensure that the cmu-bright font family is installed on your system (font available in the fonts/cmu-bright directory).

2. Install the package by running the following within an R session:

devtools::install_github('databrew/sfi')

Developer instructions

Clone this repository by running the following from the command line:

git clone https://github.com/databrew/sfi

Then copy the "Databrew Graphics" folder from the privately shared "Box" drive into the data-raw directory of sfi.

Finally install the package by setting the working directory to the newly cloned sfi repo and running the following:

Rscript build_package.R

Usage instructions

Generate all plots

The below produces all_plots.pdf and populates the figures directory with individual image files.

library(sfi)
generate_all()

Use the SFI "theme"

The package includes sfi_theme, a ggplot2-compatible "theme" object which stylizes plots to match SFI's aesthetics.

library(sfi)
library(ggplot2)
df <- data.frame(a = 1:10,
                 b = rnorm(10) + 10,
                 c = sample(letters[1:3], 10, replace = TRUE))
g <- ggplot(data = df,
             aes(x = a,
                 y = b,
                 color = c)) +
  geom_point(size = 5,
             pch = 1) +
  geom_point(size = 5,
             alpha = 0.5) +
  theme(legend.position = 'bottom') +
  scale_color_manual(name = 'Legend',
                     values = make_colors(n = 3,
                                                    bw = TRUE)) +
  labs(x = 'The horizontal x axis',
       y = 'The vertical y axis',
       title = 'Some title',
       subtitle = 'A detailed subtitle')
Rmisc::multiplot(g,
                 g + theme_sfi() +
                   theme(legend.position = 'bottom'),
                 cols = 2)

databrew/sfi documentation built on May 29, 2019, 1:52 a.m.