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<!-- README.md is generated from README.Rmd. Please edit that file -->
# europe.inequality
[](https://mybinder.org/v2/gh///master?urlpath=rstudio)
This repository contains the data and code for our paper:
> Authors, (YYYY). *On the numerical inevitability of socialism*. Name
> of journal/book <https://doi.org/xxx/xxx>
Our pre-print is online here:
> Authors, (YYYY). *On the numerical inevitability of socialism*. Name
> of journal/book, Accessed 03 Dez 2020. Online at
> <https://doi.org/xxx/xxx>
### How to cite
Please cite this compendium as:
> Authors, (2020). *Compendium of R code and data for On the numerical
> inevitability of socialism*. Accessed 03 Dez 2020. Online at
> <https://doi.org/xxx/xxx>
## Contents
The **analysis** directory contains:
- [:file\_folder: paper](/analysis/paper): R Markdown source document
for manuscript. Includes code to reproduce the figures and tables
generated by the analysis. It also has a rendered version,
`paper.docx`, suitable for reading (the code is replaced by figures
and tables in this file)
- [:file\_folder: data](/analysis/data): Data used in the analysis.
- [:file\_folder: figures](/analysis/figures): Plots and other
illustrations
- [:file\_folder:
supplementary-materials](/analysis/supplementary-materials):
Supplementary materials including notes and other documents prepared
and collected during the analysis.
## How to run in your broswer or download and run locally
This research compendium has been developed using the statistical
programming language R. To work with the compendium, you will need
installed on your computer the [R
software](https://cloud.r-project.org/) itself and optionally [RStudio
Desktop](https://rstudio.com/products/rstudio/download/).
The simplest way to explore the text, code and data is to click on
[binder](https://mybinder.org/v2/gh///master?urlpath=rstudio) to open an
instance of RStudio in your browser, which will have the compendium
files ready to work with. Binder uses rocker-project.org Docker images
to ensure a consistent and reproducible computational environment. These
Docker images can also be used locally.
You can download the compendium as a zip from from this URL:
[master.zip](/archive/master.zip). After unzipping: - open the `.Rproj`
file in RStudio - run `devtools::install()` to ensure you have the
packages this analysis depends on (also listed in the
[DESCRIPTION](/DESCRIPTION) file). - finally, open
`analysis/paper/paper.Rmd` and knit to produce the `paper.docx`, or run
`rmarkdown::render("analysis/paper/paper.Rmd")` in the R console
### Licenses
**Text and figures :**
[CC-BY-4.0](http://creativecommons.org/licenses/by/4.0/)
**Code :** See the [DESCRIPTION](DESCRIPTION) file
**Data :** [CC-0](http://creativecommons.org/publicdomain/zero/1.0/)
attribution requested in reuse
### Contributions
We welcome contributions from everyone. Before you get started, please
see our [contributor guidelines](CONTRIBUTING.md). Please note that this
project is released with a [Contributor Code of Conduct](CONDUCT.md). By
participating in this project you agree to abide by its terms.