knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "README-" ) # Please put your title here to include it in the file below. Title <- "Title of your paper goes here"
This repository contains the data and code for our paper:
Authors, (YYYY).
r Title
. Name of journal/book https://doi.org/xxx/xxx
Our pre-print is online here:
Authors, (YYYY).
r Title
. Name of journal/book, Accessedr format(Sys.Date(), "%d %b %Y")
. Online at https://doi.org/xxx/xxx
Please cite this compendium as:
Authors, (
r format(Sys.Date(), "%Y")
). Compendium of R code and data forr Title
. Accessedr format(Sys.Date(), "%d %b %Y")
. Online at https://doi.org/xxx/xxx
The analysis directory contains:
paper.docx
, suitable for reading (the code is replaced by figures
and tables in this file)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 itself and optionally RStudio Desktop.
You can download the compendium as a zip from from this URL:
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 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
Text and figures : CC-BY-4.0
Code : See the DESCRIPTION file
Data : CC-0 attribution requested in reuse
We welcome contributions from everyone. Before you get started, please see our contributor guidelines. Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.
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