This repo contains the scripts for reproducing the analyses in the paper.
This repo is organized as a Research Compendium Templete CCS Amsterdam.
- Make sure you have installed
sudo apt-get install python3-pip python3-venv pip3 install doit
- This project requires the following R packages.
install.packages(c("rvest", "tidyverse", "lubridate", "lmtest", "zoo", "corrplot", "rio", "here", "rmarkdown", "stringr"))
- Compiling the articles needs to have a LaTeX distribution installed (e.g. TexLive), as well as
The R package
papaja is also needed.
- Due to large file size, a few data files are not available in this repo. However, they are available from osf.
You can download them manually and then put them into the
data/raw directoty. This process can also be automated: You can obtain these files using the R package
osfr and put them into the
install.packages("osfr") require(osfr) require(tidyverse) require(stringr) osf_retrieve_node("https://osf.io/utxs5/") %>% osf_ls_files -> utxs5_files utxs5_files[str_detect(utxs5_files$name, "RDS$|csv$"), ] %>% osf_download(path = here::here("data/raw"), conflicts = "overwrite")
- Reproduce the analysis
- Render the article
pdf - everything ccr - html version (without online appendix) appendix - appendix only
cd report make pdf make ccr make appendix
R version 4.0.2 (2020-06-22) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Ubuntu 20.04.1 LTS