You can load this project in RStudio by opening the file called 'moral_politics.Rproj'.
| File | Description | Usage |
|---|---|---|
| README.md | Description of project | Human editable |
| moral_politics.Rproj | Project file | Loads project |
| LICENSE | User permissions | Read only |
| .worcs | WORCS metadata YAML | Read only |
| prepare_data.R | Script to process raw data | Human editable |
| manuscript/manuscript.rmd | Source code for paper | Human editable |
| manuscript/references.bib | BibTex references for manuscript | Human editable |
| renv.lock | Reproducible R environment | Read only |
This project uses the Workflow for Open Reproducible Code in Science (WORCS) to ensure transparency and reproducibility. The workflow is designed to meet the principles of Open Science throughout a research project.
To learn how WORCS helps researchers meet the TOP-guidelines and FAIR principles, read the preprint at https://osf.io/zcvbs/
- To get started with
worcs, see the setup vignette - For detailed information about the steps of the WORCS workflow, see the workflow vignette
Please refer to the vignette on reproducing a WORCS project for step by step advice.
Some of the data used in this project are not publically available (i.e., us.csv).
The remaining data can be downloaded from https://osf.io/q4mjh/.
Synthetic data with similar characteristics to the original data have been provided. Using the function load_data() will load these synthetic data when the original data are unavailable. Note that these synthetic data cannot be used to reproduce the original results. However, it does allow users to run the code and, optionally, generate valid code that can be evaluated using the original data by the project authors. Synthetic data with similar characteristics to the original data have been provided. Using the function load_data() will load these synthetic data when the original data are unavailable. Note that these synthetic data cannot be used to reproduce the original results. However, it does allow users to run the code and, optionally, generate valid code that can be evaluated using the original data by the project authors. Synthetic data with similar characteristics to the original data have been provided. Using the function load_data() will load these synthetic data when the original data are unavailable. Note that these synthetic data cannot be used to reproduce the original results. However, it does allow users to run the code and, optionally, generate valid code that can be evaluated using the original data by the project authors. Synthetic data with similar characteristics to the original data have been provided. Using the function load_data() will load these synthetic data when the original data are unavailable. Note that these synthetic data cannot be used to reproduce the original results. However, it does allow users to run the code and, optionally, generate valid code that can be evaluated using the original data by the project authors. Synthetic data with similar characteristics to the original data have been provided. Using the function load_data() will load these synthetic data when the original data are unavailable. Note that these synthetic data cannot be used to reproduce the original results. However, it does allow users to run the code and, optionally, generate valid code that can be evaluated using the original data by the project authors. To request access to the original data, open a GitHub issue.