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Open Source Science

https://github.com/crsh/rep-pag2009

Replication of Paxton & Green (2009)

https://github.com/crsh/rep-pag2009

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    1 of 1 committers (100.0%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (11.9%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Replication of Paxton & Green (2009)

Basic Info
  • Host: GitHub
  • Owner: crsh
  • License: cc-by-4.0
  • Language: R
  • Default Branch: main
  • Size: 2.5 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme License

README.Rmd 

---
output: github_document
---

# Paper title

`r template::author_from_desc()`
Affiliation

---
Abstract
---


This repository contains research products associated with the publication.
We provide the experimental software and stimulus material that we are permitted to share in the `...` directory.
The R Markdown files in the `...` directory contain details about the analyses reported in the paper, as well as instructions on how to rerun the analysis to reproduce the results.
With the help of the R package `rmarkdown` the files can be rendered into the accepted version of the manuscript in `PDF`-format.
The `.../data_raw/` directory contains all the raw data as originally recoreded; merged and processed data files can be found in `.../data_processed/`.
The postprint of the published article can be found at `...`.


## Publication (recommended citation)

`r `

## Dataset description

Data were collected at the lab of ...

| Study        | Data collection period  |
| ------------ | ----------------------- |
| Stud1        | YYYY-MM-DD - YYYY-MM-DD |


Descriptions of the data collection methods are provided in the study protocol and research report.
Processed data are provided `RDS`-format, which can be readily imported into R using `loadRDS()`.
Details about the data processing steps are available in the R Markdown files in `...`.


## Software requirements

### Experimental software

The experiment was programmed using [OpenSesame](http://osdoc.cogsci.nl/). See the respective README documents in the Material subdirectories for additional information.

### Analyses

Analyses were originally run on Ubuntu ... using R ... .

To install `papaja` please review the [installation instructions](https://github.com/crsh/papaja#installation).


## Acknowledgements
...


## Funding
...


## Licensing information

| Material              | License                                                      |
| --------------------- | ------------------------------------------------------------ |
| Stimulus material     | [CC-BY-4.0](http://creativecommons.org/licenses/by/4.0/)     |
| Experimental software | [MIT](http://opensource.org/licenses/MIT) `r format(Sys.Date(), "%Y")` `r template::author_from_desc()` |
| Data                  | [CC-0](http://creativecommons.org/publicdomain/zero/1.0/) attribution requested in reuse |
| Analysis code         | [MIT](http://opensource.org/licenses/MIT) `r format(Sys.Date(), "%Y")` `r template::author_from_desc()` |
| Manuscript            | [CC-BY-4.0](http://creativecommons.org/licenses/by/4.0/)     |


## Contact

Frederik Aust

Psychological Methods Group
Psychology Department
University of Amsterdam

Nieuwe Achtergracht 129-B
1018 WT Amsterdam
The Netherlands

f.aust@uva.nl


## File list

```{r list-files}
cat(list.files(path = ".", recursive = TRUE), sep = "\n")
```

Owner

  • Name: Frederik Aust
  • Login: crsh
  • Kind: user
  • Location: Cologne, Germany
  • Company: Psychological Methods, University of Amsterdam

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Dependencies

DESCRIPTION cran
  • R >= 3.5.0 depends
  • brms * imports
  • dplyr * imports
  • janitor * imports
  • readxl * imports
  • rlang * imports
  • tarchetypes * imports
  • targets * imports
  • tidybayes * imports
  • knitr * suggests
  • quarto * suggests
  • rmarkdown * suggests
  • testthat >= 3.0.0 suggests
Dockerfile docker
  • ${BASE_NAME} latest build
  • rocker/rstudio ${R_RELEASE} build