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https://github.com/peter-t-ruehr/insectbiteforcedatabase
R Code for the creation of the insect bite force database
https://github.com/peter-t-ruehr/insectbiteforcedatabase
Last synced: about 1 month ago
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R Code for the creation of the insect bite force database
- Host: GitHub
- URL: https://github.com/peter-t-ruehr/insectbiteforcedatabase
- Owner: Peter-T-Ruehr
- License: mit
- Created: 2023-07-21T10:40:22.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-11-07T14:03:01.000Z (about 1 year ago)
- Last Synced: 2024-10-12T16:45:02.033Z (2 months ago)
- Language: R
- Homepage:
- Size: 70.3 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
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README
# R Code for the creation of the insect bite force database
This repository contains the R code that was used to create the tables and figures of the article describing the insect bite force database published under
Rühr et al. (**accepted**): A bite force database of 654 insect species (preprint of earlier manuscript version available at [bioRxiv](https://doi.org/10.1101/2022.01.21.477193)).
## Instructions
1. Open the R project 'Bite_Force_Database.Rproj'. We have used RStudio [1] to run R [2]
2. Open the R script 'Bite_Force_Database.R'
3. Run the scriptThe script contains comments that explain the code step-by-step.
The Zenodo folder that is automatically downloaded by the script is available at [doi.org/10.5281/zenodo.5782922](https://www.doi.org/10.5281/zenodo.5782922). Note that the Zenodo data must be unzipped after download so that all files are located in the same folder as the 'Bite_Force_Database.Rproj' file.
The Zenodo repository already contains all files that are produced by this script (mainly PDFs with plotted figures and the final database csv file 'iBite_table.csv'). Running this script will overwrite those files with the identical content again.
The exact code to produce the database and manuscript is stored under release [1.0.0.](https://github.com/Peter-T-Ruehr/InsectBiteForceDatabase/releases/tag/v1.0.0).
## References
[1]
[2] R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing. (R Foundation for Statistical Computing, 2022).