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README.md

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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
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Rühr et al. (**in review**): A bite force database of 652 insect species.
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Rühr et al. (**in review**): A bite force database of 655 insect species. (preprint available at [bioRxiv](https://doi.org/10.1101/2022.01.21.477193)).
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## Instructions
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1. Open the R project 'Bite_Force_Database.Rproj'. We have used RStudio [1] to run R [2]
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2. Open the R script 'Bite_Force_Database.R'
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3. Run the script
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1. Open the R project 'Bite_Force_Database.Rproj'. We have used RStudio [1] to run R [2]
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2. Open the R script 'Bite_Force_Database.R'
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3. Run the script
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The script contains comments that explain the code step-by-step.
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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.
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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.
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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.
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## References
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[1] https://www.rstudio.com/
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[1] <https://www.rstudio.com/>
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[2] R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing. (R Foundation for Statistical Computing, 2022).

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