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Data and code for "Pollen wars: Explosive pollination removes pollen deposited from previously visited flowers

<p>This data consist of 02 data files, 01 code script, and this README document, with the following data and code filenames and variables</p> <p>Data files and variables<br>1. [red flower experiment.csv] [Date: the date the data was taken; Flower number: the flower identity; labelled Pollen count on beak: number of pollen grains placed on hummingbird&rsquo;s bill; Total unlabelled pollen grains on beak: number of unlabelled pollen grains on the hummingbird&rsquo;s bill after visit; labelled pollen on flower keel: number of pollen grains on flower keel after visit; labelled pollen on petals: number of labelled pollen on petals after visit; labelled pollen on flower hairs: number of labelled pollen on flower hairs after visit; Before or After treatment: whether the pollen grains were counted before or after floral visit; Treatment: whether the visit was done on triggered or untriggered flower; Beak Photo number: photo identity of the bill; Keel photo number: photo identity for the keel (none was taken); hair photo number: photo identity for the floral hairs (none was taken); comment: any observation on the experiment; Labelled grains transferred to stigma: number of labelled pollen grains on the stigma after explosion (only one data point); unlabelled grains transferred to stigma: number of unlabelled pollen grains on the stigma after explosion (only one data point)].</p> <p>2. &nbsp; &nbsp; 2. [explosion_data.csv] [Flower number: the flower identity; Before count: number of pollen grains before floral explosion; After Count: number of pollen grains after explosion; Before Minus after: the subtraction of the last two values; % pollen removed: percentage of pollen grains removed by the explosion; Proportion pollen removed: proportion of pollen grains removed by the explosion; % removed (arcsin root transformed): arcsin root transformation for the last values; Total unlabelled pollen grains on beak: total number of pollen grains counted on hummingbird&rsquo;s bill; % removed (arcsin root transformed): arcsin root transformation for the percentage of pollen removed].<br>&nbsp;&nbsp;<br>Code scripts and workflow<br>[script_analysis_Hypenea.R: code for data analysis]<br>1. libraries used on the analysis;<br>2. data loading and processing for explosion analysis;<br>3. modelling; checking model adjustment; anova table; estimation of marginal means; getting predicted values by the model.<br>4. plotting figure;<br>5. data loading and processing for pollen removal;<br>6. modelling; checking model adjustment; anova table; getting predicted values by the model.<br>7. plotting figure;&nbsp;</p> <p>SOFTWARE VERSIONS</p> <p>All the statistical analyses were run in R environment version 4.3.1 (R Development Core Team, 2023) using the default and the following packages: glmmTMB (Brooks et al., 2017), emmeans (Russell, 2022) and car (Fox &amp; Weisberg, 2019). Residual dispersion around the fitted models was checked using Dharma package (Hartig, 2022).</p> <p><br>REFERENCES<br>Brooks, M. E., Kristensen, K., van Benthem, K. J., Magnusson, A., Berg, C. W., Nielsen, A., Skaug, H. J., M&auml;chler, M., and Bolker, B. M. 2017. glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling. The R Journal, 9(2), 378-400. http://dx.doi.org/10.32614/RJ-2017-066&nbsp;</p> <p>Fox, J., and Weisberg, S. 2019. An {R} Companion to Applied Regression, Third Edition. Thousand Oaks CA: Sage. URL: https://socialsciences.mcmaster.ca/jfox/Books/Companion/</p> <p>Hartig, F. 2022. DHARMa: residual diagnostics for hierarchical (multi-level/mixed) regression models. URL https://cran.r-project.org/web/packages/DHARMa/vignettes/DHARMa.html&nbsp;</p> <p>R Development Core Team. 2023. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. URL https://www.r-project.org/&nbsp;</p> <p>Russell, V. L. 2022. emmeans: Estimated Marginal Means, aka Least-Squares Means. R package version 1.7.4-1. https://CRAN.R-project.org/package=emmeans</p>