Analyses were conducted using the R Statistical language (version 4.4.2; R Core
Team, 2024) on macOS Sequoia 15.2, using the packages brms (version 2.22.0;
Bürkner P, 2017), ggnewscale (version 0.5.0; Campitelli E, 2024), pander
(version 0.6.5; Daróczi G, Tsegelskyi R, 2022), Rcpp (version 1.0.13.1;
Eddelbuettel D et al., 2024), lubridate (version 1.9.3; Grolemund G, Wickham H,
2011), tidybayes (version 3.0.7; Kay M, 2024), bayestestR (version 0.15.0;
Makowski D et al., 2019), MetBrewer (version 0.2.0; Mills BR, 2022), tibble
(version 3.2.1; Müller K, Wickham H, 2023), rcartocolor (version 2.1.1; Nowosad
J, 2018), patchwork (version 1.3.0; Pedersen T, 2024), broom (version 1.0.7;
Robinson D et al., 2024), groundhog (version 3.2.1; Simonsohn U, Gruson H,
2024), ggrepel (version 0.9.6; Slowikowski K, 2024), ggplot2 (version 3.5.1;
Wickham H, 2016), forcats (version 1.0.0; Wickham H, 2023), stringr (version
1.5.1; Wickham H, 2023), tidyverse (version 2.0.0; Wickham H et al., 2019),
dplyr (version 1.1.4; Wickham H et al., 2023), purrr (version 1.0.2; Wickham H,
Henry L, 2023), readr (version 2.1.5; Wickham H et al., 2024), tidyr (version
1.3.1; Wickham H et al., 2024), ggtext (version 0.1.2; Wilke C, Wiernik B,
2022), DT (version 0.33; Xie Y et al., 2024) and kableExtra (version 1.4.0; Zhu
H, 2024).
References
----------
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- Wickham H, Henry L (2023). _purrr: Functional Programming Tools_. R package
version 1.0.2, <https://CRAN.R-project.org/package=purrr>.
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package version 2.1.5, <https://CRAN.R-project.org/package=readr>.
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version 1.3.1, <https://CRAN.R-project.org/package=tidyr>.
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'ggplot2'_. R package version 0.1.2,
<https://CRAN.R-project.org/package=ggtext>.
- Xie Y, Cheng J, Tan X (2024). _DT: A Wrapper of the JavaScript Library
'DataTables'_. R package version 0.33, <https://CRAN.R-project.org/package=DT>.
- Zhu H (2024). _kableExtra: Construct Complex Table with 'kable' and Pipe
Syntax_. R package version 1.4.0,
<https://CRAN.R-project.org/package=kableExtra>.About
This website presents an analysis of the predicted evolutionary response to selection in a population of Drosophila melanogaster. It accompanies the manuscript “Quantifying the phenome-wide response to sex-specific selection in Drosophila melanogaster” in review at Evolution.
The data collation tab contains information on our dataset and documents how it was quality controlled. Our analysis relies on using the mean phenotypic values for near-isogenic lines of flies. Each line carries a single genotype so these phenotypic means can be used as estimates of breeding values.
The Find line means tab documents the statistical modelling we used to find line means when only raw, individual level data was provided by the original study.
The Analysis tab documents our statistical analysis. It includes the code to wrangle the data, run the models and build the figures.
We welcome any queries or comments concerning our analysis; please email tkeaney@uni-mainz.de