Dataset and R code for 'Do Morphometric Data Improve Phylogenetic Reconstruction? A Systematic Review and Assessment'

<p>Dataset of tree (.tre) files and R code for running generalized Robinson-Foulds distance (Smith, 2020a;b) analysis.&nbsp;</p> <p>The .tre files can be read into R (R Core Team., 2023) using the ape::read.tree function (Paradis et al., 2003), full details in R code file.&nbsp;&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>Paradis, E., Claude, J., &amp; Strimmer, K. (2004). APE: analyses of phylogenetics and evolution in R language. Bioinformatics, 20(2), 289-290.&nbsp;</p> <p>R Core Team. (2023). R: A Language and Environment for Statistical Computing. (Version 4.2.2). R Foundation for Statistical Computing, Vienna, Austria: https://www.R-project.org/.&nbsp;</p> <p>Smith, M. R. (2020a). Information theoretic generalized Robinson&ndash;Foulds metrics for comparing phylogenetic trees. Bioinformatics, 36(20), 5007-5013. https://doi.org/10.1093/bioinformatics/btaa614&nbsp;</p> <p>Smith, M. R. (2020b). TreeDist: distances between phylogenetic trees. R package version 2.7.0. doi:10.5281/zenodo.3528124.&nbsp;</p>