Dataset for tree congruence: quantifying similarity between dendrogram topologies
Dataset for tree congruence: quantifying similarity between dendrogram topologies
This dataset comprises 40 simulated dendrograms generated from MRPs and retaining suboptimal trees. There are four sets of dendrograms, each set comprises 10 dendrograms. The sets of dendrograms have 11, 21, 31 and 41 terminal nodes respectively. The sets of dendrograms were analysed using CRI (Vidovic & Martill 2017), MASTxCF (New), CF (Colless 1980), R-F (Robinson & Foulds 1981), Mickevich’s CIM (Mickevich 1980), Rohlf’s CI1 (Rohlf 1982), Weighted CF (Colless 1980), and SPR distances (Goloboff 2008). Additionally, Kendall’s tau-b was used to measure the concordance between the 1,620 results and Spearman’s rho was used to confirm those findings.
CF, MASTxCF, Weighted CF, CIM and CI1 were generated in PAUP. MASTxCF was manually calculated from information obtained in PAUP but an R script was subsequently written and the results were recalculated, as were the CF indices. The SPR distances, one of the R-F metrics, and distortion coefficient were calculted in TNT. The CRI and R-F distances were calculated in R only. The procedures for the CRI, MASTxCF, CF and R-F are given.
University of Southampton
Vidovic, Steven
abba74b7-4c91-4f08-b8f1-4d9e836a43e4
Vidovic, Steven
abba74b7-4c91-4f08-b8f1-4d9e836a43e4
Vidovic, Steven
(2019)
Dataset for tree congruence: quantifying similarity between dendrogram topologies.
University of Southampton
doi:10.5258/SOTON/D1069
[Dataset]
Abstract
This dataset comprises 40 simulated dendrograms generated from MRPs and retaining suboptimal trees. There are four sets of dendrograms, each set comprises 10 dendrograms. The sets of dendrograms have 11, 21, 31 and 41 terminal nodes respectively. The sets of dendrograms were analysed using CRI (Vidovic & Martill 2017), MASTxCF (New), CF (Colless 1980), R-F (Robinson & Foulds 1981), Mickevich’s CIM (Mickevich 1980), Rohlf’s CI1 (Rohlf 1982), Weighted CF (Colless 1980), and SPR distances (Goloboff 2008). Additionally, Kendall’s tau-b was used to measure the concordance between the 1,620 results and Spearman’s rho was used to confirm those findings.
CF, MASTxCF, Weighted CF, CIM and CI1 were generated in PAUP. MASTxCF was manually calculated from information obtained in PAUP but an R script was subsequently written and the results were recalculated, as were the CF indices. The SPR distances, one of the R-F metrics, and distortion coefficient were calculted in TNT. The CRI and R-F distances were calculated in R only. The procedures for the CRI, MASTxCF, CF and R-F are given.
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Data_for_tree_congruence.html
- Dataset
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tree_congruence_Read_Me.txt
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Published date: 2019
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Local EPrints ID: 434213
URI: http://eprints.soton.ac.uk/id/eprint/434213
PURE UUID: ffba2ce1-9816-46e0-90bd-5d0e19d2120a
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Date deposited: 16 Sep 2019 18:52
Last modified: 07 Feb 2024 03:00
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Creator:
Steven Vidovic
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