Skip to content Skip to navigation

Article: strap: an R package for plotting phylogenies against stratigraphy and assessing their stratigraphic congruence

Publication: Palaeontology
Volume: 58
Part: 2
Publication Date: March 2015
Page(s): 379 389
Author(s): Mark A. Bell and Graeme T. Lloyd
Addition Information

How to Cite

BELL, M.A., LLOYD, G.T. 2015. strap: an R package for plotting phylogenies against stratigraphy and assessing their stratigraphic congruence. Palaeontology 58, 2, 379–389.

Author Information

  • Mark A. Bell - Department of Earth Sciences, University College London, London, UK (email: mark.bell521@gmail.com)
  • Graeme T. Lloyd - Department of Earth Sciences, University of Oxford, Oxford, UK (email: graemetlloyd@gmail.com)
  • Graeme T. Lloyd - Department of Biological Sciences, Faculty of Science, Macquarie University, Sydney, Australia

Publication History

  • Issue published online: 5 MAR 2015
  • Article first published online: 18 DEC 2014
  • Manuscript Accepted: 9 NOV 2014
  • Manuscript Received: 8 AUG 2014

Funded By

Grant Number: NE/I005536/1
Leverhulme Foundation. Grant Number: RPG-129

Online Version Hosted By

Wiley Online Library
Get Article: Wiley Online Library [Pay-to-View Access] |

Abstract

strap (Stratigraphic Tree Analysis for Palaeontology) is a new package for the freely available statistical programming language R designed to perform three main tasks: (1) to time-scale phylogenies of fossil taxa; (2) to plot those time-scaled trees against stratigraphy; and (3) to assess congruence between phylogenies and stratigraphy. Time-scaling is performed with the DatePhylo function, with three approaches offered. Plotting trees against a choice of five different geological time scaless is possible using the geoscalePhylo function. Finally, the function StratPhyloCongruence calculates stratigraphic congruence measures for one or more input phylogenies, with no taxon limit. All three major congruence measures are offered: Stratigraphic Consistency Index (SCI), Manhattan Stratigraphic Measure (MSM*) and the gap excess ratio (GER; including GERt and GER*), as well as the pseudocongruence measure, the Relative Completeness Index (RCI). Each measure has an accompanying significance test that works by comparing the input trees against a user-defined number of randomly generated topologies with the same taxon set and age ranges. Additional options for generating these random topologies allow the user to fix the outgroup or retain the input tree shape to make fairer comparisons. A tutorial that assumes no prior knowledge of R showcases all three functions using two different example data sets.

PalAss Go! URL: http://go.palass.org/5x6 | Twitter: Share on Twitter | Facebook: Share on Facebook | Google+: Share on Google+