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Size-correction and principal components for interspecific comparative studies

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dc.creatorRevell, Liam Jamesspa
dc.date.accessioned2020-08-19T14:40:36Z
dc.date.available2020-08-19T14:40:36Z
dc.date.created2009-11-19spa
dc.description.abstractPhylogenetic methods for the analysis of species data are widely used in evolutionary studies. However, preliminary data transformations and data reduction procedures (such as a size?correction and principal components analysis, PCA) are often performed without first correcting for nonindependence among the observations for species. In the present short comment and attached R and MATLAB code, I provide an overview of statistically correct procedures for phylogenetic size?correction and PCA. I also show that ignoring phylogeny in preliminary transformations can result in significantly elevated variance and type I error in our statistical estimators, even if subsequent analysis of the transformed data is performed using phylogenetic methods. This means that ignoring phylogeny during preliminary data transformations can possibly lead to spurious results in phylogenetic statistical analyses of species data.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1111/j.1558-5646.2009.00804.x
dc.identifier.issnISSN: 0014-3820
dc.identifier.issnEISSN: 1558-5646
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/26956
dc.language.isoengspa
dc.publisherSociety for the Study of Evolutionspa
dc.relation.citationEndPage3268
dc.relation.citationIssueNo. 12
dc.relation.citationStartPage3258
dc.relation.citationTitleEvolution: International Journal of Organic Evolution
dc.relation.citationVolumeVol. 63
dc.relation.ispartofEvolution: International Journal of Organic Evolution, ISSN: 0014-3820;EISSN: 1558-5646, Vol.63, No.12 (December 2009); pp. 3258-3268spa
dc.relation.urihttps://onlinelibrary.wiley.com/doi/epdf/10.1111/j.1558-5646.2009.00804.xspa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.sourceEvolution: International Journal of Organic Evolutionspa
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subject.keywordData transformationspa
dc.subject.keywordEvolutionary regressionspa
dc.subject.keywordLeast squaresspa
dc.subject.keywordLinear regressionspa
dc.subject.keywordPCAspa
dc.subject.keywordPhylogenetic comparative methodsspa
dc.subject.keywordPrincipal components analysisspa
dc.titleSize-correction and principal components for interspecific comparative studiesspa
dc.title.TranslatedTitleCorrección de tamaño y componentes principales para estudios comparativos interespecíficosspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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