PHENIX: An R package to estimate a size-controlled phenotypic integration index

Detalhes bibliográficos
Autor(a) principal: Torices, Rubén
Data de Publicação: 2015
Outros Autores: Muñoz-Pajares, A Jesús
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/108951
https://doi.org/10.3732/apps.1400104
Resumo: Organisms usually show intercorrelations between all or some of their components leading to phenotypic integration, which may have deep consequences on the evolution of phenotypes. One of the main difficulties with phenotypic integration studies is how to correct the integration measures for size. This has been considered a challenging task. In this paper, we introduce an R package (PHENIX: PHENotypic Integration indeX), in which we provide functions to estimate a size-controlled phenotypic integration index, a bootstrapping method to calculate confidence intervals, and a randomization method to simulate null distributions and test the statistical significance of the integration. Methods and Results: PHENIX is an open source package written in R. As usual for R packages, the manual and sample data are available at: http://cran.r-project.org/web/packages/PHENIX/index.html. Functions included in this package easily estimate phenotypic integration by controlling a third variable (e.g., the size of the studied organ). • Conclusions: PHENIX helps to estimate and test the statistical signifi cance of the magnitude of integration using one of the most-used methodological approaches, while taking size into account.
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spelling PHENIX: An R package to estimate a size-controlled phenotypic integration indexcorrelationpartial-correlation matrixPHENIXsizesoftwareOrganisms usually show intercorrelations between all or some of their components leading to phenotypic integration, which may have deep consequences on the evolution of phenotypes. One of the main difficulties with phenotypic integration studies is how to correct the integration measures for size. This has been considered a challenging task. In this paper, we introduce an R package (PHENIX: PHENotypic Integration indeX), in which we provide functions to estimate a size-controlled phenotypic integration index, a bootstrapping method to calculate confidence intervals, and a randomization method to simulate null distributions and test the statistical significance of the integration. Methods and Results: PHENIX is an open source package written in R. As usual for R packages, the manual and sample data are available at: http://cran.r-project.org/web/packages/PHENIX/index.html. Functions included in this package easily estimate phenotypic integration by controlling a third variable (e.g., the size of the studied organ). • Conclusions: PHENIX helps to estimate and test the statistical signifi cance of the magnitude of integration using one of the most-used methodological approaches, while taking size into account.Wiley-Blackwell2015-05info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/108951http://hdl.handle.net/10316/108951https://doi.org/10.3732/apps.1400104eng2168-0450Torices, RubénMuñoz-Pajares, A Jesúsinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-09-26T10:11:32Zoai:estudogeral.uc.pt:10316/108951Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:25:11.076443Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv PHENIX: An R package to estimate a size-controlled phenotypic integration index
title PHENIX: An R package to estimate a size-controlled phenotypic integration index
spellingShingle PHENIX: An R package to estimate a size-controlled phenotypic integration index
Torices, Rubén
correlation
partial-correlation matrix
PHENIX
size
software
title_short PHENIX: An R package to estimate a size-controlled phenotypic integration index
title_full PHENIX: An R package to estimate a size-controlled phenotypic integration index
title_fullStr PHENIX: An R package to estimate a size-controlled phenotypic integration index
title_full_unstemmed PHENIX: An R package to estimate a size-controlled phenotypic integration index
title_sort PHENIX: An R package to estimate a size-controlled phenotypic integration index
author Torices, Rubén
author_facet Torices, Rubén
Muñoz-Pajares, A Jesús
author_role author
author2 Muñoz-Pajares, A Jesús
author2_role author
dc.contributor.author.fl_str_mv Torices, Rubén
Muñoz-Pajares, A Jesús
dc.subject.por.fl_str_mv correlation
partial-correlation matrix
PHENIX
size
software
topic correlation
partial-correlation matrix
PHENIX
size
software
description Organisms usually show intercorrelations between all or some of their components leading to phenotypic integration, which may have deep consequences on the evolution of phenotypes. One of the main difficulties with phenotypic integration studies is how to correct the integration measures for size. This has been considered a challenging task. In this paper, we introduce an R package (PHENIX: PHENotypic Integration indeX), in which we provide functions to estimate a size-controlled phenotypic integration index, a bootstrapping method to calculate confidence intervals, and a randomization method to simulate null distributions and test the statistical significance of the integration. Methods and Results: PHENIX is an open source package written in R. As usual for R packages, the manual and sample data are available at: http://cran.r-project.org/web/packages/PHENIX/index.html. Functions included in this package easily estimate phenotypic integration by controlling a third variable (e.g., the size of the studied organ). • Conclusions: PHENIX helps to estimate and test the statistical signifi cance of the magnitude of integration using one of the most-used methodological approaches, while taking size into account.
publishDate 2015
dc.date.none.fl_str_mv 2015-05
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/108951
http://hdl.handle.net/10316/108951
https://doi.org/10.3732/apps.1400104
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https://doi.org/10.3732/apps.1400104
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dc.publisher.none.fl_str_mv Wiley-Blackwell
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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