Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/108951
Title: | PHENIX: An R package to estimate a size-controlled phenotypic integration index | Authors: | Torices, Rubén Muñoz-Pajares, A Jesús |
Keywords: | correlation; partial-correlation matrix; PHENIX; size; software | Issue Date: | May-2015 | Publisher: | Wiley-Blackwell | Serial title, monograph or event: | Applications in Plant Sciences | Volume: | 3 | Issue: | 5 | Abstract: | 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. | URI: | https://hdl.handle.net/10316/108951 | ISSN: | 2168-0450 | DOI: | 10.3732/apps.1400104 | Rights: | openAccess |
Appears in Collections: | I&D CFE - Artigos em Revistas Internacionais |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
PHENIX An R Package to Estimate a Size-Controlled Phenotypic Integration Index.pdf | 702.84 kB | Adobe PDF | View/Open |
Page view(s)
58
checked on Oct 16, 2024
Download(s)
50
checked on Oct 16, 2024
Google ScholarTM
Check
Altmetric
Altmetric
This item is licensed under a Creative Commons License