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PHENIX (version 1.3.1)

Phenotypic Integration Index

Description

Provides functions to estimate the size-controlled phenotypic integration index, a novel method by Torices & Mndez (2014) to solve problems due to individual size when estimating integration (namely, larger individuals have larger components, which will drive a correlation between components only due to resource availability that might obscure the observed measures of integration). In addition, the package also provides the classical estimation by Wagner (1984), bootstrapping and jackknife methods to calculate confidence intervals and a significance test for both integration indices.

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Version

Install

install.packages('PHENIX')

Monthly Downloads

57

Version

1.3.1

License

GPL (>= 2)

Maintainer

A J MuozPajares

Last Published

June 2nd, 2017

Functions in PHENIX (1.3.1)

paeonia

phenotypic integration example dataset #1
pint

Phenotypic integration index by Wagner
pint.p

Phenotypic integration index (by Wagner) significance test
pintsc

size-controlled phenotypic integration
pintsc.p

size-controlled phenotypic integration index significance test
tussilago

phenotypic integration example dataset #2
pint.boot

Phenotypic integration (by Wagner) bootstrap intervals
pint.jack

Phenotypic integration (by Wagner) jackknife resampling
PHENIX-package

size-controlled phenotypic integration index
cor.par

Partial correlation
pintsc.boot

size-controlled phenotypic integration bootstrap intervals
pintsc.jack

size-controlled phenotypic integration jackknife resampling