pint {PHENIX} | R Documentation |
Estimates phenotypic integration indices based on the variance of the eigenvalues of the correlation matrix between phenotypic traits following Wagner (1984).
pint(traits)
traits |
a dataframe or a matrix object containing traits as columns and individuals as rows |
This function estimates the phenotypic integration index (PINT) using the correlation matrix following Wagner (1984), as well as a phenotypic integration index (PINT.c) corrected by the number of traits and individuals of each population. The uncorrected estimate is also expressed as percentage depending on the maximum possible integration levels.
A list with five elements containing:
PINT: |
The phenotypic integration index. |
RelPINT: |
Percentage of maximum possible integration. |
PINT.c: |
Corrected phenotypic integration index. |
N: |
Number of observations used. |
R. Torices, A.J. Muñoz-Pajares
Cheverud, J.M., Wagner, G.P. & Dow, M.M. 1989. Methods for the comparative analysis of variation patterns. Systematic Zoology 38:201–213
Pavlicev, M., Cheverud, J.M. & Wagner, G.P. 2009. Measuring morphological integration using eigenvaluev ariance. Evolutionary Biology 36:157–170
Wagner, G.P. 1984. On the eigenvalue distribution of genetic and phenotypic dispersion matrices: evidence for a nonrandom organization of quantitative character variation. Journal of Mathematical Biology 21:77–95
pint.p
, pint.boot
, pint.jack
, pintsc
# Dataset from Torices & Méndez (2014)
# This data set represents the dry mass (in grams) of inflorescence components of the sunflower
# species Tussilago farfara. The inflorescences were dissected in 'SCAPE', 'RECEPTACLE', 'MALEFL'
# (male flowers), 'OVAR' (reproductive part of female flowers), and 'RAYS' (the petaloid ray of
# female flower). Furthermore in the last column the total weight of the inflorescence is added
# 'TOTALSIZE'
data(tussilago)
pint (tussilago[,1:5]) # the last column is not included since represents the total size
# NOTE that the number of observations used by the function was 18 instead 29 that were
# included in the 'tussilago' data set. Missing values were removed.