MLECScorrection {Arothron}R Documentation

MLECScorrection Maximum Likelihood Estimation of the normalization factor to be applied to optimize the correlation between two landmark configurations to be combined by using twodviews and

Description

MLECScorrection Maximum Likelihood Estimation of the normalization factor to be applied to optimize the correlation between two landmark configurations to be combined by using twodviews and

Usage

MLECScorrection(array1, array2, scale = TRUE, nPCs = 1:5)

Arguments

array1

array: first set of landmark configuration

array2

array: second set of landmark configuration

scale

logical: if FALSE the analysis is performed in the shape space, if TRUE the analysis is performed in the size and shape space (gpa without scaling)

nPCs

numeric vector: specify which PC scores will be selected in the correlation test

Value

PCscores PCscores matrix of the combined dataset applying the normalization factor calculated by using the maximum likelihood estimation

PCs PCs matrix of the combined dataset applying the normalization factor calculated by using the maximum likelihood estimation

corr mean correlation between original and combined dataset

CSratios normalization factor calculated by using the maximum likelihood estimation

Author(s)

Antonio Profico, Costantino Buzi, Marina Melchionna, Paolo Piras, Pasquale Raia, Alessio Veneziano


[Package Arothron version 2.0.2 Index]