morphomapPCA {morphomap}

morphomapPCA

Description

Calculate maps of cortical thickness and perform a Principal Component Analysis

Usage

morphomapPCA(
  mpShapeList,
  gamMap = TRUE,
  nrow = 61,
  ncol = 24,
  rem.out = TRUE,
  scaleThick = FALSE,
  fac.out = 1.5,
  method = "equiangular",
  scalePCA = TRUE,
  unwrap = "A"
)

Arguments

mpShapeList

list: list containing morphomapShape objects

gamMap

list: list containing morphomapShape objects

nrow

list: list containing morphomapShape objects

ncol

list: list containing morphomapShape objects

rem.out

list: list containing morphomapShape objects

scaleThick

list: list containing morphomapShape objects

fac.out

list: list containing morphomapShape objects

method

list: list containing morphomapShape objects

scalePCA

list: list containing morphomapShape objects

unwrap

list: list containing morphomapShape objects

Value

PCscores PC scores

PCs loadings

Variance Table of the explained Variance by the PCs

meanMap mean morphometric map

CorMaps morphometric maps

Author(s)

Antonio Profico

Examples

data(Ex_mpShapeList)
PCA<-morphomapPCA(Ex_mpShapeList)
plot(PCA$PCscores)
barplot(PCA$Variance[,2])