morphomap (version 1.5)

morphomapPCA: 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"
)

Value

PCscores PC scores

PCs loadings

Variance Table of the explained Variance by the PCs

meanMap mean morphometric map

CorMaps morphometric maps

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

Author

Antonio Profico

Examples

# \donttest{
data(Ex_mpShapeList)
PCA<-morphomapPCA(Ex_mpShapeList)
plot(PCA$PCscores)
barplot(PCA$Variance[,2])
# }