statismoBuildModel: generate a statistical model using an array of superimposed...

In zarquon42b/RvtkStatismo: Integrating statismo and R using the vtkStandardMeshRepresenter

Description

generate a statistical model using an array of superimposed landmarks

Usage

statismoBuildModel(x, representer, sigma = 0, scale = FALSE,
  SelfAdjointEigenSolver = FALSE)

Arguments

x	array of aligned 3D-coordinates or a list of aligned registered meshes.
representer	matrix or triangular mesh of class "mesh3d" with vertices corresponding to rows in the array.
sigma	noise in the data
scale	logical: set to TRUE, if scaling was involved in the registration.
SelfAdjointEigenSolver	logical: if TRUE SelfAdjointEigenSolver is used during model building. Only use this if sample size exceeds amount of variables (faster but less accurate) - can lead to errors otherwise.

Value

an object of class pPCA (pPCA-class)

See Also

pPCA, pPCA-class, rigidAlign, meshalign

Examples

require(Morpho)
data(boneData)
align <- rigidAlign(boneLM)$rotated
mymod <- statismoBuildModel(align,representer=align[,,1],sigma=2,scale=TRUE)
## save it
statismoSaveModel(mymod,"mymod.h5")

zarquon42b/RvtkStatismo documentation built on May 4, 2019, 9:09 p.m.