pPCA-class: Documentation of class pPCA

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

Description

Documentation of class pPCA

Details

The class contains the the follwing slots (still not yet set in stone)

PCA

a list containing

• sdev: the square roots of the covariance matrix' eigenvalues

• rotation: matrix containing the orthonormal PCBasis vectors

• x: the scores within the latent space(scaled by 1/sdev)

• center: a vector of the mean shape in with coordinates ordered

  (x1,y1,z1, x2, y2,z2, ..., xn,yn,zn)

scale

logical: indicating if the data was aligned including scaling

representer

an object of class mesh3d or a list with entry vb being a matrix with the columns containing coordinates and it a 0x0 matrix

sigma

the noise estimation of the data

Variance

a data.frame containing the Variance, cumulative Variance and Variance explained by each Principal component

rawdata

optional data: a matrix with rows containing the mean centred coordinates in order (x1,y1,z1, x2, y2,z2, ..., xn,yn,zn)

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