sparseDecom: Convenience wrapper for eigenanatomy decomposition.

In stnava/itkImageR: Examples using Rcpp to interface R and ITK

Description

Decomposes a matrix into sparse eigenevectors to maximize explained variance.

Usage

sparseDecom( inmatrix=NA,  inmask=NA , sparseness=0.01 , nvecs=50 , its=5 , cthresh=250 )

Arguments

inmatrix	n by p input images , subjects or time points by row , spatial variable lies along columns
inmask	optional antsImage mask
other params	see sccan for other parameters

Value

outputs a decomposition of a population or time series matrix

Author(s)

Avants BB

Examples

## Not run: 
mat<-replicate(100, rnorm(20)) 
mydecom<-sparseDecom( mat ) 

## End(Not run)

stnava/itkImageR documentation built on May 30, 2019, 7:21 p.m.