img_cov_matrix: Neighborhood Covariance Matrix

In muschellij2/extrantsr: Extra Functions to Build on the 'ANTsR' Package

Neighborhood Covariance Matrix

Description

Calculates the neighborhood of multiple images, and then does the covariance of each neighbor with itself in the other imaging modality

Usage

img_cov_matrix(
  imgs,
  mask = NULL,
  radius = rep(1, 3),
  method = c("pearson", "spearman"),
  center = TRUE,
  scale = FALSE,
  verbose = TRUE
)

Arguments

imgs	list of images of class nifti, antsImage, character
mask	Binary image of class nifti, antsImage, character. Only neighborhoods inside the mask will be taken
radius	vector of length 3 for number of voxels to go in each direction. Default is 27 neighbors (including voxel at center). Passed to getNeighborhoodInMask.
method	Type of correlation. If pearson, scaling done on original data. If spearman, the ranks. If you want a covariance, you simply need to do scale = FALSE
center	Should the data be centered
scale	Should the data be scaled
verbose	print diagnostic messages

Value

List of matrix of covariances for each voxel and the order the columns are in.

#' @export

Note

Divisor is n - 1.

muschellij2/extrantsr documentation built on June 3, 2024, 7:04 p.m.