neurobase (version 1.32.4)

applyEmptyImageDimensions-methods: Apply Subsetting from Empty Image Dimensions

Description

Simple wrapper for subsetting an image with indices, dropping empty dimensions.

Usage

applyEmptyImageDimensions(img, inds, reorient = FALSE, ...)
# S4 method for nifti
applyEmptyImageDimensions(img, inds, reorient = FALSE, ...)
# S4 method for character
applyEmptyImageDimensions(img, inds, reorient = FALSE, ...)
# S4 method for factor
applyEmptyImageDimensions(img, inds, reorient = FALSE, ...)
# S4 method for list
applyEmptyImageDimensions(img, inds, reorient = FALSE, ...)
# S4 method for array
applyEmptyImageDimensions(img, inds, reorient = FALSE, ...)
# S4 method for anlz
applyEmptyImageDimensions(img, inds, reorient = FALSE, ...)
# S4 method for ANY
applyEmptyImageDimensions(img, inds, reorient = FALSE, ...)
apply_empty_dim(img, ...)

Value

Object of class nifti or array if nifti

is not supplied

Arguments

img

image, nifti object, or array

inds

indices of subset from getEmptyImageDimensions or dropEmptyImageDimensions.

reorient

Should image be reoriented if a filename?

...

not used

See Also

getEmptyImageDimensions, dropEmptyImageDimensions

Examples

set.seed(5)
dims = rep(10, 3)
arr = array(rnorm(prod(dims)), dim = dims)
arr[,,10] = 0
nim = oro.nifti::nifti(arr)
inds = getEmptyImageDimensions(nim)
inds_arr = getEmptyImageDimensions(arr)
testthat::expect_equal(inds, inds_arr)

out = applyEmptyImageDimensions(nim, inds = inds)
out_arr = applyEmptyImageDimensions(arr, inds = inds)
testthat::expect_equal(out_arr, array(out, dim = dim(out)))
out = apply_empty_dim(nim, inds = inds)

set.seed(5)
dims = rep(10, 3)
arr = array(rnorm(prod(dims)), dim = dims)
arr[,,10] = 0
nim = oro.nifti::nifti(arr)
inds = getEmptyImageDimensions(nim)
rnifti = RNifti::asNifti(nim)
timg = tempimg(nim)
limg = list(factor(timg), factor(timg))
apply_empty_dim(nim, inds = inds)
func = function(...) applyEmptyImageDimensions(..., inds = inds)
func(arr)
func(nim)
func(rnifti)
func(timg)
func(limg)