dropEmptyImageDimensions {neurobase} | R Documentation |
Drop Empty Image Dimensions
Description
Drops dimensions of an image that has all irrelevant values
Usage
dropEmptyImageDimensions(
img,
value = 0,
threshold = 0,
other.imgs = NULL,
keep_ind = FALSE,
reorient = FALSE
)
drop_empty_dim(
img,
value = 0,
threshold = 0,
other.imgs = NULL,
keep_ind = FALSE,
reorient = FALSE
)
Arguments
img |
nifti object |
value |
Value to check against. If zero, then
|
threshold |
Drop dimension if fewer than |
other.imgs |
List of other nifti objects or filenames
to apply the same dropping as |
keep_ind |
keep indices in output. Will return list, even if
|
reorient |
Should image be reoriented if a filename? |
Value
List of output image indices, and other images
if other.imgs
not specified or keep_ind = TRUE
.
Otherwise object of class nifti
Note
drop_empty_dim
is a shorthand for dropEmptyImageDimensions
with all the same arguments. Also, NA
are set to zero.
See Also
Examples
set.seed(5)
dims = rep(10, 3)
arr = array(rnorm(prod(dims)), dim = dims)
arr[,,10] = 0
nim = oro.nifti::nifti(arr)
dnim = dropEmptyImageDimensions(nim, keep_ind = TRUE)
new_nim = dnim$outimg
names(dnim)
dnim = dropEmptyImageDimensions(nim, keep_ind = TRUE, other.imgs = nim)
dims = rep(10, 4)
arr = array(rnorm(prod(dims)), dim = dims)
nim = oro.nifti::nifti(arr)
testthat::expect_error(
{dnim = dropEmptyImageDimensions(nim, keep_ind = TRUE)}
)
[Package neurobase version 1.32.4 Index]