fsl_smoothest: Smoothness Estimation using 'smoothest'

In neuroconductor-devel-releases/fslr: Wrapper Functions for 'FSL' ('FMRIB' Software Library) from Functional MRI of the Brain ('FMRIB')

Description

Smoothness Estimation using smoothest

Usage

fsl_smoothest(
  file,
  residual_image,
  z_image,
  dof = NULL,
  opts = "",
  verbose = TRUE,
  ...
)

Arguments

file	filename of input brain mask
residual_image	4d residual image. If specified, then dof must be specified.
z_image	z-statistic image. Cannot be specified if residual_image is specified
dof	number of degrees of freedom
opts	(character) operations to be passed to smoothest
verbose	(logical) print out command before running
...	additional arguments to pass to fslcmd

Value

An output of smoothness estimate

Examples

if (have_fsl()) {
file = mni_fname(mm = 2, brain = TRUE, mask = TRUE)
img = mni_img(mm = 2, brain = TRUE, mask = FALSE)
mask = mni_img(mm = 2, brain = TRUE, mask = TRUE)
img = zscore_img(img = img, mask = mask)
est = fsl_smoothest(file = file, z_image = img)
}

neuroconductor-devel-releases/fslr documentation built on May 6, 2020, 4:22 p.m.