impute_xifti | R Documentation |
"xifti"
dataImpute locations using the values of neighboring locations.
impute_xifti(
xifti,
mask = NULL,
impute_FUN = function(x) {
mean(x, na.rm = TRUE)
},
...
)
xifti |
A |
mask |
A logical vector whose length matches the number of rows in
If On the other hand, if |
impute_FUN |
The function to use to impute the values. It should accept
a vector of numeric values (the values of neighboring locations) and return
a single numeric value (the value to assign). Default: |
... |
Additional arguments to |
Cortex vertices will be imputed using the five or six other vertices which share a face. Subcortex voxels will be imputed using the up to six immediate neighbors.
Note that during imputation, locations in mask
, as well as the medial
wall for the cortex, are temporarily set to NA
.
Note that handling of NA
values and the mask slightly differs from
the cortex and subcortex. impute_FUN
like mean
will behave
similarly, but functions which change depending on the amount of neighbor
locations with NA
values may differ.
impute_FUN
should handle NA
values accordingly.
For most use cases, it will make sense to pass na.rm=TRUE
to
...
if impute_FUN
is a summary function like mean
.
The input xifti
with imputed data values.
Other manipulating xifti:
add_surf()
,
apply_parc()
,
apply_xifti()
,
combine_xifti()
,
convert_xifti()
,
merge_xifti()
,
move_to_mwall()
,
move_to_submask()
,
newdata_xifti()
,
remap_cifti()
,
remove_xifti()
,
resample_cifti()
,
resample_cifti_from_template()
,
scale_xifti()
,
select_xifti()
,
set_names_xifti()
,
smooth_cifti()
,
transform_xifti()
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