parc_mean_mat: Make parcellation mean matrix
In ciftiTools: Tools for Reading, Writing, Viewing and Manipulating CIFTI Files
parc_mean_mat R Documentation
Make parcellation mean matrix
Description
Create a matrix that compute the average value for each parcel.
Usage
parc_mean_mat(parc)
Arguments
parc
A single-column "dlabel" "xifti" object.
Details
From a single-column "dlabel" "xifti" object, make a K \times V
matrix where row k is a vector corresponding to the kth Key value,
with 1/k_i at locations with that key value, and 0 elsewhere.
k_i is the total number of locations inside Key k.
So, the sum of each row will be 1, and each column will only
have exactly one non-zero value (because each location only has one Key
value) except medial wall locations will have all zeroes.
Multiplying the result of parc_mean_mat with a V \times T matrix
of timeseries data, e.g. from as.matrix(dlabel_xii), will yield the
average value for each Key.
Value
The parcellation matrix
ciftiTools documentation built on Oct. 4, 2024, 1:12 a.m.
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| parc_mean_mat | R Documentation |
Make parcellation mean matrix
Description
Create a matrix that compute the average value for each parcel.
Usage
parc_mean_mat(parc)
Arguments
parc |
A single-column "dlabel" |
Details
From a single-column "dlabel" "xifti" object, make a K \times V
matrix where row k is a vector corresponding to the kth Key value,
with 1/k_i at locations with that key value, and 0 elsewhere.
k_i is the total number of locations inside Key k.
So, the sum of each row will be 1, and each column will only
have exactly one non-zero value (because each location only has one Key
value) except medial wall locations will have all zeroes.
Multiplying the result of parc_mean_mat with a V \times T matrix
of timeseries data, e.g. from as.matrix(dlabel_xii), will yield the
average value for each Key.
Value
The parcellation matrix
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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