shape.descriptors: Computes geometric curvature-based descriptors.
In neuroconductor/fsbrain: Managing and Visualizing Brain Surface Data
Description
Usage
Arguments
Value
References
Description
Computes geometric curvature-based descriptors.
Usage
1
shape.descriptors(pc, descriptors = shape.descriptor.names())
Arguments
pc
a 'principal_curvatures' data list, see principal.curvatures for details.
descriptors
vector of character strings, the descriptors you want. See shape.descriptor.names for all available names.
Value
dataframe of descriptor values, each columns contains one descriptor.
References
Shimony et al. (2016). Comparison of cortical folding measures for evaluation of developing human brain. Neuroimage, 125, 780-790.
neuroconductor/fsbrain documentation built on Sept. 16, 2020, 2:30 p.m.
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Description Usage Arguments Value References
Description
Computes geometric curvature-based descriptors.
Usage
1 | shape.descriptors(pc, descriptors = shape.descriptor.names())
|
Arguments
pc |
a 'principal_curvatures' data list, see |
descriptors |
vector of character strings, the descriptors you want. See |
Value
dataframe of descriptor values, each columns contains one descriptor.
References
Shimony et al. (2016). Comparison of cortical folding measures for evaluation of developing human brain. Neuroimage, 125, 780-790.
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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