phantom_population_study: ANTsR population study using R linear regression.
In stnava/itkImageR: Examples using Rcpp to interface R and ITK
Description
Usage
Arguments
Author(s)
Examples
Description
This example illustrates how to perform a voxel-wise statistical analysis. We assume population data has been normalized to a template and now you want to do a statistical study. Note that the procedure for a first level fMRI study , a 2nd level fMRI study or a morphometry / volumetry / correlation study is very similar. Also, 2D and 3D are equally easy though not equally fast. We assume the mask is in the same space as the input images.
Usage
1
2
3
Arguments
None
Author(s)
Avants BB
Examples
1
2
3
4
## Not run:
source('demo/phantom_population_study.R')
## End(Not run)
stnava/itkImageR documentation built on May 30, 2019, 7:21 p.m.
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Description Usage Arguments Author(s) Examples
Description
This example illustrates how to perform a voxel-wise statistical analysis. We assume population data has been normalized to a template and now you want to do a statistical study. Note that the procedure for a first level fMRI study , a 2nd level fMRI study or a morphometry / volumetry / correlation study is very similar. Also, 2D and 3D are equally easy though not equally fast. We assume the mask is in the same space as the input images.
Usage
1 2 3 |
Arguments
None
Author(s)
Avants BB
Examples
1 2 3 4 | ## Not run:
source('demo/phantom_population_study.R')
## End(Not run)
|
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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