Description Usage Arguments Value Author(s) References See Also Examples
loo
calculates the individual contribution to group network data for
each subject in each group using a "leaveoneout" approach. The residuals of
a single subject are excluded, and a correlation matrix is created. This is
compared to the original correlation matrix using the Mantel test.
aop
calculates the individual contribution using an "addonepatient"
approach. The residuals of a single patient are added to those of a control
group, and a correlation matrix is created. This is repeated for all
individual patients and each patient group.
1 2 3 
resids 
An object of class 
corrs 
List of lists of correlation matrices (as output by

level 
Character string; the level at which you want to calculate
contributions (either 
corr.mat 
Numeric; correlation matrix of the control group 
control.value 
Integer or character string specifying the control group (default: 1) 
A data.table
with columns for
Study.ID 
Subject identifier 
Group 
Group membership 
region 
If 
IC,RC 
The value of the individual/regional contributions 
Christopher G. Watson, [email protected]
Saggar M., Hosseini S.M.H., Buno J.L., Quintin E., Raman M.M., Kesler S.R., Reiss A.L. (2015) Estimating individual contributions from groupbased structural correlations networks. NeuroImage, 120:274284. doi:10.1016/j.neuroimage.2015.07.006
Other Structural covariance network functions: brainGraph_boot
,
brainGraph_init
,
brainGraph_permute
,
corr.matrix
, get.resid
,
plot.brainGraph_resids
,
plot_volumetric
Other Group analysis functions: NBS
,
brainGraph_GLM
,
brainGraph_boot
,
brainGraph_mediate
,
brainGraph_permute
, mtpc
1 2 3 4 5 6 7 8 9 10 
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.