get_similarity_mx: Function to calculate the covariance structure (K) matrix.
In jinhyunju/confeti: CONfounding Factor Estimation Through Independent component analysis (CONFETI)
Description
Usage
Arguments
Value
Description
Creating the K matrix based on non-genetic independent components.
Usage
1
get_similarity_mx(ica_object, normalize_ystar = FALSE)
Arguments
ica_object
ICA object that contains the confounding factor labels generated with 'ica_genotype_test'.
normalize_ystar
If set to TRUE phenotype values of the reconstructed y will be mean centered and divided by their standard deviation.
Value
N x N covariance structure matrix.
jinhyunju/confeti documentation built on May 19, 2019, 10:35 a.m.
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Description Usage Arguments Value
Description
Creating the K matrix based on non-genetic independent components.
Usage
1 | get_similarity_mx(ica_object, normalize_ystar = FALSE)
|
Arguments
ica_object |
ICA object that contains the confounding factor labels generated with 'ica_genotype_test'. |
normalize_ystar |
If set to TRUE phenotype values of the reconstructed y will be mean centered and divided by their standard deviation. |
Value
N x N covariance structure 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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