get_cs_correlation: Get correlations between CS, using variable with maximum PIP...
In simingz/ctwas: Adjusting for genetic confounders in transcriptome-wide association studies improves discovery of risk genes of complex traits
get_cs_correlation R Documentation
Get correlations between CS, using variable with maximum PIP from each CS
Description
Get correlations between CS, using variable with maximum PIP from each CS
Usage
get_cs_correlation(res, X = NULL, Xcorr = NULL, max = FALSE)
Arguments
X
n by p matrix of values of the p variables (covariates) in
n samples. When provided, correlation between variables will be
computed and used to remove CSs whose minimum correlation among
variables is smaller than min_abs_corr.
Xcorr
p by p matrix of correlations between variables
(covariates). When provided, it will be used to remove CSs whose
minimum correlation among variables is smaller than
min_abs_corr.
simingz/ctwas documentation built on Sept. 17, 2024, 10:55 p.m.
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| get_cs_correlation | R Documentation |
Get correlations between CS, using variable with maximum PIP from each CS
Description
Get correlations between CS, using variable with maximum PIP from each CS
Usage
get_cs_correlation(res, X = NULL, Xcorr = NULL, max = FALSE)
Arguments
X |
n by p matrix of values of the p variables (covariates) in
n samples. When provided, correlation between variables will be
computed and used to remove CSs whose minimum correlation among
variables is smaller than |
Xcorr |
p by p matrix of correlations between variables
(covariates). When provided, it will be used to remove CSs whose
minimum correlation among variables is smaller than
|
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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