res_cor: Calculate the residual correlation from a fitted bivariate...
In aneumann-science/molepi: Tools for Molecular Epidemiology
Description
Usage
Arguments
Details
Value
Description
write_gpf_syntax Bivariate GREML as implemented in GCTA outputs
genetic correlation but not residual correlation. This function calculates
the residual correlation based on the variances and covariances of both
traits.
Usage
1
res_cor(Ve1, Ve2, Ce)
Arguments
Ve1
A numeric value. The residual variance of trait 1.
Ve2
A numeric value. The residual variance of trait 2.
Ce
A numeric value. The residual covariance between
trait 1 and 2.
Details
Formula from Trzaskowski, M., Yang, J., Visscher, P. M., & Plomin, R. (2013).
DNA evidence for strong genetic stability and increasing heritability
of intelligence from age 7 to 12. Molecular psychiatry, 19(3), 380-384.
Value
Residual correlation between trait 1 and 2
aneumann-science/molepi documentation built on May 10, 2019, 11:46 a.m.
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Description Usage Arguments Details Value
Description
write_gpf_syntax Bivariate GREML as implemented in GCTA outputs
genetic correlation but not residual correlation. This function calculates
the residual correlation based on the variances and covariances of both
traits.
Usage
1 | res_cor(Ve1, Ve2, Ce)
|
Arguments
Ve1 |
A numeric value. The residual variance of trait 1. |
Ve2 |
A numeric value. The residual variance of trait 2. |
Ce |
A numeric value. The residual covariance between trait 1 and 2. |
Details
Formula from Trzaskowski, M., Yang, J., Visscher, P. M., & Plomin, R. (2013). DNA evidence for strong genetic stability and increasing heritability of intelligence from age 7 to 12. Molecular psychiatry, 19(3), 380-384.
Value
Residual correlation between trait 1 and 2
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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