ph.small: Phenotype data: small data set
In grmsem: Genetic-Relationship-Matrix Structural Equation Modelling (GRMSEM)
Description
A small tri-variate data set was simulated assuming an underlying Cholesky model,
with 100 observations per trait and low polygenicity (150 SNPs per genetic factor).
The data set is described in full in the vignette. Genetic and residual
covariances are assumed to be influenced by three independent genetic factors
(A1, A2 and A3, based on a 150 SNPs each) and three independent residual factors (E1, E2 and E3),
respectively.
Usage
1
Format
A data frame with 100 rows and 3 columns
- Y1
trait one
- Y2
trait two
- Y3
trait three
grmsem documentation built on Jan. 29, 2021, 5:07 p.m.
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Description
A small tri-variate data set was simulated assuming an underlying Cholesky model, with 100 observations per trait and low polygenicity (150 SNPs per genetic factor). The data set is described in full in the vignette. Genetic and residual covariances are assumed to be influenced by three independent genetic factors (A1, A2 and A3, based on a 150 SNPs each) and three independent residual factors (E1, E2 and E3), respectively.
Usage
1 |
Format
A data frame with 100 rows and 3 columns
- Y1
trait one
- Y2
trait two
- Y3
trait three
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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