Ped.with.COVs: Pedigree file with covariates
In KarimOualkacha/PCH4Pedigees: Principal Components of Heritability for High Dimension Quantitative Traits and General Pedigrees
Description
Usage
Format
Details
Examples
Description
Pedigree file with four covariates and five quantitative traits.
Usage
1
Format
A data frame with 385 observations on the following 14 variables.
V1Family IDs
V2Subject IDs
V3Father IDs
V4Mother IDs
V5Sex
V6First covariate
V7Second covariate
V8Third covariate
V9Forth covariate
V10Trait 1
V11Trait 2
V12Trait 3
V13Trait 4
V14Trait 5
Details
This data contain 385 subjects (100 families) for which 5 correlated traits are simulated using a mixed model with a global mean alpha = (2,1,3,1,1)
and 4 covariates with fixed effects beta = (1, 0.5, 2, 3).
Examples
1
2
3
4
5
6
data(Ped.with.COVs)
c1.COV = 6
c1.traits = 10
rand.seed.lambda = sample(1:1000,1)
PCH4GeneralPed(Ped.with.COVs, c1.COV, c1.traits, rand.seed.lambda)
KarimOualkacha/PCH4Pedigees documentation built on May 20, 2019, 8:30 a.m.
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Description Usage Format Details Examples
Description
Pedigree file with four covariates and five quantitative traits.
Usage
1 |
Format
A data frame with 385 observations on the following 14 variables.
V1Family IDs
V2Subject IDs
V3Father IDs
V4Mother IDs
V5Sex
V6First covariate
V7Second covariate
V8Third covariate
V9Forth covariate
V10Trait 1
V11Trait 2
V12Trait 3
V13Trait 4
V14Trait 5
Details
This data contain 385 subjects (100 families) for which 5 correlated traits are simulated using a mixed model with a global mean alpha = (2,1,3,1,1) and 4 covariates with fixed effects beta = (1, 0.5, 2, 3).
Examples
1 2 3 4 5 6 | data(Ped.with.COVs)
c1.COV = 6
c1.traits = 10
rand.seed.lambda = sample(1:1000,1)
PCH4GeneralPed(Ped.with.COVs, c1.COV, c1.traits, rand.seed.lambda)
|
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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