sim.pheno.bin.G: Generates phenotype statuses
In agaye/ESPRESSO.G: Power Analysis and Sample Size Calculation for a model with a main effect genetic covariate
Description
Usage
Arguments
Value
Author(s)
Description
Generates affected and non-affected subjects using the
genotypes.
Usage
1
2
sim.pheno.bin.G(num.obs = 10000, disease.prev = 0.1, genotype = NULL,
subject.effect.data = NULL, geno.OR = 1.5)
Arguments
num.obs
number of observations to generate per
iteration.
disease.prev
prevalence of the binary outcome.
genotype
a vector that represents the exposure
data.
subject.effect.data
subject effect data, reflects
the heterogenity in baseline disease risk.
geno.OR
odds ratio related to the 'at risk'
genotype.
Value
a binary vector that represents the phenotype data.
Author(s)
Gaye A.
agaye/ESPRESSO.G documentation built on May 10, 2019, 7:31 a.m.
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Description Usage Arguments Value Author(s)
Description
Generates affected and non-affected subjects using the genotypes.
Usage
1 2 | sim.pheno.bin.G(num.obs = 10000, disease.prev = 0.1, genotype = NULL,
subject.effect.data = NULL, geno.OR = 1.5)
|
Arguments
num.obs |
number of observations to generate per iteration. |
disease.prev |
prevalence of the binary outcome. |
genotype |
a vector that represents the exposure data. |
subject.effect.data |
subject effect data, reflects the heterogenity in baseline disease risk. |
geno.OR |
odds ratio related to the 'at risk' genotype. |
Value
a binary vector that represents the phenotype data.
Author(s)
Gaye A.
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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