beta_func: Simulate beta
In Holdols/genstats: Analyse genetic data
beta_func R Documentation
Simulate beta
Description
The function simulates the casual effect of each SNP. Since
there are C causal SNPs the distribution of beta is sampled from is a normal distribution
with zero mean and variance as the heritability divided by casual SNPs.
Usage
beta_func(M = 1e+05, h2 = 0.5, C = 1000)
Arguments
M
Size of the beta vector.
h2
The heritability of trait.
C
Amount of causal SNPs.
Value
A vector of size M containing a value from rnorm(1, 0, sqrt(h2/C)) at C random places.
Holdols/genstats documentation built on June 10, 2022, 6:05 a.m.
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| beta_func | R Documentation |
Simulate beta
Description
The function simulates the casual effect of each SNP. Since there are C causal SNPs the distribution of beta is sampled from is a normal distribution with zero mean and variance as the heritability divided by casual SNPs.
Usage
beta_func(M = 1e+05, h2 = 0.5, C = 1000)
Arguments
M |
Size of the beta vector. |
h2 |
The heritability of trait. |
C |
Amount of causal SNPs. |
Value
A vector of size M containing a value from rnorm(1, 0, sqrt(h2/C)) at C random places.
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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