makeSimData {SEAGLE} | R Documentation |
Generate synthetic data according to a fixed effects model
Description
This function generates synthetic from the fixed effects model described in the experimental studies portion of the paper.
Usage
makeSimData(
H,
n,
L = 100,
maf = 0.01,
gamma0 = 1,
gammaX = 1,
gammaE = 1,
gammaG,
gammaGE,
causal = 40,
seed = 12345
)
Arguments
H |
Matrix of haplotype data (e.g. cosihap) |
n |
Number of individuals |
L |
Number of SNPs in the G matrix (Default is 100), should be a value between 1 and 604 |
maf |
Minor allele frequency (Default is 0.01) |
gamma0 |
gamma0 Fixed effect coefficient for intercept (Default is 1) |
gammaX |
gammaX Fixed effect coefficient for confounding covariates (Default is 1) |
gammaE |
gammaE Fixed effect coefficient for E effect (Default is 1) |
gammaG |
gammaG Fixed effect coefficient for G main effect |
gammaGE |
gammaGE Fixed effect coefficient for GxE interaction effect |
causal |
Number of causal SNPs (default is 40) |
seed |
Seed (Default is 12345) |
Value
Synthetic dataset containing y, X, E, G, epsilon, and number of causal SNPs
Examples
dat <- makeSimData(H=cosihap, n=500, L=10, gammaG=1, gammaGE=0, causal=4, seed=1)
[Package SEAGLE version 1.0.1 Index]