sim_gmat: Simulate genetic matrix.
In SIMICO: Set-Based Inference for Multiple Interval-Censored Outcomes
sim_gmat R Documentation
Simulate genetic matrix.
Description
Simulates a n x q genetic matrix with the option to specify the common pairwise correlation.
Usage
sim_gmat(n,q,rho)
Arguments
n
Total number of observations.
q
Total number of SNPs.
rho
Common pairwise correlation parameter.
Value
The result of a n x q genetic matrix of q SNPs.
Examples
# Set sample size
n = 100
# Set number of SNPs
q = 5
# Set common pairwise correlation
rho = 0.1
# Simulate genetic matrix
gMat <- sim_gmat(n, q, rho)
SIMICO documentation built on Nov. 26, 2022, 1:06 a.m.
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.
| sim_gmat | R Documentation |
Simulate genetic matrix.
Description
Simulates a n x q genetic matrix with the option to specify the common pairwise correlation.
Usage
sim_gmat(n,q,rho)
Arguments
n |
Total number of observations. |
q |
Total number of SNPs. |
rho |
Common pairwise correlation parameter. |
Value
The result of a n x q genetic matrix of q SNPs.
Examples
# Set sample size n = 100 # Set number of SNPs q = 5 # Set common pairwise correlation rho = 0.1 # Simulate genetic matrix gMat <- sim_gmat(n, q, rho)
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.