sample_bootstrap: Function to bootstrap sampling
In Struglab/RVS: Robust Variance Score (RVS) test for association of variants from next generation sequence data with binary traits using external controls
Description
Usage
Arguments
Value
Description
It first centralize the input matrix X_1, X_2 for case and controls, then take a random sample from each of them with the same case or control size.
It calls calc_centralize_matrix and called by RVS_rare.
Usage
1
sample_bootstrap(X1, X2)
Arguments
X1
genotype likelihood matrix for case
X2
genotype likelihood matrix for control
Value
two matrices which are the bootstrap sampling of genotype likelihood matrix for case (Xca) and control (Xco).
Struglab/RVS documentation built on May 9, 2019, 3:11 p.m.
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Description Usage Arguments Value
Description
It first centralize the input matrix X_1, X_2 for case and controls, then take a random sample from each of them with the same case or control size.
It calls calc_centralize_matrix and called by RVS_rare.
Usage
1 | sample_bootstrap(X1, X2)
|
Arguments
X1 |
genotype likelihood matrix for case |
X2 |
genotype likelihood matrix for control |
Value
two matrices which are the bootstrap sampling of genotype likelihood matrix for case (Xca) and control (Xco).
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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