SNV_sparse: Simulated Single Nucleotide Variants (SNVs) Data in Sparse...
In songbiostat/wAF: Weighted Adaptive Fisher Method
Description
A simulated dataset containing 1,000 subjects and 100 SNVs. 1% of
the variants are simulated to be causal/associated. Effect strengths
are randomly sampled from U(-0.5, 0.5) distribution.
Usage
1
Format
A list object.
- SNV
A 1,000 by 300 matrix containing the genotypes. Each
component of the matrix denotes the number of minor alleles.
- trait
A vector of length 1,000 containing a continuous trait.
- zero_var
Indexes for columns with no variation. These
columns should be removed if SNV is further used by perm_score, wAF and
wAFd functions.
songbiostat/wAF documentation built on Feb. 26, 2021, 6:24 p.m.
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Description
A simulated dataset containing 1,000 subjects and 100 SNVs. 1% of the variants are simulated to be causal/associated. Effect strengths are randomly sampled from U(-0.5, 0.5) distribution.
Usage
1 |
Format
A list object.
- SNV
A 1,000 by 300 matrix containing the genotypes. Each component of the matrix denotes the number of minor alleles.
- trait
A vector of length 1,000 containing a continuous trait.
- zero_var
Indexes for columns with no variation. These columns should be removed if SNV is further used by perm_score, wAF and wAFd functions.
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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