make_dataset: Simulate a dataset given a set of controls (without...
In mdfortune/simGWAS: Simulating the expected output from a GWAS with a given causal model
Usage
Arguments
Value
Author(s)
Usage
1
make_dataset(df, N0, N1, CV, PWgY0, PWgY1)
Arguments
df
control dataset of genotypes to sample from, without phenotype
N0
number of samples with Y=0
N1
number of samples with Y=1
CV
which SNPs are causal?
PWgY0
the distribution of causal snps in controls
PWgY1
the distribution of causal snps in cases
Value
simulated genotype data for N0 controls and N1 cases
Author(s)
Mary Fortune
mdfortune/simGWAS documentation built on May 22, 2019, 3:25 p.m.
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Usage Arguments Value Author(s)
Usage
1 | make_dataset(df, N0, N1, CV, PWgY0, PWgY1)
|
Arguments
df |
control dataset of genotypes to sample from, without phenotype |
N0 |
number of samples with Y=0 |
N1 |
number of samples with Y=1 |
CV |
which SNPs are causal? |
PWgY0 |
the distribution of causal snps in controls |
PWgY1 |
the distribution of causal snps in cases |
Value
simulated genotype data for N0 controls and N1 cases
Author(s)
Mary Fortune
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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