simulated_z_score: Compute a simulated Z Score
In mdfortune/simGWAS: Simulating the expected output from a GWAS with a given causal model
Usage
1
simulated_z_score(N0, N1, snps, W, gamma.CV, freq, df_control)
Arguments
N0
The number of Y=0
N1
The number of Y=1
snps
The snps at which we wish to compute the expected Z Score
W
The true causal SNPs (these need not be in "snps")
gamma.CV
The log odds ratios of effect of the true causal SNPs
freq
Frequencies of SNP appearances (computed using snphap)
df_control
A reference set of control samples
Author(s)
Mary Fortune
mdfortune/simGWAS documentation built on May 22, 2019, 3:25 p.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.
Usage
1 | simulated_z_score(N0, N1, snps, W, gamma.CV, freq, df_control)
|
Arguments
N0 |
The number of Y=0 |
N1 |
The number of Y=1 |
snps |
The snps at which we wish to compute the expected Z Score |
W |
The true causal SNPs (these need not be in "snps") |
gamma.CV |
The log odds ratios of effect of the true causal SNPs |
freq |
Frequencies of SNP appearances (computed using snphap) |
df_control |
A reference set of control samples |
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.
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.