compute_ld: Compute two commonly used linkage disequilibrium statistics.
In slowkow/proxysnps: Get proxy SNPs for a SNP in the 1000 Genomes Project
Description
Usage
Arguments
Details
Value
Examples
Description
Compute R.squared and D.prime for two binary numeric vectors.
Usage
1
compute_ld(x, y)
Arguments
x
a numeric vector of ones and zeros
y
a numeric vector of ones and zeros
Details
Find more details here:
https://en.wikipedia.org/wiki/Linkage_disequilibrium
Value
A list with two items:
- R.squared
Squared Pearson correlation coefficient.
- D.prime
Coefficient of linkage disequilibrium D divided by the
theoretical maximum.
Examples
1
compute_ld(c(0,0,0,1,1,1), c(1,1,1,1,0,0))
slowkow/proxysnps documentation built on May 30, 2019, 3:06 a.m.
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Description Usage Arguments Details Value Examples
Description
Compute R.squared and D.prime for two binary numeric vectors.
Usage
1 | compute_ld(x, y)
|
Arguments
x |
a numeric vector of ones and zeros |
y |
a numeric vector of ones and zeros |
Details
Find more details here: https://en.wikipedia.org/wiki/Linkage_disequilibrium
Value
A list with two items:
- R.squared
Squared Pearson correlation coefficient.
- D.prime
Coefficient of linkage disequilibrium D divided by the theoretical maximum.
Examples
1 | compute_ld(c(0,0,0,1,1,1), c(1,1,1,1,0,0))
|
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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