subcluster: Drop markers in perfect LD with adjacent markers, keeping...
In malemay/HaplotypeMiner: Gene-centered haplotyping from SNP data
Description
Usage
Arguments
Details
Value
Examples
Description
Description
Usage
1
subcluster(snp_data, block_threshold = 1, reverse = FALSE)
Arguments
snp_data
The snp_data to be filtered.
block_threshold
The minimum R^2 for two adjacent markers to be
eligible for blocking (default: 1).
reverse
If true, blocks start at the most 3' position.
Details
Details
Value
A subset of the original snp_data containing only one
representative marker per LD block.
Examples
1
malemay/HaplotypeMiner documentation built on May 28, 2019, 2:48 p.m.
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Description Usage Arguments Details Value Examples
Description
Description
Usage
1 | subcluster(snp_data, block_threshold = 1, reverse = FALSE)
|
Arguments
snp_data |
The snp_data to be filtered. |
block_threshold |
The minimum R^2 for two adjacent markers to be eligible for blocking (default: 1). |
reverse |
If true, blocks start at the most 3' position. |
Details
Details
Value
A subset of the original snp_data containing only one
representative marker per LD block.
Examples
1 |
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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