subcluster: Drop markers in perfect LD with adjacent markers, keeping...
In malemay/HaplotypeMiner: Gene-centered haplotyping from SNP data
subcluster R Documentation
Drop markers in perfect LD with adjacent markers, keeping only a single
representative marker.
Description
Description
Usage
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
NULL
malemay/HaplotypeMiner documentation built on Feb. 6, 2024, 3:29 a.m.
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| subcluster | R Documentation |
Drop markers in perfect LD with adjacent markers, keeping only a single representative marker.
Description
Description
Usage
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
NULL
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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