snps.from.correlated.models: snps.from.correlated.models
In chr1swallace/GUESSFM: Using GUESS for Fine Mapping
Description
Usage
Arguments
Value
Author(s)
Description
internal function: summarise snps from highly correlated models.
Usage
1
snps.from.correlated.models(ret, thr = 0.8, nshow = 10)
Arguments
ret
data.frame generated by qc() on a snpmod
thr
r2 threshold considered unlikely
nshow
number of most frequently occurring SNPs to show
Value
the nshow top SNPs, if any
Author(s)
Chris Wallace
chr1swallace/GUESSFM documentation built on May 13, 2019, 6:17 p.m.
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Description Usage Arguments Value Author(s)
Description
internal function: summarise snps from highly correlated models.
Usage
1 | snps.from.correlated.models(ret, thr = 0.8, nshow = 10)
|
Arguments
ret |
data.frame generated by qc() on a snpmod |
thr |
r2 threshold considered unlikely |
nshow |
number of most frequently occurring SNPs to show |
Value
the nshow top SNPs, if any
Author(s)
Chris Wallace
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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