filter_by_miss: Function to filter out variants by missing rate p
In Struglab/RVS: Robust Variance Score (RVS) test for association of variants from next generation sequence data with binary traits using external controls
Description
Usage
Arguments
Value
Description
It removes all variants that missing rate are smaller than p in either sample.
Usage
1
filter_by_miss(M1, M2, missing_cut)
Arguments
M1
the additive coding of genotype for sample1
M2
the additive coding of genotype for sample2
missing_cut
the missing rate cut-off, only keep variants with missing rate <p in both samples
Value
a list including row combined genotype from both sample (M) and a vector of index whether a variant pass the missingness filter (k).
Struglab/RVS documentation built on May 9, 2019, 3:11 p.m.
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Description Usage Arguments Value
Description
It removes all variants that missing rate are smaller than p in either sample.
Usage
1 | filter_by_miss(M1, M2, missing_cut)
|
Arguments
M1 |
the additive coding of genotype for sample1 |
M2 |
the additive coding of genotype for sample2 |
missing_cut |
the missing rate cut-off, only keep variants with missing rate <p in both samples |
Value
a list including row combined genotype from both sample (M) and a vector of index whether a variant pass the missingness filter (k).
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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