residualize: Residualization and scale of the original genotype data
In PCFAM: Computation of Ancestry Scores with Mixed Families and Unrelated Individuals
Description
Usage
Arguments
Details
Value
Author(s)
References
Description
Thus function performs a simple residualization of a row-scaled genotype dataset, removing
large-scale population stratification. Output is a residualized dataset appropriate for computing
correlations such that family members can be easily identified.
The function assumes X is row-scaled
Usage
1
residualize(X)
Arguments
X
The original input genotype dataset
Details
This function pre-treatment the data before applying the findfamily function.
Value
Outputs the new row-scaled genotype matrix after residualization
Author(s)
Yi-Hui Zhou
References
Computation of ancestry scores with mixed families and unrelated individuals. arXiv:1606.08416.
PCFAM documentation built on May 2, 2019, 2:37 a.m.
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Description Usage Arguments Details Value Author(s) References
Description
Thus function performs a simple residualization of a row-scaled genotype dataset, removing large-scale population stratification. Output is a residualized dataset appropriate for computing correlations such that family members can be easily identified. The function assumes X is row-scaled
Usage
1 | residualize(X)
|
Arguments
X |
The original input genotype dataset |
Details
This function pre-treatment the data before applying the findfamily function.
Value
Outputs the new row-scaled genotype matrix after residualization
Author(s)
Yi-Hui Zhou
References
Computation of ancestry scores with mixed families and unrelated individuals. arXiv:1606.08416.
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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