imputeMedoids: Impute missing information at medoid SNPs
In QTCAT/qtcat: Quantitative Trait Cluster Association Test
Description
Uses neighboring SNPs in the clustering hierarchy to impute alleles to
positions with missing values at medoid SNPs.
Usage
1
imputeMedoids(snp, snpClust, hier, min.absCor = 0.25, mc.cores = 1)
Arguments
snp
an object of class snpMatrix.
snpClust
an object of class qtcatClust.
hier
an object of class hierarchy.
min.absCor
a minimum value of correlation. If missing values still exist if this
point in the hierarchy is reached, imputing is done via allele frequencies.
mc.cores
a number of cores for parallelising. Theoretical maximum is
'B'. For details see mclapply.
QTCAT/qtcat documentation built on April 20, 2021, 11:20 p.m.
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Description
Uses neighboring SNPs in the clustering hierarchy to impute alleles to positions with missing values at medoid SNPs.
Usage
1 | imputeMedoids(snp, snpClust, hier, min.absCor = 0.25, mc.cores = 1)
|
Arguments
snp |
an object of class snpMatrix. |
snpClust |
an object of class |
hier |
an object of class hierarchy. |
min.absCor |
a minimum value of correlation. If missing values still exist if this point in the hierarchy is reached, imputing is done via allele frequencies. |
mc.cores |
a number of cores for parallelising. Theoretical maximum is
|
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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