he: Calculate expected heterozygosity (He)
In HardyWeinberg: Statistical Tests and Graphics for Hardy-Weinberg Equilibrium
he R Documentation
Calculate expected heterozygosity (He)
Description
Function he calculates the expected heterozygosity for a biallelic genetic variant.
Usage
he(x, bias.correct = TRUE)
Arguments
x
a vector or matrix with genotype counts.
bias.correct
if bias.correct = TRUE a correction for bias will be applied.
Details
x can be a vector of genotype counts for a single marker (AA,AB,BB) or a three-column matrix of
genotype counts for multiple markers.
Value
a vector of expected heterozygosities.
Author(s)
Jan Graffelman (jan.graffelman@upc.edu)
See Also
af, maf.
Examples
#
# He for a single marker
#
x <- c(MM=298,MN=489,NN=213)
he(x)
#
# He for a matrix of rmarkers
#
set.seed(123)
X <- HWData(10,100)
he(X)
he(X,bias.correct = FALSE)
HardyWeinberg documentation built on May 29, 2024, 6:17 a.m.
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| he | R Documentation |
Calculate expected heterozygosity (He)
Description
Function he calculates the expected heterozygosity for a biallelic genetic variant.
Usage
he(x, bias.correct = TRUE)
Arguments
x |
a vector or matrix with genotype counts. |
bias.correct |
if |
Details
x can be a vector of genotype counts for a single marker (AA,AB,BB) or a three-column matrix of
genotype counts for multiple markers.
Value
a vector of expected heterozygosities.
Author(s)
Jan Graffelman (jan.graffelman@upc.edu)
See Also
af, maf.
Examples
#
# He for a single marker
#
x <- c(MM=298,MN=489,NN=213)
he(x)
#
# He for a matrix of rmarkers
#
set.seed(123)
X <- HWData(10,100)
he(X)
he(X,bias.correct = FALSE)
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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