geteffects: Estimate QTL effects
In ikwak2/funqtl: QTL Mapping for Function-Valued Traits
geteffects R Documentation
Estimate QTL effects
Description
Estimate QTL effect at each genomic position for each of multiple phenotypes.
However, this function uses a simple regression based method to predict the effect. It is recommended to use the fitqtl function referring to a package vignette to predict the effects of QTL.
Usage
geteffects(cross, pheno.cols)
Arguments
cross
An object of class 'cross'. See 'read.cross' for details.
pheno.cols
phenotype columns to be used
Value
A matrix of coefficients. (i,j)th item is a coefficient of jth
position as a qtl of ith observation.
Author(s)
Karl W Broman, Il-Youp Kwak, <email: ikwak2@stat.wisc.edu>
See Also
plotlod
Examples
data(simspal)
simspal <- calc.genoprob(simspal)
phe <- 1:nphe(simspal)
eff <- geteffects(simspal, pheno.cols=phe)
ikwak2/funqtl documentation built on April 20, 2022, 3:58 a.m.
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| geteffects | R Documentation |
Estimate QTL effects
Description
Estimate QTL effect at each genomic position for each of multiple phenotypes. However, this function uses a simple regression based method to predict the effect. It is recommended to use the fitqtl function referring to a package vignette to predict the effects of QTL.
Usage
geteffects(cross, pheno.cols)
Arguments
cross |
An object of class 'cross'. See 'read.cross' for details. |
pheno.cols |
phenotype columns to be used |
Value
A matrix of coefficients. (i,j)th item is a coefficient of jth position as a qtl of ith observation.
Author(s)
Karl W Broman, Il-Youp Kwak, <email: ikwak2@stat.wisc.edu>
See Also
plotlod
Examples
data(simspal) simspal <- calc.genoprob(simspal) phe <- 1:nphe(simspal) eff <- geteffects(simspal, pheno.cols=phe)
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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