bqtl (version 1.0-36)

residuals.bqtl: Residuals from QTL models

Description

The phenotype data, estimated coefficients, and expected locus values are used to find fitted values for the QTL model

Usage

# S3 method for bqtl
residuals(object,...)

Value

A vector with as many elements trait values used in the original fitted model.

Arguments

object

An object of class bqtl

...

ignored

Author

Charles C. Berry

Details

The estimated coefficients for a specific QTL model fit are used along with the expected locus values (conditionally on the marker values) are used to find fitted values for the QTL model; these are subtracted from the origianl trait values to get residuals. This is not the only way in which such fits could be obtained; one could condition the expected marker values on both the trait value and the marker values. One could also define fitted values for specific genotype combinations, e.g. for a backcross with k animals and a two gene model 4 fitted values could be determined for each animal leading to 2*2*k residuals.

See Also

bqtl

Examples

data(little.ana.bc)

fit.pheno <- bqtl(bc.phenotype~locus(15)+locus(42),little.ana.bc)

summary(residuals(fit.pheno))

plot( fitted( fit.pheno ), residuals( fit.pheno) )

rm(little.ana.bc,fit.pheno)