gen.f {GENLIB} | R Documentation |
Inbreeding coefficient
Description
Returns the inbreeding coefficients of the specified probands
Usage
gen.f( gen, pro, depthmin= (gen.depth(gen)-1), depthmax= (gen.depth(gen)-1))
Arguments
gen |
An object of class GLgen obtained with gen.genealogy, gen.lineages or gen.branching. Required. |
pro |
Vector of proband id numbers to be included. |
depthmin |
Minimum genealogical depth to consider in the calculation. Default is the whole genealogy. |
depthmax |
Maximum genealogical depth to consider in the calculation. Default is the whole genealogy. |
Value
A vector or GLmultiVector object depending on the number of generations treated. GLmultiVector is an array of vectors, one for each depth. Array of size ('depthMax'-'depthMin'), vectors of size 'length(pro)'. A vector of size 'length(pro)' is returned when ('depthMax'-'depthMin') equals 1.
References
Malecot G. (1948) Les mathematiques de l'heredite. Paris: Masson, p 65.
Thompson EA. (1986) Pedigree Analysis in Human Genetics. Baltimore, MD, USA: Johns Hopkins University Press, p 25.
Karigl G. (1981) A recursive algorithm for the calculation of identity coefficients. Ann Hum Genet 45:299-305.
See Also
Examples
data(geneaJi)
genJi<-gen.genealogy(geneaJi)
f_values<-gen.f(genJi)
f_values
f_allgen<-gen.f(genJi, depthmin=1)
f_allgen<-unclass(f_allgen)
plot(1:7,f_allgen[1,],type="b",xlab="Generation",ylab="Inbreeding values",ylim=c(0,0.25),pch=0)
points(1:7,f_allgen[3,], type="b", lty=12, pch=1)
legend("topright", legend=c("Individual 1", "Individual 29"),lty=c(1,12), pch=c(0,1))
data(genea140)
gen140<-gen.genealogy(genea140)
inbreeding_val<-gen.f(gen140)
boxplot(inbreeding_val, horizontal=TRUE, xlab="Inbreeding values")