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paramlink (version 0.3-1)

linkdat.utils: linkdat utilities

Description

Utility functions for 'linkdat' objects

Usage

spouses(x, id, original.id)

offspring(x, id, original.id)

descendants(x, id, original.id)

pedigreeLoops(x)

uninformative(x, return.reduced.ped=FALSE)

Arguments

x
a linkdat object
id
an integer, the ID of an individual.
original.id
A logical indicating whether 'id' refers to the original ID label or the internal labeling.
return.reduced.ped
A logical indicating whether the uninformative individuals should be removed, and the remaining pedigree returned as a new linkdat object)

Value

  • For spouses(x, id), an integer vector containing the ID's of all pedigree members sharing offspring with id. For offspring(x,id), a vector containing the ID's of the offspring (i.e. children) of individual id. For descendants(x,id), a vector containing the ID's of all descendants (i.e. children, grandchildren, a.s.o.) of individual id. For pedigreeLoops, a list containing all loops found in the pedigree. Each loop is represented as a list with elements 'top', a 'bottom' individual, 'pathA' (individuals forming a path from top to bottom) and 'pathB' (creating a different path from top to bottom, with no individuals in common with pathA). For uninformative, either a numeric vector (if return.reduced.ped=FALSE) containing the ID labels of the uninformative individuals, or (if return.reduced.ped=TRUE) a linkdat object where the uninformative individuals have been removed.

Examples

Run this code
p=cbind(ID=2:9, FID=c(0,0,2,0,4,4,0,2), MID=c(0,0,3,0,5,5,0,8), 
        SEX=c(1,2,1,2,1,2,2,2), AFF=c(2,1,2,1,2,1,1,2))
x=linkdat(p)

desc = descendants(x, 2)
spous = spouses(x, 2)
offs = offspring(x, 2)
stopifnot(setequal(spous, c(3,8)), setequal(offs, c(4,9)), setequal(desc, c(4,6,7,9)))

#Creating a loop and detecting it with 'pedigreeLoops' 
#(note that we get two loops, one for each inbred child):
loopx = addOffspring(x, father=4, mother=9, noffs=2)
lps = pedigreeLoops(loopx)
stopifnot(lps[[1]]$top==2, setequal(sapply(lps, '[[', 'bottom'), 10:11))

#an example with uninformative individuals
data(dominant)
x = linkdat(dominant)
un = uninformative(x)
stopifnot(setequal(un, c(21,23)))

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