Nothing
require(kinship2)
#
# Test some twins data from Curtis Oswold
#
twindat <- c(1,3,4,2,
2,0,0,1,
3,8,7,1,
4,6,5,2,
5,0,0,2,
6,0,0,1,
7,0,0,2,
8,0,0,1,
100,3,4,1,
101,3,4,2,
102,3,4,2,
103,3,4,2,
104,3,4,2,
105,3,4,2,
106,3,4,2,
107,0,0,1,
108,0,0,1,
201,2,1,1,
202,2,1,1,
203,2,1,1,
204,2,1,1,
205,107,102,1,
206,108,103,2)
twindat <- matrix(twindat, ncol=4, byrow=T)
dimnames(twindat) <- list(NULL, c('id', 'dadid', 'momid', 'sex'))
twindat <- data.frame(twindat)
## set up a fraternal twin set, and a set of triplets with kids from
## their marriages to test kinship coeff
relate=data.frame(id1=c(101,102,104,203), id2=c(102,103,105,204), code=c(1,1,2,1))
tped <- with(twindat, pedigree(id, dadid, momid, sex,
relation=relate))
## plot(tped)
## should show kinship coeff of 0.5 for where MZ twins are
## ids: 102-103 and 203-204
kinmat <- kinship(tped)
kinmat[c(10:16,19:23),c(10:16,19:23)]
## simple test case for kinship of MZ twins from Claus Ekstrom, 9/2012
mydata <- data.frame(id=1:4, dadid=c(NA, NA, 1, 1),
momid=c(NA, NA, 2, 2), sex=c("male", "female", "male", "male"),
famid=c(1,1,1,1))
relation <- data.frame(id1=c(3), id2=c(4), famid=c(1), code=c(1))
x <- pedigree(id=mydata$id, dadid=mydata$dadid, momid=mydata$momid, sex=mydata$sex, relation=relation)
#plot(x)
kinout <- kinship(x)
kinship2:::kinship.pedigree(x)
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