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\name{cf}
\docType{data}
\alias{cf}
\title{Cystic fibrosis data}
\description{This data set contains a case-control indicator and 23 SNPs.
The inter-marker distances (Morgan) are as follows
0.000090, 0.000158, 0.005000, 0.000100, 0.000200, 0.000150, 0.000250,
0.000200, 0.000050, 0.000350, 0.000300, 0.000250, 0.000350, 0.000350, 0.000800,
0.000100, 0.000200, 0.000150, 0.000550, 0.006000, 0.000700, 0.001000
}
\usage{data(cf)}
\format{A data frame containing 186 rows and 24 columns}
\source{Liu JS, Sabatti C, Teng J, Keats BJB, Risch N (2001). Bayesian Analysis of Haplotypes for Linkage
Disequilibrium Mapping. Genome Research 11:1716-1724}
\keyword{datasets}
\note{
This can be used as an example of converting PL-EM to matrix format,
\preformatted{
cfdata <- vector("numeric")
cfname <- vector("character")
for (i in 2:dim(cf)[2])
{
tmp <- plem2m(cf[,i])
a1 <- tmp[[1]]
a2 <- tmp[[2]]
cfdata <- cbind(cfdata,a1,a2)
a1name <- paste("loc",i-1,".a1",sep="")
a2name <- paste("loc",i-1,".a2",sep="")
cfname <- cbind(cfname,a1name,a2name)
}
cfdata <- as.data.frame(cfdata)
names(cfdata) <- cfname
}
}
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