R Dataset / Package gap / cf

On this R-data statistics page, you will find information about the cf data set which pertains to Cystic fibrosis data. The cf data set is found in the gap R package. You can load the cf data set in R by issuing the following command at the console data("cf"). This will load the data into a variable called cf. If R says the cf data set is not found, you can try installing the package by issuing this command install.packages("gap") and then attempt to reload the data with the library() command. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the cf R data set. The size of this file is about 9,107 bytes.

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

Note

This can be used as an example of converting PL-EM to matrix format,

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

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

Dataset imported from https://www.r-project.org.

Attachments: csv, json

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