ch3b: Data with bad markers
In qtlbook: Datasets for the R/qtl Book
ch3b R Documentation
Data with bad markers
Description
Anonymous data with markers showing severe segregation distortion.
Usage
ch3b
Format
An object of class cross. See qtl::read.cross()
for details.
Details
An intercross with 144 individuals, each with one phenotype and typed at 145
markers.
Source
Karl W Broman, broman@wisc.edu
References
Broman, K. W. and Sen, S. (2009) A Guide to QTL Mapping
with R/qtl. Springer, New York.
See Also
ch3a, ch3c
Examples
data(ch3b)
library(qtl)
thetab <- geno.table(ch3b)
plot(-log10(thetab[,ncol(thetab)]), ylab=expression(-log[10](P)))
thetab[thetab[,ncol(thetab)] < 1e-6,]
qtlbook documentation built on June 8, 2025, 11:20 a.m.
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| ch3b | R Documentation |
Data with bad markers
Description
Anonymous data with markers showing severe segregation distortion.
Usage
ch3b
Format
An object of class cross. See qtl::read.cross()
for details.
Details
An intercross with 144 individuals, each with one phenotype and typed at 145 markers.
Source
Karl W Broman, broman@wisc.edu
References
Broman, K. W. and Sen, S. (2009) A Guide to QTL Mapping with R/qtl. Springer, New York.
See Also
ch3a, ch3c
Examples
data(ch3b)
library(qtl)
thetab <- geno.table(ch3b)
plot(-log10(thetab[,ncol(thetab)]), ylab=expression(-log[10](P)))
thetab[thetab[,ncol(thetab)] < 1e-6,]
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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