plot.qb {qtlbim}R Documentation

Diagnostics plots for Bayesian interval mapping

Description

Diagnostic plots highlight putative QTL loci and effects as well as providing graphical model assessment tools.

Usage

## S3 method for class 'qb':
plot(x, ask = dev.interactive(), verbose = TRUE, ...)
## S3 method for class 'qb':
print(x, ...)
## S3 method for class 'qb':
summary(object, cutoff = 1, ...)

Arguments

x An object of class qb.
object An object of class qb.
verbose Verbose summaries if TRUE.
ask Ask before each plot if TRUE.
cutoff Cutoff passed to qb.BayesFactor.
... graphical parameters can be given as arguments to plot

Details

This generic plot routine takes an object of class qb created by qb.mcmc and produces plots via calls to several other plot routines. The generic summary produces a summary, while the generic print passes through to summary.

Author(s)

Brian S. Yandell, yandell@stat.wisc.edu

References

http://www.qtlbim.org

See Also

plot, print, summary, qb.mcmc, qb.coda, qb.loci, qb.BayesFactor, qb.hpdone, qb.epistasis, qb.diag

Examples

data(qbExample)

plot(qbExample)
summary(qbExample)

[Package qtlbim version 1.9.3 Index]