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

    plot(qbExample)
    summary(qbExample)

[Package qtlbim version 1.6.5 Index]