| plot.bim {bim} | R Documentation |
Diagnostic plots highlight putative QTL loci and effects as well as providing graphical model assessment tools.
plot.bim(x, cross, nqtl=1, pattern=NULL, exact=FALSE, ... )
x |
object of class bim |
cross |
corresponding object of class cross |
nqtl |
subset on number of QTL |
pattern |
subset on chromosome pattern of QTL |
exact |
subset on exact pattern or number of QTL if true |
... |
graphical parameters can be given as arguments to plot |
Import object cross using read.cross and simulate
Bayesian interval mapping sample object x using
run.bmapqtl, respectively. This routine creates five plots via
calls to several other plot routines for bim data.
Brian S. Yandell, yandell@stat.wisc.edu
http://www.stat.wisc.edu/~yandell/qtl/software/Bmapqtl
plot,read.cross,run.bmapqtl,
plot.bim.mcmc, plot.bim.loci,
plot.bim.model, plot.bim.effects, plot.bim.diag
data( vern ) data( verngeo.bim ) plot.bim( verngeo.bim, vern )