| plot.qb.scanone {qtlbim} | R Documentation |
Plot or print marginal diagnostics of effects from a qb.scanone object.
## S3 method for class 'summary.qb.scanone': print(x, digits = 3, ...) ## S3 method for class 'qb.scanone': print(x, digits = 3, ...) ## S3 method for class 'qb.scanone': plot(x, chr, smooth = 3, scan, ylim, scan.name, col, main, sub, verbose = FALSE, ...)
x |
An object of class qb.scanone. |
digits |
Significant digits to round with print. |
chr |
Vector of chromosomes to plot. Must be integer. |
smooth |
Perform smoothing if > 0 using weighted average over
smooth adjacent points. |
scan |
The model effects to include, the default is all
those included in the scanone object x. |
ylim |
Limits for vertical (y) axis; default uses data limits. |
scan.name |
Name used in automatically generated main title. |
col |
Named vector of colors for plot. Names of colors correspond
to effects to be plotted. Unnamed colors will be made "black". |
main |
Main title for the plot |
sub |
Subtitle for the plot; default is color names if not too long |
verbose |
Give verbose feedback if TRUE. |
... |
Other values passed to the generic plot function. |
This plot method uses plot.scanone as the engine to plot
marginal posterior diagnostics created with qb.scanone. When
there are multiple effects in x, these may be organized into one
or several stacked plots using scan. The default for most
diagnostics except counts is scan = c("sum", "main",
"epis"). Counts and posterior diagnostics are typically plotted in two
stacked plots. Individual columns from the x object can be
plotted by specifying their names as a vector to option scan.
Colors used in plots as character vector.
Brian S. Yandell, yandell@stat.wisc.edu
qb.scanone, summary.qb.scanone,
plot.scanone
example(qb.scanone)