qtl (version 1.38-4)

mqmplot.singletrait: Plot LOD curves of a multiple-QTL model

Description

Plot the LOD curve for a genome scan for a single trait, with a multiple-QTL model (the output of mqmscan).

Usage

mqmplot.singletrait(result, extended = 0 ,...)

Arguments

result

mqmscan result.

extended

Extended plotting of the information content

...

Extra arguments passed to plot.scanone

See Also

% \input{"inst/docs/Sources/MQM/mqm/standard_seealso.txt"}
• The MQM tutorial:http://www.rqtl.org/tutorials/MQM-tour.pdf
• MQM- MQM description and references
• mqmscan- Main MQM single trait analysis
• mqmscanall- Parallellized traits analysis
• mqmaugment- Augmentation routine for estimating missing data
• mqmautocofactors- Set cofactors using marker density
• mqmsetcofactors- Set cofactors at fixed locations
• mqmpermutation- Estimate significance levels
• scanone- Single QTL scanning % -----^^ inst/docs/Sources/MQM/mqm/standard_seealso.txt ^^-----

Examples

#Simulated F2 Population
f2qtl <- c(3,15,1,0)                                    # QTL at chromosome 3
data(map10)                                             # Mouse genetic map
map10 <- map10[1:3]
f2cross <- sim.cross(map10,f2qtl,n=100,type="f2")       # Simulate a F2 Cross
f2cross <- mqmaugment(f2cross)
f2result <- mqmscan(f2cross)                    	# Do a MQM scan of the genome
mqmplot.singletrait(f2result)					# Use our fancy plotting routine