simulatemissingdata {qtl} | R Documentation |
Simulate missing genotype data by removing some genotype data from the cross object
simulatemissingdata(cross, percentage = 5)
cross |
An object of class cross . See read.cross for details.
|
percentage |
How much of the genotype data do we need to randomly drop? |
An object of class cross
with percentage
Danny Arends danny.arends@gmail.com
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
data(multitrait) multitrait <- fill.geno(multitrait) multimissing5 <- simulatemissingdata(multitrait,perc=5) perc <- (sum(nmissing(multimissing5))/sum(ntyped(multimissing5)))