Simulates missing genotype data
Simulate missing genotype data by removing some genotype data from the cross object
simulatemissingdata(cross, percentage = 5)
cross |
An object of class |
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
The MQM tutorial: https://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
data(multitrait) multitrait <- fill.geno(multitrait) multimissing5 <- simulatemissingdata(multitrait,perc=5) perc <- (sum(nmissing(multimissing5))/sum(ntyped(multimissing5)))
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