groupclusteredheatmap {qtl} | R Documentation |
Retrieving groups of clustered traits from the output of mqmplot.clusteredheatmap.
groupclusteredheatmap(cross, clusteredheatmapresult, height)
cross |
An object of class cross . See read.cross for details.
|
clusteredheatmapresult |
Resultint dendrogram object from mqmplot.clusteredheatmap |
height |
Height at which to 'cut' the dendrogram, a higher cut-off gives less but larger groups.
Height represents the maximum distance between two traits clustered together using hclust. the 'normal'
behaviour of bigger groups when using a higher heigh cut-off depends on the tree stucture and the amount
of traits clustered using mqmplot.clusteredheatmap |
A list containing groups of traits which were clustered together with a distance less that height
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) # impute missing genotype data result <- mqmscanall(multitrait, logtransform=TRUE) cresults <- mqmplot.clusteredheatmap(multitrait,result) groupclusteredheatmap(multitrait,cresults,10)