View source: R/map_construction.R
| formLinkageGroups | R Documentation | 
Use pairwise linkage information between markers (as calculated by
est.rf to partition markers into linkage groups.
formLinkageGroups(cross, max.rf=0.25, min.lod=3, reorgMarkers=FALSE,
                  verbose=FALSE)
| cross | An object of class  | 
| max.rf | Maximum recombination fraction for placing two markers in the same linkage group (see Details). | 
| min.lod | Minimum LOD score for placing two markers in the same linkage group (see Details). | 
| reorgMarkers | If TRUE, the output is a cross object, like the input, but with the markers organized into the inferred linkage groups. If FALSE, the output is a table indicating the initial chromosome assignments and the inferred linkage group partitions. | 
| verbose | If TRUE, display information about the progress of the calculations. | 
Two markers are placed in the same linkage group if the estimated
recombination fraction between them is \le max.rf and
the LOD score (for the test of the rec. frac. = 1/2) is \ge
min.lod.  The transitive property (if A is linked to B and B is
linked to C then A is linked to C) is used to close the groups.
If reorgMarkers=FALSE (the default), the output is a data frame
with rows corresponding to the markers and with two columns: the
initial chromosome assignment and the inferred linkage group.  Linkage
groups are ordered by the number of markers they contain (from largest
to smallest).
If reorgMarkers=TRUE, the output is a cross object, like the
input, but with the markers reorganized into the inferred linkage
groups.  The marker order and marker positions within the linkage
groups are arbitrary.
Karl W Broman, broman@wisc.edu
est.rf, orderMarkers 
data(listeria)
listeria <- est.rf(listeria)
result <- formLinkageGroups(listeria)
tab <- table(result[,1], result[,2])
apply(tab, 1, function(a) sum(a!=0))
apply(tab, 2, function(a) sum(a!=0))
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