qmatXL: Matrix *Q* for large pedigrees (parallel processing)
In ggroups: Pedigree and Genetic Groups
qmatXL R Documentation
Matrix Q for large pedigrees (parallel processing)
Description
Creates the genetic group contribution matrix for large pedigrees, with parallel processing.
Usage
qmatXL(ped2, ncl)
Arguments
ped2
: The output data.frame from gghead (for more details: ?gghead)
ncl
: User defined number of nodes; if the number of user defined nodes is greater than the number of genetic groups, the number genetic groups is considered as the number of nodes.
Details
This function is the parallel version of qmatL. It requires foreach and doParallel packages.
Value
Q matrix
Examples
ped = data.frame(ID=c(3,4,6,5), SIRE=c(1,3,4,1), DAM=c(2,2,5,2))
ped2 = gghead(ped)
qmatXL(ped2, 2)
ggroups documentation built on March 28, 2022, 1:06 a.m.
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| qmatXL | R Documentation |
Matrix Q for large pedigrees (parallel processing)
Description
Creates the genetic group contribution matrix for large pedigrees, with parallel processing.
Usage
qmatXL(ped2, ncl)
Arguments
ped2 |
: The output |
ncl |
: User defined number of nodes; if the number of user defined nodes is greater than the number of genetic groups, the number genetic groups is considered as the number of nodes. |
Details
This function is the parallel version of qmatL. It requires foreach and doParallel packages.
Value
Q matrix
Examples
ped = data.frame(ID=c(3,4,6,5), SIRE=c(1,3,4,1), DAM=c(2,2,5,2)) ped2 = gghead(ped) qmatXL(ped2, 2)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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