nt2r: Simulate r-scores of each training set size
In TSDFGS: Training Set Determination for Genomic Selection
nt2r R Documentation
Simulate r-scores of each training set size
Description
Calculate r-scores (un-target) by in parallel.
Usage
nt2r(geno, nt, n_iter = 30, multi.threads = TRUE)
Arguments
geno
A numeric dataframe of genotype, column represent sites (genotype coding as 1, 0, -1)
nt
Numeric. Number of training set size
n_iter
Times of iteration. (default = 30)
multi.threads
Default: TRUE
Value
A vector of r-scores of each iteration
Examples
data(geno)
## Not run: nt2r(geno, 50)
TSDFGS documentation built on June 7, 2022, 5:06 p.m.
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| nt2r | R Documentation |
Simulate r-scores of each training set size
Description
Calculate r-scores (un-target) by in parallel.
Usage
nt2r(geno, nt, n_iter = 30, multi.threads = TRUE)
Arguments
geno |
A numeric dataframe of genotype, column represent sites (genotype coding as 1, 0, -1) |
nt |
Numeric. Number of training set size |
n_iter |
Times of iteration. (default = 30) |
multi.threads |
Default: TRUE |
Value
A vector of r-scores of each iteration
Examples
data(geno) ## Not run: nt2r(geno, 50)
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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