MVP.calk: Calculate Kinship matrix by Blocking strategy
In XiaoleiLiuBio/MVP: Memory-Efficient, Visualize-Enhanced, Parallel-Accelerated GWAS Tool
View source: R/MVP.K.VanRaden.r
MVP.calk R Documentation
Calculate Kinship matrix by Blocking strategy
Description
Build date: Apr 14, 2021
Last update: Apr 14, 2021
Usage
MVP.calk(M, step = 1000)
Arguments
M
Genotype, m * n, m is marker size, n is population size
step
Number of markers processed at one time
Value
K, n * n matrix
Examples
genoPath <- system.file("extdata", "06_mvp-impute", "mvp.imp.geno.desc", package = "rMVP")
genotype <- attach.big.matrix(genoPath)
print(dim(genotype))
K <- MVP.calk(genotype)
XiaoleiLiuBio/MVP documentation built on April 11, 2024, 1:20 a.m.
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View source: R/MVP.K.VanRaden.r
| MVP.calk | R Documentation |
Calculate Kinship matrix by Blocking strategy
Description
Build date: Apr 14, 2021 Last update: Apr 14, 2021
Usage
MVP.calk(M, step = 1000)
Arguments
M |
Genotype, m * n, m is marker size, n is population size |
step |
Number of markers processed at one time |
Value
K, n * n matrix
Examples
genoPath <- system.file("extdata", "06_mvp-impute", "mvp.imp.geno.desc", package = "rMVP")
genotype <- attach.big.matrix(genoPath)
print(dim(genotype))
K <- MVP.calk(genotype)
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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