generateUnrelatedIndividuals: Generates variant data for n unrelated individuals
In sim1000G: Genotype Simulations for Rare or Common Variants Using Haplotypes from 1000 Genomes
Description
Usage
Arguments
Value
Examples
Description
Generates variant data for n unrelated individuals
Usage
1
generateUnrelatedIndividuals(N = 1)
Arguments
N
how many individuals to generate
Value
IDs of the generated individuals
Examples
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library("sim1000G")
examples_dir = system.file("examples", package = "sim1000G")
vcf_file = file.path(examples_dir, "region.vcf.gz")
vcf = readVCF( vcf_file, maxNumberOfVariants = 100 , min_maf = 0.12)
genetic_map_of_region =
system.file("examples",
"chr4-geneticmap.txt",
package = "sim1000G")
readGeneticMapFromFile(genetic_map_of_region)
startSimulation(vcf, totalNumberOfIndividuals = 1200)
ids = generateUnrelatedIndividuals(20)
# See also the documentation on our github page
sim1000G documentation built on June 10, 2019, 1:01 a.m.
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Description Usage Arguments Value Examples
Description
Generates variant data for n unrelated individuals
Usage
1 | generateUnrelatedIndividuals(N = 1)
|
Arguments
N |
how many individuals to generate |
Value
IDs of the generated individuals
Examples
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | library("sim1000G")
examples_dir = system.file("examples", package = "sim1000G")
vcf_file = file.path(examples_dir, "region.vcf.gz")
vcf = readVCF( vcf_file, maxNumberOfVariants = 100 , min_maf = 0.12)
genetic_map_of_region =
system.file("examples",
"chr4-geneticmap.txt",
package = "sim1000G")
readGeneticMapFromFile(genetic_map_of_region)
startSimulation(vcf, totalNumberOfIndividuals = 1200)
ids = generateUnrelatedIndividuals(20)
# See also the documentation on our github page
|
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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