setConfiguration: sets the configuration for the simulations
In weinstockj/gwassim: Simulate GWAS data
Description
Usage
Arguments
Details
Description
sets the configuration for the simulations
Usage
1
setConfiguration(LD, N_BLOCKS, N_MARKERS)
Arguments
LD
can be set as low, medium, or high
N_BLOCKS
is the number of LD blocks generated
N_MARKERS
is the number of SNPs per LD block
Details
These parameters are passed on to setConfiguration_
which creates the list configruation object. By default
one causal SNP is used with an effect size of .01 Rsquared.
The phenotype is assumed to be Gaussian.
This function is intended to provide a simplied interface
to the setConfiguration_ function.
weinstockj/gwassim documentation built on May 4, 2019, 4:18 a.m.
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Description Usage Arguments Details
Description
sets the configuration for the simulations
Usage
1 | setConfiguration(LD, N_BLOCKS, N_MARKERS)
|
Arguments
LD |
can be set as low, medium, or high |
N_BLOCKS |
is the number of LD blocks generated |
N_MARKERS |
is the number of SNPs per LD block |
Details
These parameters are passed on to setConfiguration_ which creates the list configruation object. By default one causal SNP is used with an effect size of .01 Rsquared. The phenotype is assumed to be Gaussian.
This function is intended to provide a simplied interface to the setConfiguration_ function.
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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