simulateGeneData: Generate simulated gene expresion data
In dalejbarr/RR53: Reanalysis of "A functional genomic perspective on well-being"
Description
Usage
Arguments
Value
See Also
Description
Simply wraps a call to mvrnorm in package MASS. If indep is TRUE, zeroes out all of the covariances in the matrix.
Usage
1
simulateGeneData(n, gmeans, gvcov, indep = FALSE)
Arguments
n
Number of rows (subjects) of data to generate
gmeans
Mean expression for each gene
gvcov
indep
whether to generate dependent (default=FALSE) or independent (TRUE) data.
Value
A dataframe with SID (subject ID), Gene and Value as columns.
See Also
dalejbarr/RR53 documentation built on May 14, 2019, 3:30 p.m.
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Description Usage Arguments Value See Also
Description
Simply wraps a call to mvrnorm in package MASS. If indep is TRUE, zeroes out all of the covariances in the matrix.
Usage
1 | simulateGeneData(n, gmeans, gvcov, indep = FALSE)
|
Arguments
n |
Number of rows (subjects) of data to generate |
gmeans |
Mean expression for each gene |
gvcov |
|
indep |
whether to generate dependent (default= |
Value
A dataframe with SID (subject ID), Gene and Value as columns.
See Also
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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