simulate_phenotype: Simulate phenotypes correlated to labels pivoted into two...
In cbg-ethz/netprioR: A model for network-based prioritisation of genes
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Simulate phenotypes correlated to labels pivoted into two groups
Usage
1
simulate_phenotype(labels.true, meandiff, sd)
Arguments
labels.true
Vector of labels
meandiff
difference of means between positive and negative groups
sd
Standard deviation of the phenotype
Value
Simulated phenotype
Author(s)
Fabian Schmich
Examples
1
2
data(simulation)
phenotypes <- simulate_phenotype(labels.true = simulation$labels.true, meandiff = 0.5, sd = 1)
cbg-ethz/netprioR documentation built on May 13, 2019, 2:02 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
Simulate phenotypes correlated to labels pivoted into two groups
Usage
1 | simulate_phenotype(labels.true, meandiff, sd)
|
Arguments
labels.true |
Vector of labels |
meandiff |
difference of means between positive and negative groups |
sd |
Standard deviation of the phenotype |
Value
Simulated phenotype
Author(s)
Fabian Schmich
Examples
1 2 | data(simulation)
phenotypes <- simulate_phenotype(labels.true = simulation$labels.true, meandiff = 0.5, sd = 1)
|
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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