drawLogit: drawLogit
In Mathias-Fuchs/simTestSize: determine optimal test set size for simulation studies
Description
Usage
Arguments
Value
Examples
Description
drawsDataFromLogitModel
Usage
1
drawLogit(effectSize = 1, n = 100, p = 4, indicesTrulyPredictive = 1)
Arguments
effectSize
the mean difference in the truly predictive genes. Default is 0.7.
n
sample size
p
Number of features
indicesTrulyPredictive
the indices of the truly predictive genes.
Value
a dataframe with the following variables:
itemize
Examples
1
drawLogit(n=5, p=2)
Mathias-Fuchs/simTestSize documentation built on May 7, 2019, 3:42 p.m.
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Description Usage Arguments Value Examples
Description
drawsDataFromLogitModel
Usage
1 | drawLogit(effectSize = 1, n = 100, p = 4, indicesTrulyPredictive = 1)
|
Arguments
effectSize |
the mean difference in the truly predictive genes. Default is 0.7. |
n |
sample size |
p |
Number of features |
indicesTrulyPredictive |
the indices of the truly predictive genes. |
Value
a dataframe with the following variables: itemize
Examples
1 | drawLogit(n=5, p=2)
|
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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