sim.bi.vector: Simulate data
In TULIP: A Toolbox for Linear Discriminant Analysis with Penalties
Description
Usage
Arguments
Details
Value
Author(s)
View source: R/sim.bi.vector.R
Description
Simulate a binary data set with vector predictor.
Usage
1
sim.bi.vector(tesize = 100)
Arguments
tesize
Number of observations in testing data.
Details
The function simulates a data set with p=500. Response are binary.
Value
x
Simulated vector predictor.
testx
Simulated testing vector predictor.
y
Response corresponding to x.
testy
Response corresponding to testx.
Author(s)
Yuqing Pan, Qing Mai, Xin Zhang
TULIP documentation built on Jan. 13, 2021, 3:14 p.m.
R Package Documentation
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Description Usage Arguments Details Value Author(s)
View source: R/sim.bi.vector.R
Description
Simulate a binary data set with vector predictor.
Usage
1 | sim.bi.vector(tesize = 100)
|
Arguments
tesize |
Number of observations in testing data. |
Details
The function simulates a data set with p=500. Response are binary.
Value
x |
Simulated vector predictor. |
testx |
Simulated testing vector predictor. |
y |
Response corresponding to |
testy |
Response corresponding to |
Author(s)
Yuqing Pan, Qing Mai, Xin Zhang
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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