ex1data {bst} | R Documentation |
Generating Three-class Data with 50 Predictors
Description
Randomly generate data for a three-class model.
Usage
ex1data(n.data, p=50)
Arguments
n.data |
number of data samples. |
p |
number of predictors. |
Details
The data is generated based on Example 1 described in Wang (2012).
Value
A list with n.data by p predictor matrix x
, three-class response y
and conditional probabilities.
Author(s)
Zhu Wang
References
Zhu Wang (2012), Multi-class HingeBoost: Method and Application to the Classification of Cancer Types Using Gene Expression Data. Methods of Information in Medicine, 51(2), 162–7.
Examples
## Not run:
dat <- ex1data(100, p=5)
mhingebst(x=dat$x, y=dat$y)
## End(Not run)
[Package bst version 0.3-24 Index]