bst (version 0.3-24)

ex1data: Generating Three-class Data with 50 Predictors

Description

Randomly generate data for a three-class model.

Usage

ex1data(n.data, p=50)

Value

A list with n.data by p predictor matrix x, three-class response y and conditional probabilities.

Arguments

n.data

number of data samples.

p

number of predictors.

Author

Zhu Wang

Details

The data is generated based on Example 1 described in Wang (2012).

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

if (FALSE) {
dat <- ex1data(100, p=5)
mhingebst(x=dat$x, y=dat$y)
}