subgroup: Random Grouping II

In ShanLu92/FeaAug: SVM with Feature Augmentation

Description

Random grouping function for index of train set’s row to divide into 2 groups.

Usage

subgroup(training, yname, levels)

Arguments

training	a train set that needs to be grouped by row.
yname	the name of result-column.
levels	results in result-column.

Details

Randomly split train set into two mutually exclusive parts. Classify the first part based on levels of yname.

Value

The value returned is a list of 3 sets. The first set X1_0 and second set X1_1 are samples of two different levels in the first part of train set respectively. The third set X2 is the second part of train set.

Source

For sample, based on

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.

Ripley, B. D. (1987) Stochastic Simulation. Wiley.

Examples

intest = subnum(rawdata, k=10)[[1]]
test = rawdata[intest,]
training = rawdata[-intest,]
groups = subgroup(training, 'class', c('attack', 'normal'))

ShanLu92/FeaAug documentation built on Jan. 31, 2021, 7:21 p.m.