rebmix (version 2.16.0)

chunk-methods: Extracts Chunk from Train and Test Datasets

Description

Returns (invisibly) the object containing train and test observations \(\bm{x}_{1}, \ldots, \bm{x}_{n}\) as well as true class membership \(\bm{\Omega}_{g}\) for the test dataset. Vectors \(\bm{x}\) are subvectors of \(\bm{y} = (y_{1}, \ldots, y_{d})^{\top}\).

Usage

# S4 method for RCLS.chunk
chunk(x = NULL, variables = expression(1:d))
## ... and for other signatures

Value

Returns an object of class RCLS.chunk.

Arguments

x

see Methods section below.

variables

a vector containing indices of variables in subvectors \(\bm{x}\). The default value is 1:d.

Methods

signature(x = "RCLS.chunk")

an object of class RCLS.chunk.

Author

Marko Nagode

Examples

data(iris)

# Split dataset into train (75%) and test (25%) subsets.

set.seed(5)

Iris <- split(p = 0.75, Dataset = iris, class = 5)

# Extract chunk from train and test datasets.

Iris14 <- chunk(x = Iris, variables = c(1,4))

Iris14