fdm2id (version 0.9.5)

splitdata: Splits a dataset into training set and test set

Description

This function splits a dataset into training set and test set. Return an object of class dataset-class.

Usage

splitdata(dataset, target, size = round(0.7 * nrow(dataset)), seed = NULL)

Arguments

dataset

The dataset to be split (data.frame or matrix).

target

The column index of the target variable (class label or response variable).

size

The size of the training set (as an integer value).

seed

A specified seed for random number generation.

Value

An object of class dataset-class.

See Also

dataset-class

Examples

# NOT RUN {
require (datasets)
data (iris)
d = splitdata (iris, 5)
str (d)
# }