data.diag: Square dataset

In fdm2id: Data Mining and R Programming for Beginners

Square dataset

Description

Generate a random dataset shaped like a square divided by a custom function

Usage

data.diag(
  n = 200,
  min = 0,
  max = 1,
  f = function(x) x,
  levels = NULL,
  graph = FALSE,
  seed = NULL
)

Arguments

n	Number of observations in the dataset.
min	Minimum value on each variables.
max	Maximum value on each variables.
f	The function that separates the classes.
levels	Name of each class.
graph	Whether the generated dataset is plotted. FALSE by default, as everywhere else in the package: a generator has to be callable in a loop or a report without piling up graphics devices.
seed	A specified seed for random number generation.

Value

A randomly generated dataset.

See Also

data.parabol, data.target1, data.target2, data.twomoons, data.xor

Examples

data.diag (graph = TRUE)

fdm2id documentation built on Aug. 28, 2026, 9:07 a.m.