sim_groups: Generate data sets to apply clustering algorithms

In jbkunst/klassets: Tools to simulate data set to teach Statistical Models and ML Algorithms

Generate data sets to apply clustering algorithms

Description

Generate data sets to apply clustering algorithms

Usage

sim_groups(n = 500, groups = 3, props = NULL)

Arguments

n	An integer.
groups	An integer
props	A vector of probabilities with length groups.

Examples

set.seed(123456)

df <- sim_groups()

df

plot(df)

plot(sim_groups(500, 5))

jbkunst/klassets documentation built on Dec. 7, 2022, 9:18 p.m.