simulate_blocs: Simulate data grouped into different blocks

In klutchnikoff/robustSL: a RObust SINgle linkagE (for clustering)

Description

\Sexpr[results=rd, stage=render]{lifecycle::badge("questioning")}

The function 'simulate_blocs()' allows you to generate data grouped into different blocks. Outliers can be added to the data.

Usage

simulate_blocs(n, M = 2, ratio_card_max = 2, epsilon = 0, trunc_eps = TRUE)

Arguments

n	number of observations
M	number of blocks
ratio_card_max	maximal value of the ratio between the cardinality of the different groups
epsilon	proportion of outliers
trunc_eps	TODO

Value

a data-frame with three cols

* x, y: the realizations of the * clusters:

Examples

df <- simulate_blocs(500)

klutchnikoff/robustSL documentation built on Nov. 16, 2021, 5:33 p.m.