simu: Simulations of data

In robingenuer/CoVVSURF: Combines clustering of variables with feature selection using random forests

Usage

simu(n = 600, rho = 0.9, sigma = 1, name = "don", threshold = 0.5,
  seed = NULL)

Arguments

n	number of observations
rho	correlation between variables within a group
sigma	standard deviation of the variables in the group of noise
name	name of the data
threshold	to binarize y
seed	optional seed to pass to set.seed

Value

the matrix X of explonatory variables and y the binary variable to predict

robingenuer/CoVVSURF documentation built on May 27, 2019, 11:38 a.m.