genFriedman: genFriedman

In AlanInglis/vividOld: Variable Importance and Variable Interaction Displays

Description

Simulate data from the Friedman benchmark problem 1.

Usage

genFriedman(
  noFeatures = 10,
  noSamples = 100,
  sigma = 1,
  bins = NULL,
  seed = NULL
)

Arguments

noFeatures	Integer specifying the number of features/variables to generate. Default is 10.
noSamples	Integer specifying the number of samples to generate. Default is 100
sigma	Numreic specifying standard deviation of the noise.
bins	Integer specifiying the number of bins to split responce variable into. Setting a value greater than 1 turns this into a classification problem where bins determines the number of classes.
seed	Integer specifying the random seed.

Examples

genFriedman(noFeatures = 10, noSamples = 100, sigma = 1, seed = NULL)

AlanInglis/vividOld documentation built on March 4, 2021, 12:44 a.m.