simdata: simdata

In andriizakharov/DDMtree: Drift-diffusion model selection with the help of decision trees

Description

Simulate some data to test the tree on. The resulting dataframe will have multiple factorial predictors (1/0), named "pred1", "pred2", ... and a continuous outcome variable named "out".

Usage

simdata(n_obs, n_vars, predictors = "factor", output = "cont")

Arguments

n_obs	number of observations, i.e. number of rows in the dataframe
n_vars	number of variables, i.e. total number of columns in the dataframe (including the outcome!)
predictors	predictor type ("factor" by default) – TO BE EXTENDED!
output	output variable type ("cont" by default) – TO BE EXTENDED!

Value

a dataframe with multiple predictors and a single outcome variable

Examples

dat = simdata(n_obs = 500, n_vars = 5)
head(dat)

andriizakharov/DDMtree documentation built on May 21, 2019, 9:19 a.m.