dgenSimpleLinear: Data generating process for a simple linear regression

In johnsontr/entmax: Entropty maximizing treatment assignment for sequential experiment designs

Data generating process for a simple linear regression

Description

Data generating process for a simple linear regression

Usage

dgenSimpleLinear(num.obs = 50, intercept = 2, treatment.effect = -4, seed = 1)

Arguments

num.obs	the number of observations to generate in the data set; defaults to 50 observations
intercept	the y-intercept of the linear model; defaults to 2
treatment.effect	the coefficient on the treatment indicator in the linear model; defaults to -4
seed	randomization seed; defaults to 1.

Value

a (num.obs x 2) data frame where column 1 is the dependent variable Y and column 2 is the treatment indicator D

Examples

dgenSimpleLinear(num.obs=50, intercept=2, treatment.effect=-4, seed=1)

johnsontr/entmax documentation built on July 2, 2022, 9:23 p.m.