sim_base_data: Simulate a dataset of n individuals into N groups

In bsaul/interferenceSim: interference Simulations

Description

This is currently not very useful except to simulate a dataset like in Step 0 of Perez et al's simulation from which potential outcomes will be generated.

Usage

sim_base_data(N.groups, n.units, X1.distr = "rexp", X1.args = list(rate =
  1/20), ind.dist.distr = "rnorm", ind.dist.args = list(mean = 0, sd =
  0.05), grp.dist.distr = "rlnorm", grp.dist.args = list(meanlog = 0, sdlog
  = 0.75))

Arguments

N.groups	the number of groups
n.units	the number of subjects (total)
X1.distr	distribution function of X1 variable. Defaults to rexp
X1.args	arguments passed to X1.distr function. In Perez et al, X1 represents an individual's age in decades generated from an exponential distribution with mean 20
ind.dist.distr	distribution function of individual distances. Defaults to rnorm
ind.dist.args	arguments passed to ind.dist.distr function
grp.dist.distr	distribution function of group level distances. Defaults to rlnorm.
grp.dist.args	arguments passed to grp.dist.distr function

Value

a data frame

bsaul/interferenceSim documentation built on May 13, 2019, 8:12 a.m.