create_data: Simulate Data

In s3alfisc/wildboottestjlr: Fast Wild Cluster Bootstrap Inference in R via WildBootTests.jl and JuliaConnectoR

Simulate Data

Description

Function simulates data for tests and examples with clustering variables and fixed-effects.

Usage

create_data(N, N_G1, icc1, N_G2, icc2, numb_fe1, numb_fe2, seed, weights)

Arguments

N	number of observations
N_G1	A scalar. number of clusters for clustering variable 1
icc1	A scalar between 0 and 1. intra-cluster correlation for clustering variable 1
N_G2	A scalar. number of clusters for clustering variable 2
icc2	A scalar between 0 and 1. intra-cluster correlation for clustering variable 2
numb_fe1	A scalar. Number of fixed effect for first factor variable
numb_fe2	A scalar. Number of fixed effect for second factor variable
seed	An integer. Set the random seed
weights	Possible regression weights to be used in estimation

Value

A simulated data.frame with specified numbers of clusters, intra-cluster correlations and dimensionality of fixed effects.

s3alfisc/wildboottestjlr documentation built on June 16, 2022, 7:40 a.m.