simdata {BayesGWQS}R Documentation

Simulated data of chemical concentrations and one binary outcome variable

Description

Data were simulated to have 0.7 in-group correlation and 0.3 between-group correlation. There are three groups, with the third being significantly correlated to the outcome variable.

Usage

simdata

Format

A data frame with 1000 rows and 15 variables:

pcb_118

a numeric vector; part of group 1

pcb_138

a numeric vector; part of group 1

pcb_153

a numeric vector; part of group 1

pcb_180

a numeric vector; part of group 1

pcb_192

a numeric vector; part of group 1

as

a numeric vector; part of group 2

cu

a numeric vector; part of group 2

pb

a numeric vector; part of group 2

sn

a numeric vector; part of group 2

carbaryl

a numeric vector; part of group 3

propoxur

a numeric vector; part of group 3

methoxychlor

a numeric vector; part of group 3

diazinon

a numeric vector; part of group 3

chlorpyrifos

a numeric vector; part of group 3

Y

a numeric vector; the outcome variable


[Package BayesGWQS version 0.0.2 Index]