byssinosis: Byssinosis in the cotton industry

In SMIR: Companion to Statistical Modelling in R

Description

The dataset contains the number of workers in a survey of the US cotton industry suffering and not suffering from the lung disease byssinosis, together with the values of five cross-classifying categorical explanatory variables: the race, sex and smoking habit of the worker, the length of employment in three categories, and the dustiness of the workplace in three categories.

Usage

data(byssinosis)

Format

A data.frame of 72 obs. of 7 variables:

[,1]	dust	Factor w/ 3 levels "most","less"
[,2]	race	Factor w/ 2 levels "white","non-white"
[,3]	sex	Factor w/ 2 levels "male","female"
[,4]	smok	Factor w/ 2 levels "smoker","non"
[,5]	emp	Factor w/ 3 levels "<10","10-20",...
[,6]	yes	int, Number of workers who suffered byssinosis
[,7]	no	int, Number of workers who did not suffer from byssinosis

Note

See p.255 in SMIR

Source

Higgins, J.E. and Koch, G.G. (1977), "Variable selection and generalized chi-square analysis of categorical data to a large cross-sectional occupational health survey", Int. Statist. Rev., 45, 51–62.

SMIR documentation built on May 29, 2017, 10:39 a.m.