The data come from a survey of workers in the US cotton industry and record whether they were suffering from the lung disease byssinosis as well as the values of five explanatory variables: the race, sex and smoking status of the worker, the length of employment, and the dustiness of the workplace.
A data frame with 65 rows and 8 columns:
[,1] | Yes | numeric | Number of workers in this category with byssinosis |
[,2] | No | numeric | Number of workers in this category without byssinosis |
[,3] | Dust | factor | 1 (high), 2 (medium) or 3 (low) |
[,4] | Race | factor | 1 (white) or 2 (other) |
[,5] | Sex | factor | 1 (male) or 2 (female) |
[,6] | Smoking | factor | 1 (smoker) or 2 (non-smoker) |
[,7] | Emp.length | factor | 1 (< 10 years), 2 (10-20 years) or 3 (> 20 years) |
[,8] | n | numeric | number of workers in this category, i.e. Yes+No |
Handbook of small datasets (originally in Higgins and Koch (1977), International Statistical Review, volume 45, pages 51-62.
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