lungcap: Lung capacity and smoking in youth

In GLMsData: Generalized Linear Model Data Sets

Lung capacity and smoking in youth

Description

The health and smoking habits of 654 youth

Usage

data(lungcap)
data(lungcapsub)

Format

A data frame with 654 observations on the following 5 variables. (The data frame lungcapsub contains the data only for smokers, and hence does not contain the variable Smoke.)

Age

the age of the subject in completed years; a numeric vector

FEV

the forced expiratory volume in litres, a measure of lung capacity; a numeric vector

Ht

the height in inches; a numeric vector

Gender

the gender of the subjects: a numeric vector with females coded as 0 and males as 1

Smoke

the smoking status of the subject: a numeric vector with non-smokers coded as 0 and smokers as 1

Details

The data give information on the health and smoking habits of a sample of 654 youths, aged 3 to 19, in the area of East Boston during middle to late 1970s.

Source

Kahn, Michael (2005) An exhalent problem for teaching statistics. The Journal of Statistical Education, 13(2). Available on-line.

References

Kahn, M. (2003) Data Sleuth, STATS, 37, 24.

Ira B. Tager, Scott T. Weiss, Alvaro Munoz, Bernard Rosner, and Frank E. Speizer (1983) Longitudinal study of the effects of maternal smoking on pulmonary function in children. New England Journal of Medicine, 309(12):699–703.

Examples

data(lungcap)
summary(lungcap)

GLMsData documentation built on Aug. 22, 2022, 9:10 a.m.