fev {mplot} | R Documentation |
Forced Expiratory Volume
Description
This data set consists of 654 observations on youths aged 3 to 19 from East Boston recorded duing the middle to late 1970's. Forced expiratory volume (FEV), a measure of lung capacity, is the variable of interest. Age and height are two continuous predictors. Sex and smoke are two categorical predictors.
Usage
data(fev)
Format
A data frame with 654 observations on 5 variables.
- age
Age (years)
- fev
Forced expiratory volume (liters). Roughly the amount of air an individual can exhale in the first second of a forceful breath.
- height
Height (inches).
- sex
Female is 0. Male is 1.
- smoke
A binary variable indicating whether or not the youth smokes. Nonsmoker is 0. Smoker is 1.
Details
Copies of this data set can also be found in the
coneproj
and tmle
packages.
References
Tager, I. B., Weiss, S. T., Rosner, B., and Speizer, F. E. (1979). Effect of parental cigarette smoking on pulmonary function in children. American Journal of Epidemiology, 110, 15-26.
Rosner, B. (1999). Fundamentals of Biostatistics, 5th Ed., Pacific Grove, CA: Duxbury.
Kahn, M.J. (2005). An Exhalent Problem for Teaching Statistics. Journal of Statistics Education, 13(2). http://www.amstat.org/publications/jse/v13n2/datasets.kahn.html
Examples
data(fev)
full.mod = lm(fev~.,data=fev)
step(full.mod)