pub fn birthwt() -> Result<DataFrame, PolarsError>Expand description
§Risk Factors Associated with Low Infant Birth Weight
§Description:
The ‘birthwt’ data frame has 189 rows and 10 columns. The data were collected at Baystate Medical Center, Springfield, Mass during 1986.
§Usage:
birthwt
§Format:
This data frame contains the following columns:
- ‘low’ indicator of birth weight less than 2.5 kg.
- ‘age’ mother’s age in years.
- ‘lwt’ mother’s weight in pounds at last menstrual period.
- ‘race’ mother’s race (‘1’ = white, ‘2’ = black, ‘3’ = other).
- ‘smoke’ smoking status during pregnancy.
- ‘ptl’ number of previous premature labours.
- ‘ht’ history of hypertension.
- ‘ui’ presence of uterine irritability.
- ‘ftv’ number of physician visits during the first trimester.
- ‘bwt’ birth weight in grams.
§Source:
Hosmer, D.W. and Lemeshow, S. (1989) Applied Logistic Regression. New York: Wiley
References:
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.
§Examples:
bwt <- with(birthwt, {
race <- factor(race, labels = c("white", "black", "other"))
ptd <- factor(ptl > 0)
ftv <- factor(ftv)
levels(ftv)[-(1:2)] <- "2+"
data.frame(low = factor(low), age, lwt, race, smoke = (smoke > 0),
ptd, ht = (ht > 0), ui = (ui > 0), ftv)
})
options(contrasts = c("contr.treatment", "contr.poly"))
glm(low ~ ., binomial, bwt)