cars_binary: Cars Binary Dataset

Description

This dataset contains data on car crash fatalities after transforming the original categorical variables of the dataset cars_original into binary variables. Details about such transformations are available in Davila-Pena et al. (2024). (Section 6.1, Table 5).

Usage

data(cars_binary)

Arguments

Format

A dataframe with 17565 rows (representing individuals) and 12 columns, one corresponding to the index number (first column, X), one to the binary response (last column, deceased), and the remaining 10 representing the following binary features:

dvcat: Binary variable indicating whether the vehicle, at the moment of the accident, was traveling at a speed higher than 55 km/h (1) or not (0).
airbag: Binary variable indicating whether the vehicle had an airbag system (1) or not (0).
seatbelt: Binary variable indicating whether the person involved was wearing a seat belt (1) or not (0).
frontal: Binary variable indicating whether the vehicle crash was frontal (1) or nonfrontal (0).
sex: Binary variable indicating the sex of the person involved: 1 for male and 0 for female.
abcat: Binary variable indicating airbag activation: 1 if one or more airbags in the vehicle were activated (even if not deployed) and 0 if none were deployed (either due to malfunction or being disabled).
occRole: Binary variable indicating whether the person involved was the driver (1) or a passenger (0) of the vehicle.
deploy: Binary variable indicating whether the airbag functioned correctly (1) or was unavailable or not functioning (0).
ageOFocc: Binary variable indicating whether the person was 30 years old or less (1) or over 30 years old (0).
age: Binary variable indicating whether the vehicle was 10 years old or more (1) or less than 10 years old (0).

Examples

Run this code

data(cars_binary)
head(cars_binary)

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