swim: Simulated SWIM Dataset with Binary Response
In catalytic: Tools for Applying Catalytic Priors in Statistical Modeling

swim	R Documentation

Simulated SWIM Dataset with Binary Response

Description

Simulated SWIM Dataset with Binary Response

Usage

data(swim)

Format

A list containing the following elements:

x: A 3211 by 12 matrix of numeric values.
female: Binary variable indicating gender (1 = Female, 0 = Male).
agege35: Binary variable indicating if the individual is aged 35 or older (1 = Age 35 or older, 0 = Younger than 35).
hsdip: Binary variable indicating if the individual has a high school diploma (1 = Has diploma, 0 = No diploma).
nevmar: Binary variable indicating if the individual has never been married (1 = Never married, 0 = Ever married).
divwid: Binary variable indicating if the individual is divorced or widowed (1 = Divorced or widowed, 0 = Otherwise).
numchild: Numerical variable indicating the number of children the individual has.
childlt6: Binary variable indicating if the individual has children under the age of 6 (1 = Has children under 6, 0 = No children under 6).
blknh: Binary variable indicating if the individual is black non-Hispanic (1 = Black Non-Hispanic, 0 = Otherwise).
hisp: Binary variable indicating if the individual is Hispanic (1 = Newly Hispanic, 0 = Otherwise).
earnyrm1: Numerical variable indicating the individual's earnings one year prior to the study (possibly negative earnings or debt).
empyrm1: Binary variable indicating if the individual was employed one year prior to the study (1 = Employed, 0 = Unemployed).
enrol: Binary variable indicating if the individual was enrolled the job hunting training session (1 = Enrolled, 0 = Unenrolled).
y: A 3211 by 1 matrix containing zeros and ones.
empyr1: Binary variable indicating if the individual was employed one year after the start of the study (1 = Employed, 0 = Unemployed).

Note

The dataset used in this study was simulated based on the patterns and results described in "The Saturation Work Initiative Model in San Diego: A Five-Year Follow-up Study". This data is not directly extracted from the book but was generated to emulate a similar structure for research and educational purposes.