data.logistic: Disease Outbreak

In ppham27/setsim: Software tool for the visualization of confidence regions in statistical models

Description

This data is concerned with 196 individuals who were interviewed to assess if certain specific symptoms associated with a disease spread by a mosquito were present. The first 98 cases were included in the current data set. The variables are disease status (disease), having the categories, (yes=1, no=0), age (age), socioeconomic status of household with three levels, (upper, middle, lower), and a city sector, having the categories, (sector 1=0 and section 2=1). Note that a socioeconomic status variable is represented by two indicator variables (col3 and col4) : (col3,col4) = (0,0) for upper level, (1,0) for middle level and (0,1) for lower level.

Usage

data(data.logistic)

Format

A data frame with 98 observations on the following 6 variables. Note that the first line contains the names of the variables.

obsnum

a numeric vector

age

a numeric vector

col3

a numeric vector

col4

a numeric vector

sector

a numeric vector

disease

a numeric vector

Details

The goal is to model the odds of disease using age, two numerical indicators of socioeconomic status and a numerical indicator of sector.

Source

Kutner, M. H., Nachtsheim, C. J., Neter, J. and Li, W. (2005) Applied Linear Statistical Models (5th edition). Chicago: Irwin.

Examples

data(data.logistic)
## maybe str(data.logistic) ; plot(data.logistic) ...

ppham27/setsim documentation built on May 25, 2019, 11:25 a.m.