pima: Pima Indian Data

In reglogit: Simulation-Based Regularized Logistic Regression

Pima Indian Data

Description

A population of women who were at least 21 years old, of Pima Indian heritage and living near Phoenix, Arizona, was tested for diabetes according to World Health Organization criteria. The data were collected by the US National Institute of Diabetes and Digestive and Kidney Diseases.

Usage

data(pima)

Format

A data frame with 768 observations on the following 9 variables.

npreg

number of pregnancies

glu

plasma glucose concentration in an oral glucose tolerance test

bp

diastolic blood pressure (mm Hg)

skin

tricepts skin fold thickness (mm)

serum

2-hour serum insulin (mu U/ml)

bmi

mody mass index (weight in kg/(height in m)^2)

ped

diabetes pedigree function

age

age in years

y

classification label: 1 for diabetic

Source

Smith, J. W., Everhart, J. E., Dickson, W. C., Knowler, W. C. and Johannes, R. S. (1988) Using the ADAP learning algorithm to forecast the onset of diabetes mellitus. In Proceedings of the Symposium on Computer Applications in Medical Care (Washington, 1988), ed. R. A. Greenes, pp. 261-265. Los Alamitos, CA: IEEE Computer Society Press.

Ripley, B.D. (1996) Pattern Recognition and Neural Networks. Cambridge: Cambridge University Press.

UCI Machine Learning Repository
http://archive.ics.uci.edu/ml/datasets/Pima+Indians+Diabetes

Examples

data(pima)
## see reglogit documentation for an example using this data

reglogit documentation built on April 25, 2023, 9:11 a.m.