R: Pima Indians Diabetes Data

pima {pdp} | R Documentation

## Pima Indians Diabetes Data

### Description

Diabetes test results collected by the the US National Institute of Diabetes and Digestive and Kidney Diseases from a population of women who were at least 21 years old, of Pima Indian heritage, and living near Phoenix, Arizona. The data were taken directly from `PimaIndiansDiabetes2`.

### Usage

    data(pima)

### Format

A data frame with 768 observations on 9 variables.

- `pregnant` Number of times pregnant.

- `glucose` Plasma glucose concentration (glucose tolerance test).

- `pressure` Diastolic blood pressure (mm Hg).

- `triceps` Triceps skin fold thickness (mm).

- `insulin` 2-Hour serum insulin (mu U/ml).

- `mass` Body mass index (weight in kg/(height in m)^2).

- `pedigree` Diabetes pedigree function.

- `age` Age (years).

- `diabetes` Factor indicating the diabetes test result (`neg`/`pos`).

### References

Newman, D.J. & Hettich, S. & Blake, C.L. & Merz, C.J. (1998). UCI Repository of machine learning databases [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, Department of Information and Computer Science.

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

Grace Whaba, Chong Gu, Yuedong Wang, and Richard Chappell (1995), Soft Classification a.k.a. Risk Estimation via Penalized Log Likelihood and Smoothing Spline Analysis of Variance, in D. H. Wolpert (1995), The Mathematics of Generalization, 331-359, Addison-Wesley, Reading, MA.

Friedrich Leisch & Evgenia Dimitriadou (2010). mlbench: Machine Learning Benchmark Problems. R package version 2.1-1.

### Examples

    head(pima)

[Package pdp version 0.7.0 Index]