pima {reglogit} | R Documentation |
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