pima | R Documentation |
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
.
data(pima)
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
).
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.
head(pima)
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