Pima Indians Diabetes Database
A data frame with 768 observations on 9 variables.
data(PimaIndiansDiabetes) data(PimaIndiansDiabetes2)
| 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 | Class variable (test for diabetes) |
The data set PimaIndiansDiabetes2 contains a corrected
version of the original data set. While the UCI repository index
claims that there are no missing values, closer inspection of the data
shows several physical impossibilities, e.g., blood pressure or body
mass index of 0. In PimaIndiansDiabetes2, all zero values of
glucose, pressure, triceps, insulin and
mass have been set to NA, see also Wahba et al (1995)
and Ripley (1996).
Original owners: National Institute of Diabetes and Digestive and Kidney Diseases
Donor of database: Vincent Sigillito (vgs@aplcen.apl.jhu.edu)
These data have been taken from the UCI Repository Of Machine Learning Databases at
and were converted to R format by Friedrich Leisch.
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.
data(PimaIndiansDiabetes) summary(PimaIndiansDiabetes) data(PimaIndiansDiabetes2) summary(PimaIndiansDiabetes2)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.