Description Usage Format Details Source References Examples
A data frame with 768 observations on 9 variables.
1 2 |
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.
1 2 3 4 5 |
pregnant glucose pressure triceps
Min. : 0.000 Min. : 0.0 Min. : 0.00 Min. : 0.00
1st Qu.: 1.000 1st Qu.: 99.0 1st Qu.: 62.00 1st Qu.: 0.00
Median : 3.000 Median :117.0 Median : 72.00 Median :23.00
Mean : 3.845 Mean :120.9 Mean : 69.11 Mean :20.54
3rd Qu.: 6.000 3rd Qu.:140.2 3rd Qu.: 80.00 3rd Qu.:32.00
Max. :17.000 Max. :199.0 Max. :122.00 Max. :99.00
insulin mass pedigree age diabetes
Min. : 0.0 Min. : 0.00 Min. :0.0780 Min. :21.00 neg:500
1st Qu.: 0.0 1st Qu.:27.30 1st Qu.:0.2437 1st Qu.:24.00 pos:268
Median : 30.5 Median :32.00 Median :0.3725 Median :29.00
Mean : 79.8 Mean :31.99 Mean :0.4719 Mean :33.24
3rd Qu.:127.2 3rd Qu.:36.60 3rd Qu.:0.6262 3rd Qu.:41.00
Max. :846.0 Max. :67.10 Max. :2.4200 Max. :81.00
pregnant glucose pressure triceps
Min. : 0.000 Min. : 44.0 Min. : 24.00 Min. : 7.00
1st Qu.: 1.000 1st Qu.: 99.0 1st Qu.: 64.00 1st Qu.:22.00
Median : 3.000 Median :117.0 Median : 72.00 Median :29.00
Mean : 3.845 Mean :121.7 Mean : 72.41 Mean :29.15
3rd Qu.: 6.000 3rd Qu.:141.0 3rd Qu.: 80.00 3rd Qu.:36.00
Max. :17.000 Max. :199.0 Max. :122.00 Max. :99.00
NA's :5 NA's :35 NA's :227
insulin mass pedigree age diabetes
Min. : 14.00 Min. :18.20 Min. :0.0780 Min. :21.00 neg:500
1st Qu.: 76.25 1st Qu.:27.50 1st Qu.:0.2437 1st Qu.:24.00 pos:268
Median :125.00 Median :32.30 Median :0.3725 Median :29.00
Mean :155.55 Mean :32.46 Mean :0.4719 Mean :33.24
3rd Qu.:190.00 3rd Qu.:36.60 3rd Qu.:0.6262 3rd Qu.:41.00
Max. :846.00 Max. :67.10 Max. :2.4200 Max. :81.00
NA's :374 NA's :11
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