pima: Pima Indians dataset used in the Royston and Sauerbrei (2008)...
In mfp2: Multivariable Fractional Polynomial Models with Extensions
pima R Documentation
Pima Indians dataset used in the Royston and Sauerbrei (2008) book.
Description
The dataset arises from an investigation of potential predictors of
the onset of diabetes in a cohort of 768 female Pima Indians of whom 268
developed diabetes. Missing values were imputed using the ice procedure
for Stata.
Usage
data(pima)
Format
A dataset with 768 observations and 9 variables.
- id
Patient identifier.
- pregnant
Number of times pregnant.
- glucose
Plasma glucose concentration at 2h in an oral glucose tolerance test.
- diastolic
Diastolic blood pressure in mmHg.
- triceps
Triceps skin fold thickness in mm.
- insulin
2-h serum insulin.
- bmi
Body mass index.
- diabetes
Diabetes pedigree function.
- age
Age in years.
- y
Binary outcome variable (diabetes, yes/no).
mfp2 documentation built on Nov. 15, 2023, 1:06 a.m.
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| pima | R Documentation |
Pima Indians dataset used in the Royston and Sauerbrei (2008) book.
Description
The dataset arises from an investigation of potential predictors of the onset of diabetes in a cohort of 768 female Pima Indians of whom 268 developed diabetes. Missing values were imputed using the ice procedure for Stata.
Usage
data(pima)
Format
A dataset with 768 observations and 9 variables.
- id
Patient identifier.
- pregnant
Number of times pregnant.
- glucose
Plasma glucose concentration at 2h in an oral glucose tolerance test.
- diastolic
Diastolic blood pressure in mmHg.
- triceps
Triceps skin fold thickness in mm.
- insulin
2-h serum insulin.
- bmi
Body mass index.
- diabetes
Diabetes pedigree function.
- age
Age in years.
- y
Binary outcome variable (diabetes, yes/no).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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