diabetes: Diabetes data

In fsdaR: Robust Data Analysis Through Monitoring and Dynamic Visualization

Diabetes data

Description

The diabetes dataset, introduced by Reaven and Miller (1979), consists of 145 observations (patients). For each patient three measurements are reported: plasma glucose response to oral glucose, plasma insulin response to oral glucose, degree of insulin resistance.

Usage

    data("diabetes")

Format

A data frame with the following variables:

glucose

Area under plasma glucose curve after a three hour oral glucose tolerance test (OGTT).

insulin

Area under plasma insulin curve after a three hour oral glucose tolerance test (OGTT).

sspg

Steady state plasma glucose.

class

The type of diabete: Normal, Overt, and Chemical.

Source

Reaven, G. M. and Miller, R. G. (1979). An attempt to define the nature of chemical diabetes using a multidimensional analysis. Diabetologia 16:17-24.

Examples

library(rrcov)
data(diabetes)
head(diabetes)
plot(CovMcd(diabetes[, 1:3]), which="pairs", col=diabetes$class)

fsdaR documentation built on March 31, 2023, 8:18 p.m.