diabetes: Diabetes Data (flawed)

In mclust: Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation

Diabetes Data (flawed)

Description

The data set contains three measurements made on 145 non-obese adult patients classified into three groups.

Usage

data(diabetes)

Format

A data frame with the following variables:

class

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

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.

Details

This dataset is flawed (compare with the reference) and it is provided here only for backward compatibility. A 5-variable version of the Reaven and Miller data is available in package rrcov. The glucose and sspg columns in this dataset are identical to the fpg and insulin columns, respectively in the rrcov version. The insulin column in this dataset differs from the glucose column in the rrcov version in one entry: observation 104 has the value 45 in the insulin column in this data, and 455 in the corresponding glucose column of the rrcov version.

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.

mclust documentation built on May 29, 2024, 8:06 a.m.