diabetes: A Simulated Diabetes Dataset

In MonotonicityTest: Nonparametric Bootstrap Test for Regression Monotonicity

A Simulated Diabetes Dataset

Description

This dataset contains simulated medical measurements for Diabetes and is emulated after data from the Diabetes Prevention Program. Each column represents change in a key metabolic indicators after two years for the placebo group receiving no treatment.

Usage

data("diabetes", package="MonotonicityTest")

Format

A data frame with 1000 rows and 4 variables:

CLDL

Change in low-density lipoprotein (LDL) cholesterol (mg/dL).

GLUCOSE

Change in fasting plasma glucose levels (mg/dL).

TRIG

Change in triglyceride levels (mg/dL).

HBA1C

Change in hemoglobin A1c levels (%).

Examples

data("diabetes", package="MonotonicityTest")
names(diabetes)

MonotonicityTest documentation built on April 3, 2025, 7:32 p.m.