fat_data: Randomly generated data to simulate child fat percentage...

In tystan/deltacomp: Functions to Analyse Compositional Data and Produce Confidence Intervals for Relative Increases and Decreases in the Compositional Components

Randomly generated data to simulate child fat percentage regressed on time-use compositional data

Description

A dataset containing fat percentage (outcome), time-use compositions (sl,sb,lpa,mvpa), and covariates (sibs,parents,ed). Note sl+sb+lpa+mvpa=1440 minutes for each subject. The variables are as follows:

Usage

data(fat_data)

Format

A data frame with 100 rows and 8 variables

Details

• fat. child fat percentage (11.29–29.99)

• sl. daily sleep in minutes (283–765)

• sb. sedentary behaviour in minutes (354–789)

• lpa. low-intensity physical activity in minutes (157–507)

• mvpa. moderate- to vigorous-intensity physical activity in minutes (35–155)

• sibs. number of siblings (0,1,2,3,4)

• parents. number of parents/caregivers at home (1,2)

• ed. education level of parent(s) (0=high school, 1=diploma, 2=degree)

tystan/deltacomp documentation built on Oct. 26, 2022, 7:24 a.m.