example_activity_data

A list of two <code>data.frames</code> containing the counts and the weartime
for 50 NHANES subjects

datasets

Circadian rhythms are rhythms that oscillate about every 24 h, which has been observed in multiple physiological processes including core body temperature, hormone secretion, heart rate, blood pressure, and many others. Measuring circadian rhythm with wearables is based on a principle that there is increased movement during wake periods and reduced movement during sleep periods, and has been shown to be reliable and valid. This package can be used to extract nonparametric circadian metrics like intradaily variability (IV), interdaily stability (IS), and relative amplitude (RA); and parametric cosinor model and extended cosinor model coefficient. Details can be found in Junrui Di et al (2019) <doi:10.1007/s12561-019-09236-4>.

Junrui Di

ActCR

Extract Circadian Rhythms Metrics from Actigraphy Data

Vadim zipunnikov

Vincent van Hees

example_activity_data function

A list of two <code>data.frame</code>s with 1442 columns, which are in the following order:<dl class="dl-horizontal">
<dt>ID</dt><dd>identifier of the person.</dd>
<dt>Day</dt><dd><code>numeric</code> sequence 1,2,.. indicating the order of days within a subject.</dd>
<dt>MIN1-MIN1440</dt><dd>counts of activity of that specific minute.</dd>
</dl>

Format

Activity/Wear Data from 50 Subjects from NHANES 2003 - 2006 — example_activity_data

A list of two <code>data.frame</code>s with 1442 columns, which are in the following order:<dl class='dl-horizontal'>
<dt>ID</dt><dd>identifier of the person.</dd>
<dt>Day</dt><dd><code>numeric</code> sequence 1,2,.. indicating the order of days within a subject.</dd>
<dt>MIN1-MIN1440</dt><dd>counts of activity of that specific minute.</dd>
</dl>

example_activity_data: Activity/Wear Data from 50 Subjects from NHANES 2003 - 2006

Description

Usage

Arguments

Format