cv_different_algorithms

A dataset containing the coefficient of variation values at different
frequencies for the dataset that includes accelerometer measures of different
devices on a standard elliptical shaker.

datasets

The MIMS-unit algorithm is developed to compute Monitor Independent
Movement Summary Unit, a measurement to summarize raw accelerometer data
while ensuring harmonized results across different devices. It also includes
scripts to reproduce results in the related publication
(John, D., Tang. Q., Albinali, F. and Intille, S. (2019) <doi:10.1123/jmpb.2018-0068>).

Qu Tang

MIMSunit

Algorithm to Compute Monitor Independent Movement Summary Unit
(MIMS-Unit)

Dinesh John

Stephen Intille

mHealth Research Group 

cv_different_algorithms function

A data frame with 30 rows and 3 variables:<dl class="dl-horizontal">
 <dt>TYPE</dt><dd>Accelerometer summary algorithm name, in character</dd>
 <dt>HZ</dt><dd>The frequency of the elliptical shaker, in number</dd>
 <dt>COEFF_OF_VARIATION</dt><dd>The coefficient of variation values, in number</dd>
</dl>

Format

Coefficient of variation values for different acceleration data summary
algorithms — cv_different_algorithms

A data frame with 30 rows and 3 variables:<dl class='dl-horizontal'>
 <dt>TYPE</dt><dd>Accelerometer summary algorithm name, in character</dd>
 <dt>HZ</dt><dd>The frequency of the elliptical shaker, in number</dd>
 <dt>COEFF_OF_VARIATION</dt><dd>The coefficient of variation values, in number</dd>
</dl>

cv_different_algorithms: Coefficient of variation values for different acceleration data summary algorithms

Description

Usage

Arguments

Format