raw_to_collapse

A partially-processed primary accelerometer dataset ready to be collapsed
from raw samples to one-second summaries.

datasets

Facilitates development and application of two-regression
algorithms for research-grade wearable devices. It provides an easy
way for users to access previously-developed algorithms, and also to
develop their own. Initial motivation came from Hibbing PR, LaMunion SR,
Kaplan AS, & Crouter SE (2018) <doi:10.1249/MSS.0000000000001532>.
However, other algorithms are now supported. Please see the associated
references in the package documentation for full details of the algorithms
that are supported.

Paul Hibbins

TwoRegression

Develop and Apply Two-Regression Algorithms

raw_to_collapse function

A data frame with 24000 rows and 3 variables:<dl>
 <dt>Accelerometer X</dt>
<dd>Primary accelerometer x-axis data, in G</dd> <dt>Accelerometer Y</dt>
<dd>Primary accelerometer y-axis data, in G</dd> <dt>Accelerometer Z</dt>
<dd>Primary accelerometer z-axis data, in G</dd>
</dl>

Format

Primary accelerometer data to collapse — raw_to_collapse

A data frame with 24000 rows and 3 variables:<dl>
 <dt>Accelerometer X</dt>
<dd>Primary accelerometer x-axis data, in G</dd>

 <dt>Accelerometer Y</dt>
<dd>Primary accelerometer y-axis data, in G</dd>

 <dt>Accelerometer Z</dt>
<dd>Primary accelerometer z-axis data, in G</dd>


</dl>

raw_to_collapse: Primary accelerometer data to collapse

Description

Usage

Arguments

Format