smooth_2rm

Smooth two-regression estimates over specified periods

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

smooth_2rm function

<dl><dt>AG</dt>
<dd>data frame of ActiGraph data</dd>
<dt>time_var</dt>
<dd>character scalar. Name of the timestamp variable (required to
verify that input epoch length is 10 seconds)</dd>
<dt>unit</dt>
<dd>the interval to use for smoothing (see
<code><a href="https://lubridate.tidyverse.org/reference/round_date.html">floor_date</a></code>). Default is <code>"60 sec"</code></dd>
<dt>verbose</dt>
<dd>logical. Print updates to console?</dd>
<dt>...</dt>
<dd>currently unused</dd></dl>

Arguments

Smooth two-regression estimates over specified periods — smooth_2rm

<dl>

<dt>AG</dt>
<dd>data frame of ActiGraph data</dd>


<dt>time_var</dt>
<dd>character scalar. Name of the timestamp variable (required to
verify that input epoch length is 10 seconds)</dd>


<dt>unit</dt>
<dd>the interval to use for smoothing (see
<code><a href='https://lubridate.tidyverse.org/reference/round_date.html'>floor_date</a></code>). Default is <code>"60 sec"</code></dd>


<dt>verbose</dt>
<dd>logical. Print updates to console?</dd>


<dt>...</dt>
<dd>currently unused</dd>

</dl>

smooth_2rm: Smooth two-regression estimates over specified periods

Description

Usage

Value

Arguments

Examples