CirDisp

Called by <code>segmentation</code>.

internal

Segmentation and classification procedures for data from the 'Activinsights GENEActiv' <https://activinsights.com/technology/geneactiv/> accelerometer that provides the user with a model to guess behaviour from test data where behaviour is missing.
Includes a step counting algorithm, a function to create segmented data with custom features and a function to use recursive partitioning provided in the function rpart() of the 'rpart' package to create classification models.

Charles Sweetland

GENEAclassify

Segmentation and Classification of Accelerometer Data

Chris Campbell

Aimee Gott

Joss Langford

Activinsights Ltd 

CirDisp function

<dl><dt>na.rm</dt>
<dd>single logical should missing values be removed</dd>
<dt>x</dt>
<dd>vector of numeric values</dd></dl>

Arguments

CirDisp function — CirDisp

<dl>

<dt>na.rm</dt>
<dd>single logical should missing values be removed</dd>


<dt>x</dt>
<dd>vector of numeric values</dd>

</dl>

CirDisp: CirDisp function

Description

Usage

Value

Arguments

Examples