GENEAskew

Many datasets do not have the highest density 
of measurements in the middle of the distribution of the data.
Skewness is a measure of the asymmetry of a probability distribution.

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.

Jia Ying Chua

GENEAclassify

Segmentation and Classification of Accelerometer Data

Chris Campbell

Aimee Gott

Joss Langford

Charles Sweetland

Penny Sweetland

Activinsights Ltd 

GENEAskew function

<dl><dt>x</dt>
<dd>numeric vector</dd>
<dt>na.rm</dt>
<dd>single logical should missing values be removed</dd>
<dt>...</dt>
<dd>other arguments to be swallowed</dd></dl>

Arguments

Skewness, a measure of centredness — GENEAskew

<dl>

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


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


<dt>...</dt>
<dd>other arguments to be swallowed</dd>

</dl>

GENEAskew: Skewness, a measure of centredness

Description

Usage

Value

Arguments

Examples