weighted.meanNA

Weighted arithmetic mean ignoring NAs

internal

A framework for clustering longitudinal datasets in a standardized way.
The package provides an interface to existing R packages for clustering longitudinal univariate trajectories, facilitating reproducible and transparent analyses.
Additionally, standard tools are provided to support cluster analyses, including repeated estimation, model validation, and model assessment.
The interface enables users to compare results between methods, and to implement and evaluate new methods with ease.
The 'akmedoids' package is available from <https://github.com/MAnalytics/akmedoids>.

Niek Den Teuling

latrend

A Framework for Clustering Longitudinal Data

Steffen Pauws

Edwin van den Heuvel

Koninklijke Philips N.V. 

weighted.meanNA function

<dl><dt>x</dt>
<dd>an object containing the values whose weighted mean is to be
 computed.</dd>
<dt>w</dt>
<dd>a numerical vector of weights the same length as <code>x</code> giving
 the weights to use for elements of <code>x</code>.</dd>
<dt>...</dt>
<dd>arguments to be passed to or from methods.</dd></dl>

Arguments

Weighted arithmetic mean ignoring NAs — weighted.meanNA

<dl>

<dt>x</dt>
<dd>an object containing the values whose weighted mean is to be
 computed.</dd>


<dt>w</dt>
<dd>a numerical vector of weights the same length as <code>x</code> giving
 the weights to use for elements of <code>x</code>.</dd>


<dt>...</dt>
<dd>arguments to be passed to or from methods.</dd>

</dl>

weighted.meanNA: Weighted arithmetic mean ignoring NAs

Description

Usage

Arguments