deltime

deltimeT

Clusters longitudinal trajectories over time (can be unequally
spaced, unequal length time series and/or partially overlapping series) on
a common time axis. Performs k-means clustering on a single continuous
variable measured over time, where each mean is defined by a thin plate
spline fit to all points in a cluster. Distance is MSE across trajectory
points to cluster spline. Provides graphs of derived cluster splines,
silhouette plots, and Adjusted Rand Index evaluations of the number
of clusters. Scales well to large data with multicore parallelism available
to speed computation.

George Ostrouchov

clustra

Clustering Longitudinal Trajectories

David Gagnon

Hanna Gerlovin

Chen Wei-Chen

Schmidt Drew

Oak Ridge National Laboratory 

U.S. Department of Veteran's Affairs 

deltime function

<dl><dt>ltime</dt>
<dd>Result of last call to deltime.</dd>
<dt>text</dt>
<dd>Text to display along with elapsed time since <code>ltime</code>.</dd>
<dt>units</dt>
<dd>Logical. If TRUE, print units</dd>
<dt>nl</dt>
<dd>Logical. If TRUE, a newline is added at the end.</dd></dl>

Arguments

<ul>
<li><code>deltimeT()</code>: A shortcut frequent use. Requires ltime and text
parameters, includes units, and adds a newline after message.</li>
</ul>

Functions

Timing function — deltime

<dl>

<dt>ltime</dt>
<dd>Result of last call to deltime.</dd>


<dt>text</dt>
<dd>Text to display along with elapsed time since <code>ltime</code>.</dd>


<dt>units</dt>
<dd>Logical. If TRUE, print units</dd>


<dt>nl</dt>
<dd>Logical. If TRUE, a newline is added at the end.</dd>

</dl>

Timing function

deltime: Timing function

Description

Usage

Value

Arguments

Functions