plot_sample

Plots a sample of ids in a small mutiples layout

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 

plot_sample function

<dl><dt>dat</dt>
<dd>A data frame with a few id trajectories to plot.</dd>
<dt>layout</dt>
<dd>The small multiples layout as c(rows, columns).</dd>
<dt>sample</dt>
<dd>If zero, all data in dat are displayed. If &gt;0 a sample of that many data
points from dat are displayed.</dd>
<dt>group</dt>
<dd>If not NULL, a character string giving the variable name in data that should
color the data points.</dd></dl>

Arguments

Plots a sample of ids in a small mutiples layout — plot_sample

<dl>

<dt>dat</dt>
<dd>A data frame with a few id trajectories to plot.</dd>


<dt>layout</dt>
<dd>The small multiples layout as c(rows, columns).</dd>


<dt>sample</dt>
<dd>If zero, all data in dat are displayed. If &gt;0 a sample of that many data
points from dat are displayed.</dd>


<dt>group</dt>
<dd>If not NULL, a character string giving the variable name in data that should
color the data points.</dd>

</dl>

plot_sample: Plots a sample of ids in a small mutiples layout

Description

Usage

Value

Arguments