plot.kmeans.ct

Plots a continuous-time k-means clustering object generated by a call
to <code>kmeans.ct</code>.

Implements a basis function or functional data analysis framework
for several techniques of multivariate analysis in continuous-time
setting. Specifically, we introduced continuous-time analogues of
several classical techniques of multivariate analysis, such as
principal component analysis, canonical correlation analysis,
Fisher linear discriminant analysis, K-means clustering, and so
on. Details are in Biplab Paul, Philip T. Reiss, Erjia Cui and Noemi Foa (2025)
"Continuous-time multivariate analysis" <doi: 10.1080/10618600.2024.2374570>.

Biplab Paul

ctmva

Continuous-Time Multivariate Analysis

Philip Tzvi Reiss

Noemi Foa

Dror Arbiv

plot.kmeans.ct function

<dl><dt>x</dt>
<dd>clustering object produced by <code>kmeans.ct</code></dd>
<dt>plottype</dt>
<dd>either <code>"functions"</code> (the default), to display each variable
as a smooth function of time, or <code>"distance"</code>, to plot distances from the
k cluster means versus time.</dd>
<dt>mark.transitions</dt>
<dd>logical: Should transitions between clusters be marked
with vertical lines? Defaults to <code>TRUE</code>.</dd>
<dt>col</dt>
<dd>plot colors</dd>
<dt>lty</dt>
<dd>line type</dd>
<dt>xlab, ylab</dt>
<dd>x- and y-axis labels</dd>
<dt>legend</dt>
<dd>either a logical variable (whether a legend should be included) or a character
vector to appear in the legend. Default is <code>TRUE</code>.</dd>
<dt>ncol.legend</dt>
<dd>number of columns for legend</dd>
<dt>cex.legend</dt>
<dd>character expansion factor for legend</dd>
<dt>...</dt>
<dd>other arguments passed to <code><a href="/link/matplot?package=ctmva&version=1.6.0" data-mini-rdoc="ctmva::matplot">matplot</a></code></dd></dl>

Arguments

Philip Tzvi Reiss &lt;reiss@stat.haifa.ac.il&gt; and Biplab Paul &lt;paul.biplab497@gmail.com&gt;

Author

Plot a kmeans.ct object — plot.kmeans.ct

<dl>

<dt>x</dt>
<dd>clustering object produced by <code>kmeans.ct</code></dd>


<dt>plottype</dt>
<dd>either <code>"functions"</code> (the default), to display each variable
as a smooth function of time, or <code>"distance"</code>, to plot distances from the
k cluster means versus time.</dd>


<dt>mark.transitions</dt>
<dd>logical: Should transitions between clusters be marked
with vertical lines? Defaults to <code>TRUE</code>.</dd>


<dt>col</dt>
<dd>plot colors</dd>


<dt>lty</dt>
<dd>line type</dd>


<dt>xlab, ylab</dt>
<dd>x- and y-axis labels</dd>


<dt>legend</dt>
<dd>either a logical variable (whether a legend should be included) or a character
vector to appear in the legend. Default is <code>TRUE</code>.</dd>


<dt>ncol.legend</dt>
<dd>number of columns for legend</dd>


<dt>cex.legend</dt>
<dd>character expansion factor for legend</dd>


<dt>...</dt>
<dd>other arguments passed to <code><a href='https://rdrr.io/r/graphics/matplot.html'>matplot</a></code></dd>

</dl>

plot.kmeans.ct: Plot a kmeans.ct object

Description

Usage

Value

Arguments

Author

See Also