plot.lda.ct

Plots the Fisher's linear discriminant functions generated by a call
to <code>lda.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.lda.ct function

<dl><dt>x</dt>
<dd>linear discriminant analysis object produced by <code>lda.ct</code></dd>
<dt>ylab, xlab</dt>
<dd>y- and x-axis labels</dd>
<dt>which</dt>
<dd>which of the linear discrminants to plot</dd>
<dt>col</dt>
<dd>color vector</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

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

Author

Plot an lda.ct object — plot.lda.ct

<dl>

<dt>x</dt>
<dd>linear discriminant analysis object produced by <code>lda.ct</code></dd>


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


<dt>which</dt>
<dd>which of the linear discrminants to plot</dd>


<dt>col</dt>
<dd>color vector</dd>


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

</dl>

plot.lda.ct: Plot an lda.ct object

Description

Usage

Value

Arguments

Author

See Also

Examples