plot_aggregated_curve

Generates the plot of the aggregated curve based on the functional coefficients and their corresponding weights.
The aggregated curve is computed as:
$$A(x) = \displaystyle \sum_{l=1}^{L} y_l \alpha_l(x)$$

Implements methods for calibrating an aggregated functional data model using
wavelets or splines. Each aggregated curve is modeled as a linear combination of
component functions and known weights. The component functions are estimated using
wavelets or splines. The package is based on dos Santos Sousa (2024) <doi:10.1515/mcma-2023-2016>
and Saraiva and Dias (2009) <doi:10.47749/T/UNICAMP.2009.471073>.

Vitor Perrone

FunctionalCalibration

Aggregated Functional Data Calibration using Splines and
Wavelets

Alex Sousa

plot_aggregated_curve function

<dl><dt>alpha</dt>
<dd>A numeric matrix where each column represents the values of a function $\alpha_l(x)$ evaluated at each point in $x$.</dd>
<dt>weights</dt>
<dd>A numeric vector with the weight values corresponding to each function $\alpha_l(x)$.</dd>
<dt>title</dt>
<dd>A string specifying the title of the plot.</dd>
<dt>x</dt>
<dd>A numeric vector of values at which the function is evaluated. If <code>NULL</code>, the default is the sequence <code>1:nrow(alpha)</code>.</dd></dl>

Arguments

Aggregated Curve Plot — plot_aggregated_curve

<dl>

<dt>alpha</dt>
<dd>A numeric matrix where each column represents the values of a function $\alpha_l(x)$ evaluated at each point in $x$.</dd>


<dt>weights</dt>
<dd>A numeric vector with the weight values corresponding to each function $\alpha_l(x)$.</dd>


<dt>title</dt>
<dd>A string specifying the title of the plot.</dd>


<dt>x</dt>
<dd>A numeric vector of values at which the function is evaluated. If <code>NULL</code>, the default is the sequence <code>1:nrow(alpha)</code>.</dd>

</dl>

plot_aggregated_curve: Aggregated Curve Plot

Description

Usage

Value

Arguments

Examples