plot_shiny.fpca

Produces an interactive plot illustrating a functional principal component
analysis.

Produces Shiny applications for different types of popular functional data analyses. The functional data analyses are implemented in the refund package, then refund.shiny reads in the refund object and implements an object-specific set of plots based on the object class using S3.

Julia Wrobel

refund.shiny

Interactive Plotting for Functional Data Analyses

Jeff Goldsmith

plot_shiny.fpca function

<dl><dt>obj</dt>
<dd>fpca object to be plotted.</dd>
<dt>xlab</dt>
<dd>x axis label</dd>
<dt>ylab</dt>
<dd>y axis label</dd>
<dt>title</dt>
<dd>plot title</dd>
<dt>thin_data</dt>
<dd>If TRUE data is thinned for each subject to make plotting faster. Defaults to FALSE.</dd>
<dt>...</dt>
<dd>additional arguments passed to plotting functions</dd></dl>

Arguments

Julia Wrobel <a href="/link/julia.wrobel%40cuanschutz.edu?package=refund.shiny&version=1.0" data-mini-rdoc="refund.shiny::julia.wrobel@cuanschutz.edu">julia.wrobel@cuanschutz.edu</a>,
Jeff Goldsmith <a href="/link/jeff.goldsmith%40columbia.edu?package=refund.shiny&version=1.0" data-mini-rdoc="refund.shiny::jeff.goldsmith@columbia.edu">jeff.goldsmith@columbia.edu</a>

Author

Interactive Plotting for Functional Principal Component Analysis — plot_shiny.fpca

<dl>

<dt>obj</dt>
<dd>fpca object to be plotted.</dd>


<dt>xlab</dt>
<dd>x axis label</dd>


<dt>ylab</dt>
<dd>y axis label</dd>


<dt>title</dt>
<dd>plot title</dd>


<dt>thin_data</dt>
<dd>If TRUE data is thinned for each subject to make plotting faster. Defaults to FALSE.</dd>


<dt>...</dt>
<dd>additional arguments passed to plotting functions</dd>

</dl>

Julia Wrobel <a href='mailto:julia.wrobel@cuanschutz.edu'>julia.wrobel@cuanschutz.edu</a>,
Jeff Goldsmith <a href='mailto:jeff.goldsmith@columbia.edu'>jeff.goldsmith@columbia.edu</a>

plot_shiny.fpca: Interactive Plotting for Functional Principal Component Analysis

Description

Usage

Value

Arguments

Author

See Also