thin_functional_data

Takes a dense functional dataset in long form and thins it so that there are 100 observations per
subject, equally spaced.

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

thin_functional_data function

<dl><dt>Y</dt>
<dd>functional dataframe</dd>
<dt>length_out</dt>
<dd>number of points per subject for dataframe that is returned</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>

Author

Thin functional data — thin_functional_data

<dl>

<dt>Y</dt>
<dd>functional dataframe</dd>


<dt>length_out</dt>
<dd>number of points per subject for dataframe that is returned</dd>

</dl>

Julia Wrobel <a href='mailto:julia.wrobel@cuanschutz.edu'>julia.wrobel@cuanschutz.edu</a>

thin_functional_data: Thin functional data

Description

Usage

Arguments

Author