center

center.default

center.data.frame

center.matrix

center.dfts

Center data by removing the mean or median. Defining changes allow for
regional centering.

Analyze functional data and its change points. Includes
functionality to store and process data, summarize and validate assumptions,
characterize and perform inference of change points, and provide
visualizations. Data is stored as discretely collected observations without
requiring the selection of basis functions. For more details see chapter 8
of Horvath and Rice (2024) <doi:10.1007/978-3-031-51609-2>. Additional papers
are forthcoming. Focused works are also included in the documentation of
corresponding functions.

Jeremy VanderDoes

fChange

Functional Change Point Detection and Analysis

Gregory Rice

Martin Wendler

center function

<dl><dt>object</dt>
<dd>Object for computation of centering.</dd>
<dt>changes</dt>
<dd>Change points for centering individual sections.</dd>
<dt>type</dt>
<dd>String of <code>mean</code> or <code>median</code> for method of centering.</dd>
<dt>...</dt>
<dd>Parameters that may be fed into other versions of centering.</dd></dl>

Arguments

Generic Centering of Data — center

<dl>

<dt>object</dt>
<dd>Object for computation of centering.</dd>


<dt>changes</dt>
<dd>Change points for centering individual sections.</dd>


<dt>type</dt>
<dd>String of <code>mean</code> or <code>median</code> for method of centering.</dd>


<dt>...</dt>
<dd>Parameters that may be fed into other versions of centering.</dd>

</dl>

center: Generic Centering of Data

Description

Usage

Value

Arguments

See Also

Examples