tf_jiggle

tf_sparsify

Randomly create some irregular functional data from regular ones.
jiggle it by randomly moving around its <code>arg</code>-values. Only for <code>tfd</code>.
sparsify it by setting (100*<code>dropout</code>)% of its values to <code>NA</code>.

Defines S3 vector data types for vectors of functional data
(grid-based, spline-based or functional principal components-based) with all
arithmetic and summary methods, derivation, integration and smoothing,
plotting, data import and export, and data wrangling, such as re-evaluating,
subsetting, sub-assigning, zooming into sub-domains, or extracting functional
features like minima/maxima and their locations.
The implementation allows including such vectors in data frames for joint
analysis of functional and scalar variables.

Fabian Scheipl

S3 Classes and Methods for Tidy Functional Data

Jeff Goldsmith

Julia Wrobel

Maximilian Muecke

Sebastian Fischer

Trevor Hastie

Rahul Mazumder

Chen Meng

tf_jiggle function

<dl><dt>f</dt>
<dd>a <code>tfd</code> object</dd>
<dt>amount</dt>
<dd>how far away from original grid points can the new grid points
lie, at most (relative to original distance to neighboring grid points).
Defaults to at most 40% (0.4) of the original grid distances. Must be lower
than 0.5</dd>
<dt>...</dt>
<dd>additional args for the returned <code>tfd</code> in <code>tf_jiggle</code></dd>
<dt>dropout</dt>
<dd>how many values of <code>f</code> to drop, defaults to 50%.</dd></dl>

Arguments

Make a tf (more) irregular — tf_jiggle

<dl>

<dt>f</dt>
<dd>a <code>tfd</code> object</dd>


<dt>amount</dt>
<dd>how far away from original grid points can the new grid points
lie, at most (relative to original distance to neighboring grid points).
Defaults to at most 40% (0.4) of the original grid distances. Must be lower
than 0.5</dd>


<dt>...</dt>
<dd>additional args for the returned <code>tfd</code> in <code>tf_jiggle</code></dd>


<dt>dropout</dt>
<dd>how many values of <code>f</code> to drop, defaults to 50%.</dd>

</dl>

tf_jiggle: Make a `tf` (more) irregular

Description

Usage

Value

Arguments

See Also