get_index_mean

Evaluate mean index value over n jittered views.

Projection pursuit is used to find interesting low-dimensional
projections of high-dimensional data by optimizing an index over all
possible projections. The 'spinebil' package contains methods to evaluate
the performance of projection pursuit index functions using tour methods.
A paper describing the methods can be found at <doi:10.1007/s00180-020-00954-8>.

Tina Rashid Jafari

spinebil

Investigating New Projection Pursuit Index Functions

Ursula Laa

Dianne Cook

get_index_mean function

<dl><dt>proj</dt>
<dd>Original projection plane</dd>
<dt>d</dt>
<dd>Data matrix</dd>
<dt>alpha</dt>
<dd>Jitter amount (for jittering angle or points)</dd>
<dt>idx</dt>
<dd>Index function</dd>
<dt>method</dt>
<dd>Select between "jitterAngle" (default) and "jitterPoints"
(otherwise we return original index value)</dd>
<dt>n</dt>
<dd>Number of evaluations entering mean value calculation</dd></dl>

Arguments

Evaluate mean index value over n jittered views. — get_index_mean

<dl>

<dt>proj</dt>
<dd>Original projection plane</dd>


<dt>d</dt>
<dd>Data matrix</dd>


<dt>alpha</dt>
<dd>Jitter amount (for jittering angle or points)</dd>


<dt>idx</dt>
<dd>Index function</dd>


<dt>method</dt>
<dd>Select between "jitterAngle" (default) and "jitterPoints"
(otherwise we return original index value)</dd>


<dt>n</dt>
<dd>Number of evaluations entering mean value calculation</dd>

</dl>

get_index_mean: Evaluate mean index value over n jittered views.

Description

Usage

Value

Arguments