pipe_data

Points are drawn from a uniform distribution between -1 and 1,
the pipe structure is generated by rejecting points if they are
not on a circle with radius 1 and thickness t in the last two parameters.

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

pipe_data function

<dl><dt>n</dt>
<dd>number of sample points to generate</dd>
<dt>p</dt>
<dd>sample dimensionality</dd>
<dt>t</dt>
<dd>thickness of circle, default=0.1</dd></dl>

Arguments

Generating a sample of points on a pipe — pipe_data

<dl>

<dt>n</dt>
<dd>number of sample points to generate</dd>


<dt>p</dt>
<dd>sample dimensionality</dd>


<dt>t</dt>
<dd>thickness of circle, default=0.1</dd>

</dl>

pipe_data: Generating a sample of points on a pipe

Description

Usage

Value

Arguments

Examples