sinData

n-1 points are drawn from a normal distribution with mean=0, sd=1,
the points in the final direction are calculated as the sine of the
values of direction n-1 with additional jittering controled by
the jitter factor f.

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

sinData function

<dl><dt>n</dt>
<dd>sample dimensionality</dd>
<dt>p</dt>
<dd>number of sample points to generate</dd>
<dt>f</dt>
<dd>jitter factor, default=1</dd></dl>

Arguments

Generating sine wave sample — sinData

<dl>

<dt>n</dt>
<dd>sample dimensionality</dd>


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


<dt>f</dt>
<dd>jitter factor, default=1</dd>

</dl>

sinData: Generating sine wave sample

Description

Usage

Value

Arguments

Examples