Symbolic Data Analysis (SDA) was proposed by professor Edwin Diday in 1987, the main purpose of SDA is to substitute the set of rows (cases) in the data table for  a concept (second order statistical unit). This package implements, to the symbolic case, certain techniques of automatic classification, as well as some linear models.

R to Symbolic Data Analysis

package-ubuntu-20.04-r-4.0.5#cran#RSDA-3.0.12

sym.radar.data(dat, nom.vars, use.pct = F)

<table summary="R argblock">
<tr valign="top">
<td><code>dat</code></td>
<td>
<p>The symbolic data.</p>
</td>
</tr>
<tr valign="top">
<td><code>nom.vars</code></td>
<td>
<p>Names of the variables.</p>
</td>
</tr>
<tr valign="top">
<td><code>use.pct</code></td>
<td>
<p>a logical value indicating if use percentage or real distance for plot.</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#RSDA-3.0.12#docs#sym.radar.data

sym.radar.data

Description

Usage

Arguments

Value

RSDA

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`dat`	The symbolic data.
`nom.vars`	Names of the variables.
`use.pct`	a logical value indicating if use percentage or real distance for plot.