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

<table summary="R argblock"><tr valign="top">
<td><code>x</code></td>
<td>
<p>an object to be tested</p>
</td>
</tr></table>

<p>returns TRUE if its argument's value is a symbolic_modal and FALSE otherwise.
</p>

x <- sym.modal(factor(c("a", "b", "b", "l")))
is.sym.modal(x)

package-ubuntu-20.04-r-4.0.5#cran#RSDA-3.0.12#docs#is.sym.modal

is.sym.modal

Description

Usage

Arguments

Value

Examples

RSDA

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