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

<p>Create an symbolic_histogram type object
</p>

sym.histogram(x = double(), breaks = NA_real_)

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
<p>character vector</p>
</td>
</tr>
<tr valign="top">
<td><code>breaks</code></td>
<td>
<p>a vector giving the breakpoints between histogram cells</p>
</td>
</tr>
</table>

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

sym.histogram

Description

Usage

Arguments

Value

Examples

RSDA

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`x`	character vector
`breaks`	a vector giving the breakpoints between histogram cells