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>pca.supplementary.vertex.lambda.fun.j
</p>

pca.supplementary.vertex.lambda.fun.j(
  x,
  M,
  N,
  sym.var.names,
  sym.data.vertex.matrix,
  tot.individuals,
  num.dimen.aux
)

package-ubuntu-20.04-r-4.0.5#cran#RSDA-3.0.12#docs#pca.supplementary.vertex.lambda.fun.j

pca.supplementary.vertex.lambda.fun.j

Description

Usage

RSDA

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