is.fdiscd.misclass

Tests if its argument is an object of class <code>fdiscd.misclass</code> (see Details 
of the function fdiscd.misclass).

The data consist of a set of variables measured on several groups of individuals. To each group is associated an estimated probability density function. The package provides tools to create or manage such data and functional methods (principal component analysis, multidimensional scaling, cluster analysis, discriminant analysis...) for such probability densities.

Pierre Santagostini

Three-Way / Multigroup Data Analysis Through Densities

Rachid Boumaza

Smail Yousfi

Gilles Hunault

Julie Bourbeillon

Besnik Pumo

Sabine Demotes-Mainard

is.fdiscd.misclass function

<dl> <dt>x</dt>
<dd>object to be tested.</dd></dl>

Arguments

Rachid Boumaza, Pierre Santagostini, Smail Yousfi, Gilles Hunault, Sabine Demotes-Mainard

Author

Class fdiscd.misclass — is.fdiscd.misclass

<dl>

 <dt>x</dt>
<dd>object to be tested.</dd>

</dl>

State of Data and AI Literacy Report 2025

is.fdiscd.misclass: Class `fdiscd.misclass`

Description

Usage

Value

Arguments

Author

See Also