mca.wine

Six wines described by several assessors with qualitative attributes.

datasets

A variety of descriptive multivariate analyses with the singular value decomposition,
such as principal components analysis, correspondence analysis, and multidimensional scaling.
See An ExPosition of the Singular Value Decomposition in R (Beaton et al 2014) <doi:10.1016/j.csda.2013.11.006>.

Derek Beaton

ExPosition

Exploratory Analysis with the Singular Value Decomposition

mca.wine function

mca.wine$data: A (categorical) data matrix with 6 wines (rows) from several assessors described by 10 attributes (columns). For use with <code><a rd-options="" href="/link/epMCA?package=ExPosition&version=2.8.23" data-mini-rdoc="ExPosition::epMCA">epMCA</a></code>.

Format

Six wines described by several assessors with qualitative attributes. — mca.wine

mca.wine$data: A (categorical) data matrix with 6 wines (rows) from several assessors described by 10 attributes (columns). For use with <code><a rd-options='' href='epMCA'>epMCA</a></code>.

mca.wine: Six wines described by several assessors with qualitative attributes.

Description

Usage

Arguments

Format

References