words

Twenty words ``randomly'' selected from a dictionary and described by two features: length of word and number of definitions.

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

words function

words$data: A data matrix with 20 words (rows) described by 2 attributes (columns). For use with <code><a rd-options="" href="/link/epPCA?package=ExPosition&version=2.8.23" data-mini-rdoc="ExPosition::epPCA">epPCA</a></code>.

Format

Twenty words described by 2 features. — words

words$data: A data matrix with 20 words (rows) described by 2 attributes (columns). For use with <code><a rd-options='' href='epPCA'>epPCA</a></code>.

words: Twenty words described by 2 features.

Description

Usage

Arguments

Format

References