The paper discusses the significance of cultural capital for the understanding of the field of housing in contemporary Britain. It explores the relationship between housing and the position of individuals in social space mapped out by means of a multiple correspondence analysis. It considers the material aspects of housing and the changing contexts that are linked to the creation and display of...

This paper presents the R package CAvariants (Lombardo and Beh, 2017). The package performs six variants of correspondence analysis on a two-way contingency table. The main function that shares the same name as the package – CAvariants – allows the user to choose (via a series of input parameters) from six different correspondence analysis procedures. These include the classical approach to (sy...

We compare two methods for visualising contingency tables and develop a method called the ratio map which combines the good properties of both. The first is a biplot based on the logratio approach to compositional data analysis. This approach is founded on the principle of subcompositional coherence, which assures that results are invariant to considering subsets of the composition. The second ...

Power transformations of positive data tables, prior to applying the correspondence analysis algorithm, are shown to open up a family of methods with direct connections to the analysis of log-ratios. Two variations of this idea are illustrated. The first approach is simply to power the original data and perform a correspondence analysis – this method is shown to converge to unweighted log-ratio...

The heath land vegetation of northern New Zealand is usually regarded as a "derived" vegetation type resulting from forest destruction during the Maori and European periods of settlement. Plant species coverabundance data from sample quadrats in the Far North are analysed using Detrended Correspondence Analysis (DCA) and Two-way Indicator Species Analysis (TWINSPAN) and are then correlated with...

Several eeective methods for improving the performance of a single learning algorithm have been developed recently. The general approach is to to create a set of learned models by repeatedly applying the algorithm to diierent versions of the training data, and then combine the learned models' predictions according to a prescribed voting scheme. Little work has been done in combining the predict...

Correspondence analysis of a bivariate table has many diierent opti-mality properties. For instance, the scores computed by correspondence analysis linearize both regressions, and maximize the correlation coee-cient. We try to generalize both properties to the multivariate situation, using the concept of maximizing any aspect of the correlation matrix, and the concept of simultaneously lineariz...

The paper discusses the significance of cultural capital for the understanding of the field of housing in contemporary Britain. It explores the relationship between housing and the position of individuals in social space mapped out by means of a multiple correspondence analysis. It considers the material aspects of housing and the changing contexts that are linked to the creation and display of...

The problem of the proper dimension of the solution of a Multiple Correspondence Analysis (MCA) is discussed, based on both the re-evaluation of the explained inertia sensu Benzécri (Les Cahiers de l’Analyse des Données 4:377–379, 1979) and Greenacre (Multiple correspondence analysis and related methods, Chapman and Hall (Kluwer), Dordrecht, 2006) and a test proposed by Ben Ammou and Saporta (R...

Introduction.This paper constitutes part of a series of studies intended to establish "Literature and Art Informatics". The paper describes the conceptual background of multiple correspondence analysis and its use in visualizing conceptual spaces to describe the values that motivate the use of information technology by literary authors. An examination of artistic use of technology builds on pas...