• Correspondence Analysis of the movie Casablanca, for displaying and tracking emotion on YouTube. For published work on this, see "narrativization" - analysis and synthesis of narrative site.
• 
• Les Cahiers de l'Analyse des Données, Tome 1, no. 1, 1976 - Tome 22, no. 4, 1997, scanned copies of all 22 volumes of this journal, with 4 issues annually, from 1976 to 1997.
• 
• F. Murtagh, "The Correspondence Analysis platform for uncovering deep structure in data and information", The Computer Journal, 53 (3), 304-315, 2010. 6th Annual Public Boole Lecture in Informatics, 2008, Boole Centre for Research in Informatics, University College Cork.
• J.P. Benzécri, "Si j'avais un laboratoire" (If I had a lab)", La Revue MODULAD -- Le Monde des Utilisateurs de l'Analyse des Données, No. 38, 2008.
• J.P. Benzécri, "L'Analyse des données : histoire, bilan, projets, perspective (Data analysis: history, balance-sheet, projects, outlook)" La Revue MODULAD -- Le Monde des Utilisateurs de l'Analyse des Données, No. 35, 2006.
• J.P. Benzécri, English translation of part of "Si j'avais un laboratoire".
• 
• J.P. Benzécri, "Choriogenensis: the dynamical genesis of space and its dimensions, controlled by correspondence analysis", chapter 6, pp. 63-76, in M. Gettler Summa, L. Bottou, B. Goldfarb, F. Murtagh, C. Pardoux and M. Touati, Eds., Statistical Learning and Data Science, Chapman and Hall, 2011.
• Special issue, "About the History of Multivariate Exploratory Data Analysis", with many articles dealing with the history and development of Benzécri's approach to analysis of data and science. Electronic Journal for History of Probability and Statistics, Vol. 4/2, December 2008,
• Included in the foregoing is an English version of the article "L'âme au bout d'un rasoir, The soul at the razor's edge", originally publised in the journal Les Cahiers de l'Analyse des Données, vol. V, no. 2, 1980, pp. 229-242. Updated version (10 May 2009) in English of this article, "L'âme au bout d'un rasoir, The soul at the razor's edge".
• 
• H. Rouanet, W. Ackerman and B. Le Roux, "The geometric analysis of questionnaires: the lesson of Bourdieu's La Distinction", updated version 2004, Bulletin de Méthodologie Sociologique, 2000, 65, 5-15.
• F. Murtagh, "Mathematics, science, and the role of data analysis", translated freely from: J.P. Benzézecri, "L'avenir de l'analyse des données", Behaviormetrika, 10, 1-11 (1983).
• Brigitte Le Roux's pages, with details of "Geometric Data Analysis Workshop" ("Ateliers d'Analyse Géometrique des Données") training courses; B. Le Roux and H. Rouanet, Multiple Correspondence Analysis, SAGE, 2010; B. Le Roux and H. Rouanet, Geometric Data Analysis: From Correspondence Analysis to Structured Data Analysis, Kluwer, 2004.

• Table of Contents (in PDF).
• Chapters:
  1. Avant-Propos, Foreword (in French and English) by J.P. Benzécri
  2. Introduction
  3. Theory of Correspondence Analysis
  4. Input Data Coding
  5. Examples and Case Studies
  6. Content Analysis of Text
  7. Concluding Remarks, References, Index
• Link to online description - Chapman & Hall/CRC Computer Science & Data Analysis series
• Link to Amazon
• Link to Amazon.co.uk

Some of the programs, especially the R and C ones, are in ascii text. Some others are binary (e.g. the clustering DLL program, and the Java class files). The Java code and the data sets are collected together in tar files, to be extracted using WinZIP or tar or some similar utility.

1. Software in R

• Correspondence analysis
  • Correspondence analysis, determining rates of inertia, projections on factors, contributions, and correlations.
  • Supplementary rows.
  • Supplementary columns.
• Hierarchical clustering
  • Background details, and examples of use on Intel Windows and Unix systems.
  • All functions in one (standalone) R/S-Plus file (call in R as function hierclust).
  • C source code for the clustering.
    Next a DLL library for use on Intel/Windows systems.
    Alternatively compile on a Unix system to get the object code (cf. "Background details..." above); and
    R/S-Plus script that calls the C code (call in R as function HierClust).
• Interpretation aids
  • FACOR - factors and clusters.
  • Print and format FACOR results.
  • VACOR - variables and clusters.
  • VACOR - variables and clusters, supporting C code for clustering.
  • Print and format VACOR results.
• Utilities and data
  • Fuzzy or piecewise linear data coding.
  • Plot axes.
  • Data sets to be used with R programs. Currently 3 data sets (but see also the data sets available below that are ready for use with the Java program: these can also be easily prepared for use with the R programs).

• Analysis of multiple text files.
  • aviation-reports-data.tar, 47 aviation accident reports, the list of these files, programs txtanalysis.c and xtabulate.c, and output files words.txt, words0.txt, and xtabulate.txt, used as examples in the following.
  • txtanalysis.c program, that is run as follows: txtanalysis filelist.txt [words.txt]
  • xtabulate.c program, that is run as follows: xtabulate words.txt filelist.txt [xtabulate.txt]
  • word_analysis.c, program to check for sufficient number of occurrences of words in all texts. Hence, this program yields a common word-list. This common word-list can be used by xtabulate.
• Analysis of a single (large) text file.
  • arist10.txt, Aristotle's Categories. Note: we removed the legal information (so as not to influence the analysis) to yield the file arist10x.txt.
  • docanalysis.c program, to produce a word list from a single text file. Example of use: docanalysis arist10x.txt words.txt. for the Categories 1260 words are found. It is best to filter or cull these (or else the cross-tabulations, to follow will be very large).
  • doctabulate.c program, to produce a cross-tabulation for each of the chapter and section levels in the Categories. Use: doctabulate arist10x.txt words.txt out. This produces the cross-tabulations, or contingency tables, out1.txt, out2.txt, out3.txt, out4.txt, corresponding to the different section levels in this book.
• Notes: programs txtanalysis and xtabulate should handle acceptably (i) accented characters, and (ii) use in a Mac OS X environment. (The latter issue is that memory allocation is already catered for; so the line "#include <malloc.h>" at the start of the file should not be present.)

• Tar file containing all *.java source files. Compile these using the JDK (Java Development Kit) command:
  javac *.java -d java-classes
  where java-classes is the target directory.
• Tar file containing all *.class class files. Run these using the JRE (Java Runtime Environment) command:
  java DataAnalysis
  It is best to do this as a command-line instruction, in the classes directory. A pop-up window will prompt for the input file name.
• Tar file containing a set of *.dat data files for use with the Java software. Currently containing 28 data files. By removing certain lines and labels these data sets can be easily read into R.

Errata

• P. 39, section 2.3.4, at the start of this section, replace f_i \rho^{(i)} with f_i \rho^2(i). (This sentence continues: " ... is the absolute contribution of point i to the inertia of the cloud".)
• P. 35, 2 lines above expressions (2.4), change j \in J to: i \in I.
• P. 37, line -14, change f_K to f_I. And in paragraphs on lines -11, -10, delete opening words and terms to begin sentence with: We can right-multiply the eigen-equation above ....
• P. 38. Equation 2.6 should be two equations. There are two definitions, of rho squared of i, and rho squared of j. The source text is as follows:

  \begin{equation}
  \rho^2(i) = \| f^i_J - f_J \|^2_{f_J} = \sum_{\alpha=1..N}
  F^2_\alpha(i) \\
  \rho^2(j) = \| f^j_I - f_I \|^2_{f_I} = \sum_{\alpha=1..N}
  F^2_\alpha(j)
  \label{norm}
  \end{equation}
  

• P. 113, line 6 of text, 40% should be 48%.
• See above for changes to the C program for hierarchical clustering (minimum variance/Wards with weighting of rows/cases), and associated R calling script.

Updates

• A new version of facor, with an example of use at the start of the program. Input data set, casa2.prn (text file), a characterization with 13 person and place attributes of the 77 scenes of the film, Casablanca.

5. Book Reviews and Survey Papers

• "Detailed examples of its application to data are drawn from an astonishingly wide variety of fields; astronomy, financial modeling and forecasting, comparisons of prehistoric and modern groups of dogs, ancient goblets and measurements on ancient Egyptian skulls. ... All in all this book can be recommended as a succinct reference on all aspects of correspondence analysis, theoretical, computational, and practical." - J.M. Juritz, Short Book Reviews of the ISI.
• "This book plays an important role in bridging the gap between learning a method and actually implementing it ... could serve as either a text for an introductory course on CA or as a supplementary text to a more advanced graduate course in CA or multivariate techniques in general ... The author should be commended for bringing these issues to the forefront." – Douglas Steinley, University of Missouri-Columbia, in Psychometrika, Vol. 74, No. 1, 2007.
• F. Murtagh, Review, Journal of Classification, 25, 137-141, 2008, of Brigitte Le Roux and Henry Rouanet, Geometric Data Analysis, From Correspondence Analysis to Structured Data Analysis, Kluwer, Dordrecht, 2004.
• F. Murtagh, reply to Jan de Leeuw regarding this book, focusing on the continuing ground-breaking innovation underlying data coding in the correspondence analysis and associated data analysis framework.
• F. Murtagh, Origins of modern data analysis linked to the beginnings and early development of computer science and information engineering, Electronic Journal for History of Probability and Statistics, vol. 4, no. 2, Dec. 2008.

6. Other Data Analysis and Signal Processing Software

• New, 13 December 2015. R code accompanying this paper: Fionn Murtagh, "Big data scaling through metric mapping: exploiting the remarkable simplicity of very high dimensional spaces using Correspondence Analysis". (Paper presented at IFCS 2015, International Federation of Classification Societies Conference, Bologna, Italy, July 2015.)
• Multivariate data analysis resources, code by F Murtagh, in C, Fortran, R/S-Plus, and Java, for cluster analysis, and other purposes. Features: O(n^2) hierarchical clustering, wavelet transform on a hierarchy, online books, datasets. Code used in: CLUSTAN; R; by American Airlines Pricing Systems; many others.
• MR, a large suite of programs for wavelet transform analysis of images and signals, together with other multiresolution transform analysis approaches (curvelet and ridgelet transform), and general image and signal processing (edge detection, fractal analysis, etc.). For filtering and noise modeling, compression, deconvolution, visualization, and other related applications.
• Code in Matlab and IDL accompanying the book J.L. Starck, F. Murtagh and J. Fadili, Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity, Cambridge University Press, 2010.

7. Linnaeus, Huyghens, Laplace

1. Linnaeus
2. Huyghens
3. Laplace