1974
DOI: 10.1139/e74-012
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Progresses in R– and Q–Mode Analysis: Correspondence Analysis and its Application to the Study of Geological Processes

Abstract: This paper essentially introduces a new statistical technique of data analysis together with a practical application. The technique is Correspondence Analysis and it is designed to extract the maximum information from a two dimensional array of positive numbers, such as the concentrations of various elements in several samples. It combines the advantages of R– and Q–mode analysis and also considerably reduces the problems encountered in the practical application of these techniques: Scaling problems and comput… Show more

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Cited by 52 publications
(12 citation statements)
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“…Attempts have been made, e.g. by Miesch et al (1966), David et al (1974) and Teil and Cheminée (1975), to explore compositional variability through the use of SVDs based on the raw or standardized compositional data. These approaches do not recognize specifically the compositional nature of the data and do not have the property of subcompositional coherence.…”
Section: Discussionmentioning
confidence: 99%
“…Attempts have been made, e.g. by Miesch et al (1966), David et al (1974) and Teil and Cheminée (1975), to explore compositional variability through the use of SVDs based on the raw or standardized compositional data. These approaches do not recognize specifically the compositional nature of the data and do not have the property of subcompositional coherence.…”
Section: Discussionmentioning
confidence: 99%
“…Martin & Lepart, 1989; Poulin et al ., 1993; Spitzer et al ., 1993), CA and its modified forms have been utilized extensively for analyses in various sectors of quantitative science (e.g. David et al ., 1974; Melguen, 1974; Greenacre & Vrba, 1984; Montaña & Greig‐Smith, 1990; Bojórquez‐Tapia et al ., 1995). Correspondence analysis uses graphical display to obtain a summary description of a large dataset comprising a large number of variables.…”
Section: Methodsmentioning
confidence: 99%
“…Correspondence analysis is a multivariate method that can be regarded as a variation of principal component analysis in which the properties of both R-mode and Q-mode techniques are combined. By a special method of scaling, a simultaneous representation of samples and variables on the same factoffal axes can be obtained [David et al, 1974;Ted, 1975]. The possibility of interpreting the sample points and the variable points in the same plane has obvious advantages and provides the following information:…”
Section: Multivariate Analysismentioning
confidence: 99%