Correspondence Analysis and Data Coding with Java and R (Hardcover)

INTRODUCTIONData Analysis Notes on the History of Data AnalysisCorrespondence Analysis or Principal Components Analysis R Software for Correspondence Analysis and ClusteringTHEORY OF CORRESPONDENCE ANALYSISVectors and ProjectionsFactors TransformAlgebraic PerspectiveClusteringQuestionsFurther R Software for Correspondence AnalysisSummaryINPUT DATA CODINGIntroductionFrom Doubling to Fuzzy Coding and BeyondAssessment of Coding MethodsThe Personal Equation and Double RescalingCase Study: DNA Exon and Intron Junction DiscriminationConclusions on CodingJava SoftwareEXAMPLES AND CASE STUDIESIntroduction to Analysis of Size and ShapeComparison of Prehistoric and Modern Groups of Canids Craniometric Data from Ancient Egyptian TombsTime-Varying Data Analysis: Examples from EconomicsFinancial Modeling and ForecastingCONTENT ANALYSIS OF TEXTIntroductionCorrespondence AnalysisTool Words: Between Analysis of Form and Analysis of Content Towards Content Analysis Textual and Documentary TypologyConclusion: Methodology in Free Text AnalysisSoftware for Text ProcessingIntroduction to the Text Analysis Case StudiesEight Hypotheses of Parmenides Regarding the OneComparative Study of Reality, Fable and Dream Single Document AnalysisConclusion on Text Analysis Case Studies Concluding RemarksReferencesIndex