02007cam a2200337Ia 4500001001500000003000900015005001700024006001900041007000700060008004100067020003200108040002300140100002500163245014600188260003600334300002400370490005600394504005100450505014000501520067800641530003701319538003601356650002701392650003401419655002801453700002501481700002801506776001801534830005001552856006701602CRC0KE11623PDFBD-DhSAU20151012144306.0m|||||o||d||||||||cr||||110310s2011    fluad   sb    001 0 eng d  a9781439835814 (ebook : PDF)  aBD-DhSAUcBD-DhSAU1 aHusson, Fran�cois.10aExploratory multivariate analysis by example using Rh[electronic resource] /cFran�cois Husson, S�ebastien L�e, J�er�ome Pag�es.  aBoca Raton :bCRC Press,c2011.  axii, 228 p. :bill.1 aChapman & Hall/CRC computer science & data analysis  aIncludes bibliographical references and index.0 a1. Principal component analysis (PCA) -- 2. Correspondence analysis (CA) -- 3. Multiple correspondence analysis (MCA) -- 4. Clustering.  a"An introduction to exploratory techniques for multivariate data analysis, this book covers the key methodology, including principal components analysis, correspondence analysis, mixed models and multiple factor analysis. The authors take a practical approach, with examples leading the discussion of the methods and lots of graphics to emphasize visualization. They present the concepts in the most intuitive way possible, keeping mathematical content to a minimum or relegating it to the appendices. The book includes examples that use real data from a range of scientific disciplines and implemented using an R package developed by the authors"--cProvided by publisher.  aAlso available in print edition.  aMode of access: World Wide Web. 0aMultivariate analysis. 0aR (Computer program language) 7aElectronic books.2lcsh1 aL�e, S�ebastien.1 aPag�es, J�er�ome.1 z9781439835807 0aSeries in computer science and data analysis.40uhttp://marc.crcnetbase.com/isbn/9781439835814qapplication/PDF