Multivariate analysis is branch of statistics designed to reduce the complexity of high dimensional data by creating a low- dimensional representation of the data without ignoring the relationships among individual taxa. R is an integrated suite of software facilities for data manipulation, calculation and graphical display. It is integrated collection of intermediate tools; graphical facilities and display either directly at the computer or on hardcopy make it vital. R is very much a vehicle for newly developing methods of interactive multivariate data analysis. It has developed rapidly, and has been extended by a large collection of packages. R is adventitious Over SAS and SPSS because the data input management system, statistical and graphical procedure, and output management system and matrix language. The application of R in matrix, analysis of variance (ANOVA), regression analysis, cluster analysis and ordination methods such as Principal Components Analysis (PCA), Principal Co-ordinates Analysis (PCoA), Correspondence Analysis, Detrended Correspondence Analysis and Multi-Dimensional Scaling (MDS) for different disciplines is described in this book.
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Multivariate analysis is branch of statistics designed to reduce the complexity of high dimensional data by creating a low- dimensional representation of the data without ignoring the relationships among individual taxa. R is an integrated suite of software facilities for data manipulation, calculation and graphical display. It is integrated collection of intermediate tools; graphical facilities and display either directly at the computer or on hardcopy make it vital. R is very much a vehicle for newly developing methods of interactive multivariate data analysis. It has developed rapidly, and has been extended by a large collection of packages. R is adventitious Over SAS and SPSS because the data input management system, statistical and graphical procedure, and output management system and matrix language. The application of R in matrix, analysis of variance (ANOVA), regression analysis, cluster analysis and ordination methods such as Principal Components Analysis (PCA), Principal Co-ordinates Analysis (PCoA), Correspondence Analysis, Detrended Correspondence Analysis and Multi-Dimensional Scaling (MDS) for different disciplines is described in this book. Bestandsnummer des Verkäufers 9783848408139
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jember Tessema GenanewHe graduated BSC degree in plant Science at Alemaya University and MSC in Environmental Science at Addis Ababa University. He has experiences on development works, research and teaching. Now he is instructor at . Bestandsnummer des Verkäufers 5520053
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Taschenbuch. Zustand: Neu. Multivariate Data Analysis Using R Software | Practical Excercises for Multivariate Analysis | Tessema Genanew Jember | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783848408139 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 106621072
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