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Multivariate Data Analysis Using R Software: Practical Excercises for Multivariate Analysis - Couverture souple

Jember, Tessema Genanew

 
9783848408139: Multivariate Data Analysis Using R Software: Practical Excercises for Multivariate Analysis
Couverture souple
ISBN 10 : 3848408139 ISBN 13 : 9783848408139
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

He 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 Wollo University while attending his doctorate degree (PhD) in Addis Ababa University of Ethiopia.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3848408139
ISBN 13 
9783848408139
Reliure
Broché
Nombre de pages
120
Coordonnées du fabricant
non disponible
Personne responsable
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