Analyzing compositional data with R / / K. Gerald van den Boogaart, Raimon Tolosana-Delgado.

Author/creator Boogaart, K. Gerald van den
Other author Tolosana-Delgado, Raimon.
Format Electronic
Publication InfoHeidelberg : Springer, [2013]
Descriptionxv, 258 pages : illustrations (some color) ; 23 cm.
Supplemental ContentFull text available from Springer Nature - Springer Mathematics and Statistics eBooks 2013 English International
Supplemental ContentFull text available from Springer Books
Subjects

SeriesUse R!
Use R! ^A614263
Contents Introduction -- What are compositional data? -- Getting started with R -- References -- Fundamental concepts of compositional data analysis -- A practical view to compositional concepts -- Principles of compositional analysis -- Elementary compositional graphics -- Multivariate scales -- The Aitchison simplex -- References -- Distributions for random compositions -- Continuous distribution models -- Models for count compositions -- Relations between distributions -- References -- Descriptive analysis of compositional data -- Descriptive statistics -- Exploring marginals -- Exploring projections -- References -- Linear models for compositions -- Introduction -- Compositions as independent variables -- Compositions as dependent variables -- Compositions as both dependent and independent variables -- Advanced considerations -- References -- Multivariate statistics -- Principal component analysis: exploring codependence -- Cluster analysis: detecting natural groups -- Discriminant analysis -- Other multivariate techniques -- References -- Zeros, missings, and outliers -- Descriptive analysis with and of missings -- Working with missing values -- Outliers -- Descriptive analysis of outliers -- Working with outliers -- References.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2013940100
ISBN3642368085
ISBN9783642368080