Analyzing Compositional Data with R
type: Item
instance of: scholarly article
title: Analyzing Compositional Data with R
zbMATH Open document ID: 1276.62011
DOI: 10.1007/978-3-642-36809-7
publication date: 2013-04-02T00:00:00Z
Mathematics Subject Classification ID: 62-07
Mathematics Subject Classification ID: 62-04
Mathematics Subject Classification ID: 62-01
Mathematics Subject Classification ID: 62J12
Mathematics Subject Classification ID: 62H25
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 6149287
zbMATH Keywords: multivariate statistics
zbMATH Keywords: equivalence classes
zbMATH Keywords: missing values
zbMATH Keywords: outliers
zbMATH Keywords: invariance analysis
zbMATH Keywords: compositional graphics
zbMATH Keywords: Aitcheson simplex
zbMATH Keywords: random compositions
zbMATH Keywords: count compositions
zbMATH Keywords: linear models
zbMATH Keywords: dependent variables
zbMATH Keywords: interdependent variables
zbMATH Keywords: cluster analysis
zbMATH Keywords: zeroes and missing values
zbMATH Keywords: analysis of outliers
author: Karl Gerald van den Boogaart
author: Raimon Tolosana-Delgado
describes a project that uses: robustbase
describes a project that uses: gstat
describes a project that uses: compositions
describes a project that uses: R
describes a project that uses: energy
describes a project that uses: roblm
describes a project that uses: Gstat
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1007/978-3-642-36809-7
OpenAlex ID: W374884248
description: scientific article; zbMATH DE number 6149287