alcohol

<dl>
 <dt><code>country </code></dt>
<dd>Country</dd> <dt><code>year </code></dt>
<dd>Year</dd> <dt><code>beer </code></dt>
<dd>Consumption of pure alcohol on beer (in percentages)</dd> <dt><code>wine </code></dt>
<dd>Consumption of pure alcohol on wine (in percentages)</dd> <dt><code>spirits </code></dt>
<dd>Consumption of pure alcohol on spirits (in percentages)</dd> <dt><code>other </code></dt>
<dd>Consumption of pure alcohol on other beverages (in percentages)</dd>
</dl>

data

Methods for analysis of compositional data including robust
methods (<doi:10.1007/978-3-319-96422-5>), imputation of missing values (<doi:10.1016/j.csda.2009.11.023>), methods to replace
rounded zeros (<doi:10.1080/02664763.2017.1410524>, <doi:10.1016/j.chemolab.2016.04.011>, <doi:10.1016/j.csda.2012.02.012>),
count zeros (<doi:10.1177/1471082X14535524>),
methods to deal with essential zeros (<doi:10.1080/02664763.2016.1182135>), (robust) outlier
detection for compositional data, (robust) principal component analysis for
compositional data, (robust) factor analysis for compositional data, (robust)
discriminant analysis for compositional data (Fisher rule), robust regression
with compositional predictors, functional data analysis (<doi:10.1016/j.csda.2015.07.007>) and p-splines (<doi:10.1016/j.csda.2015.07.007>),
contingency (<doi:10.1080/03610926.2013.824980>)
and compositional tables (<doi:10.1111/sjos.12326>, <doi:10.1111/sjos.12223>, <doi:10.1080/02664763.2013.856871>)
and (robust) Anderson-Darling normality tests for
compositional data as well as popular log-ratio transformations (addLR, cenLR,
isomLR, and their inverse transformations). In addition, visualisation and
diagnostic tools are implemented as well as high and low-level plot functions
for the ternary diagram.

Matthias Templ

robCompositions

Compositional Data Analysis

Karel Hron

Peter Filzmoser

Kamila Facevicova

Petra Kynclova

Jan Walach

Veronika Pintar

Jiajia Chen

Dominika Miksova

Bernhard Meindl

Alessandra Menafoglio

Alessia Di Blasi

Federico Pavone

Nikola Stefelova

Gianluca Zeni

Roman Wiederkehr

alcohol function

A data frame with 193 rows and 6 variables

Format

Matthias Templ <a href="/link/matthias.templ%40tuwien.ac.at?package=robCompositions&version=2.6.0" data-mini-rdoc="robCompositions::matthias.templ@tuwien.ac.at">matthias.templ@tuwien.ac.at</a>

Author

<dl>
 <dt><code>country </code></dt>
<dd>Country</dd>

 <dt><code>year </code></dt>
<dd>Year</dd>

 <dt><code>beer </code></dt>
<dd>Consumption of pure alcohol on beer (in percentages)</dd>

 <dt><code>wine </code></dt>
<dd>Consumption of pure alcohol on wine (in percentages)</dd>

 <dt><code>spirits </code></dt>
<dd>Consumption of pure alcohol on spirits (in percentages)</dd>

 <dt><code>other </code></dt>
<dd>Consumption of pure alcohol on other beverages (in percentages)</dd>


</dl>

alcohol consumptions by country and type of alcohol — alcohol

Matthias Templ <a href='mailto:matthias.templ@tuwien.ac.at'>matthias.templ@tuwien.ac.at</a>

alcohol consumptions by country and type of alcohol

alcohol: alcohol consumptions by country and type of alcohol

Description

Usage

Arguments

Format

Author

Examples