production

<ul>
<li><code>nace </code>NACE classification, 2 digits</li>
<li><code>oenace_2008 </code>Corresponding Austrian NACE classification (in German)</li>
<li><code>year </code>year</li>
<li><code>month </code>month</li>
<li><code>enterprise </code>enterprise ID</li>
<li><code>total </code>total ...</li>
<li><code>home </code>home ...</li>
<li><code>EU </code>EU ...</li>
<li><code>non-EU </code>non-EU ...</li>
</ul>

data

Methods for analysis of compositional data including robust
methods, imputation, methods to replace rounded zeros, (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 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

production function

A data frame with 535 rows and 9 variables

Format

production splitted by nationality on enterprise level — production

production splitted by nationality on enterprise level

production: production splitted by nationality on enterprise level

Description

Usage

Arguments

Format

Examples