manu_abs: Distribution of manufacturing output

In robCompositions: Compositional Data Analysis

Distribution of manufacturing output

Description

The data consists of values of the manufacturing output in 42 countries in 2009. The output, given in national currencies, is structured according to the 3-digit ISIC category and its components. Thorough analysis of the sample is described in Facevicova (2018).

Usage

data(manu_abs)

Format

A data frame with 630 observations of 4 variables.

Details

• country Country

• isic 3-digit ISIC category. The categories are 151 processed meat, fish, fruit, vegetables, fats; 152 Dairy products; 153 Grain mill products, starches, animal feeds; 154 Other food products and 155 Beverages.

• output The output components are Labour, Surplus and Input.

• valueValue of manufacturing output in the national currency

Author(s)

Kamila Facevicova

Source

Elaboration based on the INDSTAT 4 database (UNIDO 2012a), see also UNIDO, 2012b. UNIDO (2012a), INDSTAT 4 Industrial Statistics Database at 3- and 4-digit level of ISIC Revision 3 and 4. Vienna. Available from https://stat.unido.org. UNIDO (2012b) International Yearbook of Industrial Statistics, Edward Elgar Publishing Ltd, UK.

References

Facevicova, K., Hron, K., Todorov, V. and M. Templ (2018) General approach to coordinate representation of compositional tables. Scandinavian Journal of Statistics, 45(4).

Examples

data(manu_abs)

### Compositional tables approach
### analysis of the relative structure

result <- tabCoordWrapper(manu_abs, obs.ID='country',row.factor = 'output', 
col.factor = 'isic', value='value', test = TRUE)

result$Bootstrap

### Classical approach
### generalized linear mixed effect model
## Not run: 
library(lme4)
m <- glmer(value~output*as.factor(isic)+(1|country),
data=manu_abs,family=poisson)
summary(m)

## End(Not run)

robCompositions documentation built on Aug. 25, 2023, 5:13 p.m.