R: Distribution of manufacturing output

manu_abs {robCompositions} | R Documentation

## 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.

- `value`Value 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 http://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)

[Package robCompositions version 2.1.0 Index]