Description Usage Format Details Author(s) Source References Examples

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).

1 |

A data frame with 630 observations of 4 variables.

`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

Kamila Facevicova

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.

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

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ```
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)
``` |

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