European Union Agricultural Workforces

Usage

data(agriculture)

Format

A data frame with 12 observations on 2 variables:
[ , 1] x numeric per capita GNP
[ , 2] y numeric percentage in agriculture
The row names of the data frame indicate the countries.

Description

Gross National Product (GNP) per capita and percentage of the population working in agriculture for each country belonging to the European Union in 1993.

Details

The data seem to show two clusters, the ``more agricultural'' one consisting of Greece, Portugal, Spain, and Ireland.

Source

Eurostat (European Statistical Agency, 1994): Cijfers en feiten: Een statistisch portret van de Europese Unie.

References

Anja Struyf, Mia Hubert & Peter J. Rousseeuw (1996): Clustering in an Object-Oriented Environment. Journal of Statistical Software, 1. http://www.stat.ucla.edu/journals/jss/

See Also

agnes, daisy, diana.

Examples

data(agriculture)

## Compute the dissimilarities using Euclidean metric and without
## standardization 
daisy(agriculture, metric = "euclidean", stand = FALSE)

## Plot similar to Figure 3 in Struyf et al (1996)
plot(pam(agriculture, 2))

## Plot similar to Figure 7 in Struyf et al (1996)
plot(agnes(agriculture), ask = TRUE)

data(agriculture)

## Compute the dissimilarities using Euclidean metric and without
## standardization 
daisy(agriculture, metric = "euclidean", stand = FALSE)

## Plot similar to Figure 3 in Struyf et al (1996)
plot(pam(agriculture, 2))

## Plot similar to Figure 7 in Struyf et al (1996)
plot(agnes(agriculture), ask = TRUE)


## Plot similar to Figure 8 in Struyf et al (1996)
plot(diana(agriculture), ask = TRUE)

data(agriculture)

## Compute the dissimilarities using Euclidean metric and without
## standardization 
daisy(agriculture, metric = "euclidean", stand = FALSE)

## Plot similar to Figure 3 in Struyf et al (1996)
plot(pam(agriculture, 2))

## Plot similar to Figure 7 in Struyf et al (1996)
plot(agnes(agriculture), ask = TRUE)

data(agriculture)

## Compute the dissimilarities using Euclidean metric and without
## standardization 
daisy(agriculture, metric = "euclidean", stand = FALSE)

## Plot similar to Figure 3 in Struyf et al (1996)
plot(pam(agriculture, 2))

## Plot similar to Figure 7 in Struyf et al (1996)
plot(agnes(agriculture), ask = TRUE)


## Plot similar to Figure 8 in Struyf et al (1996)
plot(diana(agriculture), ask = TRUE)



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