Protein: Protein consumption data.

In villardon/MultBiplotR: Multivariate Analysis Using Biplots in R

Description

Protein consumption in twenty-five European countries for nine food groups.

Usage

data(Protein)

Format

A data frame with 25 observations on the following 11 variables.

Comunist

a factor with levels No Yes

Region

a factor with levels North Center South

Red_Meat

a numeric vector

White_Meat

a numeric vector

Eggs

a numeric vector

Milk

a numeric vector

Fish

a numeric vector

Cereal

a numeric vector

Starch

a numeric vector

Nuts

a numeric vector

Fruits_Vegetables

a numeric vector

Details

These data measure protein consumption in twenty-five European countries for nine food groups. It is possible to use multivariate methods to determine whether there are groupings of countries and whether meat consumption is related to that of other foods.

Source

http://lib.stat.cmu.edu/DASL/Datafiles/Protein.html

References

Weber, A. (1973) Agrarpolitik im Spannungsfeld der internationalen Ernaehrungspolitik, Institut fuer Agrarpolitik und marktlehre, Kiel.

Gabriel, K.R. (1981) Biplot display of multivariate matrices for inspection of data and diagnosis. In Interpreting Multivariate Data (Ed. V. Barnett), New York: John Wiley & Sons, 147-173.

Hand, D.J., et al. (1994) A Handbook of Small Data Sets, London: Chapman & Hall, 297-298.

Examples

data(Protein)
## maybe str(Protein) ; plot(Protein) ...

villardon/MultBiplotR documentation built on June 5, 2021, 8:55 a.m.