Russett: Russett data

In Tenenhaus/RGCCA: Regularized (or Sparse) Generalized Canonical Correlation Analysis (R/SGCCA) for multi-block data analysis

Russett data

Description

The Russett data set (Russett, 1964) are studied in Gifi (1990). Three blocks of variables have been defined for 47 countries. The first block X1 = [GINI, FARM, RENT] is related to "Agricultural Inequality": GINI = Inequality of land distribution, FARM = % farmers that own half of the land (> 50), RENT = % farmers that rent all their land. The second block X2 = [GNPR, LABO] describes "Industrial Development": GNPR = Gross national product per capita ($1955), LABO = % of labor force employed in agriculture. The third one X3 = [INST, ECKS, DEAT] measures "Political Instability": INST = Instability of executive (45-61), ECKS = Number of violent internal war incidents (46-61), DEAT = Number of people killed as a result of civic group violence (50-62). An additional variable DEMO describes the political regime: stable democracy, unstable democracy or dictatorship. Russett collected this data to study relationships between Agricultural Inequality, Industrial Development and Political Instability. Russett's hypotheses can be formulated as follows: It is difficult for a country to escape dictatorship when its agricultural inequality is above-average and its industrial development below-average.

Usage

data(Russett)

Format

A data frame with 47 observations on the following 12 variables.

gini

a numeric vector

farm

a numeric vector

rent

a numeric vector

gnpr

a numeric vector

labo

a numeric vector

inst

a numeric vector

ecks

a numeric vector

death

a numeric vector

demostab

a numeric vector

demoinst

a numeric vector

dictator

a numeric vector

References

Russett B.M. (1964), Inequality and Instability: The Relation of Land Tenure to Politics, World Politics 16:3, 442-454.

Gifi, A. (1990), Nonlinear multivariate analysis, Chichester: Wiley.

Examples

#Loading of the Russett dataset
data(Russett)
#Russett is partitioned into three blocks (X_agric, X_ind, X_polit)
X_agric = Russett[,c("gini", "farm", "rent")]
X_ind = Russett[,c("gnpr", "labo")]
X_polit = Russett[ , c("inst", "ecks", "death", "demostab",
                       "demoinst", "dictator")]
A = list(X_agric, X_ind, X_polit)

Tenenhaus/RGCCA documentation built on March 16, 2023, 2:04 p.m.