seriation (version 1.5.7)

SupremeCourt: Voting Patterns in the Second Rehnquist U.S. Supreme Court

Description

Contains a (a subset of the) decisions for the stable 8-yr period 1995-2002 of the second Rehnquist Supreme Court. Decisions are aggregated to the joint probability for disagreement between judges.

Format

A square, symmetric 9-by-9 matrix with the joint probability for disagreement.

Author

Michael Hahsler

References

Sirovich, L. (2003). A pattern analysis of the second Rehnquist
U.S. Supreme Court. _Proceedings of the National Academy of Sciences of the United
States of America,_ **100**, 7432-7437. \doi{10.1073/pnas.1132164100}

See Also

Other data: Chameleon, Irish, Munsingen, Townships, Wood, Zoo, create_lines_data(), is.robinson()

Examples

data("SupremeCourt")

# a matrix with joint probability of disagreement
SupremeCourt

# show judges in original alphabetical order
d <- as.dist(SupremeCourt)
pimage(d, diag = TRUE, upper = TRUE)

# reorder judges using seriation based on similar decisions
o <- seriate(d)
o

pimage(d, o, diag = TRUE, upper = TRUE)

# Use optimal leaf ordering (hierarchical clustering with reordering)
# which uses a dendrogram
o <- seriate(d, method = "OLO")
o

plot(o[[1]])

# Use multi-dimensional scaling and show the configuration
o <- seriate(d, method = "sammon")
o

pimage(d, o, diag = TRUE, upper = TRUE)
plot_config(o[[1]])