SupremeCourt {seriation} | R Documentation |
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(s)
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]])
[Package seriation version 1.5.5 Index]