On this R-data statistics page, you will find information about the SupremeCourt data set which pertains to U.S. Supreme Court Vote Matrix. The SupremeCourt data set is found in the Zelig R package. You can load the SupremeCourt data set in R by issuing the following command at the console data("SupremeCourt"). This will load the data into a variable called SupremeCourt. If R says the SupremeCourt data set is not found, you can try installing the package by issuing this command install.packages("Zelig") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the SupremeCourt R data set. The size of this file is about 865 bytes.
U.S. Supreme Court Vote Matrix
This dataframe contains a matrix votes cast by U.S. Supreme Court justices in all cases in the 2000 term.
The dataframe has contains data for justices Rehnquist, Stevens, O'Connor, Scalia, Kennedy, Souter, Thomas, Ginsburg, and Breyer for the 2000 term of the U.S. Supreme Court. It contains data from 43 non-unanimous cases. The votes are coded liberal (1) and conservative (0) using the protocol of Spaeth (2003). The unit of analysis is the case citation (ANALU=0). We are concerned with formally decided cases issued with written opinions, after full oral argument and cases decided by an equally divided vote (DECTYPE=1,5,6,7).
Harold J. Spaeth (2005). “Original United States Supreme Court Database: 1953-2004 Terms.” <URL:http://www.as.uky.edu/polisci/ulmerproject/sctdata.htm>.
Dataset imported from https://www.r-project.org.