summary.blackbox {basicspace} | R Documentation |
Blackbox Summary
Description
summary.blackbox
reads an blackbox
object and prints a summary.
Usage
## S3 method for class 'blackbox'
summary(object, ...)
Arguments
object |
a |
... |
further arguments to |
Value
A summary of a blackbox
object. For each dimension, reports all
stimuli with coordinates, individuals used for scaling, and fit. Also
summarizes number of rows, columns, total data entries, number of missing
entries, percent missing data, and sum of squares.
Author(s)
Keith Poole ktpoole@uga.edu
Howard Rosenthal hr31@nyu.edu
Jeffrey Lewis jblewis@ucla.edu
James Lo lojames@usc.edu
Royce Carroll rcarroll@rice.edu
Christopher Hare cdhare@ucdavis.edu
References
David A. Armstrong II, Ryan Bakker, Royce Carroll, Christopher Hare, Keith T. Poole, and Howard Rosenthal. 2021. Analyzing Spatial Models of Choice and Judgment. 2nd ed. Statistics in the Social and Behavioral Sciences Series. Boca Raton, FL: Chapman & Hall/CRC. doi: 10.1201/9781315197609
Keith T. Poole, Jeffrey B. Lewis, Howard Rosenthal, James Lo, and Royce Carroll. 2016. “Recovering a Basic Space from Issue Scales in R.” Journal of Statistical Software 69(7): 1-21. doi:10.18637/jss.v069.i07
Keith T. Poole. 1998. “Recovering a Basic Space From a Set of Issue Scales.” American Journal of Political Science 42(3): 954-993. doi: 10.2307/2991737
See Also
'blackbox', 'Issues1980'
Examples
### Loads issue scales from the 1980 ANES.
data(Issues1980)
Issues1980[Issues1980[,"abortion1"]==7,"abortion1"] <- 8 #missing recode
Issues1980[Issues1980[,"abortion2"]==7,"abortion2"] <- 8 #missing recode
Issues1980_bb <- blackbox(Issues1980, missing=c(0,8,9), verbose=FALSE,
dims=3, minscale=8)
### 'Issues1980_bb' can be retrieved quickly with:
data(Issues1980_bb)
summary(Issues1980_bb)