plotcdf.blackbt | R Documentation |
plotcdf.blackbt
reads an blackbt
object and plots the cumulative distribution
of the respondents and stimuli.
plotcdf.blackbt(x, align=NULL, xlim=c(-1.2,1), ...)
x |
an |
align |
integer, the x-axis location that stimuli names should be aligned to If set to NULL, it will attempt to guess a location. |
xlim |
vector of length 2, fed to the |
... |
other arguments to |
A plot of the empirical cumulative distribution of the respondent ideal points, along with the locations of the stimuli.
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
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
'blackbox_transpose', 'LC1980', 'plot.blackbt', 'summary.blackbt', 'LC1980_bbt'.
### Loads the Liberal-Conservative scales from the 1980 ANES.
data(LC1980)
LCdat <- LC1980[,-1] #Dump the column of self-placements
LC1980_bbt <- blackbox_transpose(LCdat, missing=c(0,8,9), dims=3,
minscale=5, verbose=TRUE)
### 'LC1980_bbt' can be retrieved quickly with:
data(LC1980_bbt)
summary(LC1980_bbt)
plotcdf.blackbt(LC1980_bbt)
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