Description Usage Value Author(s) Source See Also Examples
Blackbox estimates from issues scales from the 1980 National Election Study.
1 |
An object of class blackbox
.
stimuli |
vector of data frames of length dims. Each data frame presents results for estimates from that dimension (i.e. x$stimuli[[2]] presents results for dimension 2). Each row contains data on a separate stimulus, and each data frame includes the following variables:
|
individuals |
vector of data frames of length dims. Each data frame presents results for estimates from that dimension (i.e. x$stimuli[[2]] presents results for dimension 2). Individuals that are discarded from analysis due to the minscale constraint are NA'd out. Each row contains data on a separate stimulus, and each data frame includes the following variables:
|
fits |
A data frame of fit results, with elements listed as follows: |
SSE
Sum of squared errors.
SSE.explained
Explained sum of squared error.
percent
Percentage of total variance explained.
SE
Standard error of the estimate, with formula provided on pg. 973 of the article cited below.
singular
Singluar value for the dimension.
Nrow |
Number of rows/stimuli. |
Ncol |
Number of columns used in estimation. This may differ from the data set due to columns discarded due to the minscale constraint. |
Ndata |
Total number of data entries. |
Nmiss |
Number of missing entries. |
SS_mean |
Sum of squares grand mean. |
dims |
Number of dimensions estimated. |
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
American National Election Study. http://www.electionstudies.org/
'Issues1980', 'summary.blackbox', 'plot.blackbox'.
1 2 3 4 5 6 7 8 9 10 | ### Loads issue scales from the 1980 NES.
data(Issues1980)
Issues1980[Issues1980[,"abortion1"]==7,"abortion1"] <- 8 #missing recode
Issues1980[Issues1980[,"abortion2"]==7,"abortion2"] <- 8 #missing recode
### This command conducts estimates, which we instead load using data()
#Issues1980_bb <- blackbox(Issues1980,missing=c(0,8,9),verbose=FALSE,dims=3,minscale=8)
data(Issues1980_bb)
summary(Issues1980_bb)
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