Description Usage Arguments Value Author(s) See Also Examples
predict.blackbox
reads an blackbox
object and uses the estimates to generate a matrix of predicted values.
1 2 |
object |
A |
dims |
Number of dimensions used in prediction. Must be equal to or less than number of dimensions used in estimation. |
... |
Ignored. |
A matrix of predicted values generated from the parameters estimated from a blackbox
object.
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
'blackbox', 'Issues1980'
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ## Estimate blackbox object from example and call predict function
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)
prediction <- predict.blackbox(Issues1980_bb,dims=3)
## Examine predicted vs. observed values for first 10 respondents
## Note that 4th and 6th respondents are NA because of missing data
Issues1980[1:10,]
prediction[1:10,]
## Check correlation across all predicted vs. observed, excluding missing values
prediction[which(Issues1980 %in% c(0,8,9))] <- NA
cor(as.numeric(prediction), as.numeric(Issues1980), use="pairwise.complete")
|
Loading required package: tools
## BASIC SPACE SCALING PACKAGE
## 2009 - 2021
## Keith Poole, Howard Rosenthal, Jeffrey Lewis, James Lo, and Royce Carroll
## Support provided by the U.S. National Science Foundation
## NSF Grant SES-0611974
libcon1 defense govserv inflation abortion1 taxcut libcon2 govhelpmin russia
1 0 7 5 4 2 2 6 7 4
2 4 4 6 7 1 0 0 1 2
3 6 3 0 0 1 0 0 0 0
4 5 6 2 8 2 0 9 9 9
5 3 4 2 4 4 0 8 3 3
6 5 5 4 0 3 2 9 9 9
7 8 2 6 5 3 4 8 1 7
8 2 7 7 6 2 1 6 4 1
9 6 7 2 2 3 5 6 6 5
10 5 4 2 5 2 1 4 5 6
womenrole govjobs equalrights busing abortion2
1 7 5 2 7 2
2 3 1 1 3 3
3 3 1 1 1 2
4 9 9 0 9 9
5 4 7 0 6 3
6 9 9 0 9 9
7 1 1 0 7 2
8 1 8 1 7 1
9 2 6 2 6 2
10 1 6 1 6 2
libcon1 defense govserv inflation abortion1 taxcut libcon2 govhelpmin
1 5.436112 6.267710 4.585953 4.869010 1.902599 2.775569 5.266833 5.537233
2 2.891664 3.949504 7.199578 5.848851 2.496070 2.167001 2.862174 2.300303
3 3.393584 2.012436 4.493996 4.323281 2.337468 2.930525 3.114744 1.689159
4 NA NA NA NA NA NA NA NA
5 4.772816 4.577460 2.518198 3.028964 2.949986 3.310902 4.780766 4.741694
6 NA NA NA NA NA NA NA NA
7 2.730068 5.150082 6.994781 5.299121 3.389610 2.133395 3.054735 3.359883
8 3.174996 4.986914 6.749169 5.432639 2.896262 2.225085 3.322011 3.372961
9 5.170708 5.629226 1.993527 2.625346 3.256616 3.391778 5.323245 5.869060
10 4.246276 5.591154 3.712291 3.457386 3.468704 2.946850 4.519457 5.100956
russia womenrole govjobs equalrights busing abortion2
1 5.222231 5.822348 4.756192 4.353727 6.932339 1.712149
2 1.108624 3.226022 0.824088 1.648064 4.168123 2.426978
3 -2.610414 3.423266 0.572360 2.546466 3.318591 2.420292
4 NA NA NA NA NA NA
5 2.766810 2.666016 5.070296 3.199410 6.064738 2.808590
6 NA NA NA NA NA NA
7 4.011054 1.104344 2.801240 0.709836 5.221188 3.172302
8 3.374814 2.456964 2.492920 1.525484 5.171074 2.725458
9 4.999778 2.169362 6.748264 3.256360 7.104929 3.019120
10 5.013970 1.376650 5.630120 2.162656 6.559797 3.217432
[1] 0.8242331
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