iris = read.table("http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data",
sep = ",", header = FALSE)
head(iris)
## V1 V2 V3 V4 V5
## 1 5.1 3.5 1.4 0.2 Iris-setosa
## 2 4.9 3.0 1.4 0.2 Iris-setosa
## 3 4.7 3.2 1.3 0.2 Iris-setosa
## 4 4.6 3.1 1.5 0.2 Iris-setosa
## 5 5.0 3.6 1.4 0.2 Iris-setosa
## 6 5.4 3.9 1.7 0.4 Iris-setosa
names(iris) = c("sepal.length", "sepal.width", "petal.length", "petal.width",
"iris.type")
Let’s fit a 3 nearest neighbour classifier
train = rbind(iris[1:25, -5], iris[50:75, -5], iris[100:125, -5])
test = rbind(iris[26:50, -5], iris[76:100, -5], iris[126:150, -5])
train_cl = factor(c(iris[1:25, 5], iris[50:75, 5], iris[100:125, 5]))
test_cl = factor(c(iris[26:50, 5], iris[76:100, 5], iris[126:150, 5]))
library(class)
iris.knn3 = knn(train, test, train_cl, k = 3, prob = TRUE)
iris.knn3
## [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 3 2 2 2 2 2 3 2
## [36] 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 2 2 3 3 3 3 3 3 3 3 3 3 2 3 3 3 3 3 3
## [71] 3 3 3 3 3
## attr(,"prob")
## [1] 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000
## [11] 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000
## [21] 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 0.6667 1.0000 1.0000
## [31] 1.0000 1.0000 1.0000 0.6667 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000
## [41] 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000
## [51] 1.0000 0.6667 0.7500 1.0000 1.0000 1.0000 1.0000 1.0000 0.5000 1.0000
## [61] 1.0000 1.0000 1.0000 0.6667 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000
## [71] 1.0000 0.6667 1.0000 1.0000 0.6667
## Levels: 1 2 3
knn(train, test, train_cl, k = 3, prob = TRUE)
## [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 3 2 2 2 2 2 3 2
## [36] 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 2 2 3 3 3 3 3 2 3 3 3 3 2 3 3 3 3 3 3
## [71] 3 3 3 3 3
## attr(,"prob")
## [1] 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000
## [11] 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000
## [21] 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 0.6667 1.0000 1.0000
## [31] 1.0000 1.0000 1.0000 0.6667 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000
## [41] 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000
## [51] 1.0000 0.6667 0.7500 1.0000 1.0000 1.0000 1.0000 1.0000 0.5000 1.0000
## [61] 1.0000 1.0000 1.0000 0.6667 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000
## [71] 1.0000 0.6667 1.0000 1.0000 0.6667
## Levels: 1 2 3
Let’s write a function to view the decision boundaries as a function of the number of neighbours used.
In[30]:
def knn_iris(K):
grid = np.mgrid[3.5:8:500j,2:5:400j]
gridT = grid.reshape((2,-1)).T
%R -i gridT,K colnames(gridT) = c('sepal.length', 'sepal.width')
%R gridT = data.frame(gridT); labels = knn(iris[,c('sepal.length', 'sepal.width')], gridT, iris$iris.type, k=K)
%R -o labels
plt.imshow(labels.reshape((500,400)).T, interpolation='nearest', origin='lower', alpha=0.4, extent=[3.5,8,2,5], cmap=pylab.cm.RdYlGn)
plt.scatter(iris['sepal.length'], iris['sepal.width'], c=[col[t] for t in iris['iris.type']])
a = plt.gca()
a.set_xlim((3.5,8))
a.set_ylim((2,5))
knn_iris(3)
<matplotlib.figure.Figure at 0x84b8650>
In[31]:
knn_iris(10)
<matplotlib.figure.Figure at 0x84bfe90>
In[32]:
knn_iris(30)
<matplotlib.figure.Figure at 0xa4acb10>
This is still rougher than LDA. It is rougher because it is a completely non-parametric method that does not assume a model, as LDA does.
In[33]:
%%R -i gridT -o labels -d iris
colnames(gridT) = c('sepal.length', 'sepal.width')
gridT = data.frame(gridT)
library(MASS)
iris.lda = lda(iris.type ~ sepal.length + sepal.width, data=iris)
labels = predict(iris.lda, gridT)$class
In[34]:
plt.imshow(labels.reshape((500,400)).T, interpolation='nearest', origin='lower', alpha=0.4, extent=[3.5,8,2,5], cmap=pylab.cm.RdYlGn)
plt.scatter(iris['sepal.length'], iris['sepal.width'], c=[col[t] for t in iris['iris.type']])
a = plt.gca()
a.set_xlim((3.5,8))
a.set_ylim((2,5))
Out[34]:
(2, 5)
<matplotlib.figure.Figure at 0xa49cc50>
This next classifier uses the naive Bayes rule. In the continuous example, it is a special case of a Gaussian discriminant. What is the model used?
library(e1071)
## Warning: package 'e1071' was built under R version 2.15.1
m = naiveBayes(iris[, -5], iris[, 5])
m
##
## Naive Bayes Classifier for Discrete Predictors
##
## Call:
## naiveBayes.default(x = iris[, -5], y = iris[, 5])
##
## A-priori probabilities:
## iris[, 5]
## Iris-setosa Iris-versicolor Iris-virginica
## 0.3333 0.3333 0.3333
##
## Conditional probabilities:
## sepal.length
## iris[, 5] [,1] [,2]
## Iris-setosa 5.006 0.3525
## Iris-versicolor 5.936 0.5162
## Iris-virginica 6.588 0.6359
##
## sepal.width
## iris[, 5] [,1] [,2]
## Iris-setosa 3.418 0.3810
## Iris-versicolor 2.770 0.3138
## Iris-virginica 2.974 0.3225
##
## petal.length
## iris[, 5] [,1] [,2]
## Iris-setosa 1.464 0.1735
## Iris-versicolor 4.260 0.4699
## Iris-virginica 5.552 0.5519
##
## petal.width
## iris[, 5] [,1] [,2]
## Iris-setosa 0.244 0.1072
## Iris-versicolor 1.326 0.1978
## Iris-virginica 2.026 0.2747
iris.nb = naiveBayes(iris[, c("sepal.length", "sepal.width")], iris[, 5])
labels = predict(iris.nb, gridT)
In[39]:
%R -o labels
plt.imshow(labels.reshape((500,400)).T, interpolation='nearest', origin='lower', alpha=0.4, extent=[3.5,8,2,5], cmap=pylab.cm.RdYlGn)
plt.scatter(iris['sepal.length'], iris['sepal.width'], c=[col[t] for t in iris['iris.type']])
a = plt.gca()
a.set_xlim((3.5,8))
a.set_ylim((2,5))
Out[39]:
(2, 5)
<matplotlib.figure.Figure at 0xa6abed0>
The 
parameter of the Laplace rules can smooth out the
probabilities when there are discrete features. Let’s test this out on
the voting data.
votes = read.table("http://stats202.stanford.edu/data/2011_cleaned_votes.csv",
header = TRUE, sep = ";")
dim(votes)
## [1] 426 948
for (i in 2:948) {
votes[, i] = factor(votes[, i])
}
m = naiveBayes(votes[, -1], votes[, 1])
m
##
## Naive Bayes Classifier for Discrete Predictors
##
## Call:
## naiveBayes.default(x = votes[, -1], y = votes[, 1])
##
## A-priori probabilities:
## votes[, 1]
## D R
## 0.4437 0.5563
##
## Conditional probabilities:
## numeric_vote1
## votes[, 1] 0
## D 1
## R 1
##
## numeric_vote3
## votes[, 1] -1 0 1
## D 0.97884 0.02116 0.00000
## R 0.00000 0.06751 0.93249
##
## numeric_vote4
## votes[, 1] -1 0 1
## D 0.97884 0.02116 0.00000
## R 0.00000 0.01266 0.98734
##
## numeric_vote5
## votes[, 1] -1 0 1
## D 0.000000 0.005291 0.994709
## R 0.995781 0.004219 0.000000
##
## numeric_vote6
## votes[, 1] -1 0 1
## D 0.994709 0.005291 0.000000
## R 0.000000 0.004219 0.995781
##
## numeric_vote7
## votes[, 1] 0
## D 1
## R 1
##
## numeric_vote8
## votes[, 1] -1 0 1
## D 0.06878 0.01587 0.91534
## R 0.00000 0.03376 0.96624
##
## numeric_vote9
## votes[, 1] -1 0 1
## D 0.94180 0.04762 0.01058
## R 0.00000 0.02954 0.97046
##
## numeric_vote10
## votes[, 1] -1 0 1
## D 0.93651 0.04233 0.02116
## R 0.00000 0.02954 0.97046
##
## numeric_vote11
## votes[, 1] -1 0 1
## D 0.82540 0.03175 0.14286
## R 0.00000 0.03797 0.96203
##
## numeric_vote12
## votes[, 1] 0 1
## D 0.14815 0.85185
## R 0.02954 0.97046
##
## numeric_vote13
## votes[, 1] -1 0 1
## D 0.026455 0.015873 0.957672
## R 0.995781 0.004219 0.000000
##
## numeric_vote14
## votes[, 1] -1 0 1
## D 0.978836 0.005291 0.015873
## R 0.000000 0.000000 1.000000
##
## numeric_vote15
## votes[, 1] -1 0 1
## D 0.005291 0.021164 0.973545
## R 0.000000 0.004219 0.995781
##
## numeric_vote16
## votes[, 1] -1 0 1
## D 0.904762 0.021164 0.074074
## R 0.000000 0.008439 0.991561
##
## numeric_vote17
## votes[, 1] -1 0 1
## D 0.89947 0.06878 0.03175
## R 0.00000 0.03797 0.96203
##
## numeric_vote18
## votes[, 1] -1 0 1
## D 0.86772 0.08995 0.04233
## R 0.00000 0.03797 0.96203
##
## numeric_vote19
## votes[, 1] -1 0 1
## D 0.02116 0.02646 0.95238
## R 0.98734 0.01266 0.00000
##
## numeric_vote20
## votes[, 1] -1 0 1
## D 0.851852 0.058201 0.089947
## R 0.000000 0.008439 0.991561
##
## numeric_vote21
## votes[, 1] 0 1
## D 0.03175 0.96825
## R 0.01266 0.98734
##
## numeric_vote22
## votes[, 1] -1 0 1
## D 0.92063 0.06878 0.01058
## R 0.00000 0.03797 0.96203
##
## numeric_vote23
## votes[, 1] -1 0 1
## D 0.03704 0.11640 0.84656
## R 0.00000 0.03797 0.96203
##
## numeric_vote24
## votes[, 1] -1 0 1
## D 0.005291 0.105820 0.888889
## R 0.940928 0.054852 0.004219
##
## numeric_vote25
## votes[, 1] -1 0 1
## D 0.825397 0.121693 0.052910
## R 0.004219 0.046414 0.949367
##
## numeric_vote26
## votes[, 1] -1 0 1
## D 0.62963 0.02116 0.34921
## R 0.10127 0.02110 0.87764
##
## numeric_vote27
## votes[, 1] 0 1
## D 0.005291 0.994709
## R 0.012658 0.987342
##
## numeric_vote28
## votes[, 1] -1 0 1
## D 0.873016 0.010582 0.116402
## R 0.008439 0.012658 0.978903
##
## numeric_vote29
## votes[, 1] -1 0 1
## D 0.89418 0.02646 0.07937
## R 0.01688 0.01266 0.97046
##
## numeric_vote30
## votes[, 1] -1 0 1
## D 0.93651 0.03175 0.03175
## R 0.00000 0.02532 0.97468
##
## numeric_vote31
## votes[, 1] -1 0 1
## D 0.87831 0.02646 0.09524
## R 0.00000 0.01266 0.98734
##
## numeric_vote32
## votes[, 1] -1 0 1
## D 0.015873 0.058201 0.925926
## R 0.995781 0.004219 0.000000
##
## numeric_vote33
## votes[, 1] -1 0 1
## D 0.148148 0.058201 0.793651
## R 0.000000 0.008439 0.991561
##
## numeric_vote34
## votes[, 1] -1 0 1
## D 0.23280 0.14286 0.62434
## R 0.01266 0.04641 0.94093
##
## numeric_vote35
## votes[, 1] -1 0 1
## D 0.000000 0.042328 0.957672
## R 0.974684 0.016878 0.008439
##
## numeric_vote36
## votes[, 1] -1 0 1
## D 0.60317 0.05291 0.34392
## R 0.10549 0.01266 0.88186
##
## numeric_vote37
## votes[, 1] -1 0 1
## D 0.24339 0.05820 0.69841
## R 0.03797 0.04219 0.91983
##
## numeric_vote38
## votes[, 1] -1 0 1
## D 0.925926 0.063492 0.010582
## R 0.000000 0.008439 0.991561
##
## numeric_vote39
## votes[, 1] -1 0 1
## D 0.89947 0.05820 0.04233
## R 0.00000 0.02532 0.97468
##
## numeric_vote40
## votes[, 1] -1 0 1
## D 0.894180 0.063492 0.042328
## R 0.012658 0.008439 0.978903
##
## numeric_vote41
## votes[, 1] -1 0 1
## D 0.39683 0.01587 0.58730
## R 0.62025 0.00000 0.37975
##
## numeric_vote42
## votes[, 1] -1 0 1
## D 0.978836 0.015873 0.005291
## R 0.713080 0.000000 0.286920
##
## numeric_vote43
## votes[, 1] -1 0 1
## D 0.53439 0.01058 0.45503
## R 0.93249 0.00000 0.06751
##
## numeric_vote44
## votes[, 1] -1 0 1
## D 0.957672 0.015873 0.026455
## R 0.565401 0.004219 0.430380
##
## numeric_vote45
## votes[, 1] -1 0 1
## D 0.88889 0.01587 0.09524
## R 0.01688 0.00000 0.98312
##
## numeric_vote46
## votes[, 1] -1 0 1
## D 0.35979 0.01058 0.62963
## R 0.54008 0.00000 0.45992
##
## numeric_vote47
## votes[, 1] -1 0 1
## D 0.476190 0.010582 0.513228
## R 0.848101 0.008439 0.143460
##
## numeric_vote48
## votes[, 1] -1 0 1
## D 0.391534 0.005291 0.603175
## R 0.932489 0.000000 0.067511
##
## numeric_vote49
## votes[, 1] -1 0 1
## D 0.338624 0.005291 0.656085
## R 0.962025 0.000000 0.037975
##
## numeric_vote50
## votes[, 1] -1 0 1
## D 0.164021 0.005291 0.830688
## R 0.396624 0.000000 0.603376
##
## numeric_vote51
## votes[, 1] -1 0 1
## D 0.761905 0.005291 0.232804
## R 0.088608 0.004219 0.907173
##
## numeric_vote52
## votes[, 1] -1 0 1
## D 0.851852 0.005291 0.142857
## R 0.345992 0.004219 0.649789
##
## numeric_vote53
## votes[, 1] -1 0 1
## D 0.169312 0.005291 0.825397
## R 0.708861 0.004219 0.286920
##
## numeric_vote54
## votes[, 1] -1 0 1
## D 0.989418 0.005291 0.005291
## R 0.282700 0.008439 0.708861
##
## numeric_vote55
## votes[, 1] -1 0 1
## D 0.968254 0.005291 0.026455
## R 0.316456 0.000000 0.683544
##
## numeric_vote56
## votes[, 1] -1 0 1
## D 0.243386 0.005291 0.751323
## R 0.945148 0.000000 0.054852
##
## numeric_vote57
## votes[, 1] -1 0 1
## D 0.03175 0.01058 0.95767
## R 0.90717 0.00000 0.09283
##
## numeric_vote58
## votes[, 1] -1 0 1
## D 0.984127 0.005291 0.010582
## R 0.430380 0.008439 0.561181
##
## numeric_vote59
## votes[, 1] -1 0 1
## D 0.54497 0.01058 0.44444
## R 0.81857 0.00000 0.18143
##
## numeric_vote60
## votes[, 1] -1 0 1
## D 0.031746 0.005291 0.962963
## R 0.447257 0.004219 0.548523
##
## numeric_vote61
## votes[, 1] -1 0 1
## D 0.957672 0.015873 0.026455
## R 0.130802 0.004219 0.864979
##
## numeric_vote62
## votes[, 1] -1 0 1
## D 0.68783 0.02116 0.29101
## R 0.91561 0.01688 0.06751
##
## numeric_vote63
## votes[, 1] -1 0 1
## D 0.941799 0.010582 0.047619
## R 0.198312 0.008439 0.793249
##
## numeric_vote64
## votes[, 1] -1 0 1
## D 0.91005 0.03175 0.05820
## R 0.03376 0.01266 0.95359
##
## numeric_vote65
## votes[, 1] -1 0 1
## D 0.94180 0.01058 0.04762
## R 0.08861 0.00000 0.91139
##
## numeric_vote66
## votes[, 1] -1 0 1
## D 0.60317 0.04233 0.35450
## R 0.10127 0.01266 0.88608
##
## numeric_vote67
## votes[, 1] -1 0 1
## D 0.962963 0.021164 0.015873
## R 0.295359 0.008439 0.696203
##
## numeric_vote68
## votes[, 1] -1 0 1
## D 0.96825 0.01587 0.01587
## R 0.09283 0.01688 0.89030
##
## numeric_vote69
## votes[, 1] -1 0 1
## D 0.85185 0.02116 0.12698
## R 0.05485 0.01688 0.92827
##
## numeric_vote70
## votes[, 1] -1 0 1
## D 0.91005 0.01058 0.07937
## R 0.04219 0.02532 0.93249
##
## numeric_vote71
## votes[, 1] -1 0 1
## D 0.89418 0.01587 0.08995
## R 0.62447 0.01688 0.35865
##
## numeric_vote72
## votes[, 1] -1 0 1
## D 0.994709 0.005291 0.000000
## R 0.518987 0.004219 0.476793
##
## numeric_vote73
## votes[, 1] -1 0 1
## D 0.91005 0.01058 0.07937
## R 0.02110 0.01266 0.96624
##
## numeric_vote74
## votes[, 1] -1 0 1
## D 0.105820 0.005291 0.888889
## R 0.396624 0.008439 0.594937
##
## numeric_vote75
## votes[, 1] -1 0 1
## D 0.98942 0.01058 0.00000
## R 0.24895 0.01688 0.73418
##
## numeric_vote76
## votes[, 1] -1 0 1
## D 0.777778 0.005291 0.216931
## R 0.054852 0.004219 0.940928
##
## numeric_vote77
## votes[, 1] -1 0 1
## D 0.767196 0.005291 0.227513
## R 0.029536 0.012658 0.957806
##
## numeric_vote78
## votes[, 1] -1 0 1
## D 0.947090 0.005291 0.047619
## R 0.248945 0.004219 0.746835
##
## numeric_vote79
## votes[, 1] -1 0 1
## D 0.98413 0.01587 0.00000
## R 0.24895 0.01688 0.73418
##
## numeric_vote80
## votes[, 1] -1 0 1
## D 0.55026 0.01587 0.43386
## R 0.97468 0.00000 0.02532
##
## numeric_vote81
## votes[, 1] -1 0 1
## D 0.904762 0.031746 0.063492
## R 0.004219 0.021097 0.974684
##
## numeric_vote82
## votes[, 1] -1 0 1
## D 0.01587 0.01058 0.97354
## R 0.64979 0.02110 0.32911
##
## numeric_vote83
## votes[, 1] -1 0 1
## D 0.915344 0.031746 0.052910
## R 0.016878 0.008439 0.974684
##
## numeric_vote84
## votes[, 1] -1 0 1
## D 0.751323 0.010582 0.238095
## R 0.628692 0.008439 0.362869
##
## numeric_vote85
## votes[, 1] -1 0 1
## D 0.957672 0.015873 0.026455
## R 0.046414 0.004219 0.949367
##
## numeric_vote86
## votes[, 1] -1 0 1
## D 0.878307 0.021164 0.100529
## R 0.029536 0.008439 0.962025
##
## numeric_vote87
## votes[, 1] -1 0 1
## D 0.925926 0.010582 0.063492
## R 0.004219 0.012658 0.983122
##
## numeric_vote88
## votes[, 1] -1 0 1
## D 0.190476 0.010582 0.798942
## R 0.974684 0.004219 0.021097
##
## numeric_vote89
## votes[, 1] -1 0 1
## D 0.158730 0.010582 0.830688
## R 0.978903 0.012658 0.008439
##
## numeric_vote90
## votes[, 1] -1 0 1
## D 0.380952 0.015873 0.603175
## R 0.873418 0.004219 0.122363
##
## numeric_vote91
## votes[, 1] -1 0 1
## D 0.513228 0.015873 0.470899
## R 0.966245 0.004219 0.029536
##
## numeric_vote92
## votes[, 1] -1 0 1
## D 0.67725 0.01587 0.30688
## R 0.01688 0.02110 0.96203
##
## numeric_vote93
## votes[, 1] -1 0 1
## D 0.92063 0.02646 0.05291
## R 0.02954 0.01266 0.95781
##
## numeric_vote94
## votes[, 1] -1 0 1
## D 0.910053 0.021164 0.068783
## R 0.037975 0.004219 0.957806
##
## numeric_vote95
## votes[, 1] -1 0 1
## D 0.132275 0.021164 0.846561
## R 0.864979 0.008439 0.126582
##
## numeric_vote96
## votes[, 1] -1 0 1
## D 0.904762 0.026455 0.068783
## R 0.008439 0.008439 0.983122
##
## numeric_vote97
## votes[, 1] -1 0 1
## D 0.957672 0.026455 0.015873
## R 0.008439 0.008439 0.983122
##
## numeric_vote98
## votes[, 1] -1 0 1
## D 0.968254 0.015873 0.015873
## R 0.000000 0.008439 0.991561
##
## numeric_vote99
## votes[, 1] -1 0 1
## D 0.968254 0.015873 0.015873
## R 0.016878 0.008439 0.974684
##
## numeric_vote100
## votes[, 1] -1 0 1
## D 0.941799 0.015873 0.042328
## R 0.000000 0.008439 0.991561
##
## numeric_vote101
## votes[, 1] -1 0 1
## D 0.433862 0.015873 0.550265
## R 0.687764 0.004219 0.308017
##
## numeric_vote102
## votes[, 1] -1 0 1
## D 0.417989 0.015873 0.566138
## R 0.949367 0.004219 0.046414
##
## numeric_vote103
## votes[, 1] -1 0 1
## D 0.978836 0.021164 0.000000
## R 0.388186 0.004219 0.607595
##
## numeric_vote104
## votes[, 1] -1 0 1
## D 0.23810 0.02116 0.74074
## R 0.93249 0.01266 0.05485
##
## numeric_vote105
## votes[, 1] -1 0 1
## D 0.74074 0.02116 0.23810
## R 0.89873 0.01266 0.08861
##
## numeric_vote106
## votes[, 1] -1 0 1
## D 0.90476 0.02646 0.06878
## R 0.72996 0.02110 0.24895
##
## numeric_vote107
## votes[, 1] -1 0 1
## D 0.93651 0.03175 0.03175
## R 0.26160 0.02532 0.71308
##
## numeric_vote108
## votes[, 1] -1 0 1
## D 0.55026 0.02116 0.42857
## R 0.97468 0.01266 0.01266
##
## numeric_vote109
## votes[, 1] -1 0 1
## D 0.13228 0.02116 0.84656
## R 0.94515 0.01266 0.04219
##
## numeric_vote110
## votes[, 1] -1 0 1
## D 0.962963 0.021164 0.015873
## R 0.000000 0.008439 0.991561
##
## numeric_vote111
## votes[, 1] -1 0 1
## D 0.947090 0.026455 0.026455
## R 0.113924 0.008439 0.877637
##
## numeric_vote112
## votes[, 1] -1 0 1
## D 0.624339 0.031746 0.343915
## R 0.886076 0.008439 0.105485
##
## numeric_vote113
## votes[, 1] -1 0 1
## D 0.93122 0.02646 0.04233
## R 0.07173 0.01266 0.91561
##
## numeric_vote114
## votes[, 1] -1 0 1
## D 0.285714 0.021164 0.693122
## R 0.784810 0.008439 0.206751
##
## numeric_vote115
## votes[, 1] -1 0 1
## D 0.767196 0.021164 0.211640
## R 0.008439 0.008439 0.983122
##
## numeric_vote116
## votes[, 1] -1 0 1
## D 0.76190 0.02116 0.21693
## R 0.16456 0.01266 0.82278
##
## numeric_vote117
## votes[, 1] -1 0 1
## D 0.841270 0.021164 0.137566
## R 0.966245 0.008439 0.025316
##
## numeric_vote118
## votes[, 1] -1 0 1
## D 0.62434 0.02116 0.35450
## R 0.96624 0.01266 0.02110
##
## numeric_vote119
## votes[, 1] -1 0 1
## D 0.92063 0.02116 0.05820
## R 0.03376 0.01266 0.95359
##
## numeric_vote120
## votes[, 1] -1 0 1
## D 0.93651 0.02116 0.04233
## R 0.05907 0.01266 0.92827
##
## numeric_vote121
## votes[, 1] -1 0 1
## D 0.952381 0.021164 0.026455
## R 0.004219 0.012658 0.983122
##
## numeric_vote122
## votes[, 1] -1 0 1
## D 0.97884 0.02116 0.00000
## R 0.72574 0.01266 0.26160
##
## numeric_vote123
## votes[, 1] -1 0 1
## D 0.894180 0.021164 0.084656
## R 0.067511 0.008439 0.924051
##
## numeric_vote124
## votes[, 1] -1 0 1
## D 0.88360 0.03175 0.08466
## R 0.08861 0.01688 0.89451
##
## numeric_vote125
## votes[, 1] -1 0 1
## D 0.55556 0.04762 0.39683
## R 0.21941 0.01688 0.76371
##
## numeric_vote126
## votes[, 1] -1 0 1
## D 0.95767 0.04233 0.00000
## R 0.10970 0.01688 0.87342
##
## numeric_vote127
## votes[, 1] -1 0 1
## D 0.92593 0.04233 0.03175
## R 0.03797 0.01688 0.94515
##
## numeric_vote128
## votes[, 1] -1 0 1
## D 0.59788 0.04233 0.35979
## R 0.95781 0.01688 0.02532
##
## numeric_vote129
## votes[, 1] -1 0 1
## D 0.91005 0.04762 0.04233
## R 0.03797 0.01266 0.94937
##
## numeric_vote130
## votes[, 1] -1 0 1
## D 0.68254 0.05291 0.26455
## R 0.11814 0.01688 0.86498
##
## numeric_vote131
## votes[, 1] -1 0 1
## D 0.867725 0.047619 0.084656
## R 0.037975 0.008439 0.953586
##
## numeric_vote132
## votes[, 1] -1 0 1
## D 0.915344 0.037037 0.047619
## R 0.012658 0.008439 0.978903
##
## numeric_vote133
## votes[, 1] -1 0 1
## D 0.957672 0.037037 0.005291
## R 0.194093 0.016878 0.789030
##
## numeric_vote134
## votes[, 1] -1 0 1
## D 0.54497 0.04233 0.41270
## R 0.13080 0.01266 0.85654
##
## numeric_vote135
## votes[, 1] -1 0 1
## D 0.87302 0.03704 0.08995
## R 0.05485 0.01266 0.93249
##
## numeric_vote136
## votes[, 1] -1 0 1
## D 0.857143 0.042328 0.100529
## R 0.071730 0.008439 0.919831
##
## numeric_vote137
## votes[, 1] -1 0 1
## D 0.92063 0.04233 0.03704
## R 0.03797 0.01266 0.94937
##
## numeric_vote138
## votes[, 1] -1 0 1
## D 0.941799 0.037037 0.021164
## R 0.004219 0.016878 0.978903
##
## numeric_vote139
## votes[, 1] -1 0 1
## D 0.931217 0.042328 0.026455
## R 0.139241 0.008439 0.852321
##
## numeric_vote140
## votes[, 1] -1 0 1
## D 0.851852 0.037037 0.111111
## R 0.016878 0.008439 0.974684
##
## numeric_vote141
## votes[, 1] -1 0 1
## D 0.941799 0.037037 0.021164
## R 0.008439 0.012658 0.978903
##
## numeric_vote142
## votes[, 1] -1 0 1
## D 0.42857 0.03704 0.53439
## R 0.91561 0.01688 0.06751
##
## numeric_vote143
## votes[, 1] -1 0 1
## D 0.95767 0.04233 0.00000
## R 0.60338 0.01266 0.38397
##
## numeric_vote144
## votes[, 1] -1 0 1
## D 0.96296 0.03704 0.00000
## R 0.19831 0.01266 0.78903
##
## numeric_vote145
## votes[, 1] -1 0 1
## D 0.962963 0.037037 0.000000
## R 0.008439 0.012658 0.978903
##
## numeric_vote146
## votes[, 1] -1 0 1
## D 0.000000 0.031746 0.968254
## R 0.991561 0.008439 0.000000
##
## numeric_vote147
## votes[, 1] -1 0 1
## D 0.968254 0.031746 0.000000
## R 0.012658 0.008439 0.978903
##
## numeric_vote148
## votes[, 1] 0 1
## D 0.07937 0.92063
## R 0.05907 0.94093
##
## numeric_vote149
## votes[, 1] -1 0 1
## D 0.00000 0.07937 0.92063
## R 0.01266 0.05907 0.92827
##
## numeric_vote150
## votes[, 1] -1 0 1
## D 0.00000 0.07937 0.92063
## R 0.01688 0.06329 0.91983
##
## numeric_vote151
## votes[, 1] -1 0 1
## D 0.93122 0.03175 0.03704
## R 0.00000 0.02532 0.97468
##
## numeric_vote152
## votes[, 1] -1 0 1
## D 0.88360 0.03704 0.07937
## R 0.00000 0.01688 0.98312
##
## numeric_vote153
## votes[, 1] -1 0 1
## D 0.06878 0.01587 0.91534
## R 0.98312 0.01688 0.00000
##
## numeric_vote154
## votes[, 1] -1 0 1
## D 0.44444 0.01587 0.53968
## R 0.02532 0.01266 0.96203
##
## numeric_vote155
## votes[, 1] -1 0 1
## D 0.883598 0.026455 0.089947
## R 0.000000 0.008439 0.991561
##
## numeric_vote156
## votes[, 1] -1 0 1
## D 0.962963 0.015873 0.021164
## R 0.000000 0.004219 0.995781
##
## numeric_vote157
## votes[, 1] -1 0 1
## D 0.910053 0.015873 0.074074
## R 0.000000 0.008439 0.991561
##
## numeric_vote158
## votes[, 1] 0 1
## D 0.03175 0.96825
## R 0.01688 0.98312
##
## numeric_vote159
## votes[, 1] -1 0 1
## D 0.037037 0.015873 0.947090
## R 0.995781 0.004219 0.000000
##
## numeric_vote160
## votes[, 1] -1 0 1
## D 0.005291 0.010582 0.984127
## R 0.012658 0.021097 0.966245
##
## numeric_vote161
## votes[, 1] -1 0 1
## D 0.947090 0.031746 0.021164
## R 0.000000 0.008439 0.991561
##
## numeric_vote162
## votes[, 1] -1 0 1
## D 0.587302 0.021164 0.391534
## R 0.000000 0.008439 0.991561
##
## numeric_vote163
## votes[, 1] -1 0 1
## D 0.00000 0.06349 0.93651
## R 0.05063 0.02954 0.91983
##
## numeric_vote164
## votes[, 1] -1 0 1
## D 0.00000 0.03704 0.96296
## R 0.57384 0.02954 0.39662
##
## numeric_vote165
## votes[, 1] -1 0 1
## D 0.968254 0.026455 0.005291
## R 0.000000 0.025316 0.974684
##
## numeric_vote166
## votes[, 1] -1 0 1
## D 0.93651 0.01587 0.04762
## R 0.00000 0.03797 0.96203
##
## numeric_vote167
## votes[, 1] -1 0 1
## D 0.36508 0.01587 0.61905
## R 0.07595 0.05063 0.87342
##
## numeric_vote168
## votes[, 1] -1 0 1
## D 0.031746 0.015873 0.952381
## R 0.987342 0.008439 0.004219
##
## numeric_vote169
## votes[, 1] -1 0 1
## D 0.04762 0.01587 0.93651
## R 0.57806 0.01688 0.40506
##
## numeric_vote170
## votes[, 1] -1 0 1
## D 0.021164 0.015873 0.962963
## R 0.995781 0.004219 0.000000
##
## numeric_vote171
## votes[, 1] -1 0 1
## D 0.883598 0.021164 0.095238
## R 0.004219 0.004219 0.991561
##
## numeric_vote172
## votes[, 1] -1 0 1
## D 0.04762 0.03175 0.92063
## R 0.94937 0.01266 0.03797
##
## numeric_vote173
## votes[, 1] -1 0 1
## D 0.000000 0.058201 0.941799
## R 0.991561 0.004219 0.004219
##
## numeric_vote174
## votes[, 1] -1 0 1
## D 0.910053 0.047619 0.042328
## R 0.008439 0.016878 0.974684
##
## numeric_vote175
## votes[, 1] 0 1
## D 0.13228 0.86772
## R 0.05063 0.94937
##
## numeric_vote176
## votes[, 1] 0 1
## D 0.12169 0.87831
## R 0.05063 0.94937
##
## numeric_vote177
## votes[, 1] -1 0 1
## D 0.94180 0.03175 0.02646
## R 0.00000 0.01688 0.98312
##
## numeric_vote178
## votes[, 1] -1 0 1
## D 0.000000 0.015873 0.984127
## R 0.995781 0.000000 0.004219
##
## numeric_vote179
## votes[, 1] -1 0 1
## D 0.54497 0.01587 0.43915
## R 0.22363 0.00000 0.77637
##
## numeric_vote180
## votes[, 1] -1 0 1
## D 0.957672 0.010582 0.031746
## R 0.050633 0.004219 0.945148
##
## numeric_vote181
## votes[, 1] -1 0 1
## D 0.936508 0.047619 0.015873
## R 0.000000 0.008439 0.991561
##
## numeric_vote182
## votes[, 1] -1 0 1
## D 0.02116 0.02646 0.95238
## R 0.98312 0.01688 0.00000
##
## numeric_vote183
## votes[, 1] -1 0 1
## D 0.026455 0.021164 0.952381
## R 0.995781 0.004219 0.000000
##
## numeric_vote184
## votes[, 1] -1 0 1
## D 0.068783 0.037037 0.894180
## R 0.978903 0.012658 0.008439
##
## numeric_vote185
## votes[, 1] -1 0 1
## D 0.058201 0.021164 0.920635
## R 0.991561 0.004219 0.004219
##
## numeric_vote186
## votes[, 1] -1 0 1
## D 0.04762 0.02116 0.93122
## R 0.98734 0.01266 0.00000
##
## numeric_vote187
## votes[, 1] -1 0 1
## D 0.174603 0.026455 0.798942
## R 0.991561 0.008439 0.000000
##
## numeric_vote188
## votes[, 1] -1 0 1
## D 0.936508 0.037037 0.026455
## R 0.008439 0.004219 0.987342
##
## numeric_vote189
## votes[, 1] -1 0 1
## D 0.931217 0.063492 0.005291
## R 0.000000 0.033755 0.966245
##
## numeric_vote190
## votes[, 1] -1 0 1
## D 0.941799 0.052910 0.005291
## R 0.000000 0.021097 0.978903
##
## numeric_vote191
## votes[, 1] -1 0 1
## D 0.00000 0.04233 0.95767
## R 0.97890 0.02110 0.00000
##
## numeric_vote192
## votes[, 1] -1 0 1
## D 0.96296 0.03704 0.00000
## R 0.02954 0.02110 0.94937
##
## numeric_vote193
## votes[, 1] -1 0 1
## D 0.51852 0.04233 0.43915
## R 0.92405 0.04219 0.03376
##
## numeric_vote194
## votes[, 1] -1 0 1
## D 0.873016 0.063492 0.063492
## R 0.008439 0.012658 0.978903
##
## numeric_vote195
## votes[, 1] -1 0 1
## D 0.03175 0.04233 0.92593
## R 0.97046 0.01266 0.01688
##
## numeric_vote196
## votes[, 1] -1 0 1
## D 0.079365 0.026455 0.894180
## R 0.974684 0.021097 0.004219
##
## numeric_vote197
## votes[, 1] -1 0 1
## D 0.015873 0.026455 0.957672
## R 0.978903 0.016878 0.004219
##
## numeric_vote198
## votes[, 1] -1 0 1
## D 0.878307 0.031746 0.089947
## R 0.008439 0.016878 0.974684
##
## numeric_vote199
## votes[, 1] -1 0 1
## D 0.947090 0.047619 0.005291
## R 0.000000 0.016878 0.983122
##
## numeric_vote200
## votes[, 1] -1 0 1
## D 0.92593 0.06349 0.01058
## R 0.00000 0.02532 0.97468
##
## numeric_vote201
## votes[, 1] -1 0 1
## D 0.39683 0.04762 0.55556
## R 0.11392 0.02954 0.85654
##
## numeric_vote202
## votes[, 1] -1 0 1
## D 0.03704 0.02116 0.94180
## R 0.95781 0.02532 0.01688
##
## numeric_vote203
## votes[, 1] -1 0 1
## D 0.01587 0.02116 0.96296
## R 0.97890 0.02110 0.00000
##
## numeric_vote204
## votes[, 1] -1 0 1
## D 0.968254 0.026455 0.005291
## R 0.037975 0.029536 0.932489
##
## numeric_vote205
## votes[, 1] -1 0 1
## D 0.89418 0.03704 0.06878
## R 0.00000 0.02110 0.97890
##
## numeric_vote206
## votes[, 1] -1 0 1
## D 0.68254 0.02646 0.29101
## R 0.00000 0.02110 0.97890
##
## numeric_vote207
## votes[, 1] -1 0 1
## D 0.87302 0.04233 0.08466
## R 0.00000 0.02110 0.97890
##
## numeric_vote208
## votes[, 1] -1 0 1
## D 0.46561 0.02116 0.51323
## R 0.88608 0.02110 0.09283
##
## numeric_vote209
## votes[, 1] -1 0 1
## D 0.17460 0.01587 0.80952
## R 0.95359 0.02110 0.02532
##
## numeric_vote210
## votes[, 1] -1 0 1
## D 0.068783 0.037037 0.894180
## R 0.949367 0.042194 0.008439
##
## numeric_vote211
## votes[, 1] -1 0 1
## D 0.07407 0.01587 0.91005
## R 0.91983 0.02954 0.05063
##
## numeric_vote212
## votes[, 1] -1 0 1
## D 0.96825 0.01587 0.01587
## R 0.16878 0.02954 0.80169
##
## numeric_vote213
## votes[, 1] -1 0 1
## D 0.89418 0.10582 0.00000
## R 0.00000 0.08861 0.91139
##
## numeric_vote214
## votes[, 1] -1 0 1
## D 0.92593 0.02116 0.05291
## R 0.15612 0.02110 0.82278
##
## numeric_vote215
## votes[, 1] -1 0 1
## D 0.08995 0.02116 0.88889
## R 0.94093 0.02954 0.02954
##
## numeric_vote216
## votes[, 1] -1 0 1
## D 0.97354 0.02646 0.00000
## R 0.21097 0.02532 0.76371
##
## numeric_vote217
## votes[, 1] -1 0 1
## D 0.00000 0.01058 0.98942
## R 0.91561 0.01688 0.06751
##
## numeric_vote218
## votes[, 1] -1 0 1
## D 0.95767 0.01058 0.03175
## R 0.10549 0.02532 0.86920
##
## numeric_vote219
## votes[, 1] -1 0 1
## D 0.005291 0.037037 0.957672
## R 0.974684 0.025316 0.000000
##
## numeric_vote220
## votes[, 1] -1 0 1
## D 0.96296 0.02646 0.01058
## R 0.04641 0.03376 0.91983
##
## numeric_vote221
## votes[, 1] -1 0 1
## D 0.97354 0.02646 0.00000
## R 0.00000 0.03797 0.96203
##
## numeric_vote222
## votes[, 1] -1 0 1
## D 0.968254 0.031746 0.000000
## R 0.004219 0.037975 0.957806
##
## numeric_vote223
## votes[, 1] -1 0 1
## D 0.005291 0.021164 0.973545
## R 0.983122 0.012658 0.004219
##
## numeric_vote224
## votes[, 1] -1 0 1
## D 0.97354 0.02646 0.00000
## R 0.06329 0.01688 0.91983
##
## numeric_vote225
## votes[, 1] 0 1
## D 0.13228 0.86772
## R 0.05907 0.94093
##
## numeric_vote226
## votes[, 1] -1 0 1
## D 0.910053 0.074074 0.015873
## R 0.000000 0.008439 0.991561
##
## numeric_vote227
## votes[, 1] -1 0 1
## D 0.92593 0.04762 0.02646
## R 0.00000 0.01688 0.98312
##
## numeric_vote228
## votes[, 1] -1 0 1
## D 0.35979 0.05820 0.58201
## R 0.13080 0.02954 0.83966
##
## numeric_vote229
## votes[, 1] -1 0 1
## D 0.73016 0.07937 0.19048
## R 0.94093 0.05907 0.00000
##
## numeric_vote230
## votes[, 1] -1 0 1
## D 0.820106 0.031746 0.148148
## R 0.000000 0.008439 0.991561
##
## numeric_vote231
## votes[, 1] -1 0 1
## D 0.894180 0.042328 0.063492
## R 0.000000 0.008439 0.991561
##
## numeric_vote232
## votes[, 1] -1 0 1
## D 0.34921 0.03704 0.61376
## R 0.11392 0.02532 0.86076
##
## numeric_vote233
## votes[, 1] -1 0 1
## D 0.111111 0.052910 0.835979
## R 0.991561 0.008439 0.000000
##
## numeric_vote234
## votes[, 1] -1 0 1
## D 0.142857 0.042328 0.814815
## R 0.995781 0.004219 0.000000
##
## numeric_vote235
## votes[, 1] -1 0 1
## D 0.037037 0.042328 0.920635
## R 0.970464 0.008439 0.021097
##
## numeric_vote236
## votes[, 1] -1 0 1
## D 0.015873 0.031746 0.952381
## R 0.987342 0.008439 0.004219
##
## numeric_vote237
## votes[, 1] -1 0 1
## D 0.100529 0.031746 0.867725
## R 0.991561 0.004219 0.004219
##
## numeric_vote238
## votes[, 1] -1 0 1
## D 0.148148 0.042328 0.809524
## R 0.991561 0.008439 0.000000
##
## numeric_vote239
## votes[, 1] -1 0 1
## D 0.111111 0.031746 0.857143
## R 0.995781 0.004219 0.000000
##
## numeric_vote240
## votes[, 1] -1 0 1
## D 0.074074 0.031746 0.894180
## R 0.983122 0.012658 0.004219
##
## numeric_vote241
## votes[, 1] -1 0 1
## D 0.132275 0.037037 0.830688
## R 0.991561 0.004219 0.004219
##
## numeric_vote242
## votes[, 1] -1 0 1
## D 0.96296 0.02646 0.01058
## R 0.00000 0.01688 0.98312
##
## numeric_vote243
## votes[, 1] -1 0 1
## D 0.98413 0.01587 0.00000
## R 0.00000 0.05063 0.94937
##
## numeric_vote244
## votes[, 1] -1 0 1
## D 0.43386 0.02116 0.54497
## R 0.10970 0.03376 0.85654
##
## numeric_vote245
## votes[, 1] -1 0 1
## D 0.97354 0.02646 0.00000
## R 0.00000 0.01266 0.98734
##
## numeric_vote246
## votes[, 1] -1 0 1
## D 0.000000 0.010582 0.989418
## R 0.983122 0.012658 0.004219
##
## numeric_vote247
## votes[, 1] -1 0 1
## D 0.910053 0.010582 0.079365
## R 0.025316 0.008439 0.966245
##
## numeric_vote248
## votes[, 1] -1 0 1
## D 0.07407 0.01587 0.91005
## R 0.98734 0.01266 0.00000
##
## numeric_vote249
## votes[, 1] -1 0 1
## D 0.894180 0.005291 0.100529
## R 0.000000 0.016878 0.983122
##
## numeric_vote250
## votes[, 1] -1 0 1
## D 0.90476 0.07407 0.02116
## R 0.00000 0.02532 0.97468
##
## numeric_vote251
## votes[, 1] -1 0 1
## D 0.9418 0.0582 0.0000
## R 0.0000 0.0211 0.9789
##
## numeric_vote252
## votes[, 1] -1 0 1
## D 0.920635 0.047619 0.031746
## R 0.008439 0.016878 0.974684
##
## numeric_vote253
## votes[, 1] -1 0 1
## D 0.21693 0.05291 0.73016
## R 0.11814 0.01688 0.86498
##
## numeric_vote254
## votes[, 1] -1 0 1
## D 0.074074 0.058201 0.867725
## R 0.008439 0.037975 0.953586
##
## numeric_vote255
## votes[, 1] -1 0 1
## D 0.005291 0.052910 0.941799
## R 0.008439 0.046414 0.945148
##
## numeric_vote256
## votes[, 1] -1 0 1
## D 0.22222 0.06878 0.70899
## R 0.13502 0.06329 0.80169
##
## numeric_vote257
## votes[, 1] -1 0 1
## D 0.94709 0.04233 0.01058
## R 0.00000 0.01688 0.98312
##
## numeric_vote258
## votes[, 1] -1 0 1
## D 0.93651 0.04233 0.02116
## R 0.00000 0.02954 0.97046
##
## numeric_vote259
## votes[, 1] -1 0 1
## D 0.95238 0.02116 0.02646
## R 0.00000 0.01266 0.98734
##
## numeric_vote260
## votes[, 1] -1 0 1
## D 0.93122 0.04233 0.02646
## R 0.00000 0.01688 0.98312
##
## numeric_vote261
## votes[, 1] -1 0 1
## D 0.005291 0.026455 0.968254
## R 0.983122 0.012658 0.004219
##
## numeric_vote262
## votes[, 1] -1 0 1
## D 0.010582 0.010582 0.978836
## R 0.978903 0.016878 0.004219
##
## numeric_vote263
## votes[, 1] -1 0 1
## D 0.00000 0.01587 0.98413
## R 0.97468 0.02532 0.00000
##
## numeric_vote264
## votes[, 1] -1 0 1
## D 0.95238 0.02646 0.02116
## R 0.00000 0.02954 0.97046
##
## numeric_vote265
## votes[, 1] -1 0 1
## D 0.95238 0.03704 0.01058
## R 0.00000 0.01688 0.98312
##
## numeric_vote266
## votes[, 1] -1 0 1
## D 0.941799 0.031746 0.026455
## R 0.000000 0.008439 0.991561
##
## numeric_vote267
## votes[, 1] -1 0 1
## D 0.32804 0.04233 0.62963
## R 0.16456 0.02954 0.80591
##
## numeric_vote268
## votes[, 1] -1 0 1
## D 0.56085 0.01587 0.42328
## R 0.24473 0.01266 0.74262
##
## numeric_vote269
## votes[, 1] -1 0 1
## D 0.87831 0.03175 0.08995
## R 0.03376 0.02110 0.94515
##
## numeric_vote270
## votes[, 1] -1 0 1
## D 0.96296 0.02116 0.01587
## R 0.00000 0.01266 0.98734
##
## numeric_vote271
## votes[, 1] -1 0 1
## D 0.925926 0.021164 0.052910
## R 0.029536 0.008439 0.962025
##
## numeric_vote272
## votes[, 1] -1 0 1
## D 0.93122 0.02646 0.04233
## R 0.97468 0.01266 0.01266
##
## numeric_vote273
## votes[, 1] -1 0 1
## D 0.38095 0.07407 0.54497
## R 0.94937 0.05063 0.00000
##
## numeric_vote274
## votes[, 1] -1 0 1
## D 0.560847 0.037037 0.402116
## R 0.995781 0.004219 0.000000
##
## numeric_vote275
## votes[, 1] -1 0 1
## D 0.084656 0.915344 0.000000
## R 0.497890 0.004219 0.497890
##
## numeric_vote276
## votes[, 1] -1 0 1
## D 0.11640 0.01587 0.86772
## R 0.98312 0.01688 0.00000
##
## numeric_vote277
## votes[, 1] -1 0 1
## D 0.984127 0.015873 0.000000
## R 0.016878 0.004219 0.978903
##
## numeric_vote278
## votes[, 1] 0 1
## D 0.08995 0.91005
## R 0.06329 0.93671
##
## numeric_vote279
## votes[, 1] -1 0 1
## D 0.96296 0.02116 0.01587
## R 0.00000 0.03376 0.96624
##
## numeric_vote280
## votes[, 1] -1 0 1
## D 0.96296 0.01587 0.02116
## R 0.00000 0.02532 0.97468
##
## numeric_vote281
## votes[, 1] -1 0 1
## D 0.05820 0.04233 0.89947
## R 0.94937 0.03376 0.01688
##
## numeric_vote282
## votes[, 1] -1 0 1
## D 0.05820 0.01587 0.92593
## R 0.96203 0.03797 0.00000
##
## numeric_vote283
## votes[, 1] -1 0 1
## D 0.04233 0.02116 0.93651
## R 0.97468 0.02532 0.00000
##
## numeric_vote284
## votes[, 1] -1 0 1
## D 0.005291 0.010582 0.984127
## R 0.966245 0.029536 0.004219
##
## numeric_vote285
## votes[, 1] -1 0 1
## D 0.95238 0.02116 0.02646
## R 0.00000 0.02954 0.97046
##
## numeric_vote286
## votes[, 1] -1 0 1
## D 0.92063 0.01587 0.06349
## R 0.00000 0.03797 0.96203
##
## numeric_vote287
## votes[, 1] -1 0 1
## D 0.04762 0.01058 0.94180
## R 0.87764 0.02110 0.10127
##
## numeric_vote288
## votes[, 1] -1 0 1
## D 0.04233 0.03175 0.92593
## R 0.84810 0.04219 0.10970
##
## numeric_vote289
## votes[, 1] -1 0 1
## D 0.04233 0.02116 0.93651
## R 0.92827 0.07173 0.00000
##
## numeric_vote290
## votes[, 1] -1 0 1
## D 0.97354 0.01058 0.01587
## R 0.01688 0.01688 0.96624
##
## numeric_vote291
## votes[, 1] -1 0 1
## D 0.000000 0.005291 0.994709
## R 0.978903 0.016878 0.004219
##
## numeric_vote292
## votes[, 1] -1 0 1
## D 0.910053 0.005291 0.084656
## R 0.000000 0.021097 0.978903
##
## numeric_vote293
## votes[, 1] -1 0 1
## D 0.89418 0.06878 0.03704
## R 0.00000 0.02532 0.97468
##
## numeric_vote294
## votes[, 1] -1 0 1
## D 0.87302 0.06878 0.05820
## R 0.00000 0.02532 0.97468
##
## numeric_vote295
## votes[, 1] -1 0 1
## D 0.07407 0.05820 0.86772
## R 0.94515 0.02532 0.02954
##
## numeric_vote296
## votes[, 1] -1 0 1
## D 0.04762 0.05820 0.89418
## R 0.96203 0.01688 0.02110
##
## numeric_vote297
## votes[, 1] -1 0 1
## D 0.021164 0.089947 0.888889
## R 0.974684 0.021097 0.004219
##
## numeric_vote298
## votes[, 1] -1 0 1
## D 0.767196 0.058201 0.174603
## R 0.008439 0.021097 0.970464
##
## numeric_vote299
## votes[, 1] -1 0 1
## D 0.07937 0.06878 0.85185
## R 0.96203 0.02532 0.01266
##
## numeric_vote300
## votes[, 1] -1 0 1
## D 0.08466 0.06878 0.84656
## R 0.93671 0.03797 0.02532
##
## numeric_vote301
## votes[, 1] -1 0 1
## D 0.07937 0.06349 0.85714
## R 0.93249 0.02532 0.04219
##
## numeric_vote302
## votes[, 1] -1 0 1
## D 0.05820 0.02116 0.92063
## R 0.94093 0.02110 0.03797
##
## numeric_vote303
## votes[, 1] -1 0 1
## D 0.074074 0.005291 0.920635
## R 0.974684 0.016878 0.008439
##
## numeric_vote304
## votes[, 1] -1 0 1
## D 0.095238 0.005291 0.899471
## R 0.987342 0.008439 0.004219
##
## numeric_vote305
## votes[, 1] -1 0 1
## D 0.121693 0.005291 0.873016
## R 0.983122 0.012658 0.004219
##
## numeric_vote306
## votes[, 1] -1 0 1
## D 0.052910 0.005291 0.941799
## R 0.886076 0.012658 0.101266
##
## numeric_vote307
## votes[, 1] -1 0 1
## D 0.042328 0.005291 0.952381
## R 0.966245 0.025316 0.008439
##
## numeric_vote308
## votes[, 1] -1 0 1
## D 0.021164 0.015873 0.962963
## R 0.983122 0.012658 0.004219
##
## numeric_vote309
## votes[, 1] -1 0 1
## D 0.846561 0.005291 0.148148
## R 0.000000 0.016878 0.983122
##
## numeric_vote310
## votes[, 1] -1 0 1
## D 0.93122 0.03704 0.03175
## R 0.00000 0.01688 0.98312
##
## numeric_vote311
## votes[, 1] -1 0 1
## D 0.925926 0.021164 0.052910
## R 0.004219 0.021097 0.974684
##
## numeric_vote312
## votes[, 1] -1 0 1
## D 0.06349 0.02116 0.91534
## R 0.90717 0.02532 0.06751
##
## numeric_vote313
## votes[, 1] -1 0 1
## D 0.079365 0.010582 0.910053
## R 0.936709 0.008439 0.054852
##
## numeric_vote314
## votes[, 1] -1 0 1
## D 0.084656 0.005291 0.910053
## R 0.936709 0.016878 0.046414
##
## numeric_vote315
## votes[, 1] -1 0 1
## D 0.04233 0.02116 0.93651
## R 0.90295 0.03797 0.05907
##
## numeric_vote316
## votes[, 1] -1 0 1
## D 0.30159 0.02646 0.67196
## R 0.92827 0.05063 0.02110
##
## numeric_vote317
## votes[, 1] -1 0 1
## D 0.19577 0.01587 0.78836
## R 0.94515 0.03797 0.01688
##
## numeric_vote318
## votes[, 1] -1 0 1
## D 0.19048 0.03175 0.77778
## R 0.92405 0.03797 0.03797
##
## numeric_vote319
## votes[, 1] -1 0 1
## D 0.063492 0.005291 0.931217
## R 0.966245 0.029536 0.004219
##
## numeric_vote320
## votes[, 1] -1 0 1
## D 0.883598 0.005291 0.111111
## R 0.037975 0.033755 0.928270
##
## numeric_vote321
## votes[, 1] -1 0 1
## D 0.76720 0.19577 0.03704
## R 0.04219 0.03376 0.92405
##
## numeric_vote322
## votes[, 1] -1 0 1
## D 0.68783 0.20106 0.11111
## R 0.00000 0.03797 0.96203
##
## numeric_vote323
## votes[, 1] -1 0 1
## D 0.90476 0.06878 0.02646
## R 0.00000 0.08439 0.91561
##
## numeric_vote324
## votes[, 1] -1 0 1
## D 0.65079 0.06878 0.28042
## R 0.00000 0.07173 0.92827
##
## numeric_vote325
## votes[, 1] -1 0 1
## D 0.03704 0.04762 0.91534
## R 0.86920 0.05907 0.07173
##
## numeric_vote326
## votes[, 1] -1 0 1
## D 0.01058 0.04762 0.94180
## R 0.78481 0.05063 0.16456
##
## numeric_vote327
## votes[, 1] 0 1
## D 0.07407 0.92593
## R 0.04641 0.95359
##
## numeric_vote328
## votes[, 1] -1 0 1
## D 0.00000 0.05291 0.94709
## R 0.95359 0.04641 0.00000
##
## numeric_vote329
## votes[, 1] -1 0 1
## D 0.05820 0.05820 0.88360
## R 0.01266 0.05485 0.93249
##
## numeric_vote330
## votes[, 1] 0 1
## D 0.15344 0.84656
## R 0.09283 0.90717
##
## numeric_vote331
## votes[, 1] 0 1
## D 0.13757 0.86243
## R 0.06751 0.93249
##
## numeric_vote332
## votes[, 1] -1 0 1
## D 0.000000 0.142857 0.857143
## R 0.004219 0.075949 0.919831
##
## numeric_vote333
## votes[, 1] -1 0 1
## D 0.93651 0.04762 0.01587
## R 0.00000 0.03797 0.96203
##
## numeric_vote334
## votes[, 1] -1 0 1
## D 0.936508 0.031746 0.031746
## R 0.004219 0.025316 0.970464
##
## numeric_vote335
## votes[, 1] -1 0 1
## D 0.857143 0.079365 0.063492
## R 0.974684 0.021097 0.004219
##
## numeric_vote336
## votes[, 1] -1 0 1
## D 0.01058 0.04762 0.94180
## R 0.95781 0.02110 0.02110
##
## numeric_vote337
## votes[, 1] -1 0 1
## D 0.015873 0.047619 0.936508
## R 0.957806 0.033755 0.008439
##
## numeric_vote338
## votes[, 1] -1 0 1
## D 0.89418 0.03704 0.06878
## R 0.04219 0.03376 0.92405
##
## numeric_vote339
## votes[, 1] -1 0 1
## D 0.010582 0.037037 0.952381
## R 0.978903 0.016878 0.004219
##
## numeric_vote340
## votes[, 1] -1 0 1
## D 0.94180 0.04233 0.01587
## R 0.01688 0.01688 0.96624
##
## numeric_vote341
## votes[, 1] -1 0 1
## D 0.94180 0.04233 0.01587
## R 0.00000 0.01266 0.98734
##
## numeric_vote342
## votes[, 1] -1 0 1
## D 0.878307 0.052910 0.068783
## R 0.004219 0.033755 0.962025
##
## numeric_vote343
## votes[, 1] -1 0 1
## D 0.55556 0.05820 0.38624
## R 0.95359 0.01266 0.03376
##
## numeric_vote344
## votes[, 1] -1 0 1
## D 0.92593 0.05291 0.02116
## R 0.14768 0.02110 0.83122
##
## numeric_vote345
## votes[, 1] -1 0 1
## D 0.01587 0.02116 0.96296
## R 0.92827 0.01688 0.05485
##
## numeric_vote346
## votes[, 1] -1 0 1
## D 0.02116 0.02646 0.95238
## R 0.87342 0.02532 0.10127
##
## numeric_vote347
## votes[, 1] -1 0 1
## D 0.841270 0.021164 0.137566
## R 0.004219 0.012658 0.983122
##
## numeric_vote348
## votes[, 1] -1 0 1
## D 0.13757 0.02116 0.84127
## R 0.96203 0.01266 0.02532
##
## numeric_vote349
## votes[, 1] -1 0 1
## D 0.10053 0.02116 0.87831
## R 0.95781 0.01266 0.02954
##
## numeric_vote350
## votes[, 1] -1 0 1
## D 0.33333 0.02116 0.64550
## R 0.73418 0.01266 0.25316
##
## numeric_vote351
## votes[, 1] -1 0 1
## D 0.01587 0.02116 0.96296
## R 0.95781 0.01688 0.02532
##
## numeric_vote352
## votes[, 1] -1 0 1
## D 0.06878 0.02116 0.91005
## R 0.97468 0.01266 0.01266
##
## numeric_vote353
## votes[, 1] -1 0 1
## D 0.15344 0.02646 0.82011
## R 0.90717 0.01266 0.08017
##
## numeric_vote354
## votes[, 1] -1 0 1
## D 0.74603 0.03704 0.21693
## R 0.07595 0.01688 0.90717
##
## numeric_vote355
## votes[, 1] -1 0 1
## D 0.79365 0.04233 0.16402
## R 0.07595 0.02110 0.90295
##
## numeric_vote356
## votes[, 1] -1 0 1
## D 0.11640 0.04233 0.84127
## R 0.96624 0.02110 0.01266
##
## numeric_vote357
## votes[, 1] -1 0 1
## D 0.86243 0.04233 0.09524
## R 0.02954 0.01688 0.95359
##
## numeric_vote358
## votes[, 1] -1 0 1
## D 0.497354 0.037037 0.465608
## R 0.978903 0.016878 0.004219
##
## numeric_vote359
## votes[, 1] -1 0 1
## D 0.81481 0.03704 0.14815
## R 0.15190 0.01688 0.83122
##
## numeric_vote360
## votes[, 1] -1 0 1
## D 0.07407 0.04762 0.87831
## R 0.96624 0.01688 0.01688
##
## numeric_vote361
## votes[, 1] -1 0 1
## D 0.10582 0.03175 0.86243
## R 0.89451 0.01688 0.08861
##
## numeric_vote362
## votes[, 1] -1 0 1
## D 0.91534 0.04233 0.04233
## R 0.74684 0.02532 0.22785
##
## numeric_vote363
## votes[, 1] -1 0 1
## D 0.91005 0.03175 0.05820
## R 0.61181 0.02532 0.36287
##
## numeric_vote364
## votes[, 1] -1 0 1
## D 0.40212 0.04233 0.55556
## R 0.90717 0.02532 0.06751
##
## numeric_vote365
## votes[, 1] -1 0 1
## D 0.55556 0.03704 0.40741
## R 0.90717 0.02110 0.07173
##
## numeric_vote366
## votes[, 1] -1 0 1
## D 0.015873 0.031746 0.952381
## R 0.008439 0.016878 0.974684
##
## numeric_vote367
## votes[, 1] -1 0 1
## D 0.15344 0.03175 0.81481
## R 0.51477 0.02110 0.46414
##
## numeric_vote368
## votes[, 1] -1 0 1
## D 0.11111 0.03704 0.85185
## R 0.91983 0.02954 0.05063
##
## numeric_vote369
## votes[, 1] -1 0 1
## D 0.08466 0.03704 0.87831
## R 0.91139 0.02532 0.06329
##
## numeric_vote370
## votes[, 1] 0 1
## D 0.03704 0.96296
## R 0.02110 0.97890
##
## numeric_vote371
## votes[, 1] -1 0 1
## D 0.16931 0.03175 0.79894
## R 0.37131 0.02110 0.60759
##
## numeric_vote372
## votes[, 1] -1 0 1
## D 0.91534 0.03175 0.05291
## R 0.07173 0.02110 0.90717
##
## numeric_vote373
## votes[, 1] -1 0 1
## D 0.04233 0.03175 0.92593
## R 0.86498 0.02532 0.10970
##
## numeric_vote374
## votes[, 1] -1 0 1
## D 0.000000 0.042328 0.957672
## R 0.974684 0.021097 0.004219
##
## numeric_vote375
## votes[, 1] -1 0 1
## D 0.46032 0.03704 0.50265
## R 0.02532 0.02532 0.94937
##
## numeric_vote376
## votes[, 1] -1 0 1
## D 0.62963 0.08466 0.28571
## R 0.12658 0.05063 0.82278
##
## numeric_vote377
## votes[, 1] -1 0 1
## D 0.000000 0.037037 0.962963
## R 0.004219 0.016878 0.978903
##
## numeric_vote378
## votes[, 1] -1 0 1
## D 0.11111 0.03704 0.85185
## R 0.04641 0.01688 0.93671
##
## numeric_vote379
## votes[, 1] -1 0 1
## D 0.42328 0.06878 0.50794
## R 0.98734 0.01266 0.00000
##
## numeric_vote380
## votes[, 1] -1 0 1
## D 0.95238 0.04762 0.00000
## R 0.00000 0.02110 0.97890
##
## numeric_vote381
## votes[, 1] -1 0 1
## D 0.96825 0.03175 0.00000
## R 0.00000 0.01688 0.98312
##
## numeric_vote382
## votes[, 1] -1 0 1
## D 0.962963 0.037037 0.000000
## R 0.008439 0.025316 0.966245
##
## numeric_vote383
## votes[, 1] -1 0 1
## D 0.00000 0.03704 0.96296
## R 0.04641 0.02532 0.92827
##
## numeric_vote384
## votes[, 1] -1 0 1
## D 0.00000 0.03704 0.96296
## R 0.36709 0.02110 0.61181
##
## numeric_vote385
## votes[, 1] -1 0 1
## D 0.22222 0.03175 0.74603
## R 0.93249 0.02532 0.04219
##
## numeric_vote386
## votes[, 1] -1 0 1
## D 0.788360 0.037037 0.174603
## R 0.004219 0.025316 0.970464
##
## numeric_vote387
## votes[, 1] -1 0 1
## D 0.33862 0.03704 0.62434
## R 0.12236 0.02110 0.85654
##
## numeric_vote388
## votes[, 1] -1 0 1
## D 0.62434 0.04762 0.32804
## R 0.57806 0.02110 0.40084
##
## numeric_vote389
## votes[, 1] -1 0 1
## D 0.30159 0.02646 0.67196
## R 0.37975 0.01688 0.60338
##
## numeric_vote390
## votes[, 1] -1 0 1
## D 0.968254 0.026455 0.005291
## R 0.067511 0.021097 0.911392
##
## numeric_vote391
## votes[, 1] -1 0 1
## D 0.89947 0.04762 0.05291
## R 0.01266 0.03376 0.95359
##
## numeric_vote392
## votes[, 1] -1 0 1
## D 0.920635 0.031746 0.047619
## R 0.008439 0.016878 0.974684
##
## numeric_vote393
## votes[, 1] -1 0 1
## D 0.01058 0.02646 0.96296
## R 0.64979 0.02532 0.32489
##
## numeric_vote394
## votes[, 1] -1 0 1
## D 0.46561 0.03175 0.50265
## R 0.51477 0.02110 0.46414
##
## numeric_vote395
## votes[, 1] -1 0 1
## D 0.941799 0.052910 0.005291
## R 0.215190 0.021097 0.763713
##
## numeric_vote396
## votes[, 1] -1 0 1
## D 0.957672 0.037037 0.005291
## R 0.118143 0.021097 0.860759
##
## numeric_vote397
## votes[, 1] -1 0 1
## D 0.85714 0.03704 0.10582
## R 0.01266 0.02532 0.96203
##
## numeric_vote398
## votes[, 1] -1 0 1
## D 0.68783 0.03704 0.27513
## R 0.00000 0.02110 0.97890
##
## numeric_vote399
## votes[, 1] -1 0 1
## D 0.86243 0.03175 0.10582
## R 0.53586 0.01688 0.44726
##
## numeric_vote400
## votes[, 1] -1 0 1
## D 0.85714 0.02646 0.11640
## R 0.56118 0.01688 0.42194
##
## numeric_vote401
## votes[, 1] -1 0 1
## D 0.835979 0.026455 0.137566
## R 0.008439 0.025316 0.966245
##
## numeric_vote402
## votes[, 1] -1 0 1
## D 0.95767 0.03175 0.01058
## R 0.53165 0.01688 0.45148
##
## numeric_vote403
## votes[, 1] -1 0 1
## D 0.968254 0.026455 0.005291
## R 0.071730 0.016878 0.911392
##
## numeric_vote404
## votes[, 1] -1 0 1
## D 0.878307 0.026455 0.095238
## R 0.008439 0.021097 0.970464
##
## numeric_vote405
## votes[, 1] -1 0 1
## D 0.95767 0.02646 0.01587
## R 0.16456 0.01688 0.81857
##
## numeric_vote406
## votes[, 1] -1 0 1
## D 0.968254 0.026455 0.005291
## R 0.071730 0.016878 0.911392
##
## numeric_vote407
## votes[, 1] -1 0 1
## D 0.41270 0.02646 0.56085
## R 0.97046 0.02954 0.00000
##
## numeric_vote408
## votes[, 1] -1 0 1
## D 0.005291 0.031746 0.962963
## R 0.974684 0.021097 0.004219
##
## numeric_vote409
## votes[, 1] -1 0 1
## D 0.86772 0.04233 0.08995
## R 0.08439 0.02110 0.89451
##
## numeric_vote410
## votes[, 1] -1 0 1
## D 0.80423 0.06349 0.13228
## R 0.00000 0.02954 0.97046
##
## numeric_vote411
## votes[, 1] -1 0 1
## D 0.70899 0.06878 0.22222
## R 0.04219 0.02532 0.93249
##
## numeric_vote412
## votes[, 1] -1 0 1
## D 0.62434 0.05820 0.31746
## R 0.59916 0.03376 0.36709
##
## numeric_vote413
## votes[, 1] -1 0 1
## D 0.005291 0.074074 0.920635
## R 0.843882 0.042194 0.113924
##
## numeric_vote414
## votes[, 1] -1 0 1
## D 0.925926 0.068783 0.005291
## R 0.223629 0.033755 0.742616
##
## numeric_vote415
## votes[, 1] -1 0 1
## D 0.36508 0.06349 0.57143
## R 0.38819 0.03376 0.57806
##
## numeric_vote416
## votes[, 1] -1 0 1
## D 0.000000 0.068783 0.931217
## R 0.004219 0.033755 0.962025
##
## numeric_vote417
## votes[, 1] -1 0 1
## D 0.000000 0.052910 0.947090
## R 0.978903 0.012658 0.008439
##
## numeric_vote418
## votes[, 1] -1 0 1
## D 0.00000 0.05291 0.94709
## R 0.02110 0.02110 0.95781
##
## numeric_vote419
## votes[, 1] -1 0 1
## D 0.93651 0.04233 0.02116
## R 0.00000 0.03376 0.96624
##
## numeric_vote420
## votes[, 1] -1 0 1
## D 0.01058 0.04762 0.94180
## R 0.93671 0.01266 0.05063
##
## numeric_vote421
## votes[, 1] -1 0 1
## D 0.973545 0.021164 0.005291
## R 0.050633 0.008439 0.940928
##
## numeric_vote422
## votes[, 1] -1 0 1
## D 0.02116 0.03175 0.94709
## R 0.27848 0.01266 0.70886
##
## numeric_vote423
## votes[, 1] -1 0 1
## D 0.91534 0.02116 0.06349
## R 0.53586 0.01266 0.45148
##
## numeric_vote424
## votes[, 1] -1 0 1
## D 0.97354 0.02646 0.00000
## R 0.63291 0.02110 0.34599
##
## numeric_vote425
## votes[, 1] -1 0 1
## D 0.92063 0.02646 0.05291
## R 0.51477 0.01266 0.47257
##
## numeric_vote426
## votes[, 1] -1 0 1
## D 0.34392 0.02116 0.63492
## R 0.90295 0.01266 0.08439
##
## numeric_vote427
## votes[, 1] -1 0 1
## D 0.931217 0.021164 0.047619
## R 0.582278 0.008439 0.409283
##
## numeric_vote428
## votes[, 1] -1 0 1
## D 0.10053 0.02116 0.87831
## R 0.86076 0.01266 0.12658
##
## numeric_vote429
## votes[, 1] -1 0 1
## D 0.91534 0.02116 0.06349
## R 0.45992 0.01266 0.52743
##
## numeric_vote430
## votes[, 1] -1 0 1
## D 0.973545 0.026455 0.000000
## R 0.725738 0.008439 0.265823
##
## numeric_vote431
## votes[, 1] -1 0 1
## D 0.978836 0.021164 0.000000
## R 0.493671 0.008439 0.497890
##
## numeric_vote432
## votes[, 1] -1 0 1
## D 0.96296 0.02116 0.01587
## R 0.58650 0.01688 0.39662
##
## numeric_vote433
## votes[, 1] -1 0 1
## D 0.97884 0.02116 0.00000
## R 0.47257 0.01266 0.51477
##
## numeric_vote434
## votes[, 1] -1 0 1
## D 0.97884 0.02116 0.00000
## R 0.53586 0.01266 0.45148
##
## numeric_vote435
## votes[, 1] -1 0 1
## D 0.97354 0.02646 0.00000
## R 0.48523 0.01266 0.50211
##
## numeric_vote436
## votes[, 1] -1 0 1
## D 0.95767 0.02646 0.01587
## R 0.30380 0.02110 0.67511
##
## numeric_vote437
## votes[, 1] -1 0 1
## D 0.07407 0.06878 0.85714
## R 0.93671 0.04219 0.02110
##
## numeric_vote438
## votes[, 1] -1 0 1
## D 0.93651 0.05291 0.01058
## R 0.08861 0.03376 0.87764
##
## numeric_vote439
## votes[, 1] -1 0 1
## D 0.29630 0.04233 0.66138
## R 0.59072 0.01266 0.39662
##
## numeric_vote440
## votes[, 1] -1 0 1
## D 0.06349 0.04762 0.88889
## R 0.95781 0.01266 0.02954
##
## numeric_vote441
## votes[, 1] -1 0 1
## D 0.11640 0.04233 0.84127
## R 0.96624 0.01688 0.01688
##
## numeric_vote442
## votes[, 1] -1 0 1
## D 0.27513 0.04762 0.67725
## R 0.61603 0.01266 0.37131
##
## numeric_vote443
## votes[, 1] -1 0 1
## D 0.36508 0.04233 0.59259
## R 0.80591 0.02954 0.16456
##
## numeric_vote444
## votes[, 1] -1 0 1
## D 0.95767 0.04233 0.00000
## R 0.32911 0.02532 0.64557
##
## numeric_vote445
## votes[, 1] -1 0 1
## D 0.86772 0.05820 0.07407
## R 0.03797 0.01688 0.94515
##
## numeric_vote446
## votes[, 1] -1 0 1
## D 0.94709 0.04233 0.01058
## R 0.02954 0.01266 0.95781
##
## numeric_vote447
## votes[, 1] -1 0 1
## D 0.03704 0.04762 0.91534
## R 0.96203 0.01688 0.02110
##
## numeric_vote448
## votes[, 1] -1 0 1
## D 0.90476 0.04233 0.05291
## R 0.02110 0.02532 0.95359
##
## numeric_vote449
## votes[, 1] -1 0 1
## D 0.04762 0.04762 0.90476
## R 0.94515 0.02110 0.03376
##
## numeric_vote450
## votes[, 1] -1 0 1
## D 0.01587 0.04233 0.94180
## R 0.54008 0.01266 0.44726
##
## numeric_vote451
## votes[, 1] -1 0 1
## D 0.72487 0.04233 0.23280
## R 0.82278 0.01688 0.16034
##
## numeric_vote452
## votes[, 1] -1 0 1
## D 0.41799 0.04762 0.53439
## R 0.86920 0.01266 0.11814
##
## numeric_vote453
## votes[, 1] -1 0 1
## D 0.947090 0.047619 0.005291
## R 0.535865 0.012658 0.451477
##
## numeric_vote454
## votes[, 1] -1 0 1
## D 0.43386 0.08466 0.48148
## R 0.18987 0.01688 0.79325
##
## numeric_vote455
## votes[, 1] -1 0 1
## D 0.39683 0.07407 0.52910
## R 0.64135 0.01266 0.34599
##
## numeric_vote456
## votes[, 1] -1 0 1
## D 0.46032 0.05820 0.48148
## R 0.70042 0.01688 0.28270
##
## numeric_vote457
## votes[, 1] -1 0 1
## D 0.82540 0.06878 0.10582
## R 0.65823 0.01266 0.32911
##
## numeric_vote458
## votes[, 1] -1 0 1
## D 0.000000 0.042328 0.957672
## R 0.974684 0.021097 0.004219
##
## numeric_vote459
## votes[, 1] -1 0 1
## D 0.95767 0.04233 0.00000
## R 0.08017 0.01266 0.90717
##
## numeric_vote460
## votes[, 1] 0 1
## D 0.10582 0.89418
## R 0.06329 0.93671
##
## numeric_vote461
## votes[, 1] 0 1
## D 0.10053 0.89947
## R 0.05907 0.94093
##
## numeric_vote462
## votes[, 1] 0 1
## D 0.10582 0.89418
## R 0.05907 0.94093
##
## numeric_vote463
## votes[, 1] -1 0 1
## D 0.94709 0.03175 0.02116
## R 0.02954 0.08861 0.88186
##
## numeric_vote464
## votes[, 1] -1 0 1
## D 0.95767 0.03175 0.01058
## R 0.00000 0.04641 0.95359
##
## numeric_vote465
## votes[, 1] -1 0 1
## D 0.931217 0.005291 0.063492
## R 0.033755 0.021097 0.945148
##
## numeric_vote466
## votes[, 1] -1 0 1
## D 0.97354 0.02646 0.00000
## R 0.00000 0.01688 0.98312
##
## numeric_vote467
## votes[, 1] -1 0 1
## D 0.089947 0.005291 0.904762
## R 0.966245 0.025316 0.008439
##
## numeric_vote468
## votes[, 1] -1 0 1
## D 0.126984 0.010582 0.862434
## R 0.962025 0.033755 0.004219
##
## numeric_vote469
## votes[, 1] -1 0 1
## D 0.08466 0.01587 0.89947
## R 0.92827 0.02954 0.04219
##
## numeric_vote470
## votes[, 1] -1 0 1
## D 0.14815 0.01058 0.84127
## R 0.95781 0.01688 0.02532
##
## numeric_vote471
## votes[, 1] -1 0 1
## D 0.100529 0.010582 0.888889
## R 0.978903 0.016878 0.004219
##
## numeric_vote472
## votes[, 1] -1 0 1
## D 0.11111 0.01058 0.87831
## R 0.96203 0.02110 0.01688
##
## numeric_vote473
## votes[, 1] -1 0 1
## D 0.05820 0.02116 0.92063
## R 0.95781 0.01688 0.02532
##
## numeric_vote474
## votes[, 1] -1 0 1
## D 0.09524 0.02116 0.88360
## R 0.93671 0.02110 0.04219
##
## numeric_vote475
## votes[, 1] -1 0 1
## D 0.06349 0.01058 0.92593
## R 0.94515 0.02110 0.03376
##
## numeric_vote476
## votes[, 1] -1 0 1
## D 0.16402 0.02116 0.81481
## R 0.96203 0.02110 0.01688
##
## numeric_vote477
## votes[, 1] -1 0 1
## D 0.06349 0.01587 0.92063
## R 0.97468 0.02532 0.00000
##
## numeric_vote478
## votes[, 1] -1 0 1
## D 0.851852 0.026455 0.121693
## R 0.008439 0.029536 0.962025
##
## numeric_vote479
## votes[, 1] -1 0 1
## D 0.87302 0.06878 0.05820
## R 0.00000 0.01266 0.98734
##
## numeric_vote480
## votes[, 1] -1 0 1
## D 0.894180 0.021164 0.084656
## R 0.004219 0.012658 0.983122
##
## numeric_vote481
## votes[, 1] -1 0 1
## D 0.56085 0.02116 0.41799
## R 0.13924 0.01688 0.84388
##
## numeric_vote482
## votes[, 1] -1 0 1
## D 0.61376 0.03175 0.35450
## R 0.82700 0.01688 0.15612
##
## numeric_vote483
## votes[, 1] -1 0 1
## D 0.76190 0.02646 0.21164
## R 0.81857 0.01266 0.16878
##
## numeric_vote485
## votes[, 1] -1 0 1
## D 0.15873 0.03175 0.80952
## R 0.70464 0.01688 0.27848
##
## numeric_vote486
## votes[, 1] -1 0 1
## D 0.73016 0.02116 0.24868
## R 0.64557 0.01266 0.34177
##
## numeric_vote487
## votes[, 1] -1 0 1
## D 0.91005 0.02116 0.06878
## R 0.64135 0.02532 0.33333
##
## numeric_vote488
## votes[, 1] -1 0 1
## D 0.83069 0.02116 0.14815
## R 0.75949 0.01688 0.22363
##
## numeric_vote489
## votes[, 1] -1 0 1
## D 0.47619 0.03704 0.48677
## R 0.70886 0.01688 0.27426
##
## numeric_vote490
## votes[, 1] -1 0 1
## D 0.089947 0.021164 0.888889
## R 0.978903 0.016878 0.004219
##
## numeric_vote491
## votes[, 1] -1 0 1
## D 0.25926 0.03175 0.70899
## R 0.28270 0.01688 0.70042
##
## numeric_vote492
## votes[, 1] -1 0 1
## D 0.87302 0.05820 0.06878
## R 0.00000 0.05485 0.94515
##
## numeric_vote493
## votes[, 1] -1 0 1
## D 0.35979 0.03704 0.60317
## R 0.94093 0.02532 0.03376
##
## numeric_vote494
## votes[, 1] -1 0 1
## D 0.78307 0.03704 0.17989
## R 0.37553 0.02532 0.59916
##
## numeric_vote495
## votes[, 1] -1 0 1
## D 0.06878 0.04233 0.88889
## R 0.95359 0.02954 0.01688
##
## numeric_vote496
## votes[, 1] -1 0 1
## D 0.86772 0.04762 0.08466
## R 0.67932 0.02954 0.29114
##
## numeric_vote497
## votes[, 1] -1 0 1
## D 0.20635 0.03704 0.75661
## R 0.94515 0.02532 0.02954
##
## numeric_vote498
## votes[, 1] -1 0 1
## D 0.02116 0.03175 0.94709
## R 0.68776 0.02110 0.29114
##
## numeric_vote499
## votes[, 1] -1 0 1
## D 0.54497 0.03175 0.42328
## R 0.90717 0.02110 0.07173
##
## numeric_vote500
## votes[, 1] -1 0 1
## D 0.96825 0.03175 0.00000
## R 0.08861 0.02110 0.89030
##
## numeric_vote501
## votes[, 1] -1 0 1
## D 0.96296 0.02646 0.01058
## R 0.07595 0.02110 0.90295
##
## numeric_vote502
## votes[, 1] -1 0 1
## D 0.492063 0.052910 0.455026
## R 0.949367 0.008439 0.042194
##
## numeric_vote503
## votes[, 1] -1 0 1
## D 0.365079 0.010582 0.624339
## R 0.940928 0.004219 0.054852
##
## numeric_vote504
## votes[, 1] -1 0 1
## D 0.14815 0.01058 0.84127
## R 0.93249 0.01688 0.05063
##
## numeric_vote505
## votes[, 1] -1 0 1
## D 0.740741 0.010582 0.248677
## R 0.658228 0.004219 0.337553
##
## numeric_vote506
## votes[, 1] -1 0 1
## D 0.444444 0.010582 0.544974
## R 0.957806 0.004219 0.037975
##
## numeric_vote507
## votes[, 1] -1 0 1
## D 0.216931 0.010582 0.772487
## R 0.738397 0.008439 0.253165
##
## numeric_vote508
## votes[, 1] -1 0 1
## D 0.465608 0.010582 0.523810
## R 0.810127 0.004219 0.185654
##
## numeric_vote509
## votes[, 1] -1 0 1
## D 0.52381 0.01587 0.46032
## R 0.86498 0.01266 0.12236
##
## numeric_vote510
## votes[, 1] -1 0 1
## D 0.69841 0.01587 0.28571
## R 0.64135 0.01266 0.34599
##
## numeric_vote511
## votes[, 1] -1 0 1
## D 0.275132 0.015873 0.708995
## R 0.620253 0.004219 0.375527
##
## numeric_vote512
## votes[, 1] -1 0 1
## D 0.296296 0.010582 0.693122
## R 0.852321 0.008439 0.139241
##
## numeric_vote513
## votes[, 1] -1 0 1
## D 0.740741 0.015873 0.243386
## R 0.253165 0.008439 0.738397
##
## numeric_vote514
## votes[, 1] -1 0 1
## D 0.645503 0.010582 0.343915
## R 0.447257 0.004219 0.548523
##
## numeric_vote515
## votes[, 1] -1 0 1
## D 0.740741 0.026455 0.232804
## R 0.455696 0.004219 0.540084
##
## numeric_vote516
## votes[, 1] -1 0 1
## D 0.87831 0.02116 0.10053
## R 0.02532 0.01688 0.95781
##
## numeric_vote517
## votes[, 1] -1 0 1
## D 0.619048 0.021164 0.359788
## R 0.721519 0.008439 0.270042
##
## numeric_vote518
## votes[, 1] -1 0 1
## D 0.328042 0.015873 0.656085
## R 0.202532 0.004219 0.793249
##
## numeric_vote519
## votes[, 1] -1 0 1
## D 0.851852 0.015873 0.132275
## R 0.734177 0.004219 0.261603
##
## numeric_vote520
## votes[, 1] -1 0 1
## D 0.814815 0.015873 0.169312
## R 0.459916 0.004219 0.535865
##
## numeric_vote521
## votes[, 1] -1 0 1
## D 0.222222 0.021164 0.756614
## R 0.902954 0.004219 0.092827
##
## numeric_vote522
## votes[, 1] -1 0 1
## D 0.878307 0.021164 0.100529
## R 0.008439 0.004219 0.987342
##
## numeric_vote523
## votes[, 1] -1 0 1
## D 0.280423 0.021164 0.698413
## R 0.793249 0.008439 0.198312
##
## numeric_vote524
## votes[, 1] -1 0 1
## D 0.015873 0.089947 0.894180
## R 0.012658 0.004219 0.983122
##
## numeric_vote525
## votes[, 1] -1 0 1
## D 0.95767 0.04233 0.00000
## R 0.81857 0.01688 0.16456
##
## numeric_vote526
## votes[, 1] -1 0 1
## D 0.60847 0.05820 0.33333
## R 0.74262 0.02954 0.22785
##
## numeric_vote527
## votes[, 1] -1 0 1
## D 0.82011 0.03175 0.14815
## R 0.68776 0.01688 0.29536
##
## numeric_vote528
## votes[, 1] -1 0 1
## D 0.91005 0.04233 0.04762
## R 0.03797 0.01266 0.94937
##
## numeric_vote529
## votes[, 1] -1 0 1
## D 0.50265 0.03704 0.46032
## R 0.87764 0.01688 0.10549
##
## numeric_vote530
## votes[, 1] -1 0 1
## D 0.70899 0.03704 0.25397
## R 0.48945 0.01688 0.49367
##
## numeric_vote531
## votes[, 1] -1 0 1
## D 0.005291 0.031746 0.962963
## R 0.974684 0.012658 0.012658
##
## numeric_vote532
## votes[, 1] -1 0 1
## D 0.38624 0.02646 0.58730
## R 0.05063 0.01266 0.93671
##
## numeric_vote533
## votes[, 1] -1 0 1
## D 0.75661 0.04233 0.20106
## R 0.00000 0.03376 0.96624
##
## numeric_vote534
## votes[, 1] -1 0 1
## D 0.17989 0.08466 0.73545
## R 0.88608 0.02954 0.08439
##
## numeric_vote535
## votes[, 1] -1 0 1
## D 0.85714 0.08466 0.05820
## R 0.10549 0.03797 0.85654
##
## numeric_vote536
## votes[, 1] -1 0 1
## D 0.62434 0.07937 0.29630
## R 0.21097 0.02954 0.75949
##
## numeric_vote537
## votes[, 1] -1 0 1
## D 0.91005 0.07937 0.01058
## R 0.06751 0.02954 0.90295
##
## numeric_vote538
## votes[, 1] -1 0 1
## D 0.92593 0.07407 0.00000
## R 0.56540 0.03376 0.40084
##
## numeric_vote539
## votes[, 1] -1 0 1
## D 0.936508 0.052910 0.010582
## R 0.063291 0.004219 0.932489
##
## numeric_vote540
## votes[, 1] -1 0 1
## D 0.12169 0.04233 0.83598
## R 0.95359 0.01266 0.03376
##
## numeric_vote541
## votes[, 1] -1 0 1
## D 0.18519 0.04233 0.77249
## R 0.96203 0.01266 0.02532
##
## numeric_vote542
## votes[, 1] -1 0 1
## D 0.952381 0.037037 0.010582
## R 0.316456 0.004219 0.679325
##
## numeric_vote543
## votes[, 1] -1 0 1
## D 0.12169 0.03175 0.84656
## R 0.94515 0.01266 0.04219
##
## numeric_vote544
## votes[, 1] -1 0 1
## D 0.121693 0.031746 0.846561
## R 0.924051 0.008439 0.067511
##
## numeric_vote545
## votes[, 1] -1 0 1
## D 0.962963 0.031746 0.005291
## R 0.447257 0.008439 0.544304
##
## numeric_vote546
## votes[, 1] -1 0 1
## D 0.343915 0.031746 0.624339
## R 0.978903 0.008439 0.012658
##
## numeric_vote547
## votes[, 1] -1 0 1
## D 0.957672 0.031746 0.010582
## R 0.468354 0.008439 0.523207
##
## numeric_vote548
## votes[, 1] -1 0 1
## D 0.24868 0.03175 0.71958
## R 0.94515 0.01266 0.04219
##
## numeric_vote549
## votes[, 1] -1 0 1
## D 0.952381 0.031746 0.015873
## R 0.379747 0.008439 0.611814
##
## numeric_vote550
## votes[, 1] -1 0 1
## D 0.095238 0.031746 0.873016
## R 0.877637 0.004219 0.118143
##
## numeric_vote551
## votes[, 1] -1 0 1
## D 0.957672 0.031746 0.010582
## R 0.506329 0.004219 0.489451
##
## numeric_vote552
## votes[, 1] -1 0 1
## D 0.407407 0.031746 0.560847
## R 0.746835 0.004219 0.248945
##
## numeric_vote553
## votes[, 1] -1 0 1
## D 0.227513 0.042328 0.730159
## R 0.974684 0.008439 0.016878
##
## numeric_vote554
## votes[, 1] -1 0 1
## D 0.079365 0.026455 0.894180
## R 0.902954 0.004219 0.092827
##
## numeric_vote555
## votes[, 1] -1 0 1
## D 0.93651 0.02646 0.03704
## R 0.51899 0.01266 0.46835
##
## numeric_vote556
## votes[, 1] -1 0 1
## D 0.148148 0.031746 0.820106
## R 0.569620 0.004219 0.426160
##
## numeric_vote557
## votes[, 1] -1 0 1
## D 0.910053 0.031746 0.058201
## R 0.037975 0.004219 0.957806
##
## numeric_vote558
## votes[, 1] -1 0 1
## D 0.947090 0.031746 0.021164
## R 0.236287 0.004219 0.759494
##
## numeric_vote559
## votes[, 1] -1 0 1
## D 0.074074 0.037037 0.888889
## R 0.902954 0.008439 0.088608
##
## numeric_vote560
## votes[, 1] -1 0 1
## D 0.95238 0.03175 0.01587
## R 0.83966 0.01266 0.14768
##
## numeric_vote561
## votes[, 1] -1 0 1
## D 0.042328 0.026455 0.931217
## R 0.983122 0.004219 0.012658
##
## numeric_vote562
## votes[, 1] -1 0 1
## D 0.005291 0.015873 0.978836
## R 0.088608 0.000000 0.911392
##
## numeric_vote563
## votes[, 1] -1 0 1
## D 0.952381 0.021164 0.026455
## R 0.042194 0.004219 0.953586
##
## numeric_vote564
## votes[, 1] -1 0 1
## D 0.888889 0.047619 0.063492
## R 0.000000 0.004219 0.995781
##
## numeric_vote565
## votes[, 1] -1 0 1
## D 0.08466 0.03175 0.88360
## R 0.98734 0.01266 0.00000
##
## numeric_vote566
## votes[, 1] -1 0 1
## D 0.783069 0.031746 0.185185
## R 0.004219 0.021097 0.974684
##
## numeric_vote567
## votes[, 1] -1 0 1
## D 0.06349 0.03175 0.90476
## R 0.91983 0.01266 0.06751
##
## numeric_vote568
## votes[, 1] -1 0 1
## D 0.07937 0.03704 0.88360
## R 0.94515 0.01266 0.04219
##
## numeric_vote569
## votes[, 1] -1 0 1
## D 0.06349 0.03704 0.89947
## R 0.94515 0.01688 0.03797
##
## numeric_vote570
## votes[, 1] -1 0 1
## D 0.074074 0.037037 0.888889
## R 0.974684 0.016878 0.008439
##
## numeric_vote571
## votes[, 1] -1 0 1
## D 0.10053 0.03175 0.86772
## R 0.98312 0.01688 0.00000
##
## numeric_vote572
## votes[, 1] -1 0 1
## D 0.005291 0.021164 0.973545
## R 0.991561 0.004219 0.004219
##
## numeric_vote573
## votes[, 1] -1 0 1
## D 0.88889 0.02646 0.08466
## R 0.05063 0.01266 0.93671
##
## numeric_vote574
## votes[, 1] -1 0 1
## D 0.12698 0.03175 0.84127
## R 0.97468 0.00000 0.02532
##
## numeric_vote575
## votes[, 1] -1 0 1
## D 0.164021 0.031746 0.804233
## R 0.548523 0.008439 0.443038
##
## numeric_vote576
## votes[, 1] -1 0 1
## D 0.153439 0.026455 0.820106
## R 0.970464 0.004219 0.025316
##
## numeric_vote577
## votes[, 1] -1 0 1
## D 0.973545 0.015873 0.010582
## R 0.434599 0.004219 0.561181
##
## numeric_vote578
## votes[, 1] -1 0 1
## D 0.978836 0.015873 0.005291
## R 0.586498 0.004219 0.409283
##
## numeric_vote579
## votes[, 1] -1 0 1
## D 0.04233 0.02116 0.93651
## R 0.86076 0.00000 0.13924
##
## numeric_vote580
## votes[, 1] -1 0 1
## D 0.957672 0.031746 0.010582
## R 0.523207 0.008439 0.468354
##
## numeric_vote581
## votes[, 1] -1 0 1
## D 0.63492 0.02116 0.34392
## R 0.03376 0.00000 0.96624
##
## numeric_vote582
## votes[, 1] -1 0 1
## D 0.947090 0.021164 0.031746
## R 0.236287 0.004219 0.759494
##
## numeric_vote583
## votes[, 1] -1 0 1
## D 0.86772 0.04233 0.08995
## R 0.01266 0.02110 0.96624
##
## numeric_vote584
## votes[, 1] -1 0 1
## D 0.19048 0.03175 0.77778
## R 0.95359 0.01266 0.03376
##
## numeric_vote585
## votes[, 1] -1 0 1
## D 0.96825 0.03175 0.00000
## R 0.21941 0.01688 0.76371
##
## numeric_vote586
## votes[, 1] -1 0 1
## D 0.03704 0.03175 0.93122
## R 0.85232 0.01266 0.13502
##
## numeric_vote587
## votes[, 1] -1 0 1
## D 0.96825 0.03175 0.00000
## R 0.64979 0.01266 0.33755
##
## numeric_vote588
## votes[, 1] -1 0 1
## D 0.179894 0.037037 0.783069
## R 0.983122 0.012658 0.004219
##
## numeric_vote589
## votes[, 1] -1 0 1
## D 0.85185 0.03175 0.11640
## R 0.79325 0.01688 0.18987
##
## numeric_vote590
## votes[, 1] -1 0 1
## D 0.39153 0.03704 0.57143
## R 0.30802 0.02110 0.67089
##
## numeric_vote591
## votes[, 1] -1 0 1
## D 0.968254 0.031746 0.000000
## R 0.704641 0.008439 0.286920
##
## numeric_vote592
## votes[, 1] -1 0 1
## D 0.96825 0.03175 0.00000
## R 0.61181 0.01266 0.37553
##
## numeric_vote593
## votes[, 1] -1 0 1
## D 0.96825 0.03175 0.00000
## R 0.02954 0.02110 0.94937
##
## numeric_vote594
## votes[, 1] -1 0 1
## D 0.962963 0.031746 0.005291
## R 0.447257 0.016878 0.535865
##
## numeric_vote595
## votes[, 1] -1 0 1
## D 0.95238 0.03175 0.01587
## R 0.37553 0.01266 0.61181
##
## numeric_vote596
## votes[, 1] -1 0 1
## D 0.92063 0.03704 0.04233
## R 0.04219 0.01266 0.94515
##
## numeric_vote597
## votes[, 1] -1 0 1
## D 0.93122 0.03704 0.03175
## R 0.71730 0.02110 0.26160
##
## numeric_vote598
## votes[, 1] -1 0 1
## D 0.95767 0.04233 0.00000
## R 0.20253 0.03797 0.75949
##
## numeric_vote599
## votes[, 1] -1 0 1
## D 0.00000 0.05291 0.94709
## R 0.97046 0.02954 0.00000
##
## numeric_vote600
## votes[, 1] -1 0 1
## D 0.91005 0.03704 0.05291
## R 0.08439 0.03797 0.87764
##
## numeric_vote601
## votes[, 1] -1 0 1
## D 0.000000 0.322751 0.677249
## R 0.004219 0.240506 0.755274
##
## numeric_vote602
## votes[, 1] -1 0 1
## D 0.1376 0.3598 0.5026
## R 0.1181 0.2574 0.6245
##
## numeric_vote603
## votes[, 1] -1 0 1
## D 0.91005 0.07937 0.01058
## R 0.00000 0.02532 0.97468
##
## numeric_vote604
## votes[, 1] -1 0 1
## D 0.91534 0.07407 0.01058
## R 0.00000 0.02110 0.97890
##
## numeric_vote605
## votes[, 1] -1 0 1
## D 0.000000 0.031746 0.968254
## R 0.987342 0.008439 0.004219
##
## numeric_vote606
## votes[, 1] -1 0 1
## D 0.936508 0.037037 0.026455
## R 0.037975 0.004219 0.957806
##
## numeric_vote607
## votes[, 1] -1 0 1
## D 0.39153 0.04233 0.56614
## R 0.13924 0.03376 0.82700
##
## numeric_vote608
## votes[, 1] -1 0 1
## D 0.94709 0.03704 0.01587
## R 0.00000 0.01266 0.98734
##
## numeric_vote609
## votes[, 1] -1 0 1
## D 0.910053 0.047619 0.042328
## R 0.008439 0.012658 0.978903
##
## numeric_vote610
## votes[, 1] -1 0 1
## D 0.00000 0.04762 0.95238
## R 0.97468 0.01266 0.01266
##
## numeric_vote611
## votes[, 1] -1 0 1
## D 0.88889 0.04762 0.06349
## R 0.02532 0.01266 0.96203
##
## numeric_vote612
## votes[, 1] -1 0 1
## D 0.89418 0.08995 0.01587
## R 0.00000 0.06329 0.93671
##
## numeric_vote613
## votes[, 1] -1 0 1
## D 0.88889 0.06349 0.04762
## R 0.00000 0.03797 0.96203
##
## numeric_vote614
## votes[, 1] -1 0 1
## D 0.91534 0.05291 0.03175
## R 0.00000 0.02954 0.97046
##
## numeric_vote615
## votes[, 1] -1 0 1
## D 0.058201 0.068783 0.873016
## R 0.953586 0.042194 0.004219
##
## numeric_vote616
## votes[, 1] -1 0 1
## D 0.037037 0.063492 0.899471
## R 0.966245 0.029536 0.004219
##
## numeric_vote617
## votes[, 1] -1 0 1
## D 0.052910 0.052910 0.894180
## R 0.962025 0.029536 0.008439
##
## numeric_vote618
## votes[, 1] -1 0 1
## D 0.079365 0.063492 0.857143
## R 0.957806 0.033755 0.008439
##
## numeric_vote619
## votes[, 1] -1 0 1
## D 0.857143 0.058201 0.084656
## R 0.008439 0.033755 0.957806
##
## numeric_vote620
## votes[, 1] -1 0 1
## D 0.005291 0.052910 0.941799
## R 0.966245 0.029536 0.004219
##
## numeric_vote621
## votes[, 1] -1 0 1
## D 0.888889 0.058201 0.052910
## R 0.004219 0.029536 0.966245
##
## numeric_vote622
## votes[, 1] -1 0 1
## D 0.75132 0.09524 0.15344
## R 0.64979 0.04219 0.30802
##
## numeric_vote623
## votes[, 1] -1 0 1
## D 0.57143 0.05820 0.37037
## R 0.01266 0.04219 0.94515
##
## numeric_vote624
## votes[, 1] -1 0 1
## D 0.88889 0.05291 0.05820
## R 0.36709 0.03797 0.59494
##
## numeric_vote625
## votes[, 1] -1 0 1
## D 0.74074 0.05291 0.20635
## R 0.21941 0.04219 0.73840
##
## numeric_vote626
## votes[, 1] -1 0 1
## D 0.92593 0.05291 0.02116
## R 0.43460 0.03797 0.52743
##
## numeric_vote627
## votes[, 1] -1 0 1
## D 0.08995 0.05820 0.85185
## R 0.91139 0.04219 0.04641
##
## numeric_vote628
## votes[, 1] -1 0 1
## D 0.06349 0.05291 0.88360
## R 0.92827 0.03797 0.03376
##
## numeric_vote629
## votes[, 1] -1 0 1
## D 0.74074 0.05820 0.20106
## R 0.06751 0.04219 0.89030
##
## numeric_vote630
## votes[, 1] -1 0 1
## D 0.677249 0.317460 0.005291
## R 0.000000 0.147679 0.852321
##
## numeric_vote631
## votes[, 1] -1 0 1
## D 0.3492 0.3016 0.3492
## R 0.1646 0.1392 0.6962
##
## numeric_vote632
## votes[, 1] -1 0 1
## D 0.05291 0.06878 0.87831
## R 0.94937 0.02532 0.02532
##
## numeric_vote633
## votes[, 1] -1 0 1
## D 0.93122 0.06878 0.00000
## R 0.43882 0.03376 0.52743
##
## numeric_vote634
## votes[, 1] -1 0 1
## D 0.12169 0.06349 0.81481
## R 0.94093 0.02532 0.03376
##
## numeric_vote635
## votes[, 1] -1 0 1
## D 0.07937 0.06349 0.85714
## R 0.74262 0.02532 0.23207
##
## numeric_vote636
## votes[, 1] -1 0 1
## D 0.19577 0.06878 0.73545
## R 0.97468 0.02532 0.00000
##
## numeric_vote637
## votes[, 1] -1 0 1
## D 0.88889 0.05291 0.05820
## R 0.00000 0.01688 0.98312
##
## numeric_vote638
## votes[, 1] 0 1
## D 0.026455 0.973545
## R 0.008439 0.991561
##
## numeric_vote639
## votes[, 1] -1 0 1
## D 0.35450 0.01587 0.62963
## R 0.17300 0.01688 0.81013
##
## numeric_vote640
## votes[, 1] -1 0 1
## D 0.142857 0.021164 0.835979
## R 0.974684 0.016878 0.008439
##
## numeric_vote641
## votes[, 1] -1 0 1
## D 0.132275 0.026455 0.841270
## R 0.983122 0.008439 0.008439
##
## numeric_vote642
## votes[, 1] -1 0 1
## D 0.164021 0.015873 0.820106
## R 0.978903 0.008439 0.012658
##
## numeric_vote643
## votes[, 1] -1 0 1
## D 0.179894 0.015873 0.804233
## R 0.991561 0.008439 0.000000
##
## numeric_vote644
## votes[, 1] -1 0 1
## D 0.195767 0.021164 0.783069
## R 0.991561 0.004219 0.004219
##
## numeric_vote645
## votes[, 1] -1 0 1
## D 0.164021 0.021164 0.814815
## R 0.974684 0.008439 0.016878
##
## numeric_vote646
## votes[, 1] -1 0 1
## D 0.142857 0.015873 0.841270
## R 0.974684 0.004219 0.021097
##
## numeric_vote647
## votes[, 1] -1 0 1
## D 0.148148 0.015873 0.835979
## R 0.983122 0.012658 0.004219
##
## numeric_vote648
## votes[, 1] -1 0 1
## D 0.17460 0.02116 0.80423
## R 0.95781 0.01266 0.02954
##
## numeric_vote649
## votes[, 1] -1 0 1
## D 0.058201 0.010582 0.931217
## R 0.991561 0.004219 0.004219
##
## numeric_vote650
## votes[, 1] -1 0 1
## D 0.74603 0.01058 0.24339
## R 0.01266 0.01688 0.97046
##
## numeric_vote651
## votes[, 1] -1 0 1
## D 0.16402 0.02116 0.81481
## R 0.91983 0.01688 0.06329
##
## numeric_vote652
## votes[, 1] -1 0 1
## D 0.010582 0.021164 0.968254
## R 0.839662 0.008439 0.151899
##
## numeric_vote653
## votes[, 1] -1 0 1
## D 0.21693 0.03175 0.75132
## R 0.82278 0.01688 0.16034
##
## numeric_vote654
## votes[, 1] -1 0 1
## D 0.93651 0.02116 0.04233
## R 0.47257 0.01266 0.51477
##
## numeric_vote655
## votes[, 1] -1 0 1
## D 0.640212 0.010582 0.349206
## R 0.704641 0.008439 0.286920
##
## numeric_vote656
## votes[, 1] -1 0 1
## D 0.58730 0.01587 0.39683
## R 0.32489 0.01266 0.66245
##
## numeric_vote657
## votes[, 1] -1 0 1
## D 0.973545 0.010582 0.015873
## R 0.101266 0.008439 0.890295
##
## numeric_vote658
## votes[, 1] -1 0 1
## D 0.047619 0.058201 0.894180
## R 0.957806 0.037975 0.004219
##
## numeric_vote659
## votes[, 1] -1 0 1
## D 0.12169 0.02116 0.85714
## R 0.94937 0.01688 0.03376
##
## numeric_vote660
## votes[, 1] -1 0 1
## D 0.751323 0.021164 0.227513
## R 0.253165 0.008439 0.738397
##
## numeric_vote661
## votes[, 1] -1 0 1
## D 0.920635 0.021164 0.058201
## R 0.050633 0.008439 0.940928
##
## numeric_vote662
## votes[, 1] -1 0 1
## D 0.24868 0.02116 0.73016
## R 0.77637 0.01266 0.21097
##
## numeric_vote663
## votes[, 1] -1 0 1
## D 0.962963 0.037037 0.000000
## R 0.000000 0.004219 0.995781
##
## numeric_vote664
## votes[, 1] -1 0 1
## D 0.984127 0.015873 0.000000
## R 0.518987 0.004219 0.476793
##
## numeric_vote665
## votes[, 1] -1 0 1
## D 0.164021 0.021164 0.814815
## R 0.949367 0.008439 0.042194
##
## numeric_vote666
## votes[, 1] -1 0 1
## D 0.947090 0.031746 0.021164
## R 0.333333 0.008439 0.658228
##
## numeric_vote667
## votes[, 1] -1 0 1
## D 0.724868 0.026455 0.248677
## R 0.645570 0.008439 0.345992
##
## numeric_vote668
## votes[, 1] -1 0 1
## D 0.96825 0.01587 0.01587
## R 0.16878 0.01688 0.81435
##
## numeric_vote669
## votes[, 1] -1 0 1
## D 0.978836 0.021164 0.000000
## R 0.535865 0.004219 0.459916
##
## numeric_vote670
## votes[, 1] -1 0 1
## D 0.95767 0.04233 0.00000
## R 0.22785 0.01266 0.75949
##
## numeric_vote671
## votes[, 1] -1 0 1
## D 0.957672 0.042328 0.000000
## R 0.000000 0.008439 0.991561
##
## numeric_vote672
## votes[, 1] -1 0 1
## D 0.96296 0.03704 0.00000
## R 0.00000 0.01266 0.98734
##
## numeric_vote673
## votes[, 1] -1 0 1
## D 0.00000 0.03704 0.96296
## R 0.08439 0.01266 0.90295
##
## numeric_vote674
## votes[, 1] -1 0 1
## D 0.005291 0.047619 0.947090
## R 0.000000 0.016878 0.983122
##
## numeric_vote675
## votes[, 1] -1 0 1
## D 0.96825 0.03175 0.00000
## R 0.00000 0.00000 1.00000
##
## numeric_vote676
## votes[, 1] -1 0 1
## D 0.031746 0.026455 0.941799
## R 0.995781 0.000000 0.004219
##
## numeric_vote677
## votes[, 1] -1 0 1
## D 0.97354 0.02646 0.00000
## R 0.09283 0.00000 0.90717
##
## numeric_vote678
## votes[, 1] 0 1
## D 0.04762 0.95238
## R 0.01266 0.98734
##
## numeric_vote679
## votes[, 1] 0 1
## D 0.0582 0.9418
## R 0.0211 0.9789
##
## numeric_vote680
## votes[, 1] -1 0 1
## D 0.00000 0.05291 0.94709
## R 0.01266 0.02110 0.96624
##
## numeric_vote681
## votes[, 1] -1 0 1
## D 0.32804 0.06349 0.60847
## R 0.20253 0.03797 0.75949
##
## numeric_vote682
## votes[, 1] -1 0 1
## D 0.05291 0.04762 0.89947
## R 0.98312 0.01688 0.00000
##
## numeric_vote683
## votes[, 1] -1 0 1
## D 0.01058 0.03175 0.95767
## R 0.00000 0.01266 0.98734
##
## numeric_vote684
## votes[, 1] 0 1
## D 0.026455 0.973545
## R 0.004219 0.995781
##
## numeric_vote685
## votes[, 1] -1 0 1
## D 0.00000 0.02646 0.97354
## R 0.06751 0.01266 0.91983
##
## numeric_vote686
## votes[, 1] -1 0 1
## D 0.952381 0.026455 0.021164
## R 0.000000 0.004219 0.995781
##
## numeric_vote687
## votes[, 1] -1 0 1
## D 0.92063 0.02646 0.05291
## R 0.00000 0.00000 1.00000
##
## numeric_vote688
## votes[, 1] -1 0 1
## D 0.38095 0.04762 0.57143
## R 0.16878 0.01688 0.81435
##
## numeric_vote689
## votes[, 1] 0
## D 1
## R 1
##
## numeric_vote690
## votes[, 1] -1 0 1
## D 0.49206 0.01587 0.49206
## R 0.27848 0.00000 0.72152
##
## numeric_vote691
## votes[, 1] -1 0 1
## D 0.00000 0.06349 0.93651
## R 0.09705 0.06329 0.83966
##
## numeric_vote692
## votes[, 1] 0 1
## D 0.15873 0.84127
## R 0.09283 0.90717
##
## numeric_vote693
## votes[, 1] -1 0 1
## D 0.91534 0.07407 0.01058
## R 0.00000 0.06329 0.93671
##
## numeric_vote694
## votes[, 1] -1 0 1
## D 0.84656 0.06349 0.08995
## R 0.00000 0.08017 0.91983
##
## numeric_vote695
## votes[, 1] 0 1
## D 0.07937 0.92063
## R 0.08017 0.91983
##
## numeric_vote696
## votes[, 1] -1 0 1
## D 0.00000 0.07937 0.92063
## R 0.38397 0.08861 0.52743
##
## numeric_vote697
## votes[, 1] -1 0 1
## D 0.19048 0.05820 0.75132
## R 0.92405 0.07595 0.00000
##
## numeric_vote698
## votes[, 1] -1 0 1
## D 0.05820 0.07407 0.86772
## R 0.01266 0.08017 0.90717
##
## numeric_vote699
## votes[, 1] -1 0 1
## D 0.00000 0.19577 0.80423
## R 0.03797 0.10549 0.85654
##
## numeric_vote700
## votes[, 1] 0 1
## D 0.15344 0.84656
## R 0.07173 0.92827
##
## numeric_vote701
## votes[, 1] 0 1
## D 0.15873 0.84127
## R 0.06751 0.93249
##
## numeric_vote702
## votes[, 1] -1 0 1
## D 0.01058 0.05291 0.93651
## R 0.91561 0.02532 0.05907
##
## numeric_vote703
## votes[, 1] -1 0 1
## D 0.96296 0.03704 0.00000
## R 0.78903 0.02954 0.18143
##
## numeric_vote704
## votes[, 1] -1 0 1
## D 0.000000 0.021164 0.978836
## R 0.966245 0.029536 0.004219
##
## numeric_vote705
## votes[, 1] -1 0 1
## D 0.21693 0.02646 0.75661
## R 0.05485 0.02954 0.91561
##
## numeric_vote706
## votes[, 1] -1 0 1
## D 0.94180 0.03704 0.02116
## R 0.02110 0.02532 0.95359
##
## numeric_vote707
## votes[, 1] -1 0 1
## D 0.92063 0.05820 0.02116
## R 0.00000 0.03797 0.96203
##
## numeric_vote708
## votes[, 1] -1 0 1
## D 0.91534 0.05291 0.03175
## R 0.00000 0.03376 0.96624
##
## numeric_vote709
## votes[, 1] -1 0 1
## D 0.00000 0.04762 0.95238
## R 0.08861 0.05063 0.86076
##
## numeric_vote710
## votes[, 1] -1 0 1
## D 0.000000 0.026455 0.973545
## R 0.974684 0.016878 0.008439
##
## numeric_vote711
## votes[, 1] -1 0 1
## D 0.93122 0.02646 0.04233
## R 0.02532 0.01688 0.95781
##
## numeric_vote712
## votes[, 1] 0 1
## D 0.04762 0.95238
## R 0.03797 0.96203
##
## numeric_vote713
## votes[, 1] -1 0 1
## D 0.00000 0.04233 0.95767
## R 0.07595 0.03797 0.88608
##
## numeric_vote714
## votes[, 1] -1 0 1
## D 0.00000 0.04233 0.95767
## R 0.01266 0.04219 0.94515
##
## numeric_vote715
## votes[, 1] -1 0 1
## D 0.97884 0.02116 0.00000
## R 0.00000 0.01688 0.98312
##
## numeric_vote716
## votes[, 1] -1 0 1
## D 0.962963 0.031746 0.005291
## R 0.000000 0.016878 0.983122
##
## numeric_vote717
## votes[, 1] 0 1
## D 0.03175 0.96825
## R 0.01266 0.98734
##
## numeric_vote718
## votes[, 1] -1 0 1
## D 0.000000 0.074074 0.925926
## R 0.008439 0.042194 0.949367
##
## numeric_vote719
## votes[, 1] -1 0 1
## D 0.94709 0.02116 0.03175
## R 0.20253 0.01688 0.78059
##
## numeric_vote720
## votes[, 1] -1 0 1
## D 0.00000 0.04233 0.95767
## R 0.10549 0.01688 0.87764
##
## numeric_vote721
## votes[, 1] -1 0 1
## D 0.93651 0.05291 0.01058
## R 0.00000 0.01266 0.98734
##
## numeric_vote722
## votes[, 1] -1 0 1
## D 0.947090 0.047619 0.005291
## R 0.000000 0.016878 0.983122
##
## numeric_vote723
## votes[, 1] -1 0 1
## D 0.957672 0.037037 0.005291
## R 0.000000 0.021097 0.978903
##
## numeric_vote724
## votes[, 1] -1 0 1
## D 0.91005 0.04233 0.04762
## R 0.00000 0.02110 0.97890
##
## numeric_vote725
## votes[, 1] -1 0 1
## D 0.920635 0.074074 0.005291
## R 0.000000 0.029536 0.970464
##
## numeric_vote726
## votes[, 1] -1 0 1
## D 0.915344 0.079365 0.005291
## R 0.000000 0.016878 0.983122
##
## numeric_vote727
## votes[, 1] -1 0 1
## D 0.93122 0.03704 0.03175
## R 0.10127 0.01688 0.88186
##
## numeric_vote728
## votes[, 1] -1 0 1
## D 0.04762 0.08995 0.86243
## R 0.94093 0.02954 0.02954
##
## numeric_vote729
## votes[, 1] -1 0 1
## D 0.03704 0.06878 0.89418
## R 0.92827 0.02954 0.04219
##
## numeric_vote730
## votes[, 1] -1 0 1
## D 0.01587 0.06349 0.92063
## R 0.29958 0.03376 0.66667
##
## numeric_vote731
## votes[, 1] -1 0 1
## D 0.03704 0.05820 0.90476
## R 0.89030 0.02532 0.08439
##
## numeric_vote732
## votes[, 1] -1 0 1
## D 0.751323 0.063492 0.185185
## R 0.004219 0.029536 0.966245
##
## numeric_vote733
## votes[, 1] -1 0 1
## D 0.777778 0.047619 0.174603
## R 0.008439 0.021097 0.970464
##
## numeric_vote734
## votes[, 1] -1 0 1
## D 0.09524 0.04762 0.85714
## R 0.97890 0.02110 0.00000
##
## numeric_vote735
## votes[, 1] -1 0 1
## D 0.05291 0.05291 0.89418
## R 0.92405 0.02110 0.05485
##
## numeric_vote736
## votes[, 1] -1 0 1
## D 0.01587 0.04233 0.94180
## R 0.29536 0.02110 0.68354
##
## numeric_vote737
## votes[, 1] -1 0 1
## D 0.89947 0.03175 0.06878
## R 0.06329 0.02110 0.91561
##
## numeric_vote738
## votes[, 1] -1 0 1
## D 0.94180 0.03704 0.02116
## R 0.04641 0.02954 0.92405
##
## numeric_vote739
## votes[, 1] -1 0 1
## D 0.04762 0.04762 0.90476
## R 0.94515 0.02532 0.02954
##
## numeric_vote740
## votes[, 1] -1 0 1
## D 0.005291 0.058201 0.936508
## R 0.962025 0.037975 0.000000
##
## numeric_vote741
## votes[, 1] -1 0 1
## D 0.85714 0.04233 0.10053
## R 0.01688 0.02954 0.95359
##
## numeric_vote742
## votes[, 1] 0 1
## D 0.09524 0.90476
## R 0.06329 0.93671
##
## numeric_vote743
## votes[, 1] 0 1
## D 0.12698 0.87302
## R 0.06329 0.93671
##
## numeric_vote744
## votes[, 1] 0 1
## D 0.10053 0.89947
## R 0.07173 0.92827
##
## numeric_vote745
## votes[, 1] -1 0 1
## D 0.06878 0.04762 0.88360
## R 0.22363 0.02532 0.75105
##
## numeric_vote746
## votes[, 1] -1 0 1
## D 0.85714 0.04233 0.10053
## R 0.00000 0.01266 0.98734
##
## numeric_vote747
## votes[, 1] -1 0 1
## D 0.063492 0.105820 0.830688
## R 0.970464 0.004219 0.025316
##
## numeric_vote748
## votes[, 1] -1 0 1
## D 0.08466 0.07937 0.83598
## R 0.97046 0.01688 0.01266
##
## numeric_vote749
## votes[, 1] -1 0 1
## D 0.09524 0.07937 0.82540
## R 0.97468 0.02532 0.00000
##
## numeric_vote750
## votes[, 1] -1 0 1
## D 0.052910 0.047619 0.899471
## R 0.987342 0.004219 0.008439
##
## numeric_vote751
## votes[, 1] -1 0 1
## D 0.100529 0.042328 0.857143
## R 0.974684 0.016878 0.008439
##
## numeric_vote752
## votes[, 1] -1 0 1
## D 0.084656 0.042328 0.873016
## R 0.983122 0.008439 0.008439
##
## numeric_vote753
## votes[, 1] -1 0 1
## D 0.08466 0.05291 0.86243
## R 0.98312 0.01688 0.00000
##
## numeric_vote754
## votes[, 1] -1 0 1
## D 0.121693 0.042328 0.835979
## R 0.987342 0.004219 0.008439
##
## numeric_vote755
## votes[, 1] -1 0 1
## D 0.058201 0.042328 0.899471
## R 0.983122 0.008439 0.008439
##
## numeric_vote756
## votes[, 1] -1 0 1
## D 0.058201 0.042328 0.899471
## R 0.983122 0.004219 0.012658
##
## numeric_vote757
## votes[, 1] -1 0 1
## D 0.063492 0.047619 0.888889
## R 0.978903 0.004219 0.016878
##
## numeric_vote758
## votes[, 1] -1 0 1
## D 0.084656 0.047619 0.867725
## R 0.991561 0.004219 0.004219
##
## numeric_vote759
## votes[, 1] -1 0 1
## D 0.068783 0.052910 0.878307
## R 0.987342 0.004219 0.008439
##
## numeric_vote760
## votes[, 1] -1 0 1
## D 0.074074 0.042328 0.883598
## R 0.970464 0.021097 0.008439
##
## numeric_vote761
## votes[, 1] -1 0 1
## D 0.10053 0.05291 0.84656
## R 0.98312 0.01688 0.00000
##
## numeric_vote762
## votes[, 1] -1 0 1
## D 0.100529 0.042328 0.857143
## R 0.987342 0.008439 0.004219
##
## numeric_vote763
## votes[, 1] -1 0 1
## D 0.047619 0.042328 0.910053
## R 0.987342 0.008439 0.004219
##
## numeric_vote764
## votes[, 1] -1 0 1
## D 0.830688 0.042328 0.126984
## R 0.008439 0.008439 0.983122
##
## numeric_vote765
## votes[, 1] -1 0 1
## D 0.899471 0.095238 0.005291
## R 0.000000 0.046414 0.953586
##
## numeric_vote766
## votes[, 1] -1 0 1
## D 0.079365 0.063492 0.857143
## R 0.945148 0.046414 0.008439
##
## numeric_vote767
## votes[, 1] -1 0 1
## D 0.100529 0.089947 0.809524
## R 0.919831 0.075949 0.004219
##
## numeric_vote768
## votes[, 1] -1 0 1
## D 0.13757 0.07407 0.78836
## R 0.94515 0.05485 0.00000
##
## numeric_vote769
## votes[, 1] -1 0 1
## D 0.121693 0.084656 0.793651
## R 0.953586 0.042194 0.004219
##
## numeric_vote770
## votes[, 1] -1 0 1
## D 0.13228 0.10582 0.76190
## R 0.93671 0.06329 0.00000
##
## numeric_vote771
## votes[, 1] -1 0 1
## D 0.656085 0.084656 0.259259
## R 0.004219 0.033755 0.962025
##
## numeric_vote772
## votes[, 1] -1 0 1
## D 0.105820 0.052910 0.841270
## R 0.970464 0.021097 0.008439
##
## numeric_vote773
## votes[, 1] -1 0 1
## D 0.084656 0.052910 0.862434
## R 0.970464 0.021097 0.008439
##
## numeric_vote774
## votes[, 1] -1 0 1
## D 0.095238 0.052910 0.851852
## R 0.970464 0.021097 0.008439
##
## numeric_vote775
## votes[, 1] -1 0 1
## D 0.13228 0.05291 0.81481
## R 0.97468 0.02532 0.00000
##
## numeric_vote776
## votes[, 1] -1 0 1
## D 0.079365 0.052910 0.867725
## R 0.970464 0.021097 0.008439
##
## numeric_vote777
## votes[, 1] -1 0 1
## D 0.13228 0.06349 0.80423
## R 0.97890 0.02110 0.00000
##
## numeric_vote778
## votes[, 1] -1 0 1
## D 0.08466 0.05291 0.86243
## R 0.96203 0.02110 0.01688
##
## numeric_vote779
## votes[, 1] -1 0 1
## D 0.142857 0.052910 0.804233
## R 0.974684 0.021097 0.004219
##
## numeric_vote780
## votes[, 1] -1 0 1
## D 0.005291 0.015873 0.978836
## R 0.974684 0.008439 0.016878
##
## numeric_vote781
## votes[, 1] -1 0 1
## D 0.820106 0.015873 0.164021
## R 0.037975 0.004219 0.957806
##
## numeric_vote782
## votes[, 1] -1 0 1
## D 0.634921 0.015873 0.349206
## R 0.025316 0.004219 0.970464
##
## numeric_vote783
## votes[, 1] -1 0 1
## D 0.671958 0.015873 0.312169
## R 0.088608 0.004219 0.907173
##
## numeric_vote784
## votes[, 1] -1 0 1
## D 0.000000 0.015873 0.984127
## R 0.510549 0.004219 0.485232
##
## numeric_vote785
## votes[, 1] -1 0 1
## D 0.005291 0.042328 0.952381
## R 0.021097 0.004219 0.974684
##
## numeric_vote786
## votes[, 1] -1 0 1
## D 0.89947 0.04233 0.05820
## R 0.00000 0.01688 0.98312
##
## numeric_vote787
## votes[, 1] -1 0 1
## D 0.074074 0.037037 0.888889
## R 0.978903 0.008439 0.012658
##
## numeric_vote788
## votes[, 1] -1 0 1
## D 0.06349 0.03704 0.89947
## R 0.98312 0.01688 0.00000
##
## numeric_vote789
## votes[, 1] -1 0 1
## D 0.883598 0.037037 0.079365
## R 0.008439 0.012658 0.978903
##
## numeric_vote790
## votes[, 1] -1 0 1
## D 0.068783 0.052910 0.878307
## R 0.966245 0.029536 0.004219
##
## numeric_vote791
## votes[, 1] -1 0 1
## D 0.74074 0.04762 0.21164
## R 0.00000 0.02532 0.97468
##
## numeric_vote792
## votes[, 1] -1 0 1
## D 0.86243 0.10053 0.03704
## R 0.00000 0.04641 0.95359
##
## numeric_vote793
## votes[, 1] -1 0 1
## D 0.84656 0.08995 0.06349
## R 0.00000 0.03797 0.96203
##
## numeric_vote794
## votes[, 1] -1 0 1
## D 0.05291 0.07937 0.86772
## R 0.93671 0.04641 0.01688
##
## numeric_vote795
## votes[, 1] -1 0 1
## D 0.04762 0.07407 0.87831
## R 0.92405 0.06329 0.01266
##
## numeric_vote796
## votes[, 1] -1 0 1
## D 0.02646 0.07407 0.89947
## R 0.90717 0.04641 0.04641
##
## numeric_vote797
## votes[, 1] -1 0 1
## D 0.074074 0.084656 0.841270
## R 0.940928 0.050633 0.008439
##
## numeric_vote798
## votes[, 1] -1 0 1
## D 0.07407 0.06878 0.85714
## R 0.91983 0.04641 0.03376
##
## numeric_vote799
## votes[, 1] -1 0 1
## D 0.02646 0.07937 0.89418
## R 0.96624 0.03376 0.00000
##
## numeric_vote800
## votes[, 1] -1 0 1
## D 0.73545 0.07407 0.19048
## R 0.01266 0.03376 0.95359
##
## numeric_vote801
## votes[, 1] -1 0 1
## D 0.000000 0.126984 0.873016
## R 0.004219 0.063291 0.932489
##
## numeric_vote802
## votes[, 1] 0 1
## D 0.11111 0.88889
## R 0.06751 0.93249
##
## numeric_vote803
## votes[, 1] -1 0 1
## D 0.92593 0.03175 0.04233
## R 0.00000 0.01688 0.98312
##
## numeric_vote804
## votes[, 1] 0 1
## D 0.03704 0.96296
## R 0.01688 0.98312
##
## numeric_vote805
## votes[, 1] -1 0 1
## D 0.01058 0.03175 0.95767
## R 0.95781 0.02110 0.02110
##
## numeric_vote806
## votes[, 1] -1 0 1
## D 0.04762 0.06878 0.88360
## R 0.94937 0.03797 0.01266
##
## numeric_vote807
## votes[, 1] -1 0 1
## D 0.031746 0.026455 0.941799
## R 0.970464 0.025316 0.004219
##
## numeric_vote808
## votes[, 1] -1 0 1
## D 0.00000 0.02646 0.97354
## R 0.98312 0.01688 0.00000
##
## numeric_vote809
## votes[, 1] -1 0 1
## D 0.92593 0.03704 0.03704
## R 0.03376 0.02110 0.94515
##
## numeric_vote810
## votes[, 1] -1 0 1
## D 0.92593 0.04233 0.03175
## R 0.00000 0.01688 0.98312
##
## numeric_vote811
## votes[, 1] -1 0 1
## D 0.89947 0.02116 0.07937
## R 0.00000 0.01688 0.98312
##
## numeric_vote812
## votes[, 1] -1 0 1
## D 0.00000 0.03175 0.96825
## R 0.01266 0.03376 0.95359
##
## numeric_vote813
## votes[, 1] -1 0 1
## D 0.82011 0.04233 0.13757
## R 0.00000 0.02110 0.97890
##
## numeric_vote814
## votes[, 1] -1 0 1
## D 0.01058 0.03704 0.95238
## R 0.97046 0.02954 0.00000
##
## numeric_vote815
## votes[, 1] -1 0 1
## D 0.08466 0.03175 0.88360
## R 0.00000 0.02532 0.97468
##
## numeric_vote816
## votes[, 1] -1 0 1
## D 0.042328 0.111111 0.846561
## R 0.004219 0.029536 0.966245
##
## numeric_vote817
## votes[, 1] 0 1
## D 0.10582 0.89418
## R 0.02954 0.97046
##
## numeric_vote818
## votes[, 1] 0 1
## D 0.037037 0.962963
## R 0.004219 0.995781
##
## numeric_vote819
## votes[, 1] -1 0 1
## D 0.005291 0.037037 0.957672
## R 0.004219 0.016878 0.978903
##
## numeric_vote820
## votes[, 1] -1 0 1
## D 0.005291 0.042328 0.952381
## R 0.000000 0.012658 0.987342
##
## numeric_vote821
## votes[, 1] -1 0 1
## D 0.95767 0.02646 0.01587
## R 0.00000 0.01266 0.98734
##
## numeric_vote822
## votes[, 1] -1 0 1
## D 0.005291 0.026455 0.968254
## R 0.662447 0.012658 0.324895
##
## numeric_vote823
## votes[, 1] -1 0 1
## D 0.00000 0.03175 0.96825
## R 0.97046 0.01688 0.01266
##
## numeric_vote824
## votes[, 1] -1 0 1
## D 0.00000 0.02646 0.97354
## R 0.98312 0.01688 0.00000
##
## numeric_vote825
## votes[, 1] -1 0 1
## D 0.08995 0.03175 0.87831
## R 0.00000 0.01266 0.98734
##
## numeric_vote826
## votes[, 1] -1 0 1
## D 0.03175 0.02116 0.94709
## R 0.94937 0.02110 0.02954
##
## numeric_vote827
## votes[, 1] -1 0 1
## D 0.000000 0.021164 0.978836
## R 0.978903 0.012658 0.008439
##
## numeric_vote828
## votes[, 1] -1 0 1
## D 0.05820 0.03175 0.91005
## R 0.00000 0.01266 0.98734
##
## numeric_vote829
## votes[, 1] -1 0 1
## D 0.920635 0.074074 0.005291
## R 0.000000 0.033755 0.966245
##
## numeric_vote830
## votes[, 1] -1 0 1
## D 0.86243 0.07937 0.05820
## R 0.00000 0.02954 0.97046
##
## numeric_vote831
## votes[, 1] -1 0 1
## D 0.01058 0.14286 0.84656
## R 0.00000 0.07173 0.92827
##
## numeric_vote832
## votes[, 1] -1 0 1
## D 0.005291 0.095238 0.899471
## R 0.936709 0.059072 0.004219
##
## numeric_vote833
## votes[, 1] -1 0 1
## D 0.06349 0.10053 0.83598
## R 0.86076 0.05907 0.08017
##
## numeric_vote834
## votes[, 1] -1 0 1
## D 0.07937 0.10053 0.82011
## R 0.09283 0.05485 0.85232
##
## numeric_vote835
## votes[, 1] -1 0 1
## D 0.07937 0.09524 0.82540
## R 0.86920 0.06751 0.06329
##
## numeric_vote836
## votes[, 1] -1 0 1
## D 0.14815 0.10053 0.75132
## R 0.86498 0.06751 0.06751
##
## numeric_vote837
## votes[, 1] 0 1
## D 0.15344 0.84656
## R 0.08017 0.91983
##
## numeric_vote838
## votes[, 1] 0 1
## D 0.13757 0.86243
## R 0.06751 0.93249
##
## numeric_vote839
## votes[, 1] 0 1
## D 0.14286 0.85714
## R 0.06751 0.93249
##
## numeric_vote840
## votes[, 1] -1 0 1
## D 0.35450 0.02646 0.61905
## R 0.12658 0.02532 0.84810
##
## numeric_vote841
## votes[, 1] -1 0 1
## D 0.000000 0.021164 0.978836
## R 0.974684 0.021097 0.004219
##
## numeric_vote842
## votes[, 1] -1 0 1
## D 0.80423 0.02116 0.17460
## R 0.00000 0.02110 0.97890
##
## numeric_vote843
## votes[, 1] -1 0 1
## D 0.32275 0.01587 0.66138
## R 0.91139 0.02954 0.05907
##
## numeric_vote844
## votes[, 1] -1 0 1
## D 0.21693 0.03175 0.75132
## R 0.95781 0.02532 0.01688
##
## numeric_vote845
## votes[, 1] -1 0 1
## D 0.222222 0.010582 0.767196
## R 0.970464 0.025316 0.004219
##
## numeric_vote846
## votes[, 1] -1 0 1
## D 0.259259 0.015873 0.724868
## R 0.966245 0.029536 0.004219
##
## numeric_vote847
## votes[, 1] -1 0 1
## D 0.23280 0.01058 0.75661
## R 0.97468 0.02532 0.00000
##
## numeric_vote848
## votes[, 1] -1 0 1
## D 0.211640 0.010582 0.777778
## R 0.974684 0.021097 0.004219
##
## numeric_vote849
## votes[, 1] -1 0 1
## D 0.33333 0.02116 0.64550
## R 0.97046 0.02954 0.00000
##
## numeric_vote850
## votes[, 1] -1 0 1
## D 0.216931 0.021164 0.761905
## R 0.970464 0.025316 0.004219
##
## numeric_vote851
## votes[, 1] -1 0 1
## D 0.14815 0.01058 0.84127
## R 0.97046 0.02954 0.00000
##
## numeric_vote852
## votes[, 1] -1 0 1
## D 0.77249 0.01058 0.21693
## R 0.02532 0.02110 0.95359
##
## numeric_vote853
## votes[, 1] 0 1
## D 0.01058 0.98942
## R 0.03797 0.96203
##
## numeric_vote854
## votes[, 1] -1 0 1
## D 0.89947 0.03175 0.06878
## R 0.00000 0.04641 0.95359
##
## numeric_vote855
## votes[, 1] -1 0 1
## D 0.87831 0.03175 0.08995
## R 0.00000 0.04219 0.95781
##
## numeric_vote856
## votes[, 1] -1 0 1
## D 0.80952 0.03175 0.15873
## R 0.00000 0.03797 0.96203
##
## numeric_vote857
## votes[, 1] -1 0 1
## D 0.10582 0.03704 0.85714
## R 0.42194 0.02954 0.54852
##
## numeric_vote858
## votes[, 1] -1 0 1
## D 0.846561 0.031746 0.121693
## R 0.016878 0.008439 0.974684
##
## numeric_vote859
## votes[, 1] -1 0 1
## D 0.86772 0.10582 0.02646
## R 0.00000 0.02954 0.97046
##
## numeric_vote860
## votes[, 1] -1 0 1
## D 0.01058 0.05820 0.93122
## R 0.05485 0.07595 0.86920
##
## numeric_vote861
## votes[, 1] -1 0 1
## D 0.000000 0.047619 0.952381
## R 0.004219 0.067511 0.928270
##
## numeric_vote862
## votes[, 1] 0 1
## D 0.06878 0.93122
## R 0.06751 0.93249
##
## numeric_vote863
## votes[, 1] -1 0 1
## D 0.04233 0.04233 0.91534
## R 0.96624 0.03376 0.00000
##
## numeric_vote864
## votes[, 1] -1 0 1
## D 0.01058 0.04762 0.94180
## R 0.93671 0.03797 0.02532
##
## numeric_vote865
## votes[, 1] -1 0 1
## D 0.04233 0.02646 0.93122
## R 0.95359 0.03376 0.01266
##
## numeric_vote866
## votes[, 1] -1 0 1
## D 0.005291 0.026455 0.968254
## R 0.915612 0.029536 0.054852
##
## numeric_vote867
## votes[, 1] -1 0 1
## D 0.03704 0.02116 0.94180
## R 0.94937 0.02110 0.02954
##
## numeric_vote868
## votes[, 1] -1 0 1
## D 0.021164 0.021164 0.957672
## R 0.974684 0.021097 0.004219
##
## numeric_vote869
## votes[, 1] -1 0 1
## D 0.93651 0.03175 0.03175
## R 0.03376 0.01688 0.94937
##
## numeric_vote870
## votes[, 1] -1 0 1
## D 0.95767 0.02116 0.02116
## R 0.00000 0.02532 0.97468
##
## numeric_vote871
## votes[, 1] -1 0 1
## D 0.92593 0.03704 0.03704
## R 0.00000 0.03797 0.96203
##
## numeric_vote872
## votes[, 1] -1 0 1
## D 0.000000 0.015873 0.984127
## R 0.978903 0.016878 0.004219
##
## numeric_vote873
## votes[, 1] -1 0 1
## D 0.984127 0.015873 0.000000
## R 0.004219 0.021097 0.974684
##
## numeric_vote874
## votes[, 1] -1 0 1
## D 0.058201 0.047619 0.894180
## R 0.966245 0.029536 0.004219
##
## numeric_vote875
## votes[, 1] -1 0 1
## D 0.06878 0.04233 0.88889
## R 0.97468 0.02532 0.00000
##
## numeric_vote876
## votes[, 1] -1 0 1
## D 0.052910 0.026455 0.920635
## R 0.966245 0.025316 0.008439
##
## numeric_vote877
## votes[, 1] -1 0 1
## D 0.10053 0.03175 0.86772
## R 0.96203 0.02110 0.01688
##
## numeric_vote878
## votes[, 1] -1 0 1
## D 0.08466 0.03175 0.88360
## R 0.97046 0.02954 0.00000
##
## numeric_vote879
## votes[, 1] -1 0 1
## D 0.000000 0.031746 0.968254
## R 0.966245 0.025316 0.008439
##
## numeric_vote880
## votes[, 1] -1 0 1
## D 0.83598 0.02646 0.13757
## R 0.00000 0.02532 0.97468
##
## numeric_vote881
## votes[, 1] 0 1
## D 0.03175 0.96825
## R 0.03376 0.96624
##
## numeric_vote882
## votes[, 1] -1 0 1
## D 0.02116 0.02646 0.95238
## R 0.94937 0.03376 0.01688
##
## numeric_vote883
## votes[, 1] -1 0 1
## D 0.10582 0.05291 0.84127
## R 0.95781 0.04219 0.00000
##
## numeric_vote884
## votes[, 1] -1 0 1
## D 0.06349 0.04762 0.88889
## R 0.95781 0.04219 0.00000
##
## numeric_vote885
## votes[, 1] -1 0 1
## D 0.074074 0.026455 0.899471
## R 0.970464 0.025316 0.004219
##
## numeric_vote886
## votes[, 1] -1 0 1
## D 0.074074 0.021164 0.904762
## R 0.970464 0.025316 0.004219
##
## numeric_vote887
## votes[, 1] -1 0 1
## D 0.015873 0.026455 0.957672
## R 0.957806 0.033755 0.008439
##
## numeric_vote888
## votes[, 1] -1 0 1
## D 0.86772 0.03175 0.10053
## R 0.00000 0.02532 0.97468
##
## numeric_vote889
## votes[, 1] -1 0 1
## D 0.957672 0.037037 0.005291
## R 0.000000 0.025316 0.974684
##
## numeric_vote890
## votes[, 1] -1 0 1
## D 0.93651 0.03704 0.02646
## R 0.00000 0.04641 0.95359
##
## numeric_vote891
## votes[, 1] -1 0 1
## D 0.56614 0.03704 0.39683
## R 0.02954 0.02954 0.94093
##
## numeric_vote892
## votes[, 1] -1 0 1
## D 0.000000 0.037037 0.962963
## R 0.008439 0.012658 0.978903
##
## numeric_vote893
## votes[, 1] -1 0 1
## D 0.074074 0.031746 0.894180
## R 0.008439 0.016878 0.974684
##
## numeric_vote894
## votes[, 1] -1 0 1
## D 0.005291 0.042328 0.952381
## R 0.050633 0.012658 0.936709
##
## numeric_vote895
## votes[, 1] -1 0 1
## D 0.01587 0.02646 0.95767
## R 0.96624 0.02110 0.01266
##
## numeric_vote896
## votes[, 1] -1 0 1
## D 0.03704 0.03175 0.93122
## R 0.95781 0.02532 0.01688
##
## numeric_vote897
## votes[, 1] -1 0 1
## D 0.05291 0.02646 0.92063
## R 0.97890 0.02110 0.00000
##
## numeric_vote898
## votes[, 1] -1 0 1
## D 0.03704 0.04233 0.92063
## R 0.97468 0.02532 0.00000
##
## numeric_vote899
## votes[, 1] -1 0 1
## D 0.026455 0.026455 0.947090
## R 0.974684 0.021097 0.004219
##
## numeric_vote900
## votes[, 1] -1 0 1
## D 0.000000 0.058201 0.941799
## R 0.974684 0.016878 0.008439
##
## numeric_vote901
## votes[, 1] -1 0 1
## D 0.95767 0.02116 0.02116
## R 0.00000 0.01688 0.98312
##
## numeric_vote902
## votes[, 1] -1 0 1
## D 0.89947 0.06878 0.03175
## R 0.00000 0.02532 0.97468
##
## numeric_vote903
## votes[, 1] -1 0 1
## D 0.84127 0.07407 0.08466
## R 0.00000 0.03797 0.96203
##
## numeric_vote904
## votes[, 1] -1 0 1
## D 0.43386 0.06878 0.49735
## R 0.06329 0.02110 0.91561
##
## numeric_vote905
## votes[, 1] -1 0 1
## D 0.29101 0.08995 0.61905
## R 0.15612 0.04219 0.80169
##
## numeric_vote906
## votes[, 1] -1 0 1
## D 0.13757 0.07937 0.78307
## R 0.94515 0.05485 0.00000
##
## numeric_vote907
## votes[, 1] -1 0 1
## D 0.116402 0.063492 0.820106
## R 0.949367 0.046414 0.004219
##
## numeric_vote908
## votes[, 1] -1 0 1
## D 0.089947 0.058201 0.851852
## R 0.962025 0.033755 0.004219
##
## numeric_vote909
## votes[, 1] -1 0 1
## D 0.126984 0.058201 0.814815
## R 0.962025 0.029536 0.008439
##
## numeric_vote910
## votes[, 1] -1 0 1
## D 0.10053 0.05291 0.84656
## R 0.94937 0.02532 0.02532
##
## numeric_vote911
## votes[, 1] -1 0 1
## D 0.08995 0.04762 0.86243
## R 0.97468 0.02532 0.00000
##
## numeric_vote912
## votes[, 1] -1 0 1
## D 0.78307 0.04762 0.16931
## R 0.00000 0.02532 0.97468
##
## numeric_vote913
## votes[, 1] 0 1
## D 0.2222 0.7778
## R 0.1688 0.8312
##
## numeric_vote914
## votes[, 1] -1 0 1
## D 0.000000 0.206349 0.793651
## R 0.004219 0.168776 0.827004
##
## numeric_vote915
## votes[, 1] -1 0 1
## D 0.1693 0.2116 0.6190
## R 0.1688 0.1772 0.6540
##
## numeric_vote916
## votes[, 1] -1 0
## D 0.7937 0.2063
## R 0.8354 0.1646
##
## numeric_vote917
## votes[, 1] -1 0 1
## D 0.90476 0.08466 0.01058
## R 0.00000 0.06751 0.93249
##
## numeric_vote918
## votes[, 1] -1 0 1
## D 0.94709 0.03704 0.01587
## R 0.00000 0.03376 0.96624
##
## numeric_vote919
## votes[, 1] -1 0 1
## D 0.93651 0.04762 0.01587
## R 0.00000 0.03376 0.96624
##
## numeric_vote920
## votes[, 1] 0 1
## D 0.04762 0.95238
## R 0.03797 0.96203
##
## numeric_vote921
## votes[, 1] -1 0 1
## D 0.000000 0.037037 0.962963
## R 0.004219 0.033755 0.962025
##
## numeric_vote922
## votes[, 1] -1 0 1
## D 0.03175 0.01587 0.95238
## R 0.98734 0.01266 0.00000
##
## numeric_vote923
## votes[, 1] -1 0 1
## D 0.93122 0.01587 0.05291
## R 0.05907 0.01266 0.92827
##
## numeric_vote924
## votes[, 1] 0 1
## D 0.03175 0.96825
## R 0.02954 0.97046
##
## numeric_vote925
## votes[, 1] -1 0 1
## D 0.89947 0.07407 0.02646
## R 0.00000 0.04641 0.95359
##
## numeric_vote926
## votes[, 1] -1 0 1
## D 0.873016 0.063492 0.063492
## R 0.008439 0.029536 0.962025
##
## numeric_vote927
## votes[, 1] -1 0 1
## D 0.047619 0.031746 0.920635
## R 0.008439 0.025316 0.966245
##
## numeric_vote928
## votes[, 1] -1 0 1
## D 0.01058 0.03175 0.95767
## R 0.00000 0.02954 0.97046
##
## numeric_vote929
## votes[, 1] 0 1
## D 0.03704 0.96296
## R 0.04219 0.95781
##
## numeric_vote930
## votes[, 1] -1 0 1
## D 0.000000 0.031746 0.968254
## R 0.004219 0.033755 0.962025
##
## numeric_vote931
## votes[, 1] -1 0 1
## D 0.005291 0.042328 0.952381
## R 0.966245 0.033755 0.000000
##
## numeric_vote932
## votes[, 1] -1 0 1
## D 0.48148 0.03175 0.48677
## R 0.18143 0.03376 0.78481
##
## numeric_vote933
## votes[, 1] -1 0 1
## D 0.17989 0.04762 0.77249
## R 0.19831 0.04641 0.75527
##
## numeric_vote934
## votes[, 1] -1 0 1
## D 0.000000 0.047619 0.952381
## R 0.004219 0.046414 0.949367
##
## numeric_vote935
## votes[, 1] 0 1
## D 0.04762 0.95238
## R 0.03376 0.96624
##
## numeric_vote936
## votes[, 1] -1 0 1
## D 0.00000 0.05820 0.94180
## R 0.01688 0.04641 0.93671
##
## numeric_vote937
## votes[, 1] -1 0 1
## D 0.93122 0.04233 0.02646
## R 0.00000 0.02954 0.97046
##
## numeric_vote938
## votes[, 1] -1 0 1
## D 0.85185 0.04762 0.10053
## R 0.00000 0.03376 0.96624
##
## numeric_vote939
## votes[, 1] -1 0 1
## D 0.09524 0.03704 0.86772
## R 0.01688 0.02954 0.95359
##
## numeric_vote940
## votes[, 1] 0 1
## D 0.05291 0.94709
## R 0.04219 0.95781
##
## numeric_vote941
## votes[, 1] -1 0 1
## D 0.17460 0.04233 0.78307
## R 0.35865 0.03376 0.60759
##
## numeric_vote942
## votes[, 1] -1 0 1
## D 0.86243 0.03175 0.10582
## R 0.00000 0.02954 0.97046
##
## numeric_vote943
## votes[, 1] -1 0 1
## D 0.005291 0.047619 0.947090
## R 0.278481 0.025316 0.696203
##
## numeric_vote944
## votes[, 1] -1 0 1
## D 0.968254 0.031746 0.000000
## R 0.004219 0.029536 0.966245
##
## numeric_vote945
## votes[, 1] -1 0 1
## D 0.968254 0.031746 0.000000
## R 0.004219 0.037975 0.957806
##
## numeric_vote946
## votes[, 1] -1 0 1
## D 0.96825 0.03175 0.00000
## R 0.02954 0.02110 0.94937
##
## numeric_vote947
## votes[, 1] -1 0 1
## D 0.96296 0.03704 0.00000
## R 0.01266 0.02954 0.95781
##
## numeric_vote948
## votes[, 1] -1 0 1
## D 0.015873 0.037037 0.947090
## R 0.970464 0.021097 0.008439
##
## numeric_vote949
## votes[, 1] -1 0 1
## D 0.92063 0.07937 0.00000
## R 0.03376 0.02954 0.93671
m$tables$numeric_vote663
## numeric_vote663
## votes[, 1] -1 0 1
## D 0.962963 0.037037 0.000000
## R 0.000000 0.004219 0.995781
This corresponds to a particular bill.
This means our model we can not predict someone to be a Republican if they voted against this bill. The Laplace smoothing helps alleviate this phenomenon by introducing a biased estimate of the probability.
m = naiveBayes(votes[, -1], votes[, 1], laplace = 1)
m$tables$numeric_vote663
## numeric_vote663
## votes[, 1] -1 0 1
## D 0.953125 0.041667 0.005208
## R 0.004167 0.008333 0.987500
table(votes$party, predict(m, votes[, -1]))
##
## D R
## D 188 1
## R 0 237