R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- array(list(140824
+ ,186099
+ ,32033
+ ,165
+ ,165
+ ,130
+ ,279055
+ ,110459
+ ,113854
+ ,20654
+ ,135
+ ,132
+ ,143
+ ,212408
+ ,105079
+ ,99776
+ ,16346
+ ,121
+ ,121
+ ,118
+ ,233939
+ ,112098
+ ,106194
+ ,35926
+ ,148
+ ,145
+ ,146
+ ,222117
+ ,43929
+ ,100792
+ ,10621
+ ,73
+ ,71
+ ,73
+ ,179751
+ ,76173
+ ,47552
+ ,10024
+ ,49
+ ,47
+ ,89
+ ,70849
+ ,187326
+ ,250931
+ ,43068
+ ,185
+ ,177
+ ,146
+ ,599777
+ ,22807
+ ,6853
+ ,1271
+ ,5
+ ,5
+ ,22
+ ,33186
+ ,144408
+ ,115466
+ ,34416
+ ,125
+ ,124
+ ,132
+ ,227332
+ ,66485
+ ,110896
+ ,20318
+ ,93
+ ,92
+ ,92
+ ,258874
+ ,79089
+ ,169351
+ ,24409
+ ,154
+ ,149
+ ,147
+ ,359064
+ ,81625
+ ,94853
+ ,20648
+ ,98
+ ,93
+ ,203
+ ,264989
+ ,68788
+ ,72591
+ ,12347
+ ,70
+ ,70
+ ,113
+ ,209202
+ ,103297
+ ,101345
+ ,21857
+ ,148
+ ,148
+ ,171
+ ,368577
+ ,69446
+ ,113713
+ ,11034
+ ,100
+ ,100
+ ,87
+ ,269455
+ ,114948
+ ,165354
+ ,33433
+ ,150
+ ,142
+ ,208
+ ,397286
+ ,167949
+ ,164263
+ ,35902
+ ,197
+ ,194
+ ,153
+ ,335567
+ ,125081
+ ,135213
+ ,22355
+ ,114
+ ,113
+ ,97
+ ,428322
+ ,125818
+ ,111669
+ ,31219
+ ,169
+ ,162
+ ,95
+ ,182016
+ ,136588
+ ,134163
+ ,21983
+ ,200
+ ,186
+ ,197
+ ,267365
+ ,112431
+ ,140303
+ ,40085
+ ,148
+ ,147
+ ,160
+ ,279428
+ ,103037
+ ,150773
+ ,18507
+ ,140
+ ,137
+ ,148
+ ,508849
+ ,82317
+ ,111848
+ ,16278
+ ,74
+ ,71
+ ,84
+ ,206722
+ ,118906
+ ,102509
+ ,24662
+ ,128
+ ,123
+ ,227
+ ,200004
+ ,83515
+ ,96785
+ ,31452
+ ,140
+ ,134
+ ,154
+ ,257139
+ ,104581
+ ,116136
+ ,32580
+ ,116
+ ,115
+ ,151
+ ,270941
+ ,103129
+ ,158376
+ ,22883
+ ,147
+ ,138
+ ,142
+ ,296850
+ ,83243
+ ,153990
+ ,27652
+ ,132
+ ,125
+ ,148
+ ,329962
+ ,37110
+ ,64057
+ ,9845
+ ,70
+ ,66
+ ,110
+ ,187155
+ ,113344
+ ,230054
+ ,20190
+ ,144
+ ,137
+ ,149
+ ,393860
+ ,139165
+ ,184531
+ ,46201
+ ,155
+ ,152
+ ,179
+ ,327660
+ ,86652
+ ,114198
+ ,10971
+ ,165
+ ,159
+ ,149
+ ,269239
+ ,112302
+ ,198299
+ ,34811
+ ,161
+ ,159
+ ,187
+ ,386982
+ ,69652
+ ,33750
+ ,3029
+ ,31
+ ,31
+ ,153
+ ,130446
+ ,119442
+ ,189723
+ ,38941
+ ,199
+ ,185
+ ,163
+ ,430118
+ ,69867
+ ,100826
+ ,4958
+ ,78
+ ,78
+ ,127
+ ,273950
+ ,101629
+ ,188355
+ ,32344
+ ,121
+ ,117
+ ,151
+ ,428077
+ ,70168
+ ,104470
+ ,19433
+ ,112
+ ,109
+ ,100
+ ,254312
+ ,31081
+ ,58391
+ ,12558
+ ,41
+ ,41
+ ,46
+ ,120351
+ ,103925
+ ,164808
+ ,36524
+ ,158
+ ,149
+ ,156
+ ,395643
+ ,92622
+ ,134097
+ ,26041
+ ,123
+ ,123
+ ,128
+ ,345875
+ ,79011
+ ,80238
+ ,16637
+ ,104
+ ,103
+ ,111
+ ,212715
+ ,93487
+ ,133252
+ ,28395
+ ,94
+ ,87
+ ,119
+ ,224524
+ ,64520
+ ,54518
+ ,16747
+ ,73
+ ,71
+ ,148
+ ,182485
+ ,93473
+ ,121850
+ ,9105
+ ,52
+ ,51
+ ,65
+ ,157164
+ ,114360
+ ,79367
+ ,11941
+ ,71
+ ,70
+ ,134
+ ,459455
+ ,33032
+ ,56968
+ ,7935
+ ,21
+ ,21
+ ,66
+ ,78800
+ ,96125
+ ,106314
+ ,19499
+ ,155
+ ,155
+ ,201
+ ,217932
+ ,151911
+ ,191889
+ ,22938
+ ,174
+ ,172
+ ,177
+ ,368086
+ ,89256
+ ,104864
+ ,25314
+ ,136
+ ,133
+ ,156
+ ,228688
+ ,95676
+ ,160792
+ ,28527
+ ,128
+ ,125
+ ,158
+ ,244765
+ ,5950
+ ,15049
+ ,2694
+ ,7
+ ,7
+ ,7
+ ,24188
+ ,149695
+ ,191179
+ ,20867
+ ,165
+ ,158
+ ,175
+ ,400109
+ ,32551
+ ,25109
+ ,3597
+ ,21
+ ,21
+ ,61
+ ,65029
+ ,31701
+ ,45824
+ ,5296
+ ,35
+ ,35
+ ,41
+ ,101097
+ ,100087
+ ,129711
+ ,32982
+ ,137
+ ,133
+ ,133
+ ,305666
+ ,169707
+ ,210012
+ ,38975
+ ,174
+ ,169
+ ,228
+ ,369627
+ ,150491
+ ,194679
+ ,42721
+ ,257
+ ,256
+ ,140
+ ,367127
+ ,120192
+ ,197680
+ ,41455
+ ,207
+ ,190
+ ,155
+ ,377704
+ ,95893
+ ,81180
+ ,23923
+ ,103
+ ,100
+ ,141
+ ,280106
+ ,151715
+ ,197765
+ ,26719
+ ,171
+ ,171
+ ,181
+ ,400971
+ ,176225
+ ,214738
+ ,53405
+ ,279
+ ,267
+ ,75
+ ,315924
+ ,59900
+ ,96252
+ ,12526
+ ,83
+ ,80
+ ,97
+ ,291391
+ ,104767
+ ,124527
+ ,26584
+ ,130
+ ,126
+ ,142
+ ,295075
+ ,114799
+ ,153242
+ ,37062
+ ,131
+ ,132
+ ,136
+ ,280018
+ ,72128
+ ,145707
+ ,25696
+ ,126
+ ,121
+ ,87
+ ,267432
+ ,143592
+ ,113963
+ ,24634
+ ,158
+ ,156
+ ,140
+ ,217181
+ ,89626
+ ,134904
+ ,27269
+ ,138
+ ,133
+ ,169
+ ,258166
+ ,131072
+ ,114268
+ ,25270
+ ,200
+ ,199
+ ,129
+ ,260919
+ ,126817
+ ,94333
+ ,24634
+ ,104
+ ,98
+ ,92
+ ,182961
+ ,81351
+ ,102204
+ ,17828
+ ,111
+ ,109
+ ,160
+ ,256967
+ ,22618
+ ,23824
+ ,3007
+ ,26
+ ,25
+ ,67
+ ,73566
+ ,88977
+ ,111563
+ ,20065
+ ,115
+ ,113
+ ,179
+ ,272362
+ ,92059
+ ,91313
+ ,24648
+ ,127
+ ,126
+ ,90
+ ,229056
+ ,81897
+ ,89770
+ ,21588
+ ,140
+ ,137
+ ,144
+ ,229851
+ ,108146
+ ,100125
+ ,25217
+ ,121
+ ,121
+ ,144
+ ,371391
+ ,126372
+ ,165278
+ ,30927
+ ,183
+ ,178
+ ,144
+ ,398210
+ ,249771
+ ,181712
+ ,18487
+ ,68
+ ,63
+ ,134
+ ,220419
+ ,71154
+ ,80906
+ ,18050
+ ,112
+ ,109
+ ,146
+ ,231884
+ ,71571
+ ,75881
+ ,17696
+ ,103
+ ,101
+ ,121
+ ,217714
+ ,55918
+ ,83963
+ ,17326
+ ,63
+ ,61
+ ,112
+ ,200046
+ ,160141
+ ,175721
+ ,39361
+ ,166
+ ,157
+ ,145
+ ,483074
+ ,38692
+ ,68580
+ ,9648
+ ,38
+ ,38
+ ,99
+ ,145943
+ ,102812
+ ,136323
+ ,26759
+ ,163
+ ,159
+ ,96
+ ,295224
+ ,56622
+ ,55792
+ ,7905
+ ,59
+ ,58
+ ,27
+ ,80953
+ ,15986
+ ,25157
+ ,4527
+ ,27
+ ,27
+ ,77
+ ,217384
+ ,123534
+ ,100922
+ ,41517
+ ,108
+ ,108
+ ,137
+ ,179344
+ ,108535
+ ,118845
+ ,21261
+ ,88
+ ,83
+ ,151
+ ,415550
+ ,93879
+ ,170492
+ ,36099
+ ,92
+ ,88
+ ,126
+ ,389059
+ ,144551
+ ,81716
+ ,39039
+ ,170
+ ,164
+ ,159
+ ,180679
+ ,56750
+ ,115750
+ ,13841
+ ,98
+ ,96
+ ,101
+ ,299505
+ ,127654
+ ,105590
+ ,23841
+ ,205
+ ,192
+ ,144
+ ,292260
+ ,65594
+ ,92795
+ ,8589
+ ,96
+ ,94
+ ,102
+ ,199481
+ ,59938
+ ,82390
+ ,15049
+ ,107
+ ,107
+ ,135
+ ,282361
+ ,146975
+ ,135599
+ ,39038
+ ,150
+ ,144
+ ,147
+ ,329281
+ ,165904
+ ,127667
+ ,36774
+ ,138
+ ,136
+ ,155
+ ,234577
+ ,169265
+ ,163073
+ ,40076
+ ,177
+ ,171
+ ,138
+ ,297995
+ ,183500
+ ,211381
+ ,43840
+ ,213
+ ,210
+ ,113
+ ,329583
+ ,165986
+ ,189944
+ ,43146
+ ,208
+ ,193
+ ,248
+ ,416463
+ ,184923
+ ,226168
+ ,50099
+ ,307
+ ,297
+ ,116
+ ,415683
+ ,140358
+ ,117495
+ ,40312
+ ,125
+ ,125
+ ,176
+ ,297080
+ ,149959
+ ,195894
+ ,32616
+ ,208
+ ,204
+ ,140
+ ,318283
+ ,57224
+ ,80684
+ ,11338
+ ,73
+ ,70
+ ,59
+ ,224033
+ ,43750
+ ,19630
+ ,7409
+ ,49
+ ,49
+ ,64
+ ,43287
+ ,48029
+ ,88634
+ ,18213
+ ,82
+ ,82
+ ,40
+ ,238089
+ ,104978
+ ,139292
+ ,45873
+ ,206
+ ,205
+ ,98
+ ,263322
+ ,100046
+ ,128602
+ ,39844
+ ,112
+ ,111
+ ,139
+ ,299566
+ ,101047
+ ,135848
+ ,28317
+ ,139
+ ,135
+ ,135
+ ,321797
+ ,197426
+ ,178377
+ ,24797
+ ,60
+ ,59
+ ,97
+ ,193926
+ ,160902
+ ,106330
+ ,7471
+ ,70
+ ,70
+ ,142
+ ,170491
+ ,147172
+ ,178303
+ ,27259
+ ,112
+ ,108
+ ,155
+ ,354041
+ ,109432
+ ,116938
+ ,23201
+ ,142
+ ,141
+ ,115
+ ,303273
+ ,1168
+ ,5841
+ ,238
+ ,11
+ ,11
+ ,0
+ ,23668
+ ,83248
+ ,106020
+ ,28830
+ ,130
+ ,130
+ ,103
+ ,196743
+ ,25162
+ ,24610
+ ,3913
+ ,31
+ ,28
+ ,30
+ ,61857
+ ,45724
+ ,74151
+ ,9935
+ ,132
+ ,101
+ ,130
+ ,217543
+ ,110529
+ ,232241
+ ,27738
+ ,219
+ ,216
+ ,102
+ ,440711
+ ,855
+ ,6622
+ ,338
+ ,4
+ ,4
+ ,0
+ ,21054
+ ,101382
+ ,127097
+ ,13326
+ ,102
+ ,97
+ ,77
+ ,252805
+ ,14116
+ ,13155
+ ,3988
+ ,39
+ ,39
+ ,9
+ ,31961
+ ,89506
+ ,160501
+ ,24347
+ ,125
+ ,119
+ ,150
+ ,360436
+ ,135356
+ ,91502
+ ,27111
+ ,121
+ ,118
+ ,163
+ ,251948
+ ,116066
+ ,24469
+ ,3938
+ ,42
+ ,41
+ ,148
+ ,187003
+ ,144244
+ ,88229
+ ,17416
+ ,111
+ ,107
+ ,94
+ ,180842
+ ,8773
+ ,13983
+ ,1888
+ ,16
+ ,16
+ ,21
+ ,38214
+ ,102153
+ ,80716
+ ,18700
+ ,70
+ ,69
+ ,151
+ ,278173
+ ,117440
+ ,157384
+ ,36809
+ ,162
+ ,160
+ ,187
+ ,358276
+ ,104128
+ ,122975
+ ,24959
+ ,173
+ ,158
+ ,171
+ ,211775
+ ,134238
+ ,191469
+ ,37343
+ ,171
+ ,161
+ ,170
+ ,445926
+ ,134047
+ ,231257
+ ,21849
+ ,172
+ ,165
+ ,145
+ ,348017
+ ,279488
+ ,258287
+ ,49809
+ ,254
+ ,246
+ ,198
+ ,441946
+ ,79756
+ ,122531
+ ,21654
+ ,90
+ ,89
+ ,152
+ ,215177
+ ,66089
+ ,61394
+ ,8728
+ ,50
+ ,49
+ ,112
+ ,126320
+ ,102070
+ ,86480
+ ,20920
+ ,113
+ ,107
+ ,173
+ ,316128
+ ,146760
+ ,195791
+ ,27195
+ ,187
+ ,182
+ ,177
+ ,466139
+ ,154771
+ ,18284
+ ,1037
+ ,16
+ ,16
+ ,153
+ ,162279
+ ,165933
+ ,147581
+ ,42570
+ ,175
+ ,173
+ ,161
+ ,416643
+ ,64593
+ ,72558
+ ,17672
+ ,90
+ ,90
+ ,115
+ ,178322
+ ,92280
+ ,147341
+ ,34245
+ ,140
+ ,140
+ ,147
+ ,292443
+ ,67150
+ ,114651
+ ,16786
+ ,145
+ ,142
+ ,124
+ ,283913
+ ,128692
+ ,100187
+ ,20954
+ ,141
+ ,126
+ ,57
+ ,244802
+ ,124089
+ ,130332
+ ,16378
+ ,125
+ ,123
+ ,144
+ ,387072
+ ,125386
+ ,134218
+ ,31852
+ ,241
+ ,239
+ ,126
+ ,246963
+ ,37238
+ ,10901
+ ,2805
+ ,16
+ ,15
+ ,78
+ ,173260
+ ,140015
+ ,145758
+ ,38086
+ ,175
+ ,170
+ ,153
+ ,346748
+ ,150047
+ ,75767
+ ,21166
+ ,132
+ ,123
+ ,196
+ ,176654
+ ,154451
+ ,134969
+ ,34672
+ ,154
+ ,151
+ ,130
+ ,267742
+ ,156349
+ ,169216
+ ,36171
+ ,198
+ ,194
+ ,159
+ ,314070)
+ ,dim=c(7
+ ,148)
+ ,dimnames=list(c('Y1'
+ ,'X1'
+ ,'X2'
+ ,'X3'
+ ,'X4'
+ ,'X5'
+ ,'X6')
+ ,1:148))
>  y <- array(NA,dim=c(7,148),dimnames=list(c('Y1','X1','X2','X3','X4','X5','X6'),1:148))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par4 = 'no'
> par3 = '3'
> par2 = 'equal'
> par1 = '1'
> library(party)
Loading required package: survival
Loading required package: splines
Loading required package: grid
Loading required package: modeltools
Loading required package: stats4
Loading required package: coin
Loading required package: mvtnorm
Loading required package: zoo
Loading required package: sandwich
Loading required package: strucchange
Loading required package: vcd
Loading required package: MASS
Loading required package: colorspace
> library(Hmisc)

Attaching package: 'Hmisc'

The following object(s) are masked from 'package:survival':

    untangle.specials

The following object(s) are masked from 'package:base':

    format.pval, round.POSIXt, trunc.POSIXt, units

> par1 <- as.numeric(par1)
> par3 <- as.numeric(par3)
> x <- data.frame(t(y))
> is.data.frame(x)
[1] TRUE
> x <- x[!is.na(x[,par1]),]
> k <- length(x[1,])
> n <- length(x[,1])
> colnames(x)[par1]
[1] "Y1"
> x[,par1]
  [1] 140824 110459 105079 112098  43929  76173 187326  22807 144408  66485
 [11]  79089  81625  68788 103297  69446 114948 167949 125081 125818 136588
 [21] 112431 103037  82317 118906  83515 104581 103129  83243  37110 113344
 [31] 139165  86652 112302  69652 119442  69867 101629  70168  31081 103925
 [41]  92622  79011  93487  64520  93473 114360  33032  96125 151911  89256
 [51]  95676   5950 149695  32551  31701 100087 169707 150491 120192  95893
 [61] 151715 176225  59900 104767 114799  72128 143592  89626 131072 126817
 [71]  81351  22618  88977  92059  81897 108146 126372 249771  71154  71571
 [81]  55918 160141  38692 102812  56622  15986 123534 108535  93879 144551
 [91]  56750 127654  65594  59938 146975 165904 169265 183500 165986 184923
[101] 140358 149959  57224  43750  48029 104978 100046 101047 197426 160902
[111] 147172 109432   1168  83248  25162  45724 110529    855 101382  14116
[121]  89506 135356 116066 144244   8773 102153 117440 104128 134238 134047
[131] 279488  79756  66089 102070 146760 154771 165933  64593  92280  67150
[141] 128692 124089 125386  37238 140015 150047 154451 156349
> if (par2 == 'kmeans') {
+ cl <- kmeans(x[,par1], par3)
+ print(cl)
+ clm <- matrix(cbind(cl$centers,1:par3),ncol=2)
+ clm <- clm[sort.list(clm[,1]),]
+ for (i in 1:par3) {
+ cl$cluster[cl$cluster==clm[i,2]] <- paste('C',i,sep='')
+ }
+ cl$cluster <- as.factor(cl$cluster)
+ print(cl$cluster)
+ x[,par1] <- cl$cluster
+ }
> if (par2 == 'quantiles') {
+ x[,par1] <- cut2(x[,par1],g=par3)
+ }
> if (par2 == 'hclust') {
+ hc <- hclust(dist(x[,par1])^2, 'cen')
+ print(hc)
+ memb <- cutree(hc, k = par3)
+ dum <- c(mean(x[memb==1,par1]))
+ for (i in 2:par3) {
+ dum <- c(dum, mean(x[memb==i,par1]))
+ }
+ hcm <- matrix(cbind(dum,1:par3),ncol=2)
+ hcm <- hcm[sort.list(hcm[,1]),]
+ for (i in 1:par3) {
+ memb[memb==hcm[i,2]] <- paste('C',i,sep='')
+ }
+ memb <- as.factor(memb)
+ print(memb)
+ x[,par1] <- memb
+ }
> if (par2=='equal') {
+ ed <- cut(as.numeric(x[,par1]),par3,labels=paste('C',1:par3,sep=''))
+ x[,par1] <- as.factor(ed)
+ }
> table(x[,par1])

C1 C2 C3 
61 83  4 
> colnames(x)
[1] "Y1" "X1" "X2" "X3" "X4" "X5" "X6"
> colnames(x)[par1]
[1] "Y1"
> x[,par1]
  [1] C2 C2 C2 C2 C1 C1 C3 C1 C2 C1 C1 C1 C1 C2 C1 C2 C2 C2 C2 C2 C2 C2 C1 C2 C1
 [26] C2 C2 C1 C1 C2 C2 C1 C2 C1 C2 C1 C2 C1 C1 C2 C1 C1 C1 C1 C1 C2 C1 C2 C2 C1
 [51] C2 C1 C2 C1 C1 C2 C2 C2 C2 C2 C2 C2 C1 C2 C2 C1 C2 C1 C2 C2 C1 C1 C1 C1 C1
 [76] C2 C2 C3 C1 C1 C1 C2 C1 C2 C1 C1 C2 C2 C2 C2 C1 C2 C1 C1 C2 C2 C2 C2 C2 C2
[101] C2 C2 C1 C1 C1 C2 C2 C2 C3 C2 C2 C2 C1 C1 C1 C1 C2 C1 C2 C1 C1 C2 C2 C2 C1
[126] C2 C2 C2 C2 C2 C3 C1 C1 C2 C2 C2 C2 C1 C1 C1 C2 C2 C2 C1 C2 C2 C2 C2
Levels: C1 C2 C3
> if (par2 == 'none') {
+ m <- ctree(as.formula(paste(colnames(x)[par1],' ~ .',sep='')),data = x)
+ }
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> if (par2 != 'none') {
+ m <- ctree(as.formula(paste('as.factor(',colnames(x)[par1],') ~ .',sep='')),data = x)
+ if (par4=='yes') {
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'10-Fold Cross Validation',3+2*par3,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'',1,TRUE)
+ a<-table.element(a,'Prediction (training)',par3+1,TRUE)
+ a<-table.element(a,'Prediction (testing)',par3+1,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'Actual',1,TRUE)
+ for (jjj in 1:par3) a<-table.element(a,paste('C',jjj,sep=''),1,TRUE)
+ a<-table.element(a,'CV',1,TRUE)
+ for (jjj in 1:par3) a<-table.element(a,paste('C',jjj,sep=''),1,TRUE)
+ a<-table.element(a,'CV',1,TRUE)
+ a<-table.row.end(a)
+ for (i in 1:10) {
+ ind <- sample(2, nrow(x), replace=T, prob=c(0.9,0.1))
+ m.ct <- ctree(as.formula(paste('as.factor(',colnames(x)[par1],') ~ .',sep='')),data =x[ind==1,])
+ if (i==1) {
+ m.ct.i.pred <- predict(m.ct, newdata=x[ind==1,])
+ m.ct.i.actu <- x[ind==1,par1]
+ m.ct.x.pred <- predict(m.ct, newdata=x[ind==2,])
+ m.ct.x.actu <- x[ind==2,par1]
+ } else {
+ m.ct.i.pred <- c(m.ct.i.pred,predict(m.ct, newdata=x[ind==1,]))
+ m.ct.i.actu <- c(m.ct.i.actu,x[ind==1,par1])
+ m.ct.x.pred <- c(m.ct.x.pred,predict(m.ct, newdata=x[ind==2,]))
+ m.ct.x.actu <- c(m.ct.x.actu,x[ind==2,par1])
+ }
+ }
+ print(m.ct.i.tab <- table(m.ct.i.actu,m.ct.i.pred))
+ numer <- 0
+ for (i in 1:par3) {
+ print(m.ct.i.tab[i,i] / sum(m.ct.i.tab[i,]))
+ numer <- numer + m.ct.i.tab[i,i]
+ }
+ print(m.ct.i.cp <- numer / sum(m.ct.i.tab))
+ print(m.ct.x.tab <- table(m.ct.x.actu,m.ct.x.pred))
+ numer <- 0
+ for (i in 1:par3) {
+ print(m.ct.x.tab[i,i] / sum(m.ct.x.tab[i,]))
+ numer <- numer + m.ct.x.tab[i,i]
+ }
+ print(m.ct.x.cp <- numer / sum(m.ct.x.tab))
+ for (i in 1:par3) {
+ a<-table.row.start(a)
+ a<-table.element(a,paste('C',i,sep=''),1,TRUE)
+ for (jjj in 1:par3) a<-table.element(a,m.ct.i.tab[i,jjj])
+ a<-table.element(a,round(m.ct.i.tab[i,i]/sum(m.ct.i.tab[i,]),4))
+ for (jjj in 1:par3) a<-table.element(a,m.ct.x.tab[i,jjj])
+ a<-table.element(a,round(m.ct.x.tab[i,i]/sum(m.ct.x.tab[i,]),4))
+ a<-table.row.end(a)
+ }
+ a<-table.row.start(a)
+ a<-table.element(a,'Overall',1,TRUE)
+ for (jjj in 1:par3) a<-table.element(a,'-')
+ a<-table.element(a,round(m.ct.i.cp,4))
+ for (jjj in 1:par3) a<-table.element(a,'-')
+ a<-table.element(a,round(m.ct.x.cp,4))
+ a<-table.row.end(a)
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/11rz11324650421.tab") 
+ }
+ }
> m

	 Conditional inference tree with 4 terminal nodes

Response:  as.factor(Y1) 
Inputs:  X1, X2, X3, X4, X5, X6 
Number of observations:  148 

1) X2 <= 18213; criterion = 1, statistic = 57.008
  2)*  weights = 51 
1) X2 > 18213
  3) X1 <= 178303; criterion = 0.998, statistic = 16.586
    4) X3 <= 140; criterion = 0.958, statistic = 7.261
      5)*  weights = 42 
    4) X3 > 140
      6)*  weights = 30 
  3) X1 > 178303
    7)*  weights = 25 
> postscript(file="/var/wessaorg/rcomp/tmp/2qun11324650421.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3p1881324650421.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(x[,par1] ~ as.factor(where(m)),main='Response by Terminal Node',xlab='Terminal Node',ylab='Response')
> dev.off()
null device 
          1 
> if (par2 == 'none') {
+ forec <- predict(m)
+ result <- as.data.frame(cbind(x[,par1],forec,x[,par1]-forec))
+ colnames(result) <- c('Actuals','Forecasts','Residuals')
+ print(result)
+ }
> if (par2 != 'none') {
+ print(cbind(as.factor(x[,par1]),predict(m)))
+ myt <- table(as.factor(x[,par1]),predict(m))
+ print(myt)
+ }
       [,1] [,2]
  [1,]    2    2
  [2,]    2    2
  [3,]    2    1
  [4,]    2    2
  [5,]    1    1
  [6,]    1    1
  [7,]    3    2
  [8,]    1    1
  [9,]    2    2
 [10,]    1    2
 [11,]    1    2
 [12,]    1    2
 [13,]    1    1
 [14,]    2    2
 [15,]    1    1
 [16,]    2    2
 [17,]    2    2
 [18,]    2    2
 [19,]    2    2
 [20,]    2    2
 [21,]    2    2
 [22,]    2    2
 [23,]    1    1
 [24,]    2    2
 [25,]    1    2
 [26,]    2    2
 [27,]    2    2
 [28,]    1    2
 [29,]    1    1
 [30,]    2    2
 [31,]    2    2
 [32,]    1    1
 [33,]    2    2
 [34,]    1    1
 [35,]    2    2
 [36,]    1    1
 [37,]    2    2
 [38,]    1    2
 [39,]    1    1
 [40,]    2    2
 [41,]    1    2
 [42,]    1    1
 [43,]    1    2
 [44,]    1    1
 [45,]    1    1
 [46,]    2    1
 [47,]    1    1
 [48,]    2    2
 [49,]    2    2
 [50,]    1    2
 [51,]    2    2
 [52,]    1    1
 [53,]    2    2
 [54,]    1    1
 [55,]    1    1
 [56,]    2    2
 [57,]    2    2
 [58,]    2    2
 [59,]    2    2
 [60,]    2    2
 [61,]    2    2
 [62,]    2    2
 [63,]    1    1
 [64,]    2    2
 [65,]    2    2
 [66,]    1    2
 [67,]    2    2
 [68,]    1    2
 [69,]    2    2
 [70,]    2    2
 [71,]    1    1
 [72,]    1    1
 [73,]    1    2
 [74,]    1    2
 [75,]    1    2
 [76,]    2    2
 [77,]    2    2
 [78,]    3    2
 [79,]    1    1
 [80,]    1    1
 [81,]    1    1
 [82,]    2    2
 [83,]    1    1
 [84,]    2    2
 [85,]    1    1
 [86,]    1    1
 [87,]    2    2
 [88,]    2    2
 [89,]    2    2
 [90,]    2    2
 [91,]    1    1
 [92,]    2    2
 [93,]    1    1
 [94,]    1    1
 [95,]    2    2
 [96,]    2    2
 [97,]    2    2
 [98,]    2    2
 [99,]    2    2
[100,]    2    2
[101,]    2    2
[102,]    2    2
[103,]    1    1
[104,]    1    1
[105,]    1    1
[106,]    2    2
[107,]    2    2
[108,]    2    2
[109,]    3    2
[110,]    2    1
[111,]    2    2
[112,]    2    2
[113,]    1    1
[114,]    1    2
[115,]    1    1
[116,]    1    1
[117,]    2    2
[118,]    1    1
[119,]    2    1
[120,]    1    1
[121,]    1    2
[122,]    2    2
[123,]    2    1
[124,]    2    1
[125,]    1    1
[126,]    2    2
[127,]    2    2
[128,]    2    2
[129,]    2    2
[130,]    2    2
[131,]    3    2
[132,]    1    2
[133,]    1    1
[134,]    2    2
[135,]    2    2
[136,]    2    1
[137,]    2    2
[138,]    1    1
[139,]    1    2
[140,]    1    1
[141,]    2    2
[142,]    2    1
[143,]    2    2
[144,]    1    1
[145,]    2    2
[146,]    2    2
[147,]    2    2
[148,]    2    2
    
     C1 C2 C3
  C1 43 18  0
  C2  8 75  0
  C3  0  4  0
> postscript(file="/var/wessaorg/rcomp/tmp/4n5ns1324650421.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if(par2=='none') {
+ op <- par(mfrow=c(2,2))
+ plot(density(result$Actuals),main='Kernel Density Plot of Actuals')
+ plot(density(result$Residuals),main='Kernel Density Plot of Residuals')
+ plot(result$Forecasts,result$Actuals,main='Actuals versus Predictions',xlab='Predictions',ylab='Actuals')
+ plot(density(result$Forecasts),main='Kernel Density Plot of Predictions')
+ par(op)
+ }
> if(par2!='none') {
+ plot(myt,main='Confusion Matrix',xlab='Actual',ylab='Predicted')
+ }
> dev.off()
null device 
          1 
> if (par2 == 'none') {
+ detcoef <- cor(result$Forecasts,result$Actuals)
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Goodness of Fit',2,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'Correlation',1,TRUE)
+ a<-table.element(a,round(detcoef,4))
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'R-squared',1,TRUE)
+ a<-table.element(a,round(detcoef*detcoef,4))
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'RMSE',1,TRUE)
+ a<-table.element(a,round(sqrt(mean((result$Residuals)^2)),4))
+ a<-table.row.end(a)
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/56ypz1324650421.tab") 
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Actuals, Predictions, and Residuals',4,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'#',header=TRUE)
+ a<-table.element(a,'Actuals',header=TRUE)
+ a<-table.element(a,'Forecasts',header=TRUE)
+ a<-table.element(a,'Residuals',header=TRUE)
+ a<-table.row.end(a)
+ for (i in 1:length(result$Actuals)) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,result$Actuals[i])
+ a<-table.element(a,result$Forecasts[i])
+ a<-table.element(a,result$Residuals[i])
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/691nv1324650421.tab") 
+ }
> if (par2 != 'none') {
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Confusion Matrix (predicted in columns / actuals in rows)',par3+1,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'',1,TRUE)
+ for (i in 1:par3) {
+ a<-table.element(a,paste('C',i,sep=''),1,TRUE)
+ }
+ a<-table.row.end(a)
+ for (i in 1:par3) {
+ a<-table.row.start(a)
+ a<-table.element(a,paste('C',i,sep=''),1,TRUE)
+ for (j in 1:par3) {
+ a<-table.element(a,myt[i,j])
+ }
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/728z41324650421.tab") 
+ }
> 
> try(system("convert tmp/2qun11324650421.ps tmp/2qun11324650421.png",intern=TRUE))
character(0)
> try(system("convert tmp/3p1881324650421.ps tmp/3p1881324650421.png",intern=TRUE))
character(0)
> try(system("convert tmp/4n5ns1324650421.ps tmp/4n5ns1324650421.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.903   0.297   3.264