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(124252
+ ,165119
+ ,85
+ ,1527
+ ,104
+ ,98956
+ ,107269
+ ,58
+ ,917
+ ,111
+ ,98073
+ ,93497
+ ,62
+ ,1668
+ ,93
+ ,106816
+ ,100269
+ ,108
+ ,2283
+ ,119
+ ,41449
+ ,91627
+ ,55
+ ,992
+ ,57
+ ,76173
+ ,47552
+ ,8
+ ,577
+ ,80
+ ,177551
+ ,233933
+ ,134
+ ,3916
+ ,107
+ ,22807
+ ,6853
+ ,1
+ ,381
+ ,22
+ ,126938
+ ,104380
+ ,63
+ ,1769
+ ,103
+ ,61680
+ ,98431
+ ,77
+ ,1606
+ ,72
+ ,72117
+ ,156949
+ ,86
+ ,1885
+ ,123
+ ,79738
+ ,81817
+ ,93
+ ,1633
+ ,164
+ ,57793
+ ,59238
+ ,44
+ ,1433
+ ,100
+ ,91677
+ ,101138
+ ,106
+ ,2369
+ ,143
+ ,64631
+ ,107158
+ ,63
+ ,1644
+ ,79
+ ,106385
+ ,155499
+ ,160
+ ,4197
+ ,183
+ ,161961
+ ,156274
+ ,104
+ ,1769
+ ,123
+ ,112669
+ ,121777
+ ,86
+ ,2352
+ ,81
+ ,114029
+ ,105037
+ ,92
+ ,1217
+ ,74
+ ,124550
+ ,118661
+ ,119
+ ,2015
+ ,158
+ ,105416
+ ,131187
+ ,107
+ ,2109
+ ,133
+ ,72875
+ ,145026
+ ,86
+ ,2448
+ ,128
+ ,81964
+ ,107016
+ ,50
+ ,1253
+ ,84
+ ,104880
+ ,87242
+ ,92
+ ,1431
+ ,184
+ ,76302
+ ,91699
+ ,123
+ ,2582
+ ,127
+ ,96740
+ ,110087
+ ,81
+ ,2293
+ ,128
+ ,93071
+ ,145447
+ ,93
+ ,2647
+ ,118
+ ,78912
+ ,143307
+ ,113
+ ,1709
+ ,125
+ ,35224
+ ,61678
+ ,52
+ ,1360
+ ,89
+ ,90694
+ ,210080
+ ,113
+ ,2051
+ ,122
+ ,125369
+ ,165005
+ ,109
+ ,1858
+ ,151
+ ,80849
+ ,97806
+ ,44
+ ,1621
+ ,122
+ ,104434
+ ,184471
+ ,123
+ ,1933
+ ,162
+ ,65702
+ ,27786
+ ,38
+ ,849
+ ,121
+ ,108179
+ ,184458
+ ,111
+ ,2640
+ ,132
+ ,63583
+ ,98765
+ ,77
+ ,2229
+ ,110
+ ,95066
+ ,178441
+ ,92
+ ,2892
+ ,129
+ ,62486
+ ,100619
+ ,74
+ ,1664
+ ,80
+ ,31081
+ ,58391
+ ,33
+ ,917
+ ,46
+ ,94584
+ ,151672
+ ,105
+ ,2740
+ ,127
+ ,87408
+ ,124437
+ ,108
+ ,2897
+ ,103
+ ,68966
+ ,79929
+ ,66
+ ,1413
+ ,95
+ ,88766
+ ,123064
+ ,69
+ ,1500
+ ,100
+ ,57139
+ ,50466
+ ,62
+ ,1443
+ ,102
+ ,90586
+ ,100991
+ ,50
+ ,2369
+ ,45
+ ,109249
+ ,79367
+ ,91
+ ,4798
+ ,116
+ ,33032
+ ,56968
+ ,20
+ ,918
+ ,66
+ ,96056
+ ,106257
+ ,101
+ ,2085
+ ,159
+ ,146648
+ ,178412
+ ,129
+ ,3655
+ ,153
+ ,80613
+ ,98520
+ ,93
+ ,1923
+ ,131
+ ,87026
+ ,153670
+ ,89
+ ,1616
+ ,113
+ ,5950
+ ,15049
+ ,8
+ ,496
+ ,7
+ ,131106
+ ,174478
+ ,79
+ ,2306
+ ,147
+ ,32551
+ ,25109
+ ,21
+ ,744
+ ,61
+ ,31701
+ ,45824
+ ,30
+ ,1161
+ ,41
+ ,91072
+ ,116772
+ ,86
+ ,2552
+ ,108
+ ,159803
+ ,189150
+ ,116
+ ,2273
+ ,184
+ ,143950
+ ,194404
+ ,106
+ ,3185
+ ,115
+ ,112368
+ ,185881
+ ,127
+ ,2134
+ ,132
+ ,82124
+ ,67508
+ ,75
+ ,1863
+ ,113
+ ,144068
+ ,188597
+ ,138
+ ,3518
+ ,141
+ ,162627
+ ,203618
+ ,114
+ ,2735
+ ,65
+ ,55062
+ ,87232
+ ,55
+ ,2151
+ ,79
+ ,95329
+ ,110875
+ ,67
+ ,2144
+ ,121
+ ,105612
+ ,144756
+ ,43
+ ,1288
+ ,112
+ ,62853
+ ,129825
+ ,88
+ ,1540
+ ,81
+ ,125976
+ ,92189
+ ,67
+ ,1614
+ ,116
+ ,79146
+ ,121158
+ ,75
+ ,2402
+ ,132
+ ,108461
+ ,96219
+ ,114
+ ,1955
+ ,104
+ ,99971
+ ,84128
+ ,119
+ ,1366
+ ,80
+ ,77826
+ ,97960
+ ,86
+ ,2292
+ ,145
+ ,22618
+ ,23824
+ ,22
+ ,893
+ ,67
+ ,84892
+ ,103515
+ ,67
+ ,1935
+ ,159
+ ,92059
+ ,91313
+ ,77
+ ,1538
+ ,82
+ ,77993
+ ,85407
+ ,105
+ ,1494
+ ,120
+ ,104155
+ ,95871
+ ,119
+ ,1994
+ ,126
+ ,109840
+ ,143846
+ ,88
+ ,1904
+ ,118
+ ,238712
+ ,155387
+ ,75
+ ,1645
+ ,112
+ ,67486
+ ,74429
+ ,112
+ ,1700
+ ,123
+ ,68007
+ ,74004
+ ,66
+ ,1467
+ ,98
+ ,48194
+ ,71987
+ ,58
+ ,1538
+ ,78
+ ,134796
+ ,150629
+ ,132
+ ,3320
+ ,119
+ ,38692
+ ,68580
+ ,30
+ ,1345
+ ,99
+ ,93587
+ ,119855
+ ,100
+ ,1929
+ ,81
+ ,56622
+ ,55792
+ ,49
+ ,870
+ ,27
+ ,15986
+ ,25157
+ ,26
+ ,1713
+ ,77
+ ,113402
+ ,90895
+ ,67
+ ,1086
+ ,118
+ ,97967
+ ,117510
+ ,57
+ ,3173
+ ,122
+ ,74844
+ ,144774
+ ,95
+ ,2234
+ ,103
+ ,136051
+ ,77529
+ ,139
+ ,2676
+ ,129
+ ,50548
+ ,103123
+ ,70
+ ,1977
+ ,69
+ ,112215
+ ,104669
+ ,134
+ ,1782
+ ,121
+ ,59591
+ ,82414
+ ,37
+ ,1560
+ ,81
+ ,59938
+ ,82390
+ ,98
+ ,2539
+ ,119
+ ,137639
+ ,128446
+ ,58
+ ,2118
+ ,116
+ ,143372
+ ,111542
+ ,78
+ ,1521
+ ,123
+ ,138599
+ ,136048
+ ,88
+ ,1460
+ ,111
+ ,174110
+ ,197257
+ ,142
+ ,1865
+ ,100
+ ,135062
+ ,162079
+ ,127
+ ,3191
+ ,197
+ ,175681
+ ,206286
+ ,139
+ ,3091
+ ,95
+ ,130307
+ ,109858
+ ,108
+ ,2232
+ ,153
+ ,139141
+ ,182125
+ ,128
+ ,2052
+ ,118
+ ,44244
+ ,74168
+ ,62
+ ,1786
+ ,50
+ ,43750
+ ,19630
+ ,13
+ ,602
+ ,64
+ ,48029
+ ,88634
+ ,89
+ ,1966
+ ,34
+ ,95216
+ ,128321
+ ,83
+ ,1723
+ ,76
+ ,92288
+ ,118936
+ ,116
+ ,2282
+ ,112
+ ,94588
+ ,127044
+ ,157
+ ,2338
+ ,115
+ ,197426
+ ,178377
+ ,28
+ ,923
+ ,69
+ ,151244
+ ,69581
+ ,83
+ ,1388
+ ,108
+ ,139206
+ ,168019
+ ,72
+ ,1673
+ ,130
+ ,106271
+ ,113598
+ ,134
+ ,2074
+ ,110
+ ,1168
+ ,5841
+ ,12
+ ,398
+ ,0
+ ,71764
+ ,93116
+ ,106
+ ,1605
+ ,83
+ ,25162
+ ,24610
+ ,23
+ ,530
+ ,30
+ ,45635
+ ,60611
+ ,83
+ ,1503
+ ,106
+ ,101817
+ ,226620
+ ,125
+ ,2622
+ ,91
+ ,855
+ ,6622
+ ,4
+ ,387
+ ,0
+ ,100174
+ ,121996
+ ,71
+ ,1842
+ ,69
+ ,14116
+ ,13155
+ ,18
+ ,449
+ ,9
+ ,85008
+ ,154158
+ ,98
+ ,2890
+ ,123
+ ,124254
+ ,78489
+ ,66
+ ,1701
+ ,140
+ ,105793
+ ,22007
+ ,44
+ ,1401
+ ,125
+ ,117129
+ ,72530
+ ,29
+ ,1257
+ ,81
+ ,8773
+ ,13983
+ ,16
+ ,568
+ ,21
+ ,94747
+ ,73397
+ ,56
+ ,1512
+ ,124
+ ,107549
+ ,143878
+ ,112
+ ,2359
+ ,164
+ ,97392
+ ,119956
+ ,46
+ ,1144
+ ,139
+ ,126893
+ ,181558
+ ,129
+ ,3041
+ ,144
+ ,118850
+ ,208236
+ ,139
+ ,2117
+ ,130
+ ,234853
+ ,237085
+ ,136
+ ,2992
+ ,168
+ ,74783
+ ,110297
+ ,66
+ ,1127
+ ,126
+ ,66089
+ ,61394
+ ,42
+ ,1045
+ ,89
+ ,95684
+ ,81420
+ ,70
+ ,2417
+ ,137
+ ,139537
+ ,191154
+ ,97
+ ,3839
+ ,149
+ ,144253
+ ,11798
+ ,49
+ ,1412
+ ,121
+ ,153824
+ ,135724
+ ,113
+ ,3382
+ ,133
+ ,63995
+ ,68614
+ ,55
+ ,1728
+ ,93
+ ,84891
+ ,139926
+ ,100
+ ,1506
+ ,119
+ ,61263
+ ,105203
+ ,80
+ ,1905
+ ,102
+ ,106221
+ ,80338
+ ,29
+ ,1511
+ ,39
+ ,113587
+ ,121376
+ ,95
+ ,3602
+ ,104
+ ,113864
+ ,124922
+ ,114
+ ,1849
+ ,111
+ ,37238
+ ,10901
+ ,41
+ ,2035
+ ,78
+ ,119906
+ ,135471
+ ,128
+ ,2503
+ ,120
+ ,135096
+ ,66395
+ ,142
+ ,1574
+ ,169
+ ,151611
+ ,134041
+ ,88
+ ,2260
+ ,109
+ ,144645
+ ,153554
+ ,142
+ ,2045
+ ,132
+ ,0
+ ,0
+ ,0
+ ,2
+ ,0
+ ,6023
+ ,7953
+ ,4
+ ,207
+ ,0
+ ,0
+ ,0
+ ,0
+ ,5
+ ,0
+ ,0
+ ,0
+ ,0
+ ,8
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,77457
+ ,98922
+ ,56
+ ,1777
+ ,78
+ ,62464
+ ,165395
+ ,120
+ ,2762
+ ,104
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,4
+ ,0
+ ,1644
+ ,4245
+ ,7
+ ,151
+ ,0
+ ,6179
+ ,21509
+ ,12
+ ,474
+ ,13
+ ,3926
+ ,7670
+ ,0
+ ,141
+ ,4
+ ,42087
+ ,15167
+ ,37
+ ,969
+ ,65
+ ,0
+ ,0
+ ,0
+ ,29
+ ,0
+ ,87656
+ ,63891
+ ,46
+ ,1485
+ ,55)
+ ,dim=c(5
+ ,164)
+ ,dimnames=list(c('Karakters'
+ ,'Seconden'
+ ,'Blogs'
+ ,'Pageviews'
+ ,'LFM')
+ ,1:164))
>  y <- array(NA,dim=c(5,164),dimnames=list(c('Karakters','Seconden','Blogs','Pageviews','LFM'),1:164))
>  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 = '5'
> par2 = 'quantiles'
> par1 = '4'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Dr. Ian E. Holliday
> #To cite this work: Ian E. Holliday, 2009, YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: 
> #Technical description: 
> 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] "Pageviews"
> x[,par1]
  [1] 1527  917 1668 2283  992  577 3916  381 1769 1606 1885 1633 1433 2369 1644
 [16] 4197 1769 2352 1217 2015 2109 2448 1253 1431 2582 2293 2647 1709 1360 2051
 [31] 1858 1621 1933  849 2640 2229 2892 1664  917 2740 2897 1413 1500 1443 2369
 [46] 4798  918 2085 3655 1923 1616  496 2306  744 1161 2552 2273 3185 2134 1863
 [61] 3518 2735 2151 2144 1288 1540 1614 2402 1955 1366 2292  893 1935 1538 1494
 [76] 1994 1904 1645 1700 1467 1538 3320 1345 1929  870 1713 1086 3173 2234 2676
 [91] 1977 1782 1560 2539 2118 1521 1460 1865 3191 3091 2232 2052 1786  602 1966
[106] 1723 2282 2338  923 1388 1673 2074  398 1605  530 1503 2622  387 1842  449
[121] 2890 1701 1401 1257  568 1512 2359 1144 3041 2117 2992 1127 1045 2417 3839
[136] 1412 3382 1728 1506 1905 1511 3602 1849 2035 2503 1574 2260 2045    2  207
[151]    5    8    0    0 1777 2762    0    4  151  474  141  969   29 1485
> 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])

[   0,1127) [1127,1605) [1605,1935) [1935,2402) [2402,4798] 
         33          33          33          33          32 
> colnames(x)
[1] "Karakters" "Seconden"  "Blogs"     "Pageviews" "LFM"      
> colnames(x)[par1]
[1] "Pageviews"
> x[,par1]
  [1] [1127,1605) [   0,1127) [1605,1935) [1935,2402) [   0,1127) [   0,1127)
  [7] [2402,4798] [   0,1127) [1605,1935) [1605,1935) [1605,1935) [1605,1935)
 [13] [1127,1605) [1935,2402) [1605,1935) [2402,4798] [1605,1935) [1935,2402)
 [19] [1127,1605) [1935,2402) [1935,2402) [2402,4798] [1127,1605) [1127,1605)
 [25] [2402,4798] [1935,2402) [2402,4798] [1605,1935) [1127,1605) [1935,2402)
 [31] [1605,1935) [1605,1935) [1605,1935) [   0,1127) [2402,4798] [1935,2402)
 [37] [2402,4798] [1605,1935) [   0,1127) [2402,4798] [2402,4798] [1127,1605)
 [43] [1127,1605) [1127,1605) [1935,2402) [2402,4798] [   0,1127) [1935,2402)
 [49] [2402,4798] [1605,1935) [1605,1935) [   0,1127) [1935,2402) [   0,1127)
 [55] [1127,1605) [2402,4798] [1935,2402) [2402,4798] [1935,2402) [1605,1935)
 [61] [2402,4798] [2402,4798] [1935,2402) [1935,2402) [1127,1605) [1127,1605)
 [67] [1605,1935) [2402,4798] [1935,2402) [1127,1605) [1935,2402) [   0,1127)
 [73] [1935,2402) [1127,1605) [1127,1605) [1935,2402) [1605,1935) [1605,1935)
 [79] [1605,1935) [1127,1605) [1127,1605) [2402,4798] [1127,1605) [1605,1935)
 [85] [   0,1127) [1605,1935) [   0,1127) [2402,4798] [1935,2402) [2402,4798]
 [91] [1935,2402) [1605,1935) [1127,1605) [2402,4798] [1935,2402) [1127,1605)
 [97] [1127,1605) [1605,1935) [2402,4798] [2402,4798] [1935,2402) [1935,2402)
[103] [1605,1935) [   0,1127) [1935,2402) [1605,1935) [1935,2402) [1935,2402)
[109] [   0,1127) [1127,1605) [1605,1935) [1935,2402) [   0,1127) [1605,1935)
[115] [   0,1127) [1127,1605) [2402,4798] [   0,1127) [1605,1935) [   0,1127)
[121] [2402,4798] [1605,1935) [1127,1605) [1127,1605) [   0,1127) [1127,1605)
[127] [1935,2402) [1127,1605) [2402,4798] [1935,2402) [2402,4798] [1127,1605)
[133] [   0,1127) [2402,4798] [2402,4798] [1127,1605) [2402,4798] [1605,1935)
[139] [1127,1605) [1605,1935) [1127,1605) [2402,4798] [1605,1935) [1935,2402)
[145] [2402,4798] [1127,1605) [1935,2402) [1935,2402) [   0,1127) [   0,1127)
[151] [   0,1127) [   0,1127) [   0,1127) [   0,1127) [1605,1935) [2402,4798]
[157] [   0,1127) [   0,1127) [   0,1127) [   0,1127) [   0,1127) [   0,1127)
[163] [   0,1127) [1127,1605)
Levels: [   0,1127) [1127,1605) [1605,1935) [1935,2402) [2402,4798]
> 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/1r57v1324339464.tab") 
+ }
+ }
> m

	 Conditional inference tree with 5 terminal nodes

Response:  as.factor(Pageviews) 
Inputs:  Karakters, Seconden, Blogs, LFM 
Number of observations:  164 

1) Blogs <= 23; criterion = 1, statistic = 102.779
  2)*  weights = 24 
1) Blogs > 23
  3) Blogs <= 42; criterion = 1, statistic = 51.171
    4)*  weights = 12 
  3) Blogs > 42
    5) Blogs <= 89; criterion = 1, statistic = 36.346
      6)*  weights = 64 
    5) Blogs > 89
      7) Seconden <= 87242; criterion = 0.977, statistic = 12.544
        8)*  weights = 9 
      7) Seconden > 87242
        9)*  weights = 55 
> postscript(file="/var/wessaorg/rcomp/tmp/25jef1324339464.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/30zfu1324339464.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,]    1    2
  [3,]    3    2
  [4,]    4    5
  [5,]    1    2
  [6,]    1    1
  [7,]    5    5
  [8,]    1    1
  [9,]    3    2
 [10,]    3    2
 [11,]    3    2
 [12,]    3    2
 [13,]    2    2
 [14,]    4    5
 [15,]    3    2
 [16,]    5    5
 [17,]    3    5
 [18,]    4    2
 [19,]    2    5
 [20,]    4    5
 [21,]    4    5
 [22,]    5    2
 [23,]    2    2
 [24,]    2    2
 [25,]    5    5
 [26,]    4    2
 [27,]    5    5
 [28,]    3    5
 [29,]    2    2
 [30,]    4    5
 [31,]    3    5
 [32,]    3    2
 [33,]    3    5
 [34,]    1    1
 [35,]    5    5
 [36,]    4    2
 [37,]    5    5
 [38,]    3    2
 [39,]    1    1
 [40,]    5    5
 [41,]    5    5
 [42,]    2    2
 [43,]    2    2
 [44,]    2    2
 [45,]    4    2
 [46,]    5    2
 [47,]    1    1
 [48,]    4    5
 [49,]    5    5
 [50,]    3    5
 [51,]    3    2
 [52,]    1    1
 [53,]    4    2
 [54,]    1    1
 [55,]    2    1
 [56,]    5    2
 [57,]    4    5
 [58,]    5    5
 [59,]    4    5
 [60,]    3    2
 [61,]    5    5
 [62,]    5    5
 [63,]    4    2
 [64,]    4    2
 [65,]    2    2
 [66,]    2    2
 [67,]    3    2
 [68,]    5    2
 [69,]    4    5
 [70,]    2    2
 [71,]    4    2
 [72,]    1    1
 [73,]    4    2
 [74,]    2    2
 [75,]    2    2
 [76,]    4    5
 [77,]    3    2
 [78,]    3    2
 [79,]    3    2
 [80,]    2    2
 [81,]    2    2
 [82,]    5    5
 [83,]    2    1
 [84,]    3    5
 [85,]    1    2
 [86,]    3    1
 [87,]    1    2
 [88,]    5    2
 [89,]    4    5
 [90,]    5    2
 [91,]    4    2
 [92,]    3    5
 [93,]    2    1
 [94,]    5    2
 [95,]    4    2
 [96,]    2    2
 [97,]    2    2
 [98,]    3    5
 [99,]    5    5
[100,]    5    5
[101,]    4    5
[102,]    4    5
[103,]    3    2
[104,]    1    1
[105,]    4    2
[106,]    3    2
[107,]    4    5
[108,]    4    5
[109,]    1    1
[110,]    2    2
[111,]    3    2
[112,]    4    5
[113,]    1    1
[114,]    3    5
[115,]    1    1
[116,]    2    2
[117,]    5    5
[118,]    1    1
[119,]    3    2
[120,]    1    1
[121,]    5    5
[122,]    3    2
[123,]    2    2
[124,]    2    1
[125,]    1    1
[126,]    2    2
[127,]    4    5
[128,]    2    2
[129,]    5    5
[130,]    4    5
[131,]    5    5
[132,]    2    2
[133,]    1    1
[134,]    5    2
[135,]    5    5
[136,]    2    2
[137,]    5    5
[138,]    3    2
[139,]    2    5
[140,]    3    2
[141,]    2    1
[142,]    5    5
[143,]    3    5
[144,]    4    1
[145,]    5    5
[146,]    2    2
[147,]    4    2
[148,]    4    5
[149,]    1    1
[150,]    1    1
[151,]    1    1
[152,]    1    1
[153,]    1    1
[154,]    1    1
[155,]    3    2
[156,]    5    5
[157,]    1    1
[158,]    1    1
[159,]    1    1
[160,]    1    1
[161,]    1    1
[162,]    1    1
[163,]    1    1
[164,]    2    2
             
              [   0,1127) [1127,1605) [1605,1935) [1935,2402) [2402,4798]
  [   0,1127)          29           4           0           0           0
  [1127,1605)           5          26           0           0           2
  [1605,1935)           1          22           0           0          10
  [1935,2402)           1          13           0           0          19
  [2402,4798]           0           8           0           0          24
> postscript(file="/var/wessaorg/rcomp/tmp/4785a1324339464.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/5q0bb1324339464.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/6cdi81324339464.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/7goe31324339464.tab") 
+ }
> 
> try(system("convert tmp/25jef1324339464.ps tmp/25jef1324339464.png",intern=TRUE))
character(0)
> try(system("convert tmp/30zfu1324339464.ps tmp/30zfu1324339464.png",intern=TRUE))
character(0)
> try(system("convert tmp/4785a1324339464.ps tmp/4785a1324339464.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.967   0.299   3.263