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)

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> x <- array(list(144244
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+ ,104978
+ ,2130
+ ,219475
+ ,138
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+ ,72
+ ,0
+ ,92
+ ,40
+ ,151
+ ,88
+ ,45873
+ ,139292
+ ,206
+ ,205
+ ,5950
+ ,496
+ ,24188
+ ,24
+ ,218
+ ,20
+ ,0
+ ,8
+ ,4
+ ,12
+ ,7
+ ,2694
+ ,15049
+ ,7
+ ,7
+ ,3926
+ ,141
+ ,17547
+ ,5
+ ,69
+ ,3
+ ,0
+ ,0
+ ,1
+ ,4
+ ,4
+ ,2658
+ ,7670
+ ,3
+ ,3)
+ ,dim=c(15
+ ,144)
+ ,dimnames=list(c('#karakters'
+ ,'#PageViews'
+ ,'#SecRFC'
+ ,'#LogIns'
+ ,'#CourseCompViews'
+ ,'#CompViewsPR'
+ ,'#shared'
+ ,'#Blogs'
+ ,'#Reviews'
+ ,'#FBMinPR'
+ ,'#FBMinPR+120'
+ ,'#revisions'
+ ,'#seconden'
+ ,'#hyperlinks'
+ ,'#blogs')
+ ,1:144))
>  y <- array(NA,dim=c(15,144),dimnames=list(c('#karakters','#PageViews','#SecRFC','#LogIns','#CourseCompViews','#CompViewsPR','#shared','#Blogs','#Reviews','#FBMinPR','#FBMinPR+120','#revisions','#seconden','#hyperlinks','#blogs'),1:144))
>  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 = '15'
> par2 = 'quantiles'
> 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] "X.karakters"
> x[,par1]
  [1] 144244 197426  86652  65594 101382  76173 124089  66089  22618 149695
 [11]  56622 150047 151911  25162 105079  69446 136588 128692 134047  31701
 [21]  43750 143592 100350 151715 113344 279488 125081  68788 103037 102153
 [31] 147172 146760 127654 110459 131072 126817 108535  82317  57224 135356
 [41]  96125   1168 102070 118906  59900  79011 103297 143372 109432 167949
 [51]   8773  45724 149959  81351 103129 154451  88977 140824  84601 169707
 [61] 187326 156349 108146 168553 144408 183500 104128  33032  43929  56750
 [71] 126372 160141  71571 125818  38692  95893  67150 110529  59938  81625
 [81]  71154 104767 125386 165933  64520 165986 102812  81897  37110 146975
 [91]  92059 144551 184923  79756 140015  89506  64593  70168 134238 101047
[101]  92622  14116  15986  89256 150491 140358 114948  95671 176225  93487
[111]  89626  66485  79089  55918 112302 104581 117440 101629 112098  68946
[121] 114799 119442 100087 139165  83243 123534   6179   1644   6023 120192
[131]  83248 103925  72128 112431  92280  83515  48029  93879    855 100046
[141]  31081 104978   5950   3926
> 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])

[   855, 22618) [ 22618, 48029) [ 48029, 65594) [ 65594, 72128) [ 72128, 83243) 
             10              10               9              10               9 
[ 83243, 92280) [ 92280,101047) [101047,103925) [103925,110529) [110529,119442) 
             10              10               9              10               9 
[119442,128692) [128692,143372) [143372,149959) [149959,167949) [167949,279488] 
             10              10               9              10               9 
> colnames(x)
 [1] "X.karakters"       "X.PageViews"       "X.SecRFC"         
 [4] "X.LogIns"          "X.CourseCompViews" "X.CompViewsPR"    
 [7] "X.shared"          "X.Blogs"           "X.Reviews"        
[10] "X.FBMinPR"         "X.FBMinPR.120"     "X.revisions"      
[13] "X.seconden"        "X.hyperlinks"      "X.blogs"          
> colnames(x)[par1]
[1] "X.karakters"
> x[,par1]
  [1] [143372,149959) [167949,279488] [ 83243, 92280) [ 65594, 72128)
  [5] [101047,103925) [ 72128, 83243) [119442,128692) [ 65594, 72128)
  [9] [ 22618, 48029) [143372,149959) [ 48029, 65594) [149959,167949)
 [13] [149959,167949) [ 22618, 48029) [103925,110529) [ 65594, 72128)
 [17] [128692,143372) [128692,143372) [128692,143372) [ 22618, 48029)
 [21] [ 22618, 48029) [143372,149959) [ 92280,101047) [149959,167949)
 [25] [110529,119442) [167949,279488] [119442,128692) [ 65594, 72128)
 [29] [101047,103925) [101047,103925) [143372,149959) [143372,149959)
 [33] [119442,128692) [103925,110529) [128692,143372) [119442,128692)
 [37] [103925,110529) [ 72128, 83243) [ 48029, 65594) [128692,143372)
 [41] [ 92280,101047) [   855, 22618) [101047,103925) [110529,119442)
 [45] [ 48029, 65594) [ 72128, 83243) [101047,103925) [143372,149959)
 [49] [103925,110529) [167949,279488] [   855, 22618) [ 22618, 48029)
 [53] [149959,167949) [ 72128, 83243) [101047,103925) [149959,167949)
 [57] [ 83243, 92280) [128692,143372) [ 83243, 92280) [167949,279488]
 [61] [167949,279488] [149959,167949) [103925,110529) [167949,279488]
 [65] [143372,149959) [167949,279488] [103925,110529) [ 22618, 48029)
 [69] [ 22618, 48029) [ 48029, 65594) [119442,128692) [149959,167949)
 [73] [ 65594, 72128) [119442,128692) [ 22618, 48029) [ 92280,101047)
 [77] [ 65594, 72128) [110529,119442) [ 48029, 65594) [ 72128, 83243)
 [81] [ 65594, 72128) [103925,110529) [119442,128692) [149959,167949)
 [85] [ 48029, 65594) [149959,167949) [101047,103925) [ 72128, 83243)
 [89] [ 22618, 48029) [143372,149959) [ 83243, 92280) [143372,149959)
 [93] [167949,279488] [ 72128, 83243) [128692,143372) [ 83243, 92280)
 [97] [ 48029, 65594) [ 65594, 72128) [128692,143372) [101047,103925)
[101] [ 92280,101047) [   855, 22618) [   855, 22618) [ 83243, 92280)
[105] [149959,167949) [128692,143372) [110529,119442) [ 92280,101047)
[109] [167949,279488] [ 92280,101047) [ 83243, 92280) [ 65594, 72128)
[113] [ 72128, 83243) [ 48029, 65594) [110529,119442) [103925,110529)
[117] [110529,119442) [101047,103925) [110529,119442) [ 65594, 72128)
[121] [110529,119442) [119442,128692) [ 92280,101047) [128692,143372)
[125] [ 83243, 92280) [119442,128692) [   855, 22618) [   855, 22618)
[129] [   855, 22618) [119442,128692) [ 83243, 92280) [103925,110529)
[133] [ 72128, 83243) [110529,119442) [ 92280,101047) [ 83243, 92280)
[137] [ 48029, 65594) [ 92280,101047) [   855, 22618) [ 92280,101047)
[141] [ 22618, 48029) [103925,110529) [   855, 22618) [   855, 22618)
15 Levels: [   855, 22618) [ 22618, 48029) [ 48029, 65594) ... [167949,279488]
> 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/19kdy1324116521.tab") 
+ }
+ }
> m

	 Conditional inference tree with 8 terminal nodes

Response:  as.factor(X.karakters) 
Inputs:  X.PageViews, X.SecRFC, X.LogIns, X.CourseCompViews, X.CompViewsPR, X.shared, X.Blogs, X.Reviews, X.FBMinPR, X.FBMinPR.120, X.revisions, X.seconden, X.hyperlinks, X.blogs 
Number of observations:  144 

1) X.revisions <= 4527; criterion = 1, statistic = 103.739
  2)*  weights = 12 
1) X.revisions > 4527
  3) X.revisions <= 10621; criterion = 1, statistic = 80.68
    4)*  weights = 11 
  3) X.revisions > 10621
    5) X.revisions <= 42721; criterion = 1, statistic = 62.367
      6) X.hyperlinks <= 90; criterion = 1, statistic = 52.553
        7)*  weights = 14 
      6) X.hyperlinks > 90
        8) X.revisions <= 16378; criterion = 0.999, statistic = 39.584
          9)*  weights = 7 
        8) X.revisions > 16378
          10) X.hyperlinks <= 176; criterion = 0.996, statistic = 34.395
            11) X.revisions <= 20318; criterion = 0.968, statistic = 28.897
              12)*  weights = 13 
            11) X.revisions > 20318
              13)*  weights = 66 
          10) X.hyperlinks > 176
            14)*  weights = 13 
    5) X.revisions > 42721
      15)*  weights = 8 
> postscript(file="/var/wessaorg/rcomp/tmp/2wu041324116521.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/388ae1324116521.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,]   13    4
  [2,]   15    3
  [3,]    6    3
  [4,]    4    2
  [5,]    8    3
  [6,]    5    2
  [7,]   11    3
  [8,]    4    2
  [9,]    2    1
 [10,]   13    7
 [11,]    3    2
 [12,]   14    7
 [13,]   14    7
 [14,]    2    1
 [15,]    9    3
 [16,]    4    3
 [17,]   12   11
 [18,]   12    7
 [19,]   12    7
 [20,]    2    2
 [21,]    2    2
 [22,]   13    7
 [23,]    7    3
 [24,]   14    7
 [25,]   10    4
 [26,]   15   15
 [27,]   11    7
 [28,]    4    3
 [29,]    8    4
 [30,]    8    3
 [31,]   13    7
 [32,]   13   11
 [33,]   11   11
 [34,]    9    7
 [35,]   12   11
 [36,]   11    7
 [37,]    9    3
 [38,]    5    3
 [39,]    3    3
 [40,]   12    7
 [41,]    7    4
 [42,]    1    1
 [43,]    8    7
 [44,]   10    7
 [45,]    3    3
 [46,]    5    4
 [47,]    8    7
 [48,]   13    7
 [49,]    9    7
 [50,]   15   11
 [51,]    1    1
 [52,]    2    2
 [53,]   14   11
 [54,]    5    4
 [55,]    8    7
 [56,]   14    7
 [57,]    6    4
 [58,]   12    7
 [59,]    6    4
 [60,]   15    7
 [61,]   15   15
 [62,]   14   11
 [63,]    9    7
 [64,]   15    7
 [65,]   13    7
 [66,]   15   15
 [67,]    9    7
 [68,]    2    2
 [69,]    2    2
 [70,]    3    3
 [71,]   11   11
 [72,]   14    7
 [73,]    4    4
 [74,]   11    7
 [75,]    2    2
 [76,]    7    7
 [77,]    4    4
 [78,]   10   11
 [79,]    3    3
 [80,]    5    7
 [81,]    4    4
 [82,]    9    7
 [83,]   11   11
 [84,]   14    7
 [85,]    3    3
 [86,]   14   15
 [87,]    8    7
 [88,]    5    7
 [89,]    2    2
 [90,]   13    7
 [91,]    6    7
 [92,]   13    7
 [93,]   15   15
 [94,]    5    3
 [95,]   12    7
 [96,]    6    7
 [97,]    3    3
 [98,]    4    4
 [99,]   12    7
[100,]    8    7
[101,]    7    7
[102,]    1    1
[103,]    1    1
[104,]    6    7
[105,]   14   11
[106,]   12    7
[107,]   10    7
[108,]    7    7
[109,]   15   15
[110,]    7    7
[111,]    6    7
[112,]    4    4
[113,]    5    7
[114,]    3    3
[115,]   10    7
[116,]    9    7
[117,]   10    7
[118,]    8    7
[119,]   10    7
[120,]    4    7
[121,]   10    7
[122,]   11   11
[123,]    7    7
[124,]   12   15
[125,]    6    7
[126,]   11    7
[127,]    1    1
[128,]    1    1
[129,]    1    1
[130,]   11   11
[131,]    6    7
[132,]    9    7
[133,]    5    7
[134,]   10    7
[135,]    7    7
[136,]    6    7
[137,]    3    3
[138,]    7    7
[139,]    1    1
[140,]    7    7
[141,]    2    3
[142,]    9   15
[143,]    1    1
[144,]    1    1
                 
                  [   855, 22618) [ 22618, 48029) [ 48029, 65594)
  [   855, 22618)              10               0               0
  [ 22618, 48029)               2               7               1
  [ 48029, 65594)               0               1               8
  [ 65594, 72128)               0               2               2
  [ 72128, 83243)               0               1               2
  [ 83243, 92280)               0               0               1
  [ 92280,101047)               0               0               1
  [101047,103925)               0               0               2
  [103925,110529)               0               0               2
  [110529,119442)               0               0               0
  [119442,128692)               0               0               1
  [128692,143372)               0               0               0
  [143372,149959)               0               0               0
  [149959,167949)               0               0               0
  [167949,279488]               0               0               1
                 
                  [ 65594, 72128) [ 72128, 83243) [ 83243, 92280)
  [   855, 22618)               0               0               0
  [ 22618, 48029)               0               0               0
  [ 48029, 65594)               0               0               0
  [ 65594, 72128)               5               0               0
  [ 72128, 83243)               2               0               0
  [ 83243, 92280)               2               0               0
  [ 92280,101047)               1               0               0
  [101047,103925)               1               0               0
  [103925,110529)               0               0               0
  [110529,119442)               1               0               0
  [119442,128692)               0               0               0
  [128692,143372)               0               0               0
  [143372,149959)               1               0               0
  [149959,167949)               0               0               0
  [167949,279488]               0               0               0
                 
                  [ 92280,101047) [101047,103925) [103925,110529)
  [   855, 22618)               0               0               0
  [ 22618, 48029)               0               0               0
  [ 48029, 65594)               0               0               0
  [ 65594, 72128)               1               0               0
  [ 72128, 83243)               4               0               0
  [ 83243, 92280)               7               0               0
  [ 92280,101047)               8               0               0
  [101047,103925)               6               0               0
  [103925,110529)               7               0               0
  [110529,119442)               7               0               0
  [119442,128692)               4               0               0
  [128692,143372)               7               0               0
  [143372,149959)               7               0               0
  [149959,167949)               6               0               0
  [167949,279488]               2               0               0
                 
                  [110529,119442) [119442,128692) [128692,143372)
  [   855, 22618)               0               0               0
  [ 22618, 48029)               0               0               0
  [ 48029, 65594)               0               0               0
  [ 65594, 72128)               0               0               0
  [ 72128, 83243)               0               0               0
  [ 83243, 92280)               0               0               0
  [ 92280,101047)               0               0               0
  [101047,103925)               0               0               0
  [103925,110529)               0               0               0
  [110529,119442)               0               1               0
  [119442,128692)               0               5               0
  [128692,143372)               0               2               0
  [143372,149959)               0               1               0
  [149959,167949)               0               3               0
  [167949,279488]               0               1               0
                 
                  [143372,149959) [149959,167949) [167949,279488]
  [   855, 22618)               0               0               0
  [ 22618, 48029)               0               0               0
  [ 48029, 65594)               0               0               0
  [ 65594, 72128)               0               0               0
  [ 72128, 83243)               0               0               0
  [ 83243, 92280)               0               0               0
  [ 92280,101047)               0               0               0
  [101047,103925)               0               0               0
  [103925,110529)               0               0               1
  [110529,119442)               0               0               0
  [119442,128692)               0               0               0
  [128692,143372)               0               0               1
  [143372,149959)               0               0               0
  [149959,167949)               0               0               1
  [167949,279488]               0               0               5
> postscript(file="/var/wessaorg/rcomp/tmp/4vfdf1324116521.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/5bzn61324116521.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/6xa3t1324116521.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/7560v1324116521.tab") 
+ }
> 
> try(system("convert tmp/2wu041324116521.ps tmp/2wu041324116521.png",intern=TRUE))
character(0)
> try(system("convert tmp/388ae1324116521.ps tmp/388ae1324116521.png",intern=TRUE))
character(0)
> try(system("convert tmp/4vfdf1324116521.ps tmp/4vfdf1324116521.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  4.385   0.302   4.715