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Type 'q()' to quit R. > x <- array(list(631923 + ,-12 + ,-10.8 + ,654294 + ,-13 + ,-12.2 + ,671833 + ,-16 + ,-14.1 + ,586840 + ,-10 + ,-15.2 + ,600969 + ,-4 + ,-15.8 + ,625568 + ,-9 + ,-15.8 + ,558110 + ,-8 + ,-14.9 + ,630577 + ,-9 + ,-12.6 + ,628654 + ,-3 + ,-9.9 + ,603184 + ,-13 + ,-7.8 + ,656255 + ,-3 + ,-6 + ,600730 + ,-1 + ,-5 + ,670326 + ,-2 + ,-4.5 + ,678423 + ,0 + ,-3.9 + ,641502 + ,0 + ,-2.9 + ,625311 + ,-3 + ,-1.5 + ,628177 + ,0 + ,-0.5 + ,589767 + ,5 + ,0 + ,582471 + ,3 + ,0.5 + ,636248 + ,4 + ,0.9 + ,599885 + ,3 + ,0.8 + ,621694 + ,1 + ,0.1 + ,637406 + ,-1 + ,-1 + ,596994 + ,0 + ,-2 + ,696308 + ,-2 + ,-3 + ,674201 + ,-1 + ,-3.7 + ,648861 + ,2 + ,-4.7 + ,649605 + ,0 + ,-6.4 + ,672392 + ,-6 + ,-7.5 + ,598396 + ,-7 + ,-7.8 + ,613177 + ,-6 + ,-7.7 + ,638104 + ,-4 + ,-6.6 + ,615632 + ,-9 + ,-4.2 + ,634465 + ,-2 + ,-2 + ,638686 + ,-3 + ,-0.7 + ,604243 + ,2 + ,0.1 + ,706669 + ,3 + ,0.9 + ,677185 + ,1 + ,2.1 + ,644328 + ,0 + ,3.5 + ,644825 + ,1 + ,4.9 + ,605707 + ,1 + ,5.7 + ,600136 + ,3 + ,6.2 + ,612166 + ,5 + ,6.5 + ,599659 + ,5 + ,6.5 + ,634210 + ,4 + ,6.3 + ,618234 + ,11 + ,6.2 + ,613576 + ,8 + ,6.4 + ,627200 + ,-1 + ,6.3 + ,668973 + ,4 + ,5.8 + ,651479 + ,4 + ,5.1 + ,619661 + ,4 + ,5.1 + ,644260 + ,6 + ,5.8 + ,579936 + ,6 + ,6.7 + ,601752 + ,6 + ,7.1 + ,595376 + ,6 + ,6.7 + ,588902 + ,4 + ,5.5 + ,634341 + ,1 + ,4.2 + ,594305 + ,6 + ,3 + ,606200 + ,0 + ,2.2 + ,610926 + ,2 + ,2 + ,633685 + ,-2 + ,1.8 + ,639696 + ,0 + ,1.8 + ,659451 + ,1 + ,1.5 + ,593248 + ,-3 + ,0.4 + ,606677 + ,-3 + ,-0.9 + ,599434 + ,-5 + ,-1.7 + ,569578 + ,-7 + ,-2.6 + ,629873 + ,-7 + ,-4.4 + ,613438 + ,-5 + ,-8.3 + ,604172 + ,-13 + ,-14.4 + ,658328 + ,-16 + ,-21.3 + ,612633 + ,-20 + ,-26.5 + ,707372 + ,-18 + ,-29.2 + ,739770 + ,-21 + ,-30.8 + ,777535 + ,-20 + ,-30.9 + ,685030 + ,-16 + ,-29.5 + ,730234 + ,-14 + ,-27.1 + ,714154 + ,-12 + ,-24.4 + ,630872 + ,-10 + ,-21.9 + ,719492 + ,-3 + ,-19.3 + ,677023 + ,-4 + ,-17 + ,679272 + ,-4 + ,-13.8 + ,718317 + ,-1 + ,-9.9 + ,645672 + ,-8 + ,-7.9) + ,dim=c(3 + ,84) + ,dimnames=list(c('Werkloosheid' + ,'Consumentenvertrouwen' + ,'Ondernemersvertrouwen') + ,1:84)) > y <- array(NA,dim=c(3,84),dimnames=list(c('Werkloosheid','Consumentenvertrouwen','Ondernemersvertrouwen'),1:84)) > 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 = '2' > par2 = 'quantiles' > par1 = '1' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: > #Technical description: > library(party) Loading required package: survival Loading required package: splines Loading required package: grid Loading required package: modeltools Loading required package: stats4 Loading required package: coin Loading required package: mvtnorm Loading required package: zoo Attaching package: 'zoo' The following object(s) are masked from package:base : as.Date.numeric Loading required package: sandwich Loading required package: strucchange Loading required package: vcd Loading required package: MASS Loading required package: colorspace > library(Hmisc) Attaching package: 'Hmisc' The following object(s) are masked from package:survival : untangle.specials The following object(s) are masked from package:base : format.pval, round.POSIXt, trunc.POSIXt, units > par1 <- as.numeric(par1) > par3 <- as.numeric(par3) > x <- data.frame(t(y)) > is.data.frame(x) [1] TRUE > x <- x[!is.na(x[,par1]),] > k <- length(x[1,]) > n <- length(x[,1]) > colnames(x)[par1] [1] "Werkloosheid" > x[,par1] [1] 631923 654294 671833 586840 600969 625568 558110 630577 628654 603184 [11] 656255 600730 670326 678423 641502 625311 628177 589767 582471 636248 [21] 599885 621694 637406 596994 696308 674201 648861 649605 672392 598396 [31] 613177 638104 615632 634465 638686 604243 706669 677185 644328 644825 [41] 605707 600136 612166 599659 634210 618234 613576 627200 668973 651479 [51] 619661 644260 579936 601752 595376 588902 634341 594305 606200 610926 [61] 633685 639696 659451 593248 606677 599434 569578 629873 613438 604172 [71] 658328 612633 707372 739770 777535 685030 730234 714154 630872 719492 [81] 677023 679272 718317 645672 > if (par2 == 'kmeans') { + cl <- kmeans(x[,par1], par3) + print(cl) + clm <- matrix(cbind(cl$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]) [558110,630872) [630872,777535] 42 42 > colnames(x) [1] "Werkloosheid" "Consumentenvertrouwen" "Ondernemersvertrouwen" > colnames(x)[par1] [1] "Werkloosheid" > x[,par1] [1] [630872,777535] [630872,777535] [630872,777535] [558110,630872) [5] [558110,630872) [558110,630872) [558110,630872) [558110,630872) [9] [558110,630872) [558110,630872) [630872,777535] [558110,630872) [13] [630872,777535] [630872,777535] [630872,777535] [558110,630872) [17] [558110,630872) [558110,630872) [558110,630872) [630872,777535] [21] [558110,630872) [558110,630872) [630872,777535] [558110,630872) [25] [630872,777535] [630872,777535] [630872,777535] [630872,777535] [29] [630872,777535] [558110,630872) [558110,630872) [630872,777535] [33] [558110,630872) [630872,777535] [630872,777535] [558110,630872) [37] [630872,777535] [630872,777535] [630872,777535] [630872,777535] [41] [558110,630872) [558110,630872) [558110,630872) [558110,630872) [45] [630872,777535] [558110,630872) [558110,630872) [558110,630872) [49] [630872,777535] [630872,777535] [558110,630872) [630872,777535] [53] [558110,630872) [558110,630872) [558110,630872) [558110,630872) [57] [630872,777535] [558110,630872) [558110,630872) [558110,630872) [61] [630872,777535] [630872,777535] [630872,777535] [558110,630872) [65] [558110,630872) [558110,630872) [558110,630872) [558110,630872) [69] [558110,630872) [558110,630872) [630872,777535] [558110,630872) [73] [630872,777535] [630872,777535] [630872,777535] [630872,777535] [77] [630872,777535] [630872,777535] [630872,777535] [630872,777535] [81] [630872,777535] [630872,777535] [630872,777535] [630872,777535] Levels: [558110,630872) [630872,777535] > if (par2 == 'none') { + m <- ctree(as.formula(paste(colnames(x)[par1],' ~ .',sep='')),data = x) + } > > #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/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/www/html/rcomp/tmp/1ph1d1292968443.tab") + } + } > m Conditional inference tree with 2 terminal nodes Response: as.factor(Werkloosheid) Inputs: Consumentenvertrouwen, Ondernemersvertrouwen Number of observations: 84 1) Ondernemersvertrouwen <= -17; criterion = 0.975, statistic = 6.206 2)* weights = 11 1) Ondernemersvertrouwen > -17 3)* weights = 73 > postscript(file="/var/www/html/rcomp/tmp/2ntp41292968443.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/www/html/rcomp/tmp/3ntp41292968443.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 1 [2,] 2 1 [3,] 2 1 [4,] 1 1 [5,] 1 1 [6,] 1 1 [7,] 1 1 [8,] 1 1 [9,] 1 1 [10,] 1 1 [11,] 2 1 [12,] 1 1 [13,] 2 1 [14,] 2 1 [15,] 2 1 [16,] 1 1 [17,] 1 1 [18,] 1 1 [19,] 1 1 [20,] 2 1 [21,] 1 1 [22,] 1 1 [23,] 2 1 [24,] 1 1 [25,] 2 1 [26,] 2 1 [27,] 2 1 [28,] 2 1 [29,] 2 1 [30,] 1 1 [31,] 1 1 [32,] 2 1 [33,] 1 1 [34,] 2 1 [35,] 2 1 [36,] 1 1 [37,] 2 1 [38,] 2 1 [39,] 2 1 [40,] 2 1 [41,] 1 1 [42,] 1 1 [43,] 1 1 [44,] 1 1 [45,] 2 1 [46,] 1 1 [47,] 1 1 [48,] 1 1 [49,] 2 1 [50,] 2 1 [51,] 1 1 [52,] 2 1 [53,] 1 1 [54,] 1 1 [55,] 1 1 [56,] 1 1 [57,] 2 1 [58,] 1 1 [59,] 1 1 [60,] 1 1 [61,] 2 1 [62,] 2 1 [63,] 2 1 [64,] 1 1 [65,] 1 1 [66,] 1 1 [67,] 1 1 [68,] 1 1 [69,] 1 1 [70,] 1 1 [71,] 2 2 [72,] 1 2 [73,] 2 2 [74,] 2 2 [75,] 2 2 [76,] 2 2 [77,] 2 2 [78,] 2 2 [79,] 2 2 [80,] 2 2 [81,] 2 2 [82,] 2 1 [83,] 2 1 [84,] 2 1 [558110,630872) [630872,777535] [558110,630872) 41 1 [630872,777535] 32 10 > postscript(file="/var/www/html/rcomp/tmp/4bi0j1292968443.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/www/html/rcomp/tmp/579xr1292968443.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/www/html/rcomp/tmp/6i1fu1292968443.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/www/html/rcomp/tmp/7l1di1292968443.tab") + } > > try(system("convert tmp/2ntp41292968443.ps tmp/2ntp41292968443.png",intern=TRUE)) character(0) > try(system("convert tmp/3ntp41292968443.ps tmp/3ntp41292968443.png",intern=TRUE)) character(0) > try(system("convert tmp/4bi0j1292968443.ps tmp/4bi0j1292968443.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.969 0.487 5.104