R version 2.8.0 (2008-10-20) Copyright (C) 2008 The R Foundation for Statistical Computing ISBN 3-900051-07-0 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. Natural language support but running in an English locale 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(46 + ,11 + ,52 + ,26 + ,23 + ,44 + ,8 + ,39 + ,25 + ,15 + ,42 + ,10 + ,42 + ,28 + ,25 + ,41 + ,12 + ,35 + ,30 + ,18 + ,48 + ,12 + ,32 + ,28 + ,21 + ,49 + ,10 + ,49 + ,40 + ,19 + ,51 + ,8 + ,33 + ,28 + ,15 + ,47 + ,10 + ,47 + ,27 + ,22 + ,49 + ,11 + ,46 + ,25 + ,19 + ,46 + ,7 + ,40 + ,27 + ,20 + ,51 + ,10 + ,33 + ,32 + ,26 + ,54 + ,9 + ,39 + ,28 + ,26 + ,52 + ,9 + ,37 + ,21 + ,21 + ,52 + ,11 + ,56 + ,40 + ,18 + ,45 + ,12 + ,36 + ,29 + ,19 + ,52 + ,5 + ,24 + ,27 + ,19 + ,56 + ,10 + ,56 + ,31 + ,18 + ,54 + ,11 + ,32 + ,33 + ,19 + ,50 + ,12 + ,41 + ,28 + ,24 + ,35 + ,9 + ,24 + ,26 + ,28 + ,48 + ,3 + ,42 + ,25 + ,20 + ,37 + ,10 + ,47 + ,37 + ,27 + ,47 + ,7 + ,25 + ,13 + ,18 + ,31 + ,9 + ,33 + ,32 + ,19 + ,45 + ,9 + ,43 + ,32 + ,24 + ,47 + ,10 + ,45 + ,38 + ,21 + ,44 + ,9 + ,44 + ,30 + ,22 + ,30 + ,19 + ,46 + ,33 + ,25 + ,40 + ,14 + ,31 + ,22 + ,19 + ,44 + ,5 + ,31 + ,29 + ,15 + ,43 + ,13 + ,42 + ,33 + ,34 + ,51 + ,7 + ,28 + ,31 + ,23 + ,48 + ,8 + ,38 + ,23 + ,19 + ,55 + ,11 + ,59 + ,42 + ,26 + ,48 + ,11 + ,43 + ,35 + ,15 + ,53 + ,12 + ,29 + ,31 + ,15 + ,49 + ,9 + ,38 + ,31 + ,17 + ,44 + ,13 + ,39 + ,38 + ,30 + ,45 + ,12 + ,50 + ,34 + ,19 + ,40 + ,11 + ,44 + ,33 + ,28 + ,44 + ,18 + ,29 + ,23 + ,23 + ,41 + ,8 + ,29 + ,18 + ,23 + ,46 + ,14 + ,36 + ,33 + ,21 + ,47 + ,10 + ,43 + ,26 + ,18 + ,48 + ,13 + ,28 + ,29 + ,19 + ,43 + ,13 + ,39 + ,23 + ,24 + ,46 + ,8 + ,35 + ,18 + ,15 + ,53 + ,10 + ,43 + ,36 + ,20 + ,33 + ,8 + ,28 + ,21 + ,24 + ,47 + ,9 + ,49 + ,31 + ,9 + ,43 + ,10 + ,33 + ,31 + ,20 + ,45 + ,9 + ,39 + ,29 + ,20 + ,49 + ,9 + ,36 + ,24 + ,10 + ,45 + ,9 + ,24 + ,35 + ,44 + ,37 + ,10 + ,47 + ,37 + ,20 + ,42 + ,8 + ,34 + ,29 + ,20 + ,43 + ,11 + ,33 + ,31 + ,11 + ,44 + ,11 + ,43 + ,34 + ,21 + ,39 + ,10 + ,41 + ,38 + ,21 + ,37 + ,23 + ,40 + ,27 + ,19 + ,53 + ,9 + ,39 + ,33 + ,17 + ,48 + ,12 + ,54 + ,36 + ,16 + ,47 + ,9 + ,43 + ,27 + ,14 + ,49 + ,9 + ,45 + ,33 + ,19 + ,47 + ,8 + ,29 + ,24 + ,21 + ,56 + ,9 + ,45 + ,31 + ,16 + ,51 + ,9 + ,47 + ,31 + ,19 + ,43 + ,9 + ,38 + ,23 + ,19 + ,51 + ,11 + ,52 + ,38 + ,16 + ,36 + ,12 + ,34 + ,30 + ,24 + ,55 + ,8 + ,56 + ,39 + ,29 + ,33 + ,9 + ,26 + ,28 + ,21 + ,42 + ,10 + ,42 + ,39 + ,20 + ,43 + ,8 + ,32 + ,19 + ,23 + ,44 + ,9 + ,39 + ,32 + ,18 + ,47 + ,9 + ,37 + ,32 + ,19 + ,43 + ,13 + ,37 + ,35 + ,23 + ,47 + ,11 + ,52 + ,42 + ,19 + ,41 + ,18 + ,31 + ,25 + ,21 + ,53 + ,10 + ,34 + ,11 + ,26 + ,47 + ,14 + ,38 + ,31 + ,13 + ,23 + ,7 + ,29 + ,30 + ,23 + ,43 + ,10 + ,52 + ,30 + ,17 + ,47 + ,9 + ,40 + ,31 + ,30 + ,47 + ,9 + ,47 + ,28 + ,19 + ,49 + ,12 + ,34 + ,34 + ,22 + ,50 + ,8 + ,37 + ,32 + ,14 + ,43 + ,9 + ,43 + ,30 + ,14 + ,44 + ,8 + ,37 + ,27 + ,21 + ,49 + ,13 + ,55 + ,36 + ,21 + ,47 + ,6 + ,36 + ,32 + ,33 + ,39 + ,11 + ,28 + ,27 + ,23 + ,49 + ,10 + ,47 + ,35 + ,30 + ,41 + ,10 + ,38 + ,34 + ,19 + ,40 + ,14 + ,37 + ,32 + ,21 + ,38 + ,13 + ,32 + ,28 + ,25 + ,43 + ,10 + ,47 + ,29 + ,18 + ,55 + ,8 + ,40 + ,18 + ,25 + ,46 + ,10 + ,45 + ,34 + ,21 + ,54 + ,8 + ,37 + ,35 + ,16 + ,47 + ,10 + ,38 + ,34 + ,17 + ,35 + ,7 + ,37 + ,26 + ,23 + ,41 + ,11 + ,35 + ,30 + ,26 + ,53 + ,10 + ,50 + ,35 + ,18 + ,44 + ,8 + ,32 + ,17 + ,19 + ,48 + ,12 + ,32 + ,34 + ,28 + ,49 + ,12 + ,38 + ,30 + ,20 + ,39 + ,11 + ,31 + ,31 + ,29 + ,45 + ,11 + ,27 + ,25 + ,19 + ,34 + ,6 + ,34 + ,16 + ,18 + ,46 + ,14 + ,43 + ,35 + ,24 + ,45 + ,9 + ,28 + ,28 + ,12 + ,53 + ,11 + ,44 + ,42 + ,19 + ,51 + ,10 + ,43 + ,30 + ,25 + ,45 + ,10 + ,53 + ,37 + ,12 + ,50 + ,8 + ,33 + ,26 + ,15 + ,41 + ,9 + ,36 + ,28 + ,25 + ,44 + ,10 + ,46 + ,33 + ,14 + ,43 + ,10 + ,36 + ,29 + ,19 + ,42 + ,12 + ,24 + ,21 + ,23 + ,48 + ,10 + ,50 + ,38 + ,19 + ,45 + ,11 + ,40 + ,18 + ,24 + ,48 + ,16 + ,40 + ,38 + ,20 + ,48 + ,12 + ,32 + ,30 + ,16 + ,53 + ,10 + ,49 + ,35 + ,13 + ,45 + ,13 + ,47 + ,34 + ,20 + ,45 + ,8 + ,28 + ,21 + ,30 + ,50 + ,12 + ,41 + ,30 + ,18 + ,48 + ,10 + ,25 + ,32 + ,22 + ,41 + ,8 + ,46 + ,23 + ,21 + ,53 + ,14 + ,53 + ,31 + ,25 + ,40 + ,9 + ,34 + ,26 + ,18 + ,49 + ,12 + ,40 + ,29 + ,25 + ,46 + ,10 + ,46 + ,28 + ,44 + ,48 + ,9 + ,38 + ,29 + ,12 + ,43 + ,10 + ,51 + ,36 + ,17 + ,53 + ,11 + ,38 + ,36 + ,26 + ,51 + ,11 + ,45 + ,31 + ,18 + ,41 + ,10 + ,41 + ,30 + ,21 + ,45 + ,10 + ,42 + ,29 + ,24 + ,44 + ,20 + ,36 + ,35 + ,20 + ,43 + ,10 + ,41 + ,26 + ,24 + ,34 + ,8 + ,35 + ,25 + ,28 + ,38 + ,8 + ,42 + ,25 + ,20 + ,40 + ,9 + ,35 + ,20 + ,33 + ,48 + ,18 + ,32 + ,27 + ,19) + ,dim=c(5 + ,146) + ,dimnames=list(c('Carrieremogelijkheden' + ,'Geen_Motivatie' + ,'Leermogelijkheden' + ,'Persoonlijke_redenen' + ,'Ouders') + ,1:146)) > y <- array(NA,dim=c(5,146),dimnames=list(c('Carrieremogelijkheden','Geen_Motivatie','Leermogelijkheden','Persoonlijke_redenen','Ouders'),1:146)) > for (i in 1:dim(x)[1]) + { + for (j in 1:dim(x)[2]) + { + y[i,j] <- as.numeric(x[i,j]) + } + } > par4 = 'yes' > par3 = '3' > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: > #Technical description: > library(party) Loading required package: survival Loading required package: splines Loading required package: grid Loading required package: modeltools Loading required package: stats4 Loading required package: coin Loading required package: mvtnorm Loading required package: zoo Attaching package: 'zoo' The following object(s) are masked from package:base : as.Date.numeric Loading required package: sandwich Loading required package: strucchange Loading required package: vcd Loading required package: MASS Loading required package: colorspace > library(Hmisc) Attaching package: 'Hmisc' The following object(s) are masked from package:survival : untangle.specials The following object(s) are masked from package:base : format.pval, round.POSIXt, trunc.POSIXt, units > par1 <- as.numeric(par1) > par3 <- as.numeric(par3) > x <- data.frame(t(y)) > is.data.frame(x) [1] TRUE > x <- x[!is.na(x[,par1]),] > k <- length(x[1,]) > n <- length(x[,1]) > colnames(x)[par1] [1] "Persoonlijke_redenen" > x[,par1] [1] 26 25 28 30 28 40 28 27 25 27 32 28 21 40 29 27 31 33 28 26 25 37 13 32 32 [26] 38 30 33 22 29 33 31 23 42 35 31 31 38 34 33 23 18 33 26 29 23 18 36 21 31 [51] 31 29 24 35 37 29 31 34 38 27 33 36 27 33 24 31 31 23 38 30 39 28 39 19 32 [76] 32 35 42 25 11 31 30 30 31 28 34 32 30 27 36 32 27 35 34 32 28 29 18 34 35 [101] 34 26 30 35 17 34 30 31 25 16 35 28 42 30 37 26 28 33 29 21 38 18 38 30 35 [126] 34 21 30 32 23 31 26 29 28 29 36 36 31 30 29 35 26 25 25 20 27 > if (par2 == 'kmeans') { + cl <- kmeans(x[,par1], par3) + print(cl) + clm <- matrix(cbind(cl$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]) [11,29) [29,33) [33,42] 55 45 46 > colnames(x) [1] "Carrieremogelijkheden" "Geen_Motivatie" "Leermogelijkheden" [4] "Persoonlijke_redenen" "Ouders" > colnames(x)[par1] [1] "Persoonlijke_redenen" > x[,par1] [1] [11,29) [11,29) [11,29) [29,33) [11,29) [33,42] [11,29) [11,29) [11,29) [10] [11,29) [29,33) [11,29) [11,29) [33,42] [29,33) [11,29) [29,33) [33,42] [19] [11,29) [11,29) [11,29) [33,42] [11,29) [29,33) [29,33) [33,42] [29,33) [28] [33,42] [11,29) [29,33) [33,42] [29,33) [11,29) [33,42] [33,42] [29,33) [37] [29,33) [33,42] [33,42] [33,42] [11,29) [11,29) [33,42] [11,29) [29,33) [46] [11,29) [11,29) [33,42] [11,29) [29,33) [29,33) [29,33) [11,29) [33,42] [55] [33,42] [29,33) [29,33) [33,42] [33,42] [11,29) [33,42] [33,42] [11,29) [64] [33,42] [11,29) [29,33) [29,33) [11,29) [33,42] [29,33) [33,42] [11,29) [73] [33,42] [11,29) [29,33) [29,33) [33,42] [33,42] [11,29) [11,29) [29,33) [82] [29,33) [29,33) [29,33) [11,29) [33,42] [29,33) [29,33) [11,29) [33,42] [91] [29,33) [11,29) [33,42] [33,42] [29,33) [11,29) [29,33) [11,29) [33,42] [100] [33,42] [33,42] [11,29) [29,33) [33,42] [11,29) [33,42] [29,33) [29,33) [109] [11,29) [11,29) [33,42] [11,29) [33,42] [29,33) [33,42] [11,29) [11,29) [118] [33,42] [29,33) [11,29) [33,42] [11,29) [33,42] [29,33) [33,42] [33,42] [127] [11,29) [29,33) [29,33) [11,29) [29,33) [11,29) [29,33) [11,29) [29,33) [136] [33,42] [33,42] [29,33) [29,33) [29,33) [33,42] [11,29) [11,29) [11,29) [145] [11,29) [11,29) Levels: [11,29) [29,33) [33,42] > if (par2 == 'none') { + m <- ctree(as.formula(paste(colnames(x)[par1],' ~ .',sep='')),data = x) + } > > #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/freestat/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/freestat/rcomp/tmp/1307j1292931524.tab") + } + } m.ct.i.pred m.ct.i.actu 1 2 3 1 391 32 68 2 270 34 98 3 134 19 264 [1] 0.796334 [1] 0.08457711 [1] 0.6330935 [1] 0.5259542 m.ct.x.pred m.ct.x.actu 1 2 3 1 43 1 15 2 32 2 14 3 16 3 24 [1] 0.7288136 [1] 0.04166667 [1] 0.5581395 [1] 0.46 > m Conditional inference tree with 2 terminal nodes Response: as.factor(Persoonlijke_redenen) Inputs: Carrieremogelijkheden, Geen_Motivatie, Leermogelijkheden, Ouders Number of observations: 146 1) Leermogelijkheden <= 42; criterion = 1, statistic = 31.464 2)* weights = 97 1) Leermogelijkheden > 42 3)* weights = 49 > postscript(file="/var/www/html/freestat/rcomp/tmp/2307j1292931524.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/freestat/rcomp/tmp/3307j1292931524.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,] 1 3 [2,] 1 1 [3,] 1 1 [4,] 2 1 [5,] 1 1 [6,] 3 3 [7,] 1 1 [8,] 1 3 [9,] 1 3 [10,] 1 1 [11,] 2 1 [12,] 1 1 [13,] 1 1 [14,] 3 3 [15,] 2 1 [16,] 1 1 [17,] 2 3 [18,] 3 1 [19,] 1 1 [20,] 1 1 [21,] 1 1 [22,] 3 3 [23,] 1 1 [24,] 2 1 [25,] 2 3 [26,] 3 3 [27,] 2 3 [28,] 3 3 [29,] 1 1 [30,] 2 1 [31,] 3 1 [32,] 2 1 [33,] 1 1 [34,] 3 3 [35,] 3 3 [36,] 2 1 [37,] 2 1 [38,] 3 1 [39,] 3 3 [40,] 3 3 [41,] 1 1 [42,] 1 1 [43,] 3 1 [44,] 1 3 [45,] 2 1 [46,] 1 1 [47,] 1 1 [48,] 3 3 [49,] 1 1 [50,] 2 3 [51,] 2 1 [52,] 2 1 [53,] 1 1 [54,] 3 1 [55,] 3 3 [56,] 2 1 [57,] 2 1 [58,] 3 3 [59,] 3 1 [60,] 1 1 [61,] 3 1 [62,] 3 3 [63,] 1 3 [64,] 3 3 [65,] 1 1 [66,] 2 3 [67,] 2 3 [68,] 1 1 [69,] 3 3 [70,] 2 1 [71,] 3 3 [72,] 1 1 [73,] 3 1 [74,] 1 1 [75,] 2 1 [76,] 2 1 [77,] 3 1 [78,] 3 3 [79,] 1 1 [80,] 1 1 [81,] 2 1 [82,] 2 1 [83,] 2 3 [84,] 2 1 [85,] 1 3 [86,] 3 1 [87,] 2 1 [88,] 2 3 [89,] 1 1 [90,] 3 3 [91,] 2 1 [92,] 1 1 [93,] 3 3 [94,] 3 1 [95,] 2 1 [96,] 1 1 [97,] 2 3 [98,] 1 1 [99,] 3 3 [100,] 3 1 [101,] 3 1 [102,] 1 1 [103,] 2 1 [104,] 3 3 [105,] 1 1 [106,] 3 1 [107,] 2 1 [108,] 2 1 [109,] 1 1 [110,] 1 1 [111,] 3 3 [112,] 1 1 [113,] 3 3 [114,] 2 3 [115,] 3 3 [116,] 1 1 [117,] 1 1 [118,] 3 3 [119,] 2 1 [120,] 1 1 [121,] 3 3 [122,] 1 1 [123,] 3 1 [124,] 2 1 [125,] 3 3 [126,] 3 3 [127,] 1 1 [128,] 2 1 [129,] 2 1 [130,] 1 3 [131,] 2 3 [132,] 1 1 [133,] 2 1 [134,] 1 3 [135,] 2 1 [136,] 3 3 [137,] 3 1 [138,] 2 3 [139,] 2 1 [140,] 2 1 [141,] 3 1 [142,] 1 1 [143,] 1 1 [144,] 1 1 [145,] 1 1 [146,] 1 1 [11,29) [29,33) [33,42] [11,29) 47 0 8 [29,33) 33 0 12 [33,42] 17 0 29 > postscript(file="/var/www/html/freestat/rcomp/tmp/4wao41292931524.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/freestat/rcomp/tmp/5s2mv1292931524.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/freestat/rcomp/tmp/63b3y1292931524.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/freestat/rcomp/tmp/7obkm1292931524.tab") + } > > try(system("convert tmp/2307j1292931524.ps tmp/2307j1292931524.png",intern=TRUE)) character(0) > try(system("convert tmp/3307j1292931524.ps tmp/3307j1292931524.png",intern=TRUE)) character(0) > try(system("convert tmp/4wao41292931524.ps tmp/4wao41292931524.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 4.340 0.676 4.508