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Type 'q()' to quit R. > x <- array(list(8.7 + ,5 + ,10.6 + ,4 + ,9.0 + ,5 + ,9.2 + ,6 + ,8.3 + ,6 + ,7.6 + ,6 + ,9.0 + ,7 + ,8.2 + ,8 + ,9.0 + ,7 + ,8.7 + ,8 + ,9.1 + ,7 + ,8.0 + ,8 + ,7.7 + ,8 + ,9.9 + ,9 + ,8.4 + ,9 + ,9.0 + ,8 + ,8.8 + ,9 + ,8.3 + ,9 + ,8.8 + ,10 + ,9.8 + ,11 + ,8.1 + ,12 + ,8.9 + ,13 + ,7.4 + ,13 + ,8.9 + ,13 + ,9.8 + ,14 + ,8.5 + ,14 + ,9.7 + ,15 + ,7.7 + ,15 + ,8.8 + ,16 + ,9.6 + ,16 + ,9.6 + ,17 + ,7.8 + ,18 + ,9.4 + ,19 + ,9.4 + ,20 + ,8.8 + ,22 + ,10.1 + ,20 + ,9.0 + ,22 + ,8.0 + ,25 + ,7.8 + ,24 + ,10.0 + ,25 + ,8.9 + ,28 + ,8.9 + ,26 + ,8.6 + ,27 + ,9.0 + ,26 + ,9.3 + ,25 + ,8.9 + ,27 + ,7.0 + ,28 + ,9.3 + ,30 + ,8.4 + ,31 + ,9.0 + ,32 + ,8.9 + ,34 + ,9.4 + ,34 + ,8.3 + ,33 + ,8.8 + ,32 + ,7.5 + ,34 + ,7.5 + ,36 + ,8.2 + ,37 + ,8.1 + ,40 + ,8.2 + ,38 + ,8.4 + ,38 + ,9.3 + ,36 + ,9.2 + ,40 + ,8.3 + ,40 + ,8.6 + ,42 + ,9.2 + ,44 + ,9.5 + ,45 + ,9.2 + ,47 + ,9.4 + ,49 + ,8.8 + ,47 + ,8.4 + ,49 + ,9.3 + ,52 + ,9.1 + ,50 + ,8.9 + ,50 + ,9.3 + ,57 + ,8.9 + ,58 + ,8.8 + ,58 + ,8.6 + ,58 + ,9.7 + ,61 + ,10.4 + ,61 + ,9.7 + ,64 + ,10.0 + ,68 + ,9.8 + ,40 + ,9.3 + ,34 + ,9.5 + ,46 + ,8.4 + ,36 + ,9.8 + ,34 + ,8.6 + ,45 + ,9.7 + ,55 + ,10.5 + ,50 + ,8.6 + ,56 + ,9.3 + ,72 + ,9.1 + ,76 + ,9.1 + ,78 + ,9.9 + ,77 + ,9.3 + ,90 + ,9.7 + ,88 + ,8.9 + ,97 + ,10.0 + ,93 + ,9.1 + ,84 + ,9.7 + ,67 + ,9.1 + ,72 + ,10.3 + ,75 + ,9.7 + ,71 + ,9.6 + ,75 + ,9.8 + ,90 + ,9.8 + ,78 + ,9.8 + ,73 + ,8.7 + ,62 + ,9.1 + ,65 + ,8.9 + ,61 + ,10.1 + ,58 + ,9.5 + ,33 + ,10.3 + ,39 + ,9.3 + ,56 + ,10.2 + ,79 + ,10.1 + ,82 + ,10.3 + ,79 + ,9.8 + ,73 + ,9.8 + ,87 + ,9.3 + ,85 + ,9.9 + ,83 + ,9.3 + ,82 + ,9.2 + ,83 + ,8.4 + ,92 + ,10.1 + ,95 + ,9.6 + ,97 + ,10.6 + ,87 + ,10.0 + ,84 + ,10.4 + ,84 + ,8.6 + ,89 + ,8.4 + ,103 + ,9.6 + ,106 + ,9.1 + ,109 + ,10.0 + ,106 + ,10.0 + ,105 + ,9.3 + ,115 + ,9.6 + ,120 + ,9.6 + ,124 + ,9.9 + ,121 + ,9.3 + ,131 + ,9.7 + ,139 + ,10.0 + ,133 + ,9.9 + ,119 + ,10.4 + ,123 + ,9.8 + ,120 + ,9.4 + ,128 + ,9.0 + ,134 + ,9.4 + ,126 + ,9.7 + ,115 + ,10.5 + ,106 + ,10.5 + ,99 + ,9.9 + ,100 + ,8.9 + ,99 + ,9.4 + ,99 + ,9.2 + ,100 + ,10.6 + ,100 + ,11.3 + ,108 + ,11.2 + ,109 + ,10.0 + ,115 + ,10.6 + ,114 + ,10.1 + ,108 + ,11.1 + ,113 + ,10.9 + ,118 + ,9.1 + ,122 + ,10.8 + ,118 + ,10.6 + ,121 + ,11.1 + ,118 + ,11.2 + ,121 + ,10.7 + ,121 + ,11.2 + ,112 + ,11.1 + ,119 + ,10.7 + ,116 + ,11.0 + ,110 + ,11.4 + ,111 + ,11.5 + ,106 + ,10.9 + ,108) + ,dim=c(2 + ,176) + ,dimnames=list(c('Temperatuur' + ,'CO2-uitstoot') + ,1:176)) > y <- array(NA,dim=c(2,176),dimnames=list(c('Temperatuur','CO2-uitstoot'),1:176)) > 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 = '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] "Temperatuur" > x[,par1] [1] 8.7 10.6 9.0 9.2 8.3 7.6 9.0 8.2 9.0 8.7 9.1 8.0 7.7 9.9 8.4 [16] 9.0 8.8 8.3 8.8 9.8 8.1 8.9 7.4 8.9 9.8 8.5 9.7 7.7 8.8 9.6 [31] 9.6 7.8 9.4 9.4 8.8 10.1 9.0 8.0 7.8 10.0 8.9 8.9 8.6 9.0 9.3 [46] 8.9 7.0 9.3 8.4 9.0 8.9 9.4 8.3 8.8 7.5 7.5 8.2 8.1 8.2 8.4 [61] 9.3 9.2 8.3 8.6 9.2 9.5 9.2 9.4 8.8 8.4 9.3 9.1 8.9 9.3 8.9 [76] 8.8 8.6 9.7 10.4 9.7 10.0 9.8 9.3 9.5 8.4 9.8 8.6 9.7 10.5 8.6 [91] 9.3 9.1 9.1 9.9 9.3 9.7 8.9 10.0 9.1 9.7 9.1 10.3 9.7 9.6 9.8 [106] 9.8 9.8 8.7 9.1 8.9 10.1 9.5 10.3 9.3 10.2 10.1 10.3 9.8 9.8 9.3 [121] 9.9 9.3 9.2 8.4 10.1 9.6 10.6 10.0 10.4 8.6 8.4 9.6 9.1 10.0 10.0 [136] 9.3 9.6 9.6 9.9 9.3 9.7 10.0 9.9 10.4 9.8 9.4 9.0 9.4 9.7 10.5 [151] 10.5 9.9 8.9 9.4 9.2 10.6 11.3 11.2 10.0 10.6 10.1 11.1 10.9 9.1 10.8 [166] 10.6 11.1 11.2 10.7 11.2 11.1 10.7 11.0 11.4 11.5 10.9 > 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]) [7.0, 9.4) [9.4,11.5] 91 85 > colnames(x) [1] "Temperatuur" "CO2.uitstoot" > colnames(x)[par1] [1] "Temperatuur" > x[,par1] [1] [7.0, 9.4) [9.4,11.5] [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [7] [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [13] [7.0, 9.4) [9.4,11.5] [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [19] [7.0, 9.4) [9.4,11.5] [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [25] [9.4,11.5] [7.0, 9.4) [9.4,11.5] [7.0, 9.4) [7.0, 9.4) [9.4,11.5] [31] [9.4,11.5] [7.0, 9.4) [9.4,11.5] [9.4,11.5] [7.0, 9.4) [9.4,11.5] [37] [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [9.4,11.5] [7.0, 9.4) [7.0, 9.4) [43] [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [49] [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [9.4,11.5] [7.0, 9.4) [7.0, 9.4) [55] [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [61] [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [9.4,11.5] [67] [7.0, 9.4) [9.4,11.5] [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [73] [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [9.4,11.5] [79] [9.4,11.5] [9.4,11.5] [9.4,11.5] [9.4,11.5] [7.0, 9.4) [9.4,11.5] [85] [7.0, 9.4) [9.4,11.5] [7.0, 9.4) [9.4,11.5] [9.4,11.5] [7.0, 9.4) [91] [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [9.4,11.5] [7.0, 9.4) [9.4,11.5] [97] [7.0, 9.4) [9.4,11.5] [7.0, 9.4) [9.4,11.5] [7.0, 9.4) [9.4,11.5] [103] [9.4,11.5] [9.4,11.5] [9.4,11.5] [9.4,11.5] [9.4,11.5] [7.0, 9.4) [109] [7.0, 9.4) [7.0, 9.4) [9.4,11.5] [9.4,11.5] [9.4,11.5] [7.0, 9.4) [115] [9.4,11.5] [9.4,11.5] [9.4,11.5] [9.4,11.5] [9.4,11.5] [7.0, 9.4) [121] [9.4,11.5] [7.0, 9.4) [7.0, 9.4) [7.0, 9.4) [9.4,11.5] [9.4,11.5] [127] [9.4,11.5] [9.4,11.5] [9.4,11.5] [7.0, 9.4) [7.0, 9.4) [9.4,11.5] [133] [7.0, 9.4) [9.4,11.5] [9.4,11.5] [7.0, 9.4) [9.4,11.5] [9.4,11.5] [139] [9.4,11.5] [7.0, 9.4) [9.4,11.5] [9.4,11.5] [9.4,11.5] [9.4,11.5] [145] [9.4,11.5] [9.4,11.5] [7.0, 9.4) [9.4,11.5] [9.4,11.5] [9.4,11.5] [151] [9.4,11.5] [9.4,11.5] [7.0, 9.4) [9.4,11.5] [7.0, 9.4) [9.4,11.5] [157] [9.4,11.5] [9.4,11.5] [9.4,11.5] [9.4,11.5] [9.4,11.5] [9.4,11.5] [163] [9.4,11.5] [7.0, 9.4) [9.4,11.5] [9.4,11.5] [9.4,11.5] [9.4,11.5] [169] [9.4,11.5] [9.4,11.5] [9.4,11.5] [9.4,11.5] [9.4,11.5] [9.4,11.5] [175] [9.4,11.5] [9.4,11.5] Levels: [7.0, 9.4) [9.4,11.5] > 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/1c7kj1292318795.tab") + } + } m.ct.i.pred m.ct.i.actu 1 2 1 622 192 2 208 564 [1] 0.7641278 [1] 0.73057 [1] 0.7477932 m.ct.x.pred m.ct.x.actu 1 2 1 72 24 2 26 52 [1] 0.75 [1] 0.6666667 [1] 0.7126437 > m Conditional inference tree with 2 terminal nodes Response: as.factor(Temperatuur) Input: CO2.uitstoot Number of observations: 176 1) CO2.uitstoot <= 58; criterion = 1, statistic = 41.102 2)* weights = 90 1) CO2.uitstoot > 58 3)* weights = 86 > postscript(file="/var/www/html/rcomp/tmp/2c7kj1292318795.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/3c7kj1292318795.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 1 [2,] 2 1 [3,] 1 1 [4,] 1 1 [5,] 1 1 [6,] 1 1 [7,] 1 1 [8,] 1 1 [9,] 1 1 [10,] 1 1 [11,] 1 1 [12,] 1 1 [13,] 1 1 [14,] 2 1 [15,] 1 1 [16,] 1 1 [17,] 1 1 [18,] 1 1 [19,] 1 1 [20,] 2 1 [21,] 1 1 [22,] 1 1 [23,] 1 1 [24,] 1 1 [25,] 2 1 [26,] 1 1 [27,] 2 1 [28,] 1 1 [29,] 1 1 [30,] 2 1 [31,] 2 1 [32,] 1 1 [33,] 2 1 [34,] 2 1 [35,] 1 1 [36,] 2 1 [37,] 1 1 [38,] 1 1 [39,] 1 1 [40,] 2 1 [41,] 1 1 [42,] 1 1 [43,] 1 1 [44,] 1 1 [45,] 1 1 [46,] 1 1 [47,] 1 1 [48,] 1 1 [49,] 1 1 [50,] 1 1 [51,] 1 1 [52,] 2 1 [53,] 1 1 [54,] 1 1 [55,] 1 1 [56,] 1 1 [57,] 1 1 [58,] 1 1 [59,] 1 1 [60,] 1 1 [61,] 1 1 [62,] 1 1 [63,] 1 1 [64,] 1 1 [65,] 1 1 [66,] 2 1 [67,] 1 1 [68,] 2 1 [69,] 1 1 [70,] 1 1 [71,] 1 1 [72,] 1 1 [73,] 1 1 [74,] 1 1 [75,] 1 1 [76,] 1 1 [77,] 1 1 [78,] 2 2 [79,] 2 2 [80,] 2 2 [81,] 2 2 [82,] 2 1 [83,] 1 1 [84,] 2 1 [85,] 1 1 [86,] 2 1 [87,] 1 1 [88,] 2 1 [89,] 2 1 [90,] 1 1 [91,] 1 2 [92,] 1 2 [93,] 1 2 [94,] 2 2 [95,] 1 2 [96,] 2 2 [97,] 1 2 [98,] 2 2 [99,] 1 2 [100,] 2 2 [101,] 1 2 [102,] 2 2 [103,] 2 2 [104,] 2 2 [105,] 2 2 [106,] 2 2 [107,] 2 2 [108,] 1 2 [109,] 1 2 [110,] 1 2 [111,] 2 1 [112,] 2 1 [113,] 2 1 [114,] 1 1 [115,] 2 2 [116,] 2 2 [117,] 2 2 [118,] 2 2 [119,] 2 2 [120,] 1 2 [121,] 2 2 [122,] 1 2 [123,] 1 2 [124,] 1 2 [125,] 2 2 [126,] 2 2 [127,] 2 2 [128,] 2 2 [129,] 2 2 [130,] 1 2 [131,] 1 2 [132,] 2 2 [133,] 1 2 [134,] 2 2 [135,] 2 2 [136,] 1 2 [137,] 2 2 [138,] 2 2 [139,] 2 2 [140,] 1 2 [141,] 2 2 [142,] 2 2 [143,] 2 2 [144,] 2 2 [145,] 2 2 [146,] 2 2 [147,] 1 2 [148,] 2 2 [149,] 2 2 [150,] 2 2 [151,] 2 2 [152,] 2 2 [153,] 1 2 [154,] 2 2 [155,] 1 2 [156,] 2 2 [157,] 2 2 [158,] 2 2 [159,] 2 2 [160,] 2 2 [161,] 2 2 [162,] 2 2 [163,] 2 2 [164,] 1 2 [165,] 2 2 [166,] 2 2 [167,] 2 2 [168,] 2 2 [169,] 2 2 [170,] 2 2 [171,] 2 2 [172,] 2 2 [173,] 2 2 [174,] 2 2 [175,] 2 2 [176,] 2 2 [7.0, 9.4) [9.4,11.5] [7.0, 9.4) 68 23 [9.4,11.5] 22 63 > postscript(file="/var/www/html/rcomp/tmp/4ng2m1292318795.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/518hc1292318795.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/6uhgx1292318795.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/7fzxl1292318795.tab") + } > try(system("convert tmp/2c7kj1292318795.ps tmp/2c7kj1292318795.png",intern=TRUE)) character(0) > try(system("convert tmp/3c7kj1292318795.ps tmp/3c7kj1292318795.png",intern=TRUE)) character(0) > try(system("convert tmp/4ng2m1292318795.ps tmp/4ng2m1292318795.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.405 0.500 5.371