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. 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,0.044 + ,34 + ,145 + ,0.9945 + ,3.34 + ,0.57 + ,9.7 + ,6 + ,5.4 + ,0.59 + ,0.07 + ,7 + ,0.045 + ,36 + ,147 + ,0.9944 + ,3.34 + ,0.57 + ,9.7 + ,6 + ,6.9 + ,0.32 + ,0.26 + ,8.3 + ,0.053 + ,32 + ,180 + ,0.9965 + ,3.25 + ,0.51 + ,9.2 + ,6 + ,5.2 + ,0.6 + ,0.07 + ,7 + ,0.044 + ,33 + ,147 + ,0.9944 + ,3.33 + ,0.58 + ,9.7 + ,5 + ,5.8 + ,0.25 + ,0.26 + ,13.1 + ,0.051 + ,44 + ,148 + ,0.9972 + ,3.29 + ,0.38 + ,9.3 + ,5 + ,6.6 + ,0.58 + ,0.3 + ,5.1 + ,0.057 + ,30 + ,123 + ,0.9949 + ,3.24 + ,0.38 + ,9 + ,5 + ,7 + ,0.29 + ,0.54 + ,10.7 + ,0.046 + ,59 + ,234 + ,0.9966 + ,3.05 + ,0.61 + ,9.5 + ,5 + ,6.6 + ,0.19 + ,0.41 + ,8.9 + ,0.046 + ,51 + ,169 + ,0.9954 + ,3.14 + ,0.57 + ,9.8 + ,6 + ,6.7 + ,0.2 + ,0.41 + ,9.1 + ,0.044 + ,50 + ,166 + ,0.9954 + ,3.14 + ,0.58 + ,9.8 + ,6 + ,7.7 + ,0.26 + ,0.4 + ,1.1 + ,0.042 + ,9 + ,60 + ,0.9915 + ,2.89 + ,0.5 + ,10.6 + ,5 + ,6.8 + ,0.32 + ,0.34 + ,1.2 + ,0.044 + ,14 + ,67 + ,0.9919 + ,3.05 + ,0.47 + ,10.6 + ,4 + ,7 + ,0.3 + ,0.49 + ,4.7 + ,0.036 + ,17 + ,105 + ,0.9916 + ,3.26 + ,0.68 + ,12.4 + ,7 + ,7 + ,0.24 + ,0.36 + ,2.8 + ,0.034 + ,22 + ,112 + ,0.99 + ,3.19 + ,0.38 + ,12.6 + ,8 + ,6.1 + ,0.31 + ,0.58 + ,5 + ,0.039 + ,36 + ,114 + ,0.9909 + ,3.3 + ,0.6 + ,12.3 + ,8 + ,6.8 + ,0.44 + ,0.37 + ,5.1 + ,0.047 + ,46 + ,201 + ,0.9938 + ,3.08 + ,0.65 + ,10.5 + ,4 + ,6.7 + ,0.34 + ,0.3 + ,15.6 + ,0.054 + ,51 + ,196 + ,0.9982 + ,3.19 + ,0.49 + ,9.3 + ,5 + ,7.1 + ,0.35 + ,0.24 + ,15.4 + ,0.055 + ,46 + ,198 + ,0.9988 + ,3.12 + ,0.49 + ,8.8 + ,5 + ,7.3 + ,0.32 + ,0.25 + ,7.2 + ,0.056 + ,47 + ,180 + ,0.9961 + ,3.08 + ,0.47 + ,8.8 + ,5 + ,6.5 + ,0.28 + ,0.33 + ,15.7 + ,0.053 + ,51 + ,190 + ,0.9978 + ,3.22 + ,0.51 + ,9.7 + ,6 + ,7.2 + ,0.23 + ,0.39 + ,14.2 + ,0.058 + ,49 + ,192 + ,0.9979 + ,2.98 + ,0.48 + ,9 + ,7 + ,7.2 + ,0.23 + ,0.39 + ,14.2 + ,0.058 + ,49 + ,192 + ,0.9979 + ,2.98 + ,0.48 + ,9 + ,7 + ,7.2 + ,0.23 + ,0.39 + ,14.2 + ,0.058 + ,49 + ,192 + ,0.9979 + ,2.98 + ,0.48 + ,9 + ,7 + ,7.2 + ,0.23 + ,0.39 + ,14.2 + ,0.058 + ,49 + ,192 + ,0.9979 + ,2.98 + ,0.48 + ,9 + ,7 + ,5.9 + ,0.15 + ,0.31 + ,5.8 + ,0.041 + ,53 + ,155 + ,0.9945 + ,3.52 + ,0.46 + ,10.5 + ,6 + ,7.4 + ,0.28 + ,0.42 + ,19.8 + ,0.066 + ,53 + ,195 + ,1 + ,2.96 + ,0.44 + ,9.1 + ,5 + ,6.2 + ,0.28 + ,0.22 + ,7.3 + ,0.041 + ,26 + ,157 + ,0.9957 + ,3.44 + ,0.64 + ,9.8 + ,7 + ,9.1 + ,0.59 + ,0.38 + ,1.6 + ,0.066 + ,34 + ,182 + ,0.9968 + ,3.23 + ,0.38 + ,8.5 + ,3 + ,6.3 + ,0.33 + ,0.27 + ,1.2 + ,0.046 + ,34 + ,175 + ,0.9934 + ,3.37 + ,0.54 + ,9.4 + ,6 + ,8.3 + ,0.39 + ,0.7 + ,10.6 + ,0.045 + ,33 + ,169 + ,0.9976 + ,3.09 + ,0.57 + ,9.4 + ,5 + ,7.2 + ,0.19 + ,0.46 + ,3.8 + ,0.041 + ,82 + ,187 + ,0.9932 + ,3.19 + ,0.6 + ,11.2 + ,7) + ,dim=c(12 + ,298) + ,dimnames=list(c('fixedAcidity' + ,'volatileAcidity' + ,'citricAcid' + ,'residualSugar' + ,'chlorides' + ,'freeSulfurDioxide' + ,'totSulfurDioxide' + ,'density' + ,'pH' + ,'sulphates' + ,'alcohol' + ,'quality') + ,1:298)) > y <- array(NA,dim=c(12,298),dimnames=list(c('fixedAcidity','volatileAcidity','citricAcid','residualSugar','chlorides','freeSulfurDioxide','totSulfurDioxide','density','pH','sulphates','alcohol','quality'),1:298)) > 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 = '12' > 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] "quality" > x[,par1] [1] 6 6 6 6 6 6 6 6 6 6 5 5 5 7 5 7 6 8 6 5 8 7 8 5 6 6 6 6 6 7 6 6 6 6 5 5 5 [38] 6 5 5 6 6 6 6 6 7 4 5 6 5 6 7 7 6 6 6 6 6 6 6 6 6 5 6 6 5 7 5 8 5 6 5 5 6 [75] 8 5 7 7 5 5 6 6 5 6 5 6 6 6 5 6 6 5 7 7 7 6 6 7 4 6 5 5 5 5 5 6 5 6 6 5 6 [112] 5 5 5 5 4 6 6 5 5 5 5 5 6 6 6 5 7 7 6 5 7 5 5 5 5 6 5 7 6 5 5 6 6 6 6 6 4 [149] 7 6 7 6 6 5 6 6 6 7 8 8 7 5 5 6 5 5 6 7 5 5 6 6 4 7 5 6 4 5 4 6 6 5 5 6 5 [186] 5 6 5 8 4 6 5 6 5 5 6 5 5 5 5 5 5 5 6 4 5 5 4 5 6 5 7 5 6 7 5 5 5 5 5 5 6 [223] 7 6 6 5 6 6 6 5 4 6 6 6 6 6 6 6 7 6 5 5 7 6 5 6 7 7 7 5 4 3 5 3 6 8 7 7 6 [260] 4 6 5 5 6 6 5 6 5 6 6 6 5 5 5 5 6 6 5 4 7 8 8 4 5 5 5 6 7 7 7 7 6 5 7 3 6 [297] 5 7 > 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]) [3,7) [7,8] 246 52 > colnames(x) [1] "fixedAcidity" "volatileAcidity" "citricAcid" [4] "residualSugar" "chlorides" "freeSulfurDioxide" [7] "totSulfurDioxide" "density" "pH" [10] "sulphates" "alcohol" "quality" > colnames(x)[par1] [1] "quality" > x[,par1] [1] [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [13] [3,7) [7,8] [3,7) [7,8] [3,7) [7,8] [3,7) [3,7) [7,8] [7,8] [7,8] [3,7) [25] [3,7) [3,7) [3,7) [3,7) [3,7) [7,8] [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [37] [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [7,8] [3,7) [3,7) [49] [3,7) [3,7) [3,7) [7,8] [7,8] [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [61] [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [7,8] [3,7) [7,8] [3,7) [3,7) [3,7) [73] [3,7) [3,7) [7,8] [3,7) [7,8] [7,8] [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [85] [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [7,8] [7,8] [7,8] [3,7) [97] [3,7) [7,8] [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [109] [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [121] [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [7,8] [7,8] [3,7) [3,7) [7,8] [133] [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [7,8] [3,7) [3,7) [3,7) [3,7) [3,7) [145] [3,7) [3,7) [3,7) [3,7) [7,8] [3,7) [7,8] [3,7) [3,7) [3,7) [3,7) [3,7) [157] [3,7) [7,8] [7,8] [7,8] [7,8] [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [7,8] [169] [3,7) [3,7) [3,7) [3,7) [3,7) [7,8] [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [181] [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [7,8] [3,7) [3,7) [3,7) [193] [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [205] [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [7,8] [3,7) [3,7) [7,8] [3,7) [217] [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [7,8] [3,7) [3,7) [3,7) [3,7) [3,7) [229] [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [7,8] [3,7) [241] [3,7) [3,7) [7,8] [3,7) [3,7) [3,7) [7,8] [7,8] [7,8] [3,7) [3,7) [3,7) [253] [3,7) [3,7) [3,7) [7,8] [7,8] [7,8] [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [265] [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [3,7) [277] [3,7) [3,7) [3,7) [7,8] [7,8] [7,8] [3,7) [3,7) [3,7) [3,7) [3,7) [7,8] [289] [7,8] [7,8] [7,8] [3,7) [3,7) [7,8] [3,7) [3,7) [3,7) [7,8] Levels: [3,7) [7,8] > 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/124jj1323795700.tab") + } + } m.ct.i.pred m.ct.i.actu 1 2 1 2094 109 2 203 278 [1] 0.950522 [1] 0.5779626 [1] 0.8837556 m.ct.x.pred m.ct.x.actu 1 2 1 241 16 2 22 17 [1] 0.9377432 [1] 0.4358974 [1] 0.8716216 > m Conditional inference tree with 3 terminal nodes Response: as.factor(quality) Inputs: fixedAcidity, volatileAcidity, citricAcid, residualSugar, chlorides, freeSulfurDioxide, totSulfurDioxide, density, pH, sulphates, alcohol Number of observations: 298 1) alcohol <= 10.6; criterion = 1, statistic = 91.133 2)* weights = 221 1) alcohol > 10.6 3) fixedAcidity <= 7.2; criterion = 0.976, statistic = 9.366 4)* weights = 58 3) fixedAcidity > 7.2 5)* weights = 19 > postscript(file="/var/wessaorg/rcomp/tmp/2nl9j1323795700.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/32deg1323795700.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,] 1 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 2 [15,] 1 1 [16,] 2 2 [17,] 1 1 [18,] 2 2 [19,] 1 1 [20,] 1 1 [21,] 2 2 [22,] 2 2 [23,] 2 1 [24,] 1 1 [25,] 1 1 [26,] 1 1 [27,] 1 1 [28,] 1 1 [29,] 1 1 [30,] 2 2 [31,] 1 1 [32,] 1 1 [33,] 1 1 [34,] 1 1 [35,] 1 1 [36,] 1 1 [37,] 1 1 [38,] 1 2 [39,] 1 1 [40,] 1 1 [41,] 1 1 [42,] 1 1 [43,] 1 1 [44,] 1 1 [45,] 1 1 [46,] 2 1 [47,] 1 1 [48,] 1 1 [49,] 1 1 [50,] 1 1 [51,] 1 2 [52,] 2 2 [53,] 2 2 [54,] 1 2 [55,] 1 1 [56,] 1 2 [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,] 1 1 [67,] 2 2 [68,] 1 1 [69,] 2 2 [70,] 1 1 [71,] 1 1 [72,] 1 1 [73,] 1 1 [74,] 1 1 [75,] 2 2 [76,] 1 1 [77,] 2 2 [78,] 2 2 [79,] 1 1 [80,] 1 1 [81,] 1 1 [82,] 1 1 [83,] 1 1 [84,] 1 1 [85,] 1 1 [86,] 1 1 [87,] 1 1 [88,] 1 1 [89,] 1 1 [90,] 1 1 [91,] 1 1 [92,] 1 1 [93,] 2 2 [94,] 2 2 [95,] 2 1 [96,] 1 1 [97,] 1 1 [98,] 2 1 [99,] 1 1 [100,] 1 1 [101,] 1 1 [102,] 1 1 [103,] 1 1 [104,] 1 1 [105,] 1 1 [106,] 1 1 [107,] 1 1 [108,] 1 1 [109,] 1 1 [110,] 1 1 [111,] 1 1 [112,] 1 1 [113,] 1 1 [114,] 1 1 [115,] 1 1 [116,] 1 1 [117,] 1 2 [118,] 1 2 [119,] 1 1 [120,] 1 1 [121,] 1 1 [122,] 1 1 [123,] 1 1 [124,] 1 1 [125,] 1 1 [126,] 1 2 [127,] 1 1 [128,] 2 1 [129,] 2 2 [130,] 1 2 [131,] 1 1 [132,] 2 1 [133,] 1 1 [134,] 1 1 [135,] 1 1 [136,] 1 1 [137,] 1 1 [138,] 1 1 [139,] 2 2 [140,] 1 1 [141,] 1 1 [142,] 1 1 [143,] 1 1 [144,] 1 1 [145,] 1 1 [146,] 1 2 [147,] 1 1 [148,] 1 1 [149,] 2 2 [150,] 1 1 [151,] 2 1 [152,] 1 1 [153,] 1 1 [154,] 1 1 [155,] 1 1 [156,] 1 1 [157,] 1 1 [158,] 2 2 [159,] 2 2 [160,] 2 2 [161,] 2 2 [162,] 1 1 [163,] 1 1 [164,] 1 1 [165,] 1 1 [166,] 1 1 [167,] 1 1 [168,] 2 2 [169,] 1 1 [170,] 1 1 [171,] 1 2 [172,] 1 1 [173,] 1 1 [174,] 2 2 [175,] 1 1 [176,] 1 2 [177,] 1 2 [178,] 1 1 [179,] 1 1 [180,] 1 1 [181,] 1 1 [182,] 1 1 [183,] 1 1 [184,] 1 1 [185,] 1 1 [186,] 1 1 [187,] 1 1 [188,] 1 2 [189,] 2 2 [190,] 1 1 [191,] 1 1 [192,] 1 1 [193,] 1 2 [194,] 1 1 [195,] 1 1 [196,] 1 1 [197,] 1 1 [198,] 1 1 [199,] 1 1 [200,] 1 1 [201,] 1 1 [202,] 1 1 [203,] 1 1 [204,] 1 2 [205,] 1 1 [206,] 1 1 [207,] 1 1 [208,] 1 1 [209,] 1 1 [210,] 1 1 [211,] 1 1 [212,] 2 2 [213,] 1 1 [214,] 1 1 [215,] 2 2 [216,] 1 1 [217,] 1 1 [218,] 1 1 [219,] 1 1 [220,] 1 1 [221,] 1 1 [222,] 1 1 [223,] 2 2 [224,] 1 1 [225,] 1 1 [226,] 1 1 [227,] 1 1 [228,] 1 1 [229,] 1 1 [230,] 1 1 [231,] 1 1 [232,] 1 1 [233,] 1 1 [234,] 1 1 [235,] 1 1 [236,] 1 1 [237,] 1 1 [238,] 1 1 [239,] 2 2 [240,] 1 1 [241,] 1 1 [242,] 1 1 [243,] 2 2 [244,] 1 1 [245,] 1 1 [246,] 1 2 [247,] 2 2 [248,] 2 2 [249,] 2 2 [250,] 1 1 [251,] 1 1 [252,] 1 1 [253,] 1 1 [254,] 1 2 [255,] 1 1 [256,] 2 1 [257,] 2 2 [258,] 2 2 [259,] 1 2 [260,] 1 2 [261,] 1 1 [262,] 1 1 [263,] 1 1 [264,] 1 1 [265,] 1 1 [266,] 1 1 [267,] 1 1 [268,] 1 1 [269,] 1 1 [270,] 1 1 [271,] 1 1 [272,] 1 1 [273,] 1 1 [274,] 1 1 [275,] 1 1 [276,] 1 1 [277,] 1 1 [278,] 1 1 [279,] 1 1 [280,] 2 2 [281,] 2 2 [282,] 2 2 [283,] 1 1 [284,] 1 1 [285,] 1 1 [286,] 1 1 [287,] 1 1 [288,] 2 1 [289,] 2 1 [290,] 2 1 [291,] 2 1 [292,] 1 1 [293,] 1 1 [294,] 2 1 [295,] 1 1 [296,] 1 1 [297,] 1 1 [298,] 2 2 [3,7) [7,8] [3,7) 227 19 [7,8] 13 39 > postscript(file="/var/wessaorg/rcomp/tmp/4nhpf1323795700.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$Residuals)^2)),4)) + a<-table.row.end(a) + a<-table.end(a) + table.save(a,file="/var/wessaorg/rcomp/tmp/5hmxg1323795700.tab") + a<-table.start() + a<-table.row.start(a) + a<-table.element(a,'Actuals, Predictions, and Residuals',4,TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'#',header=TRUE) + a<-table.element(a,'Actuals',header=TRUE) + a<-table.element(a,'Forecasts',header=TRUE) + a<-table.element(a,'Residuals',header=TRUE) + a<-table.row.end(a) + for (i in 1:length(result$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/67fsi1323795700.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/724241323795700.tab") + } > > try(system("convert tmp/2nl9j1323795700.ps tmp/2nl9j1323795700.png",intern=TRUE)) character(0) > try(system("convert tmp/32deg1323795700.ps tmp/32deg1323795700.png",intern=TRUE)) character(0) > try(system("convert tmp/4nhpf1323795700.ps tmp/4nhpf1323795700.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 6.843 0.371 7.212