R version 2.15.2 (2012-10-26) -- "Trick or Treat" Copyright (C) 2012 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: i686-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. Type 'q()' to quit R. > x <- array(list(13 + ,13 + ,14 + ,13 + ,3 + ,4 + ,4 + ,12 + ,12 + ,8 + ,13 + ,5 + ,5 + ,5 + ,15 + ,10 + ,12 + ,16 + ,6 + ,1 + ,9 + ,12 + ,9 + ,7 + ,12 + ,6 + ,9 + ,11 + ,10 + ,10 + ,10 + ,11 + ,5 + ,19 + ,3 + ,12 + ,12 + ,7 + ,12 + ,3 + ,11 + ,4 + ,15 + ,13 + ,16 + ,18 + ,8 + ,3 + ,5 + ,9 + ,12 + ,11 + ,11 + ,4 + ,5 + ,7 + ,12 + ,12 + ,14 + ,14 + ,4 + ,8 + ,8 + ,11 + ,6 + ,6 + ,9 + ,4 + ,9 + ,9 + ,11 + ,5 + ,16 + ,14 + ,6 + ,11 + ,10 + ,11 + ,12 + ,11 + ,12 + ,6 + ,1 + ,5 + ,15 + ,11 + ,16 + ,11 + ,5 + ,4 + ,4 + ,7 + ,14 + ,12 + ,12 + ,4 + ,5 + ,3 + ,11 + ,14 + ,7 + ,13 + ,6 + ,6 + ,6 + ,11 + ,12 + ,13 + ,11 + ,4 + ,8 + ,7 + ,10 + ,12 + ,11 + ,12 + ,6 + ,9 + ,9 + ,14 + ,11 + ,15 + ,16 + ,6 + ,4 + ,18 + ,10 + ,11 + ,7 + ,9 + ,4 + ,5 + ,8 + ,6 + ,7 + ,9 + ,11 + ,4 + ,8 + ,3 + ,11 + ,9 + ,7 + ,13 + ,2 + ,13 + ,5 + ,15 + ,11 + ,14 + ,15 + ,7 + ,4 + ,8 + ,11 + ,11 + ,15 + ,10 + ,5 + ,15 + ,7 + ,12 + ,12 + ,7 + ,11 + ,4 + ,3 + ,9 + ,14 + ,12 + ,15 + ,13 + ,6 + ,6 + ,4 + ,15 + ,11 + ,17 + ,16 + ,6 + ,9 + ,6 + ,9 + ,11 + ,15 + ,15 + ,7 + ,19 + ,8 + ,13 + ,8 + ,14 + ,14 + ,5 + ,4 + ,7 + ,13 + ,9 + ,14 + ,14 + ,6 + ,15 + ,4 + ,16 + ,12 + ,8 + ,14 + ,4 + ,4 + ,6 + ,13 + ,10 + ,8 + ,8 + ,4 + ,7 + ,12 + ,12 + ,10 + ,14 + ,13 + ,7 + ,4 + ,3 + ,14 + ,12 + ,14 + ,15 + ,7 + ,9 + ,5 + ,11 + ,8 + ,8 + ,13 + ,4 + ,8 + ,7 + ,9 + ,12 + ,11 + ,11 + ,4 + ,3 + ,9 + ,16 + ,11 + ,16 + ,15 + ,6 + ,13 + ,8 + ,12 + ,12 + ,10 + ,15 + ,6 + ,5 + ,7 + ,10 + ,7 + ,8 + ,9 + ,5 + ,9 + ,4 + ,13 + ,11 + ,14 + ,13 + ,6 + ,11 + ,5 + ,16 + ,11 + ,16 + ,16 + ,7 + ,13 + ,12 + ,14 + ,12 + ,13 + ,13 + ,6 + ,5 + ,15 + ,15 + ,9 + ,5 + ,11 + ,3 + ,7 + ,3 + ,5 + ,15 + ,8 + ,12 + ,3 + ,6 + ,5 + ,8 + ,11 + ,10 + ,12 + ,4 + ,4 + ,13 + ,11 + ,11 + ,8 + ,12 + ,6 + ,17 + ,8 + ,16 + ,11 + ,13 + ,14 + ,7 + ,6 + ,9 + ,17 + ,11 + ,15 + ,14 + ,5 + ,1 + ,5 + ,9 + ,15 + ,6 + ,8 + ,4 + ,9 + ,13 + ,9 + ,11 + ,12 + ,13 + ,5 + ,19 + ,4 + ,13 + ,12 + ,16 + ,16 + ,6 + ,13 + ,5 + ,10 + ,12 + ,5 + ,13 + ,6 + ,18 + ,7 + ,6 + ,9 + ,15 + ,11 + ,6 + ,6 + ,8 + ,12 + ,12 + ,12 + ,14 + ,5 + ,5 + ,9 + ,8 + ,12 + ,8 + ,13 + ,4 + ,3 + ,11 + ,14 + ,13 + ,13 + ,13 + ,5 + ,7 + ,4 + ,12 + ,11 + ,14 + ,13 + ,5 + ,8 + ,6 + ,11 + ,9 + ,12 + ,12 + ,4 + ,9 + ,8 + ,16 + ,9 + ,16 + ,16 + ,6 + ,13 + ,10 + ,8 + ,11 + ,10 + ,15 + ,2 + ,12 + ,4 + ,15 + ,11 + ,15 + ,15 + ,8 + ,2 + ,4 + ,7 + ,12 + ,8 + ,12 + ,3 + ,4 + ,2 + ,16 + ,12 + ,16 + ,14 + ,6 + ,6 + ,12 + ,14 + ,9 + ,19 + ,12 + ,6 + ,8 + ,11 + ,16 + ,11 + ,14 + ,15 + ,6 + ,9 + ,4 + ,9 + ,9 + ,6 + ,12 + ,5 + ,10 + ,7 + ,14 + ,12 + ,13 + ,13 + ,5 + ,9 + ,7 + ,11 + ,12 + ,15 + ,12 + ,6 + ,3 + ,9 + ,13 + ,12 + ,7 + ,12 + ,5 + ,5 + ,19 + ,15 + ,12 + ,13 + ,13 + ,6 + ,6 + ,3 + ,5 + ,14 + ,4 + ,5 + ,2 + ,2 + ,5 + ,15 + ,11 + ,14 + ,13 + ,5 + ,3 + ,3 + ,13 + ,12 + ,13 + ,13 + ,5 + ,4 + ,11 + ,11 + ,11 + ,11 + ,14 + ,5 + ,2 + ,5 + ,11 + ,6 + ,14 + ,17 + ,6 + ,11 + ,6 + ,12 + ,10 + ,12 + ,13 + ,6 + ,8 + ,8 + ,12 + ,12 + ,15 + ,13 + ,6 + ,11 + ,9 + ,12 + ,13 + ,14 + ,12 + ,5 + ,17 + ,11 + ,12 + ,8 + ,13 + ,13 + ,5 + ,4 + ,7 + ,14 + ,12 + ,8 + ,14 + ,4 + ,5 + ,4 + ,6 + ,12 + ,6 + ,11 + ,2 + ,8 + ,5 + ,7 + ,12 + ,7 + ,12 + ,4 + ,9 + ,7 + ,14 + ,6 + ,13 + ,12 + ,6 + ,4 + ,11 + ,14 + ,11 + ,13 + ,16 + ,6 + ,6 + ,13 + ,10 + ,10 + ,11 + ,12 + ,5 + ,7 + ,3 + ,13 + ,12 + ,5 + ,12 + ,3 + ,9 + ,5 + ,12 + ,13 + ,12 + ,12 + ,6 + ,11 + ,7 + ,9 + ,11 + ,8 + ,10 + ,4 + ,12 + ,8 + ,12 + ,7 + ,11 + ,15 + ,5 + ,9 + ,11 + ,16 + ,11 + ,14 + ,15 + ,8 + ,4 + ,12 + ,10 + ,11 + ,9 + ,12 + ,4 + ,3 + ,8) + ,dim=c(7 + ,90) + ,dimnames=list(c('KansOverwinning' + ,'GeboekteOverwinning' + ,'Gevoel' + ,'EigenGevoel' + ,'Beste' + ,'2deBeste' + ,'3debeste') + ,1:90)) > y <- array(NA,dim=c(7,90),dimnames=list(c('KansOverwinning','GeboekteOverwinning','Gevoel','EigenGevoel','Beste','2deBeste','3debeste'),1:90)) > for (i in 1:dim(x)[1]) + { + for (j in 1:dim(x)[2]) + { + y[i,j] <- as.numeric(x[i,j]) + } + } > par20 = '' > par19 = '' > par18 = '' > par17 = '' > par16 = '' > par15 = '' > par14 = '' > par13 = '' > par12 = '' > par11 = '' > par10 = '' > par9 = '' > par8 = '' > par7 = '' > par6 = '' > par5 = '' > par4 = 'no' > par3 = '' > par2 = 'none' > 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 Attaching package: 'zoo' The following object(s) are masked from 'package:base': as.Date, 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) Hmisc library by Frank E Harrell Jr Type library(help='Hmisc'), ?Overview, or ?Hmisc.Overview') to see overall documentation. NOTE:Hmisc no longer redefines [.factor to drop unused levels when subsetting. To get the old behavior of Hmisc type dropUnusedLevels(). 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] "KansOverwinning" > x[,par1] [1] 13 12 15 12 10 12 15 9 12 11 11 11 15 7 11 11 10 14 10 6 11 15 11 12 14 [26] 15 9 13 13 16 13 12 14 11 9 16 12 10 13 16 14 15 5 8 11 16 17 9 9 13 [51] 10 6 12 8 14 12 11 16 8 15 7 16 14 16 9 14 11 13 15 5 15 13 11 11 12 [76] 12 12 12 14 6 7 14 14 10 13 12 9 12 16 10 > 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]) 5 6 7 8 9 10 11 12 13 14 15 16 17 2 3 3 3 7 7 13 15 9 10 9 8 1 > colnames(x) [1] "KansOverwinning" "GeboekteOverwinning" "Gevoel" [4] "EigenGevoel" "Beste" "X2deBeste" [7] "X3debeste" > colnames(x)[par1] [1] "KansOverwinning" > x[,par1] [1] 13 12 15 12 10 12 15 9 12 11 11 11 15 7 11 11 10 14 10 6 11 15 11 12 14 [26] 15 9 13 13 16 13 12 14 11 9 16 12 10 13 16 14 15 5 8 11 16 17 9 9 13 [51] 10 6 12 8 14 12 11 16 8 15 7 16 14 16 9 14 11 13 15 5 15 13 11 11 12 [76] 12 12 12 14 6 7 14 14 10 13 12 9 12 16 10 > if (par2 == 'none') { + m <- ctree(as.formula(paste(colnames(x)[par1],' ~ .',sep='')),data = x) + } > > #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/fisher/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/fisher/rcomp/tmp/1sqgy1355266002.tab") + } + } > m Conditional inference tree with 3 terminal nodes Response: KansOverwinning Inputs: GeboekteOverwinning, Gevoel, EigenGevoel, Beste, X2deBeste, X3debeste Number of observations: 90 1) EigenGevoel <= 12; criterion = 1, statistic = 25.49 2)* weights = 39 1) EigenGevoel > 12 3) Gevoel <= 12; criterion = 0.996, statistic = 11.675 4)* weights = 16 3) Gevoel > 12 5)* weights = 35 > postscript(file="/var/fisher/rcomp/tmp/2xoyt1355266002.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/fisher/rcomp/tmp/38ixl1355266002.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) + } Actuals Forecasts Residuals 1 13 13.88571 -0.8857143 2 12 11.50000 0.5000000 3 15 11.50000 3.5000000 4 12 10.15385 1.8461538 5 10 10.15385 -0.1538462 6 12 10.15385 1.8461538 7 15 13.88571 1.1142857 8 9 10.15385 -1.1538462 9 12 13.88571 -1.8857143 10 11 10.15385 0.8461538 11 11 13.88571 -2.8857143 12 11 10.15385 0.8461538 13 15 10.15385 4.8461538 14 7 10.15385 -3.1538462 15 11 11.50000 -0.5000000 16 11 10.15385 0.8461538 17 10 10.15385 -0.1538462 18 14 13.88571 0.1142857 19 10 10.15385 -0.1538462 20 6 10.15385 -4.1538462 21 11 11.50000 -0.5000000 22 15 13.88571 1.1142857 23 11 10.15385 0.8461538 24 12 10.15385 1.8461538 25 14 13.88571 0.1142857 26 15 13.88571 1.1142857 27 9 13.88571 -4.8857143 28 13 13.88571 -0.8857143 29 13 13.88571 -0.8857143 30 16 11.50000 4.5000000 31 13 10.15385 2.8461538 32 12 13.88571 -1.8857143 33 14 13.88571 0.1142857 34 11 11.50000 -0.5000000 35 9 10.15385 -1.1538462 36 16 13.88571 2.1142857 37 12 11.50000 0.5000000 38 10 10.15385 -0.1538462 39 13 13.88571 -0.8857143 40 16 13.88571 2.1142857 41 14 13.88571 0.1142857 42 15 10.15385 4.8461538 43 5 10.15385 -5.1538462 44 8 10.15385 -2.1538462 45 11 10.15385 0.8461538 46 16 13.88571 2.1142857 47 17 13.88571 3.1142857 48 9 10.15385 -1.1538462 49 9 11.50000 -2.5000000 50 13 13.88571 -0.8857143 51 10 11.50000 -1.5000000 52 6 10.15385 -4.1538462 53 12 11.50000 0.5000000 54 8 11.50000 -3.5000000 55 14 13.88571 0.1142857 56 12 13.88571 -1.8857143 57 11 10.15385 0.8461538 58 16 13.88571 2.1142857 59 8 11.50000 -3.5000000 60 15 13.88571 1.1142857 61 7 10.15385 -3.1538462 62 16 13.88571 2.1142857 63 14 10.15385 3.8461538 64 16 13.88571 2.1142857 65 9 10.15385 -1.1538462 66 14 13.88571 0.1142857 67 11 10.15385 0.8461538 68 13 10.15385 2.8461538 69 15 13.88571 1.1142857 70 5 10.15385 -5.1538462 71 15 13.88571 1.1142857 72 13 13.88571 -0.8857143 73 11 11.50000 -0.5000000 74 11 13.88571 -2.8857143 75 12 11.50000 0.5000000 76 12 13.88571 -1.8857143 77 12 10.15385 1.8461538 78 12 13.88571 -1.8857143 79 14 11.50000 2.5000000 80 6 10.15385 -4.1538462 81 7 10.15385 -3.1538462 82 14 10.15385 3.8461538 83 14 13.88571 0.1142857 84 10 10.15385 -0.1538462 85 13 10.15385 2.8461538 86 12 10.15385 1.8461538 87 9 10.15385 -1.1538462 88 12 11.50000 0.5000000 89 16 13.88571 2.1142857 90 10 10.15385 -0.1538462 > if (par2 != 'none') { + print(cbind(as.factor(x[,par1]),predict(m))) + myt <- table(as.factor(x[,par1]),predict(m)) + print(myt) + } > postscript(file="/var/fisher/rcomp/tmp/4cqty1355266002.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$Residuals)^2)),4)) + a<-table.row.end(a) + a<-table.end(a) + table.save(a,file="/var/fisher/rcomp/tmp/5qjro1355266002.tab") + a<-table.start() + a<-table.row.start(a) + a<-table.element(a,'Actuals, Predictions, and Residuals',4,TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'#',header=TRUE) + a<-table.element(a,'Actuals',header=TRUE) + a<-table.element(a,'Forecasts',header=TRUE) + a<-table.element(a,'Residuals',header=TRUE) + a<-table.row.end(a) + for (i in 1:length(result$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/fisher/rcomp/tmp/63m9n1355266002.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/fisher/rcomp/tmp/7wx6r1355266002.tab") + } > > try(system("convert tmp/2xoyt1355266002.ps tmp/2xoyt1355266002.png",intern=TRUE)) character(0) > try(system("convert tmp/38ixl1355266002.ps tmp/38ixl1355266002.png",intern=TRUE)) character(0) > try(system("convert tmp/4cqty1355266002.ps tmp/4cqty1355266002.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 3.848 0.573 4.409