R version 2.9.0 (2009-04-17) Copyright (C) 2009 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. 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(1579 + ,0 + ,4.0 + ,45.7 + ,2146 + ,0 + ,5.9 + ,81.9 + ,2462 + ,0 + ,7.1 + ,56.8 + ,3695 + ,0 + ,10.5 + ,65.1 + ,4831 + ,0 + ,15.1 + ,86.2 + ,5134 + ,0 + ,16.8 + ,35.1 + ,6250 + ,0 + ,15.3 + ,133.8 + ,5760 + ,0 + ,18.4 + ,34.5 + ,6249 + ,0 + ,16.1 + ,69.9 + ,2917 + ,0 + ,11.3 + ,98.3 + ,1741 + ,0 + ,7.9 + ,86.7 + ,2359 + ,0 + ,5.6 + ,58.2 + ,1511 + ,1 + ,3.4 + ,83.6 + ,2059 + ,0 + ,4.8 + ,83.5 + ,2635 + ,0 + ,6.5 + ,112.3 + ,2867 + ,0 + ,8.5 + ,134.3 + ,4403 + ,0 + ,15.1 + ,30.0 + ,5720 + ,0 + ,15.7 + ,44.5 + ,4502 + ,0 + ,18.7 + ,120.1 + ,5749 + ,0 + ,19.2 + ,43.4 + ,5627 + ,0 + ,12.9 + ,199.4 + ,2846 + ,0 + ,14.4 + ,68.1 + ,1762 + ,0 + ,6.2 + ,99.8 + ,2429 + ,0 + ,3.3 + ,69.5 + ,1169 + ,0 + ,4.6 + ,71.3 + ,2154 + ,1 + ,7.2 + ,167.8 + ,2249 + ,0 + ,7.8 + ,66.3 + ,2687 + ,0 + ,9.9 + ,41.9 + ,4359 + ,0 + ,13.6 + ,57.2 + ,5382 + ,0 + ,17.1 + ,72.3 + ,4459 + ,0 + ,17.8 + ,96.5 + ,6398 + ,0 + ,18.6 + ,172.1 + ,4596 + ,0 + ,14.7 + ,25.8 + ,3024 + ,0 + ,10.5 + ,105.1 + ,1887 + ,0 + ,8.6 + ,92.2 + ,2070 + ,0 + ,4.4 + ,109.3 + ,1351 + ,0 + ,2.3 + ,101.7 + ,2218 + ,0 + ,2.8 + ,29.1 + ,2461 + ,1 + ,8.8 + ,34.6 + ,3028 + ,0 + ,10.7 + ,46.7 + ,4784 + ,0 + ,13.9 + ,82.0 + ,4975 + ,0 + ,19.3 + ,34.4 + ,4607 + ,0 + ,19.5 + ,72.7 + ,6249 + ,0 + ,20.4 + ,44.4 + ,4809 + ,0 + ,15.3 + ,31.0 + ,3157 + ,0 + ,7.9 + ,64.0 + ,1910 + ,0 + ,8.3 + ,65.4 + ,2228 + ,0 + ,4.5 + ,64.5 + ,1594 + ,0 + ,3.2 + ,153.8 + ,2467 + ,0 + ,5.0 + ,48.8 + ,2222 + ,0 + ,6.6 + ,25.0 + ,3607 + ,1 + ,11.1 + ,37.2 + ,4685 + ,0 + ,12.8 + ,40.8 + ,4962 + ,0 + ,16.3 + ,78.4 + ,5770 + ,0 + ,17.4 + ,112.4 + ,5480 + ,0 + ,18.9 + ,122.7 + ,5000 + ,0 + ,15.8 + ,82.9 + ,3228 + ,0 + ,11.7 + ,67.6 + ,1993 + ,0 + ,6.4 + ,78.4 + ,2288 + ,0 + ,2.9 + ,65.7 + ,1580 + ,0 + ,4.7 + ,44.9 + ,2111 + ,0 + ,2.4 + ,80.9 + ,2192 + ,0 + ,7.2 + ,38.8 + ,3601 + ,0 + ,10.7 + ,46.1 + ,4665 + ,1 + ,13.4 + ,60.0 + ,4876 + ,0 + ,18.5 + ,53.9 + ,5813 + ,0 + ,18.3 + ,123.5 + ,5589 + ,0 + ,16.8 + ,69.5 + ,5331 + ,0 + ,16.6 + ,74.2 + ,3075 + ,0 + ,14.1 + ,47.0 + ,2002 + ,0 + ,6.1 + ,60.9 + ,2306 + ,0 + ,3.5 + ,51.4 + ,1507 + ,0 + ,1.7 + ,18.7 + ,1992 + ,0 + ,2.3 + ,88.1 + ,2487 + ,0 + ,4.5 + ,65.3 + ,3490 + ,0 + ,9.3 + ,46.0 + ,4647 + ,0 + ,14.2 + ,115.6 + ,5594 + ,1 + ,17.3 + ,25.8 + ,5611 + ,0 + ,23.0 + ,48.1 + ,5788 + ,0 + ,16.3 + ,202.3 + ,6204 + ,0 + ,18.4 + ,9.2 + ,3013 + ,0 + ,14.2 + ,56.3 + ,1931 + ,0 + ,9.1 + ,71.6 + ,2549 + ,0 + ,5.9 + ,93.0 + ,1504 + ,0 + ,7.2 + ,82.3 + ,2090 + ,0 + ,6.8 + ,95.4 + ,2702 + ,0 + ,8.0 + ,61.9 + ,2939 + ,0 + ,14.3 + ,0.0 + ,4500 + ,0 + ,14.6 + ,103.4 + ,6208 + ,0 + ,17.5 + ,99.2 + ,6415 + ,1 + ,17.2 + ,96.7 + ,5657 + ,0 + ,17.2 + ,56.9 + ,5964 + ,0 + ,14.1 + ,57.6 + ,3163 + ,0 + ,10.5 + ,65.2 + ,1997 + ,0 + ,6.8 + ,71.7 + ,2422 + ,0 + ,4.1 + ,89.2 + ,1376 + ,0 + ,6.5 + ,70.7 + ,2202 + ,0 + ,6.1 + ,35.4 + ,2683 + ,0 + ,6.3 + ,140.5 + ,3303 + ,0 + ,9.3 + ,45.4 + ,5202 + ,0 + ,16.4 + ,53.9 + ,5231 + ,0 + ,16.1 + ,69.9 + ,4880 + ,0 + ,18.0 + ,101.9 + ,7998 + ,1 + ,17.6 + ,89.3 + ,4977 + ,0 + ,14.0 + ,70.7 + ,3531 + ,0 + ,10.5 + ,72.4 + ,2025 + ,0 + ,6.9 + ,67.6 + ,2205 + ,0 + ,2.8 + ,43.3 + ,1442 + ,0 + ,0.7 + ,62.9 + ,2238 + ,0 + ,3.6 + ,57.1 + ,2179 + ,0 + ,6.7 + ,68.2 + ,3218 + ,0 + ,12.5 + ,47.1 + ,5139 + ,0 + ,14.4 + ,43.1 + ,4990 + ,0 + ,16.5 + ,64.5 + ,4914 + ,0 + ,18.7 + ,73.1 + ,6084 + ,0 + ,19.4 + ,37.7 + ,5672 + ,1 + ,15.8 + ,29.1 + ,3548 + ,0 + ,11.3 + ,105.0 + ,1793 + ,0 + ,9.7 + ,98.0 + ,2086 + ,0 + ,2.9 + ,80.8) + ,dim=c(4 + ,120) + ,dimnames=list(c('Huwelijken' + ,'Specialedag' + ,'Temperatuur' + ,'Neerslag ') + ,1:120)) > y <- array(NA,dim=c(4,120),dimnames=list(c('Huwelijken','Specialedag','Temperatuur','Neerslag '),1:120)) > 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 = '3' > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: > #Technical description: > library(party) Loading required package: survival Loading required package: splines Loading required package: grid Loading required package: modeltools Loading required package: stats4 Loading required package: coin Loading required package: mvtnorm Loading required package: zoo Attaching package: 'zoo' The following object(s) are masked from package:base : as.Date.numeric Loading required package: sandwich Loading required package: strucchange Loading required package: vcd Loading required package: MASS Loading required package: colorspace > library(Hmisc) Attaching package: 'Hmisc' The following object(s) are masked from package:survival : untangle.specials The following object(s) are masked from package:base : format.pval, round.POSIXt, trunc.POSIXt, units > par1 <- as.numeric(par1) > par3 <- as.numeric(par3) > x <- data.frame(t(y)) > is.data.frame(x) [1] TRUE > x <- x[!is.na(x[,par1]),] > k <- length(x[1,]) > n <- length(x[,1]) > colnames(x)[par1] [1] "Huwelijken" > x[,par1] [1] 1579 2146 2462 3695 4831 5134 6250 5760 6249 2917 1741 2359 1511 2059 2635 [16] 2867 4403 5720 4502 5749 5627 2846 1762 2429 1169 2154 2249 2687 4359 5382 [31] 4459 6398 4596 3024 1887 2070 1351 2218 2461 3028 4784 4975 4607 6249 4809 [46] 3157 1910 2228 1594 2467 2222 3607 4685 4962 5770 5480 5000 3228 1993 2288 [61] 1580 2111 2192 3601 4665 4876 5813 5589 5331 3075 2002 2306 1507 1992 2487 [76] 3490 4647 5594 5611 5788 6204 3013 1931 2549 1504 2090 2702 2939 4500 6208 [91] 6415 5657 5964 3163 1997 2422 1376 2202 2683 3303 5202 5231 4880 7998 4977 [106] 3531 2025 2205 1442 2238 2179 3218 5139 4990 4914 6084 5672 3548 1793 2086 > if (par2 == 'kmeans') { + cl <- kmeans(x[,par1], par3) + print(cl) + clm <- matrix(cbind(cl$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]) [1169,2422) [2422,4784) [4784,7998] 40 40 40 > colnames(x) [1] "Huwelijken" "Specialedag" "Temperatuur" "Neerslag." > colnames(x)[par1] [1] "Huwelijken" > x[,par1] [1] [1169,2422) [1169,2422) [2422,4784) [2422,4784) [4784,7998] [4784,7998] [7] [4784,7998] [4784,7998] [4784,7998] [2422,4784) [1169,2422) [1169,2422) [13] [1169,2422) [1169,2422) [2422,4784) [2422,4784) [2422,4784) [4784,7998] [19] [2422,4784) [4784,7998] [4784,7998] [2422,4784) [1169,2422) [2422,4784) [25] [1169,2422) [1169,2422) [1169,2422) [2422,4784) [2422,4784) [4784,7998] [31] [2422,4784) [4784,7998] [2422,4784) [2422,4784) [1169,2422) [1169,2422) [37] [1169,2422) [1169,2422) [2422,4784) [2422,4784) [4784,7998] [4784,7998] [43] [2422,4784) [4784,7998] [4784,7998] [2422,4784) [1169,2422) [1169,2422) [49] [1169,2422) [2422,4784) [1169,2422) [2422,4784) [2422,4784) [4784,7998] [55] [4784,7998] [4784,7998] [4784,7998] [2422,4784) [1169,2422) [1169,2422) [61] [1169,2422) [1169,2422) [1169,2422) [2422,4784) [2422,4784) [4784,7998] [67] [4784,7998] [4784,7998] [4784,7998] [2422,4784) [1169,2422) [1169,2422) [73] [1169,2422) [1169,2422) [2422,4784) [2422,4784) [2422,4784) [4784,7998] [79] [4784,7998] [4784,7998] [4784,7998] [2422,4784) [1169,2422) [2422,4784) [85] [1169,2422) [1169,2422) [2422,4784) [2422,4784) [2422,4784) [4784,7998] [91] [4784,7998] [4784,7998] [4784,7998] [2422,4784) [1169,2422) [2422,4784) [97] [1169,2422) [1169,2422) [2422,4784) [2422,4784) [4784,7998] [4784,7998] [103] [4784,7998] [4784,7998] [4784,7998] [2422,4784) [1169,2422) [1169,2422) [109] [1169,2422) [1169,2422) [1169,2422) [2422,4784) [4784,7998] [4784,7998] [115] [4784,7998] [4784,7998] [4784,7998] [2422,4784) [1169,2422) [1169,2422) Levels: [1169,2422) [2422,4784) [4784,7998] > 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/1ndts1292287800.tab") + } + } > m Conditional inference tree with 3 terminal nodes Response: as.factor(Huwelijken) Inputs: Specialedag, Temperatuur, Neerslag. Number of observations: 120 1) Temperatuur <= 14.7; criterion = 1, statistic = 88.608 2) Temperatuur <= 9.1; criterion = 1, statistic = 41.978 3)* weights = 51 2) Temperatuur > 9.1 4)* weights = 30 1) Temperatuur > 14.7 5)* weights = 39 > postscript(file="/var/www/html/rcomp/tmp/2ndts1292287800.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/3ndts1292287800.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,] 2 1 [4,] 2 2 [5,] 3 3 [6,] 3 3 [7,] 3 3 [8,] 3 3 [9,] 3 3 [10,] 2 2 [11,] 1 1 [12,] 1 1 [13,] 1 1 [14,] 1 1 [15,] 2 1 [16,] 2 1 [17,] 2 3 [18,] 3 3 [19,] 2 3 [20,] 3 3 [21,] 3 2 [22,] 2 2 [23,] 1 1 [24,] 2 1 [25,] 1 1 [26,] 1 1 [27,] 1 1 [28,] 2 2 [29,] 2 2 [30,] 3 3 [31,] 2 3 [32,] 3 3 [33,] 2 2 [34,] 2 2 [35,] 1 1 [36,] 1 1 [37,] 1 1 [38,] 1 1 [39,] 2 1 [40,] 2 2 [41,] 3 2 [42,] 3 3 [43,] 2 3 [44,] 3 3 [45,] 3 3 [46,] 2 1 [47,] 1 1 [48,] 1 1 [49,] 1 1 [50,] 2 1 [51,] 1 1 [52,] 2 2 [53,] 2 2 [54,] 3 3 [55,] 3 3 [56,] 3 3 [57,] 3 3 [58,] 2 2 [59,] 1 1 [60,] 1 1 [61,] 1 1 [62,] 1 1 [63,] 1 1 [64,] 2 2 [65,] 2 2 [66,] 3 3 [67,] 3 3 [68,] 3 3 [69,] 3 3 [70,] 2 2 [71,] 1 1 [72,] 1 1 [73,] 1 1 [74,] 1 1 [75,] 2 1 [76,] 2 2 [77,] 2 2 [78,] 3 3 [79,] 3 3 [80,] 3 3 [81,] 3 3 [82,] 2 2 [83,] 1 1 [84,] 2 1 [85,] 1 1 [86,] 1 1 [87,] 2 1 [88,] 2 2 [89,] 2 2 [90,] 3 3 [91,] 3 3 [92,] 3 3 [93,] 3 2 [94,] 2 2 [95,] 1 1 [96,] 2 1 [97,] 1 1 [98,] 1 1 [99,] 2 1 [100,] 2 2 [101,] 3 3 [102,] 3 3 [103,] 3 3 [104,] 3 3 [105,] 3 2 [106,] 2 2 [107,] 1 1 [108,] 1 1 [109,] 1 1 [110,] 1 1 [111,] 1 1 [112,] 2 2 [113,] 3 2 [114,] 3 3 [115,] 3 3 [116,] 3 3 [117,] 3 3 [118,] 2 2 [119,] 1 2 [120,] 1 1 [1169,2422) [2422,4784) [4784,7998] [1169,2422) 39 1 0 [2422,4784) 12 24 4 [4784,7998] 0 5 35 > postscript(file="/var/www/html/rcomp/tmp/4qdsg1292287800.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/5ue8l1292287800.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/6xw791292287800.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/70y971292287801.tab") + } > > try(system("convert tmp/2ndts1292287800.ps tmp/2ndts1292287800.png",intern=TRUE)) character(0) > try(system("convert tmp/3ndts1292287800.ps tmp/3ndts1292287800.png",intern=TRUE)) character(0) > try(system("convert tmp/4qdsg1292287800.ps tmp/4qdsg1292287800.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.124 0.505 4.574