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. Type 'q()' to quit R. > x <- array(list(895 + ,33 + ,5 + ,25 + ,34 + ,757 + ,56 + ,5 + ,25 + ,23 + ,595 + ,17 + ,5 + ,21 + ,17 + ,725 + ,28 + ,5 + ,21 + ,17 + ,458 + ,16 + ,5 + ,22 + ,15 + ,844 + ,29 + ,5 + ,22 + ,15 + ,408 + ,21 + ,7 + ,35 + ,15 + ,543 + ,19 + ,5 + ,25 + ,14 + ,579 + ,24 + ,5 + ,25 + ,13 + ,482 + ,14 + ,6 + ,29 + ,12 + ,459 + ,17 + ,5 + ,24 + ,11 + ,409 + ,19 + ,5 + ,24 + ,11 + ,366 + ,26 + ,5 + ,24 + ,11 + ,477 + ,14 + ,6 + ,23 + ,11 + ,389 + ,14 + ,5 + ,14 + ,10 + ,388 + ,12 + ,6 + ,19 + ,10 + ,284 + ,12 + ,3 + ,14 + ,10 + ,547 + ,22 + ,5 + ,10 + ,9 + ,311 + ,7 + ,5 + ,25 + ,9 + ,339 + ,12 + ,5 + ,17 + ,9 + ,393 + ,15 + ,7 + ,24 + ,9 + ,403 + ,20 + ,5 + ,25 + ,9 + ,460 + ,15 + ,5 + ,16 + ,9 + ,377 + ,18 + ,5 + ,21 + ,9 + ,314 + ,12 + ,5 + ,20 + ,9 + ,355 + ,34 + ,5 + ,13 + ,9 + ,269 + ,12 + ,5 + ,25 + ,9 + ,488 + ,14 + ,3 + ,9 + ,9 + ,258 + ,25 + ,5 + ,24 + ,9 + ,392 + ,16 + ,5 + ,24 + ,8 + ,384 + ,14 + ,4 + ,13 + ,8 + ,381 + ,15 + ,5 + ,23 + ,8 + ,478 + ,17 + ,6 + ,29 + ,8 + ,334 + ,13 + ,5 + ,15 + ,8 + ,309 + ,19 + ,5 + ,22 + ,8 + ,660 + ,18 + ,5 + ,23 + ,8 + ,249 + ,11 + ,5 + ,25 + ,8 + ,289 + ,8 + ,5 + ,17 + ,8 + ,321 + ,14 + ,6 + ,20 + ,8 + ,344 + ,22 + ,2 + ,9 + ,8 + ,441 + ,23 + ,6 + ,26 + ,8 + ,402 + ,22 + ,6 + ,20 + ,8 + ,388 + ,23 + ,5 + ,23 + ,8 + ,405 + ,11 + ,5 + ,25 + ,8 + ,355 + ,14 + ,5 + ,14 + ,8 + ,328 + ,16 + ,6 + ,25 + ,8 + ,376 + ,13 + ,5 + ,24 + ,8 + ,218 + ,20 + ,5 + ,25 + ,8 + ,429 + ,16 + ,5 + ,25 + ,8 + ,325 + ,14 + ,6 + ,25 + ,8 + ,324 + ,18 + ,4 + ,11 + ,7 + ,379 + ,14 + ,5 + ,25 + ,7 + ,290 + ,22 + ,5 + ,17 + ,7 + ,224 + ,12 + ,5 + ,25 + ,7 + ,314 + ,15 + ,5 + ,23 + ,7 + ,267 + ,13 + ,5 + ,25 + ,7 + ,204 + ,15 + ,0 + ,0 + ,7 + ,248 + ,18 + ,5 + ,7 + ,7 + ,254 + ,11 + ,5 + ,19 + ,7 + ,371 + ,13 + ,5 + ,25 + ,7 + ,469 + ,18 + ,4 + ,16 + ,7 + ,275 + ,15 + ,4 + ,10 + ,7 + ,284 + ,14 + ,5 + ,25 + ,7 + ,277 + ,19 + ,5 + ,21 + ,7 + ,445 + ,26 + ,5 + ,24 + ,7 + ,328 + ,27 + ,5 + ,24 + ,7 + ,319 + ,17 + ,4 + ,19 + ,7 + ,377 + ,14 + ,5 + ,25 + ,7 + ,209 + ,9 + ,4 + ,13 + ,7 + ,325 + ,20 + ,5 + ,20 + ,6 + ,351 + ,11 + ,1 + ,5 + ,6 + ,236 + ,4 + ,5 + ,25 + ,6 + ,239 + ,18 + ,6 + ,16 + ,6 + ,306 + ,19 + ,6 + ,17 + ,6 + ,235 + ,11 + ,5 + ,11 + ,6 + ,357 + ,18 + ,5 + ,12 + ,6 + ,194 + ,8 + ,6 + ,24 + ,6 + ,302 + ,21 + ,5 + ,15 + ,6 + ,224 + ,7 + ,5 + ,24 + ,6 + ,232 + ,4 + ,5 + ,17 + ,6 + ,247 + ,15 + ,5 + ,25 + ,6 + ,160 + ,5 + ,2 + ,10 + ,5 + ,285 + ,12 + ,5 + ,23 + ,5 + ,230 + ,18 + ,5 + ,10 + ,5 + ,219 + ,11 + ,5 + ,20 + ,5 + ,190 + ,7 + ,2 + ,10 + ,5 + ,275 + ,18 + ,5 + ,23 + ,5 + ,292 + ,16 + ,5 + ,19 + ,5 + ,315 + ,9 + ,5 + ,25 + ,5 + ,317 + ,15 + ,6 + ,28 + ,5 + ,196 + ,12 + ,2 + ,3 + ,5 + ,256 + ,11 + ,5 + ,23 + ,5 + ,248 + ,11 + ,5 + ,25 + ,5 + ,222 + ,14 + ,5 + ,13 + ,5 + ,333 + ,11 + ,0 + ,0 + ,5 + ,285 + ,10 + ,5 + ,14 + ,5 + ,330 + ,17 + ,5 + ,11 + ,5 + ,320 + ,14 + ,2 + ,7 + ,5 + ,302 + ,12 + ,5 + ,19 + ,5 + ,259 + ,19 + ,5 + ,10 + ,5 + ,322 + ,17 + ,6 + ,19 + ,5 + ,201 + ,13 + ,5 + ,14 + ,4 + ,169 + ,12 + ,0 + ,0 + ,4 + ,258 + ,14 + ,1 + ,3 + ,4 + ,281 + ,14 + ,6 + ,24 + ,4 + ,252 + ,9 + ,1 + ,4 + ,4 + ,234 + ,10 + ,5 + ,25 + ,4 + ,314 + ,16 + ,8 + ,19 + ,4 + ,319 + ,15 + ,1 + ,1 + ,4 + ,265 + ,12 + ,5 + ,4 + ,4 + ,241 + ,13 + ,4 + ,14 + ,4 + ,110 + ,9 + ,1 + ,4 + ,3 + ,102 + ,3 + ,0 + ,0 + ,3 + ,211 + ,19 + ,0 + ,0 + ,3 + ,177 + ,1 + ,2 + ,4 + ,3 + ,141 + ,10 + ,5 + ,25 + ,3 + ,156 + ,11 + ,5 + ,10 + ,3 + ,141 + ,9 + ,0 + ,0 + ,3 + ,88 + ,8 + ,4 + ,20 + ,3 + ,247 + ,0 + ,2 + ,5 + ,2 + ,128 + ,8 + ,2 + ,3 + ,2 + ,246 + ,1 + ,0 + ,0 + ,2 + ,186 + ,5 + ,5 + ,4 + ,2 + ,84 + ,5 + ,0 + ,0 + ,2 + ,0 + ,3 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,21 + ,1 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0) + ,dim=c(5 + ,130) + ,dimnames=list(c('P' + ,'B' + ,'PR' + ,'LFM' + ,'H') + ,1:130)) > y <- array(NA,dim=c(5,130),dimnames=list(c('P','B','PR','LFM','H'),1:130)) > 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 = '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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: > #Technical description: > library(party) Loading required package: survival Loading required package: splines Loading required package: grid Loading required package: modeltools Loading required package: stats4 Loading required package: coin Loading required package: mvtnorm Loading required package: zoo Loading required package: sandwich Loading required package: strucchange Loading required package: vcd Loading required package: MASS Loading required package: colorspace > library(Hmisc) Attaching package: 'Hmisc' The following object(s) are masked from 'package:survival': untangle.specials The following object(s) are masked from 'package:base': format.pval, round.POSIXt, trunc.POSIXt, units > par1 <- as.numeric(par1) > par3 <- as.numeric(par3) > x <- data.frame(t(y)) > is.data.frame(x) [1] TRUE > x <- x[!is.na(x[,par1]),] > k <- length(x[1,]) > n <- length(x[,1]) > colnames(x)[par1] [1] "LFM" > x[,par1] [1] 25 25 21 21 22 22 35 25 25 29 24 24 24 23 14 19 14 10 25 17 24 25 16 21 20 [26] 13 25 9 24 24 13 23 29 15 22 23 25 17 20 9 26 20 23 25 14 25 24 25 25 25 [51] 11 25 17 25 23 25 0 7 19 25 16 10 25 21 24 24 19 25 13 20 5 25 16 17 11 [76] 12 24 15 24 17 25 10 23 10 20 10 23 19 25 28 3 23 25 13 0 14 11 7 19 10 [101] 19 14 0 3 24 4 25 19 1 4 14 4 0 0 4 25 10 0 20 5 3 0 4 0 0 [126] 0 0 0 0 0 > if (par2 == 'kmeans') { + cl <- kmeans(x[,par1], par3) + print(cl) + clm <- matrix(cbind(cl$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]) [ 0,20) [20,35] 67 63 > colnames(x) [1] "P" "B" "PR" "LFM" "H" > colnames(x)[par1] [1] "LFM" > x[,par1] [1] [20,35] [20,35] [20,35] [20,35] [20,35] [20,35] [20,35] [20,35] [20,35] [10] [20,35] [20,35] [20,35] [20,35] [20,35] [ 0,20) [ 0,20) [ 0,20) [ 0,20) [19] [20,35] [ 0,20) [20,35] [20,35] [ 0,20) [20,35] [20,35] [ 0,20) [20,35] [28] [ 0,20) [20,35] [20,35] [ 0,20) [20,35] [20,35] [ 0,20) [20,35] [20,35] [37] [20,35] [ 0,20) [20,35] [ 0,20) [20,35] [20,35] [20,35] [20,35] [ 0,20) [46] [20,35] [20,35] [20,35] [20,35] [20,35] [ 0,20) [20,35] [ 0,20) [20,35] [55] [20,35] [20,35] [ 0,20) [ 0,20) [ 0,20) [20,35] [ 0,20) [ 0,20) [20,35] [64] [20,35] [20,35] [20,35] [ 0,20) [20,35] [ 0,20) [20,35] [ 0,20) [20,35] [73] [ 0,20) [ 0,20) [ 0,20) [ 0,20) [20,35] [ 0,20) [20,35] [ 0,20) [20,35] [82] [ 0,20) [20,35] [ 0,20) [20,35] [ 0,20) [20,35] [ 0,20) [20,35] [20,35] [91] [ 0,20) [20,35] [20,35] [ 0,20) [ 0,20) [ 0,20) [ 0,20) [ 0,20) [ 0,20) [100] [ 0,20) [ 0,20) [ 0,20) [ 0,20) [ 0,20) [20,35] [ 0,20) [20,35] [ 0,20) [109] [ 0,20) [ 0,20) [ 0,20) [ 0,20) [ 0,20) [ 0,20) [ 0,20) [20,35] [ 0,20) [118] [ 0,20) [20,35] [ 0,20) [ 0,20) [ 0,20) [ 0,20) [ 0,20) [ 0,20) [ 0,20) [127] [ 0,20) [ 0,20) [ 0,20) [ 0,20) Levels: [ 0,20) [20,35] > 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/1obui1319148222.tab") + } + } m.ct.i.pred m.ct.i.actu 1 2 1 439 162 2 108 452 [1] 0.7304493 [1] 0.8071429 [1] 0.7674419 m.ct.x.pred m.ct.x.actu 1 2 1 54 15 2 7 63 [1] 0.7826087 [1] 0.9 [1] 0.8417266 > m Conditional inference tree with 3 terminal nodes Response: as.factor(LFM) Inputs: P, B, PR, H Number of observations: 130 1) PR <= 4; criterion = 1, statistic = 35.299 2)* weights = 37 1) PR > 4 3) H <= 6; criterion = 0.983, statistic = 8.214 4)* weights = 34 3) H > 6 5)* weights = 59 > postscript(file="/var/wessaorg/rcomp/tmp/27cby1319148222.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/3kibg1319148222.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,] 2 2 [2,] 2 2 [3,] 2 2 [4,] 2 2 [5,] 2 2 [6,] 2 2 [7,] 2 2 [8,] 2 2 [9,] 2 2 [10,] 2 2 [11,] 2 2 [12,] 2 2 [13,] 2 2 [14,] 2 2 [15,] 1 2 [16,] 1 2 [17,] 1 1 [18,] 1 2 [19,] 2 2 [20,] 1 2 [21,] 2 2 [22,] 2 2 [23,] 1 2 [24,] 2 2 [25,] 2 2 [26,] 1 2 [27,] 2 2 [28,] 1 1 [29,] 2 2 [30,] 2 2 [31,] 1 1 [32,] 2 2 [33,] 2 2 [34,] 1 2 [35,] 2 2 [36,] 2 2 [37,] 2 2 [38,] 1 2 [39,] 2 2 [40,] 1 1 [41,] 2 2 [42,] 2 2 [43,] 2 2 [44,] 2 2 [45,] 1 2 [46,] 2 2 [47,] 2 2 [48,] 2 2 [49,] 2 2 [50,] 2 2 [51,] 1 1 [52,] 2 2 [53,] 1 2 [54,] 2 2 [55,] 2 2 [56,] 2 2 [57,] 1 1 [58,] 1 2 [59,] 1 2 [60,] 2 2 [61,] 1 1 [62,] 1 1 [63,] 2 2 [64,] 2 2 [65,] 2 2 [66,] 2 2 [67,] 1 1 [68,] 2 2 [69,] 1 1 [70,] 2 1 [71,] 1 1 [72,] 2 1 [73,] 1 1 [74,] 1 1 [75,] 1 1 [76,] 1 1 [77,] 2 1 [78,] 1 1 [79,] 2 1 [80,] 1 1 [81,] 2 1 [82,] 1 1 [83,] 2 1 [84,] 1 1 [85,] 2 1 [86,] 1 1 [87,] 2 1 [88,] 1 1 [89,] 2 1 [90,] 2 1 [91,] 1 1 [92,] 2 1 [93,] 2 1 [94,] 1 1 [95,] 1 1 [96,] 1 1 [97,] 1 1 [98,] 1 1 [99,] 1 1 [100,] 1 1 [101,] 1 1 [102,] 1 1 [103,] 1 1 [104,] 1 1 [105,] 2 1 [106,] 1 1 [107,] 2 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,] 2 1 [117,] 1 1 [118,] 1 1 [119,] 2 1 [120,] 1 1 [121,] 1 1 [122,] 1 1 [123,] 1 1 [124,] 1 1 [125,] 1 1 [126,] 1 1 [127,] 1 1 [128,] 1 1 [129,] 1 1 [130,] 1 1 [ 0,20) [20,35] [ 0,20) 55 12 [20,35] 16 47 > postscript(file="/var/wessaorg/rcomp/tmp/4tmh81319148222.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/5fhsc1319148222.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/66nz61319148222.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/7qa1e1319148222.tab") + } > > try(system("convert tmp/27cby1319148222.ps tmp/27cby1319148222.png",intern=TRUE)) character(0) > try(system("convert tmp/3kibg1319148222.ps tmp/3kibg1319148222.png",intern=TRUE)) character(0) > try(system("convert tmp/4tmh81319148222.ps tmp/4tmh81319148222.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 3.184 0.219 3.398