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(2 + ,210907 + ,79 + ,94 + ,112285 + ,146283 + ,30 + ,-1 + ,4 + ,179321 + ,108 + ,103 + ,101193 + ,96933 + ,30 + ,3 + ,0 + ,149061 + ,43 + ,93 + ,116174 + ,95757 + ,26 + ,0 + ,0 + ,237213 + ,78 + ,123 + ,66198 + ,143983 + ,38 + ,3 + ,-4 + ,173326 + ,86 + ,148 + ,71701 + ,75851 + ,44 + ,4 + ,4 + ,133131 + ,44 + ,90 + ,57793 + ,59238 + ,30 + ,0 + ,4 + ,258873 + ,104 + ,124 + ,80444 + ,93163 + ,40 + ,0 + ,0 + ,324799 + ,158 + ,168 + ,97668 + ,151511 + ,47 + ,7 + ,-1 + ,230964 + ,102 + ,115 + ,133824 + ,136368 + ,30 + ,1 + ,0 + ,236785 + ,77 + ,71 + ,101481 + ,112642 + ,31 + ,0 + ,1 + ,344297 + ,80 + ,108 + ,67654 + ,127766 + ,30 + ,1 + ,0 + ,174724 + ,123 + ,120 + ,69112 + ,85646 + ,34 + ,4 + ,3 + ,174415 + ,73 + ,114 + ,82753 + ,98579 + ,31 + ,1 + ,-1 + ,223632 + ,105 + ,120 + ,72654 + ,131741 + ,33 + ,5 + ,4 + ,294424 + ,107 + ,124 + ,101494 + ,171975 + ,33 + ,13 + ,3 + ,325107 + ,84 + ,126 + ,79215 + ,159676 + ,36 + ,4 + ,1 + ,106408 + ,33 + ,37 + ,31081 + ,58391 + ,14 + ,0 + ,0 + ,96560 + ,42 + ,38 + ,22996 + ,31580 + ,17 + ,0 + ,-2 + ,265769 + ,96 + ,120 + ,83122 + ,136815 + ,32 + ,6 + ,-3 + ,269651 + ,106 + ,93 + ,70106 + ,120642 + ,30 + ,0 + ,-4 + ,149112 + ,56 + ,95 + ,60578 + ,69107 + ,35 + ,1 + ,2 + ,152871 + ,59 + ,90 + ,79892 + ,108016 + ,28 + ,3 + ,2 + ,362301 + ,76 + ,110 + ,100708 + ,79336 + ,34 + ,1 + ,-4 + ,183167 + ,91 + ,138 + ,82875 + ,93176 + ,39 + ,0 + ,3 + ,277965 + ,115 + ,133 + ,139077 + ,161632 + ,39 + ,2 + ,2 + ,218946 + ,76 + ,96 + ,80670 + ,102996 + ,29 + ,3 + ,2 + ,244052 + ,101 + ,164 + ,143558 + ,160604 + ,44 + ,4 + ,0 + ,341570 + ,94 + ,78 + ,117105 + ,158051 + ,21 + ,12 + ,5 + ,233328 + ,92 + ,102 + ,120733 + ,162647 + ,28 + ,0 + ,-2 + ,206161 + ,75 + ,99 + ,73107 + ,60622 + ,28 + ,3 + ,0 + ,311473 + ,128 + ,129 + ,132068 + ,179566 + ,38 + ,0 + ,-2 + ,207176 + ,56 + ,114 + ,87011 + ,96144 + ,32 + ,4 + ,-3 + ,196553 + ,41 + ,99 + ,95260 + ,129847 + ,29 + ,-1 + ,2 + ,143246 + ,67 + ,104 + ,106671 + ,71180 + ,27 + ,2 + ,2 + ,182192 + ,77 + ,138 + ,70054 + ,86767 + ,40 + ,1 + ,2 + ,194979 + ,66 + ,151 + ,74011 + ,93487 + ,40 + ,1 + ,0 + ,167488 + ,69 + ,72 + ,83737 + ,82981 + ,28 + ,0 + ,4 + ,143756 + ,105 + ,120 + ,69094 + ,73815 + ,34 + ,2 + ,4 + ,275541 + ,116 + ,115 + ,93133 + ,94552 + ,33 + ,0 + ,2 + ,152299 + ,62 + ,98 + ,61370 + ,67808 + ,33 + ,2 + ,2 + ,193339 + ,100 + ,71 + ,84651 + ,106175 + ,35 + ,4 + ,-4 + ,130585 + ,67 + ,107 + ,95364 + ,76669 + ,29 + ,0 + ,3 + ,112611 + ,46 + ,73 + ,26706 + ,57283 + ,20 + ,0 + ,3 + ,148446 + ,135 + ,129 + ,126846 + ,72413 + ,37 + ,6 + ,2 + ,182079 + ,124 + ,118 + ,102860 + ,96971 + ,33 + ,13 + ,-1 + ,243060 + ,58 + ,104 + ,111813 + ,120336 + ,29 + ,4 + ,-3 + ,162765 + ,68 + ,107 + ,120293 + ,93913 + ,28 + ,-1 + ,0 + ,85574 + ,37 + ,36 + ,24266 + ,32036 + ,21 + ,3 + ,1 + ,225060 + ,93 + ,139 + ,109825 + ,102255 + ,41 + ,0 + ,-3 + ,133328 + ,56 + ,56 + ,40909 + ,63506 + ,20 + ,2 + ,3 + ,100750 + ,83 + ,93 + ,140867 + ,68370 + ,30 + ,0 + ,0 + ,101523 + ,59 + ,87 + ,61056 + ,50517 + ,22 + ,1 + ,0 + ,243511 + ,133 + ,110 + ,101338 + ,103950 + ,42 + ,1 + ,0 + ,152474 + ,106 + ,83 + ,65567 + ,84396 + ,32 + ,0 + ,3 + ,132487 + ,71 + ,98 + ,40735 + ,55515 + ,36 + ,31 + ,-3 + ,317394 + ,116 + ,82 + ,91413 + ,209056 + ,31 + ,2 + ,0 + ,244749 + ,98 + ,115 + ,76643 + ,142775 + ,33 + ,5 + ,-4 + ,184510 + ,64 + ,140 + ,110681 + ,68847 + ,40 + ,1 + ,2 + ,128423 + ,32 + ,120 + ,92696 + ,20112 + ,38 + ,1 + ,-1 + ,97839 + ,25 + ,66 + ,94785 + ,61023 + ,24 + ,2 + ,3 + ,172494 + ,46 + ,139 + ,86687 + ,112494 + ,43 + ,13 + ,2 + ,229242 + ,63 + ,119 + ,91721 + ,78876 + ,31 + ,5 + ,5 + ,351619 + ,95 + ,141 + ,115168 + ,170745 + ,40 + ,3 + ,2 + ,324598 + ,113 + ,133 + ,135777 + ,122037 + ,37 + ,1 + ,-2 + ,195838 + ,111 + ,98 + ,102372 + ,112283 + ,31 + ,1 + ,0 + ,254488 + ,120 + ,117 + ,103772 + ,120691 + ,39 + ,4 + ,3 + ,199476 + ,87 + ,105 + ,135400 + ,122422 + ,32 + ,2 + ,-2 + ,92499 + ,25 + ,55 + ,21399 + ,25899 + ,18 + ,0 + ,0 + ,224330 + ,131 + ,132 + ,130115 + ,139296 + ,39 + ,4 + ,6 + ,181633 + ,47 + ,73 + ,64466 + ,89455 + ,30 + ,0 + ,-3 + ,271856 + ,109 + ,86 + ,54990 + ,147866 + ,37 + ,0 + ,3 + ,95227 + ,37 + ,48 + ,34777 + ,14336 + ,32 + ,0 + ,0 + ,98146 + ,15 + ,48 + ,27114 + ,30059 + ,17 + ,7 + ,-2 + ,118612 + ,54 + ,43 + ,30080 + ,41907 + ,12 + ,3 + ,1 + ,65475 + ,16 + ,46 + ,69008 + ,35885 + ,13 + ,4 + ,0 + ,108446 + ,22 + ,65 + ,46300 + ,55764 + ,17 + ,1 + ,2 + ,121848 + ,37 + ,52 + ,30594 + ,35619 + ,17 + ,0 + ,2 + ,76302 + ,29 + ,68 + ,30976 + ,40557 + ,20 + ,2 + ,-3 + ,98104 + ,55 + ,47 + ,25568 + ,44197 + ,17 + ,0 + ,-2 + ,30989 + ,5 + ,41 + ,4154 + ,4103 + ,17 + ,0 + ,1 + ,31774 + ,0 + ,47 + ,4143 + ,4694 + ,17 + ,0 + ,-4 + ,150580 + ,27 + ,71 + ,45588 + ,62991 + ,22 + ,2 + ,0 + ,54157 + ,37 + ,30 + ,18625 + ,24261 + ,15 + ,1 + ,1 + ,59382 + ,29 + ,24 + ,26263 + ,21425 + ,12 + ,0 + ,0 + ,84105 + ,17 + ,63 + ,20055 + ,27184 + ,17 + ,0) + ,dim=c(8 + ,85) + ,dimnames=list(c('estscore' + ,'time_in_rfc' + ,'blogged_computations' + ,'feedback_messages_p120' + ,'totsize' + ,'totseconds' + ,'compendiums_reviewed' + ,'difference_hyperlinks-blogs') + ,1:85)) > y <- array(NA,dim=c(8,85),dimnames=list(c('estscore','time_in_rfc','blogged_computations','feedback_messages_p120','totsize','totseconds','compendiums_reviewed','difference_hyperlinks-blogs'),1:85)) > 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 = '2' > par2 = 'quantiles' > par1 = '2' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: > #Technical description: > library(party) Loading required package: survival Loading required package: splines Loading required package: grid Loading required package: modeltools Loading required package: stats4 Loading required package: coin Loading required package: mvtnorm Loading required package: zoo Loading required package: sandwich Loading required package: strucchange Loading required package: vcd Loading required package: MASS Loading required package: colorspace > library(Hmisc) Attaching package: 'Hmisc' The following object(s) are masked from 'package:survival': untangle.specials The following object(s) are masked from 'package:base': format.pval, round.POSIXt, trunc.POSIXt, units > par1 <- as.numeric(par1) > par3 <- as.numeric(par3) > x <- data.frame(t(y)) > is.data.frame(x) [1] TRUE > x <- x[!is.na(x[,par1]),] > k <- length(x[1,]) > n <- length(x[,1]) > colnames(x)[par1] [1] "time_in_rfc" > x[,par1] [1] 210907 179321 149061 237213 173326 133131 258873 324799 230964 236785 [11] 344297 174724 174415 223632 294424 325107 106408 96560 265769 269651 [21] 149112 152871 362301 183167 277965 218946 244052 341570 233328 206161 [31] 311473 207176 196553 143246 182192 194979 167488 143756 275541 152299 [41] 193339 130585 112611 148446 182079 243060 162765 85574 225060 133328 [51] 100750 101523 243511 152474 132487 317394 244749 184510 128423 97839 [61] 172494 229242 351619 324598 195838 254488 199476 92499 224330 181633 [71] 271856 95227 98146 118612 65475 108446 121848 76302 98104 30989 [81] 31774 150580 54157 59382 84105 > if (par2 == 'kmeans') { + cl <- kmeans(x[,par1], par3) + print(cl) + clm <- matrix(cbind(cl$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]) [ 30989,182079) [182079,362301] 43 42 > colnames(x) [1] "estscore" "time_in_rfc" [3] "blogged_computations" "feedback_messages_p120" [5] "totsize" "totseconds" [7] "compendiums_reviewed" "difference_hyperlinks.blogs" > colnames(x)[par1] [1] "time_in_rfc" > x[,par1] [1] [182079,362301] [ 30989,182079) [ 30989,182079) [182079,362301] [5] [ 30989,182079) [ 30989,182079) [182079,362301] [182079,362301] [9] [182079,362301] [182079,362301] [182079,362301] [ 30989,182079) [13] [ 30989,182079) [182079,362301] [182079,362301] [182079,362301] [17] [ 30989,182079) [ 30989,182079) [182079,362301] [182079,362301] [21] [ 30989,182079) [ 30989,182079) [182079,362301] [182079,362301] [25] [182079,362301] [182079,362301] [182079,362301] [182079,362301] [29] [182079,362301] [182079,362301] [182079,362301] [182079,362301] [33] [182079,362301] [ 30989,182079) [182079,362301] [182079,362301] [37] [ 30989,182079) [ 30989,182079) [182079,362301] [ 30989,182079) [41] [182079,362301] [ 30989,182079) [ 30989,182079) [ 30989,182079) [45] [182079,362301] [182079,362301] [ 30989,182079) [ 30989,182079) [49] [182079,362301] [ 30989,182079) [ 30989,182079) [ 30989,182079) [53] [182079,362301] [ 30989,182079) [ 30989,182079) [182079,362301] [57] [182079,362301] [182079,362301] [ 30989,182079) [ 30989,182079) [61] [ 30989,182079) [182079,362301] [182079,362301] [182079,362301] [65] [182079,362301] [182079,362301] [182079,362301] [ 30989,182079) [69] [182079,362301] [ 30989,182079) [182079,362301] [ 30989,182079) [73] [ 30989,182079) [ 30989,182079) [ 30989,182079) [ 30989,182079) [77] [ 30989,182079) [ 30989,182079) [ 30989,182079) [ 30989,182079) [81] [ 30989,182079) [ 30989,182079) [ 30989,182079) [ 30989,182079) [85] [ 30989,182079) Levels: [ 30989,182079) [182079,362301] > 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/1rsiu1324335254.tab") + } + } > m Conditional inference tree with 3 terminal nodes Response: as.factor(time_in_rfc) Inputs: estscore, blogged_computations, feedback_messages_p120, totsize, totseconds, compendiums_reviewed, difference_hyperlinks.blogs Number of observations: 85 1) totseconds <= 85646; criterion = 1, statistic = 46.51 2)* weights = 40 1) totseconds > 85646 3) blogged_computations <= 73; criterion = 0.99, statistic = 10.141 4)* weights = 10 3) blogged_computations > 73 5)* weights = 35 > postscript(file="/var/wessaorg/rcomp/tmp/2hvgs1324335254.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/39nzh1324335254.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,] 1 2 [3,] 1 1 [4,] 2 2 [5,] 1 1 [6,] 1 1 [7,] 2 2 [8,] 2 2 [9,] 2 2 [10,] 2 2 [11,] 2 2 [12,] 1 1 [13,] 1 1 [14,] 2 2 [15,] 2 2 [16,] 2 2 [17,] 1 1 [18,] 1 1 [19,] 2 2 [20,] 2 2 [21,] 1 1 [22,] 1 1 [23,] 2 1 [24,] 2 2 [25,] 2 2 [26,] 2 2 [27,] 2 2 [28,] 2 2 [29,] 2 2 [30,] 2 1 [31,] 2 2 [32,] 2 1 [33,] 2 1 [34,] 1 1 [35,] 2 2 [36,] 2 1 [37,] 1 1 [38,] 1 1 [39,] 2 2 [40,] 1 1 [41,] 2 2 [42,] 1 1 [43,] 1 1 [44,] 1 1 [45,] 2 2 [46,] 2 1 [47,] 1 1 [48,] 1 1 [49,] 2 2 [50,] 1 1 [51,] 1 1 [52,] 1 1 [53,] 2 2 [54,] 1 1 [55,] 1 1 [56,] 2 2 [57,] 2 2 [58,] 2 1 [59,] 1 1 [60,] 1 1 [61,] 1 1 [62,] 2 1 [63,] 2 2 [64,] 2 2 [65,] 2 2 [66,] 2 2 [67,] 2 2 [68,] 1 1 [69,] 2 2 [70,] 1 1 [71,] 2 2 [72,] 1 1 [73,] 1 1 [74,] 1 1 [75,] 1 1 [76,] 1 1 [77,] 1 1 [78,] 1 1 [79,] 1 1 [80,] 1 1 [81,] 1 1 [82,] 1 1 [83,] 1 1 [84,] 1 1 [85,] 1 1 [ 30989,182079) [182079,362301] [ 30989,182079) 42 1 [182079,362301] 8 34 > postscript(file="/var/wessaorg/rcomp/tmp/4xra41324335254.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/55g0q1324335254.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/650t01324335254.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/7uw6q1324335254.tab") + } > > try(system("convert tmp/2hvgs1324335254.ps tmp/2hvgs1324335254.png",intern=TRUE)) character(0) > try(system("convert tmp/39nzh1324335254.ps tmp/39nzh1324335254.png",intern=TRUE)) character(0) > try(system("convert tmp/4xra41324335254.ps tmp/4xra41324335254.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.419 0.268 2.695