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. 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,69863 + ,318765 + ,1 + ,6341 + ,24 + ,63255 + ,286146 + ,1 + ,1164 + ,17 + ,57320 + ,306844 + ,1 + ,3310 + ,33 + ,75230 + ,307705 + ,0 + ,1366 + ,7 + ,79420 + ,312448 + ,0 + ,965 + ,3 + ,73490 + ,299715 + ,0 + ,3256 + ,66 + ,35250 + ,373399 + ,1 + ,1135 + ,17 + ,62285 + ,299446 + ,0 + ,1270 + ,26 + ,69206 + ,325586 + ,0 + ,661 + ,3 + ,65920 + ,291221 + ,0 + ,1013 + ,2 + ,69770 + ,261173 + ,0 + ,2844 + ,67 + ,72683 + ,255027 + ,1 + ,11528 + ,70 + ,-14545 + ,-78375 + ,0 + ,6526 + ,26 + ,55830 + ,-58143 + ,0 + ,2264 + ,24 + ,55174 + ,227033 + ,1 + ,4461 + ,94 + ,67038 + ,235098 + ,0 + ,3999 + ,30 + ,51252 + ,21267 + ,0 + ,35624 + ,223 + ,157278 + ,238675 + ,0 + ,9252 + ,48 + ,79510 + ,197687 + ,0 + ,15236 + ,90 + ,77440 + ,418341 + ,0 + ,18073 + ,180 + ,27284 + ,-297706) + ,dim=c(5 + ,431) + ,dimnames=list(c('Group' + ,'Costs' + ,'Trades' + ,'Dividends' + ,'Wealth ') + ,1:431)) > y <- array(NA,dim=c(5,431),dimnames=list(c('Group','Costs','Trades','Dividends','Wealth '),1:431)) > 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 = 'none' > par1 = '5' > #'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] "Wealth." > x[,par1] [1] 6282929 4324047 4108272 -1212617 1485329 1779876 1367203 2519076 [9] 912684 1443586 1220017 984885 1457425 -572920 929144 1151176 [17] 790090 774497 990576 454195 876607 711969 702380 264449 [25] 450033 541063 588864 -37216 783310 467359 688779 608419 [33] 696348 597793 821730 377934 651939 697458 700368 225986 [41] 348695 373683 501709 413743 379825 336260 636765 481231 [49] 469107 211928 563925 511939 521016 543856 329304 423262 [57] 509665 455881 367772 406339 493408 232942 416002 337430 [65] 361517 360962 235561 408247 450296 418799 247405 378519 [73] 326638 328233 386225 283662 370225 269236 365732 420383 [81] 345811 431809 418876 297476 416776 357257 458343 388386 [89] 358934 407560 392558 373177 428370 369419 358649 376641 [97] 467427 364885 436230 329118 317365 286849 376685 407198 [105] 377772 271483 153661 513294 324881 264512 420968 129302 [113] 191521 268673 353179 354624 363713 456657 211742 338381 [121] 418530 351483 372928 485538 279268 219060 325560 325314 [129] 322046 325560 325599 377028 325560 323850 325560 331514 [137] 325632 325560 325560 325560 322265 325560 325906 325985 [145] 346145 325898 325560 325356 325560 325930 318020 326389 [153] 325560 302925 325540 325560 325560 326736 340580 325560 [161] 325560 325560 325560 331828 323299 325560 325560 387722 [169] 325560 325560 325560 324598 325560 328726 325560 325043 [177] 325560 325806 325560 325560 387732 349729 332202 305442 [185] 329537 327055 356245 328451 307062 325560 331345 325560 [193] 331824 325560 325685 325560 404480 325560 325560 318314 [201] 325560 325560 325560 311807 337724 326431 327556 325560 [209] 356850 325560 325560 325560 322741 310902 324295 325560 [217] 326156 326960 325560 333411 297761 325560 325536 325560 [225] 325762 327957 325560 325560 318521 325560 319775 325560 [233] 325560 332128 325560 325486 325560 325838 325560 325560 [241] 325560 331767 325560 324523 339995 325560 325560 319582 [249] 325560 325560 307245 325560 317967 331488 335452 325560 [257] 334184 313213 325560 325560 325560 325560 348678 328727 [265] 325560 325560 325560 387978 325560 336704 325560 325560 [273] 325560 322076 325560 334272 338197 325560 321024 322145 [281] 325560 325560 323351 325560 327748 325560 325560 328157 [289] 325560 311594 325560 335962 372426 325560 319844 355822 [297] 325560 325560 325560 325560 324047 311464 325560 325560 [305] 353417 325590 325560 328576 326126 325560 325560 369376 [313] 325560 332013 325871 342165 324967 314832 325557 325560 [321] 325560 325560 325560 325560 325560 322649 325560 325560 [329] 325560 325560 325560 325560 325560 324598 325567 325560 [337] 324005 325560 325748 323385 315409 325560 325560 325560 [345] 325560 325560 312275 325560 325560 325560 320576 325246 [353] 332961 323010 325560 325560 345253 325560 325560 325560 [361] 325559 325560 325560 319634 319951 325560 325560 325560 [369] 325560 325560 325560 318519 343222 317234 325560 325560 [377] 314025 320249 325560 325560 325560 349365 289197 325560 [385] 329245 240869 327182 322876 323117 306351 335137 308271 [393] 301731 382409 279230 298731 243650 532682 319771 171493 [401] 347262 343945 311874 302211 316708 333463 344282 319635 [409] 301186 300381 318765 286146 306844 307705 312448 299715 [417] 373399 299446 325586 291221 261173 255027 -78375 -58143 [425] 227033 235098 21267 238675 197687 418341 -297706 > 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]) -1212617 -572920 -297706 -78375 -58143 -37216 21267 129302 1 1 1 1 1 1 1 1 153661 171493 191521 197687 211742 211928 219060 225986 1 1 1 1 1 1 1 1 227033 232942 235098 235561 238675 240869 243650 247405 1 1 1 1 1 1 1 1 255027 261173 264449 264512 268673 269236 271483 279230 1 1 1 1 1 1 1 1 279268 283662 286146 286849 289197 291221 297476 297761 1 1 1 1 1 1 1 1 298731 299446 299715 300381 301186 301731 302211 302925 1 1 1 1 1 1 1 1 305442 306351 306844 307062 307245 307705 308271 310902 1 1 1 1 1 1 1 1 311464 311594 311807 311874 312275 312448 313213 314025 1 1 1 1 1 1 1 1 314832 315409 316708 317234 317365 317967 318020 318314 1 1 1 1 1 1 1 1 318519 318521 318765 319582 319634 319635 319771 319775 1 1 1 1 1 1 1 1 319844 319951 320249 320576 321024 322046 322076 322145 1 1 1 1 1 1 1 1 322265 322649 322741 322876 323010 323117 323299 323351 1 1 1 1 1 1 1 1 323385 323850 324005 324047 324295 324523 324598 324881 1 1 1 1 1 1 2 1 324967 325043 325246 325314 325356 325486 325536 325540 1 1 1 1 1 1 1 1 325557 325559 325560 325567 325586 325590 325599 325632 1 1 134 1 1 1 1 1 325685 325748 325762 325806 325838 325871 325898 325906 1 1 1 1 1 1 1 1 325930 325985 326126 326156 326389 326431 326638 326736 1 1 1 1 1 1 1 1 326960 327055 327182 327556 327748 327957 328157 328233 1 1 1 1 1 1 1 1 328451 328576 328726 328727 329118 329245 329304 329537 1 1 1 1 1 1 1 1 331345 331488 331514 331767 331824 331828 332013 332128 1 1 1 1 1 1 1 1 332202 332961 333411 333463 334184 334272 335137 335452 1 1 1 1 1 1 1 1 335962 336260 336704 337430 337724 338197 338381 339995 1 1 1 1 1 1 1 1 340580 342165 343222 343945 344282 345253 345811 346145 1 1 1 1 1 1 1 1 347262 348678 348695 349365 349729 351483 353179 353417 1 1 1 1 1 1 1 1 354624 355822 356245 356850 357257 358649 358934 360962 1 1 1 1 1 1 1 1 361517 363713 364885 365732 367772 369376 369419 370225 1 1 1 1 1 1 1 1 372426 372928 373177 373399 373683 376641 376685 377028 1 1 1 1 1 1 1 1 377772 377934 378519 379825 382409 386225 387722 387732 1 1 1 1 1 1 1 1 387978 388386 392558 404480 406339 407198 407560 408247 1 1 1 1 1 1 1 1 413743 416002 416776 418341 418530 418799 418876 420383 1 1 1 1 1 1 1 1 420968 423262 428370 431809 436230 450033 450296 454195 1 1 1 1 1 1 1 1 455881 456657 458343 467359 467427 469107 481231 485538 1 1 1 1 1 1 1 1 493408 501709 509665 511939 513294 521016 532682 541063 1 1 1 1 1 1 1 1 543856 563925 588864 597793 608419 636765 651939 688779 1 1 1 1 1 1 1 1 696348 697458 700368 702380 711969 774497 783310 790090 1 1 1 1 1 1 1 1 821730 876607 912684 929144 984885 990576 1151176 1220017 1 1 1 1 1 1 1 1 1367203 1443586 1457425 1485329 1779876 2519076 4108272 4324047 1 1 1 1 1 1 1 1 6282929 1 > colnames(x) [1] "Group" "Costs" "Trades" "Dividends" "Wealth." > colnames(x)[par1] [1] "Wealth." > x[,par1] [1] 6282929 4324047 4108272 -1212617 1485329 1779876 1367203 2519076 [9] 912684 1443586 1220017 984885 1457425 -572920 929144 1151176 [17] 790090 774497 990576 454195 876607 711969 702380 264449 [25] 450033 541063 588864 -37216 783310 467359 688779 608419 [33] 696348 597793 821730 377934 651939 697458 700368 225986 [41] 348695 373683 501709 413743 379825 336260 636765 481231 [49] 469107 211928 563925 511939 521016 543856 329304 423262 [57] 509665 455881 367772 406339 493408 232942 416002 337430 [65] 361517 360962 235561 408247 450296 418799 247405 378519 [73] 326638 328233 386225 283662 370225 269236 365732 420383 [81] 345811 431809 418876 297476 416776 357257 458343 388386 [89] 358934 407560 392558 373177 428370 369419 358649 376641 [97] 467427 364885 436230 329118 317365 286849 376685 407198 [105] 377772 271483 153661 513294 324881 264512 420968 129302 [113] 191521 268673 353179 354624 363713 456657 211742 338381 [121] 418530 351483 372928 485538 279268 219060 325560 325314 [129] 322046 325560 325599 377028 325560 323850 325560 331514 [137] 325632 325560 325560 325560 322265 325560 325906 325985 [145] 346145 325898 325560 325356 325560 325930 318020 326389 [153] 325560 302925 325540 325560 325560 326736 340580 325560 [161] 325560 325560 325560 331828 323299 325560 325560 387722 [169] 325560 325560 325560 324598 325560 328726 325560 325043 [177] 325560 325806 325560 325560 387732 349729 332202 305442 [185] 329537 327055 356245 328451 307062 325560 331345 325560 [193] 331824 325560 325685 325560 404480 325560 325560 318314 [201] 325560 325560 325560 311807 337724 326431 327556 325560 [209] 356850 325560 325560 325560 322741 310902 324295 325560 [217] 326156 326960 325560 333411 297761 325560 325536 325560 [225] 325762 327957 325560 325560 318521 325560 319775 325560 [233] 325560 332128 325560 325486 325560 325838 325560 325560 [241] 325560 331767 325560 324523 339995 325560 325560 319582 [249] 325560 325560 307245 325560 317967 331488 335452 325560 [257] 334184 313213 325560 325560 325560 325560 348678 328727 [265] 325560 325560 325560 387978 325560 336704 325560 325560 [273] 325560 322076 325560 334272 338197 325560 321024 322145 [281] 325560 325560 323351 325560 327748 325560 325560 328157 [289] 325560 311594 325560 335962 372426 325560 319844 355822 [297] 325560 325560 325560 325560 324047 311464 325560 325560 [305] 353417 325590 325560 328576 326126 325560 325560 369376 [313] 325560 332013 325871 342165 324967 314832 325557 325560 [321] 325560 325560 325560 325560 325560 322649 325560 325560 [329] 325560 325560 325560 325560 325560 324598 325567 325560 [337] 324005 325560 325748 323385 315409 325560 325560 325560 [345] 325560 325560 312275 325560 325560 325560 320576 325246 [353] 332961 323010 325560 325560 345253 325560 325560 325560 [361] 325559 325560 325560 319634 319951 325560 325560 325560 [369] 325560 325560 325560 318519 343222 317234 325560 325560 [377] 314025 320249 325560 325560 325560 349365 289197 325560 [385] 329245 240869 327182 322876 323117 306351 335137 308271 [393] 301731 382409 279230 298731 243650 532682 319771 171493 [401] 347262 343945 311874 302211 316708 333463 344282 319635 [409] 301186 300381 318765 286146 306844 307705 312448 299715 [417] 373399 299446 325586 291221 261173 255027 -78375 -58143 [425] 227033 235098 21267 238675 197687 418341 -297706 > 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/1iug31292934812.tab") + } + } > m Conditional inference tree with 7 terminal nodes Response: Wealth. Inputs: Group, Costs, Trades, Dividends Number of observations: 431 1) Costs <= 26088; criterion = 1, statistic = 211.832 2) Costs <= 11528; criterion = 1, statistic = 101.008 3) Dividends <= 86111; criterion = 1, statistic = 163.787 4) Costs <= 1889; criterion = 1, statistic = 27.665 5)* weights = 303 4) Costs > 1889 6)* weights = 39 3) Dividends > 86111 7) Dividends <= 146216; criterion = 1, statistic = 16.297 8) Group <= 0; criterion = 0.966, statistic = 6.898 9)* weights = 29 8) Group > 0 10)* weights = 21 7) Dividends > 146216 11)* weights = 7 2) Costs > 11528 12)* weights = 20 1) Costs > 26088 13)* weights = 12 > postscript(file="/var/www/html/rcomp/tmp/2alx61292934812.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/3alx61292934812.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 6282929 1851927.5 4.431002e+06 2 4324047 1851927.5 2.472120e+06 3 4108272 1851927.5 2.256344e+06 4 -1212617 1851927.5 -3.064544e+06 5 1485329 1851927.5 -3.665985e+05 6 1779876 1851927.5 -7.205150e+04 7 1367203 1851927.5 -4.847245e+05 8 2519076 1851927.5 6.671485e+05 9 912684 1851927.5 -9.392435e+05 10 1443586 662903.7 7.806823e+05 11 1220017 662903.7 5.571133e+05 12 984885 662903.7 3.219813e+05 13 1457425 662903.7 7.945213e+05 14 -572920 1851927.5 -2.424848e+06 15 929144 662903.7 2.662403e+05 16 1151176 707207.0 4.439690e+05 17 790090 707207.0 8.288300e+04 18 774497 662903.7 1.115933e+05 19 990576 1851927.5 -8.613515e+05 20 454195 662903.7 -2.087087e+05 21 876607 662903.7 2.137033e+05 22 711969 662903.7 4.906535e+04 23 702380 662903.7 3.947635e+04 24 264449 662903.7 -3.984547e+05 25 450033 412084.7 3.794828e+04 26 541063 662903.7 -1.218407e+05 27 588864 662903.7 -7.403965e+04 28 -37216 277262.7 -3.144787e+05 29 783310 277262.7 5.060473e+05 30 467359 662903.7 -1.955447e+05 31 688779 479017.4 2.097616e+05 32 608419 662903.7 -5.448465e+04 33 696348 277262.7 4.190853e+05 34 597793 479017.4 1.187756e+05 35 821730 707207.0 1.145230e+05 36 377934 662903.7 -2.849697e+05 37 651939 412084.7 2.398543e+05 38 697458 479017.4 2.184406e+05 39 700368 707207.0 -6.839000e+03 40 225986 277262.7 -5.127667e+04 41 348695 412084.7 -6.338972e+04 42 373683 662903.7 -2.892207e+05 43 501709 412084.7 8.962428e+04 44 413743 412084.7 1.658276e+03 45 379825 277262.7 1.025623e+05 46 336260 479017.4 -1.427574e+05 47 636765 707207.0 -7.044200e+04 48 481231 479017.4 2.213619e+03 49 469107 412084.7 5.702228e+04 50 211928 277262.7 -6.533467e+04 51 563925 479017.4 8.490762e+04 52 511939 479017.4 3.292162e+04 53 521016 707207.0 -1.861910e+05 54 543856 479017.4 6.483862e+04 55 329304 707207.0 -3.779030e+05 56 423262 277262.7 1.459993e+05 57 509665 277262.7 2.324023e+05 58 455881 412084.7 4.379628e+04 59 367772 412084.7 -4.431272e+04 60 406339 479017.4 -7.267838e+04 61 493408 479017.4 1.439062e+04 62 232942 326042.4 -9.310039e+04 63 416002 479017.4 -6.301538e+04 64 337430 277262.7 6.016733e+04 65 361517 277262.7 8.425433e+04 66 360962 662903.7 -3.019417e+05 67 235561 326042.4 -9.048139e+04 68 408247 479017.4 -7.077038e+04 69 450296 412084.7 3.821128e+04 70 418799 479017.4 -6.021838e+04 71 247405 277262.7 -2.985767e+04 72 378519 277262.7 1.012563e+05 73 326638 412084.7 -8.544672e+04 74 328233 326042.4 2.190614e+03 75 386225 412084.7 -2.585972e+04 76 283662 326042.4 -4.238039e+04 77 370225 412084.7 -4.185972e+04 78 269236 326042.4 -5.680639e+04 79 365732 326042.4 3.968961e+04 80 420383 479017.4 -5.863438e+04 81 345811 326042.4 1.976861e+04 82 431809 479017.4 -4.720838e+04 83 418876 412084.7 6.791276e+03 84 297476 326042.4 -2.856639e+04 85 416776 412084.7 4.691276e+03 86 357257 277262.7 7.999433e+04 87 458343 412084.7 4.625828e+04 88 388386 412084.7 -2.369872e+04 89 358934 412084.7 -5.315072e+04 90 407560 412084.7 -4.524724e+03 91 392558 412084.7 -1.952672e+04 92 373177 277262.7 9.591433e+04 93 428370 277262.7 1.511073e+05 94 369419 479017.4 -1.095984e+05 95 358649 326042.4 3.260661e+04 96 376641 277262.7 9.937833e+04 97 467427 412084.7 5.534228e+04 98 364885 326042.4 3.884261e+04 99 436230 412084.7 2.414528e+04 100 329118 326042.4 3.075614e+03 101 317365 326042.4 -8.677386e+03 102 286849 412084.7 -1.252357e+05 103 376685 412084.7 -3.539972e+04 104 407198 412084.7 -4.886724e+03 105 377772 326042.4 5.172961e+04 106 271483 326042.4 -5.455939e+04 107 153661 277262.7 -1.236017e+05 108 513294 479017.4 3.427662e+04 109 324881 412084.7 -8.720372e+04 110 264512 277262.7 -1.275067e+04 111 420968 326042.4 9.492561e+04 112 129302 277262.7 -1.479607e+05 113 191521 277262.7 -8.574167e+04 114 268673 277262.7 -8.589667e+03 115 353179 326042.4 2.713661e+04 116 354624 326042.4 2.858161e+04 117 363713 326042.4 3.767061e+04 118 456657 412084.7 4.457228e+04 119 211742 277262.7 -6.552067e+04 120 338381 326042.4 1.233861e+04 121 418530 412084.7 6.445276e+03 122 351483 326042.4 2.544061e+04 123 372928 412084.7 -3.915672e+04 124 485538 479017.4 6.520619e+03 125 279268 277262.7 2.005333e+03 126 219060 277262.7 -5.820267e+04 127 325560 326042.4 -4.823861e+02 128 325314 326042.4 -7.283861e+02 129 322046 326042.4 -3.996386e+03 130 325560 326042.4 -4.823861e+02 131 325599 326042.4 -4.433861e+02 132 377028 326042.4 5.098561e+04 133 325560 326042.4 -4.823861e+02 134 323850 326042.4 -2.192386e+03 135 325560 326042.4 -4.823861e+02 136 331514 326042.4 5.471614e+03 137 325632 326042.4 -4.103861e+02 138 325560 326042.4 -4.823861e+02 139 325560 326042.4 -4.823861e+02 140 325560 326042.4 -4.823861e+02 141 322265 326042.4 -3.777386e+03 142 325560 326042.4 -4.823861e+02 143 325906 326042.4 -1.363861e+02 144 325985 326042.4 -5.738614e+01 145 346145 326042.4 2.010261e+04 146 325898 326042.4 -1.443861e+02 147 325560 326042.4 -4.823861e+02 148 325356 326042.4 -6.863861e+02 149 325560 326042.4 -4.823861e+02 150 325930 326042.4 -1.123861e+02 151 318020 326042.4 -8.022386e+03 152 326389 326042.4 3.466139e+02 153 325560 326042.4 -4.823861e+02 154 302925 326042.4 -2.311739e+04 155 325540 326042.4 -5.023861e+02 156 325560 326042.4 -4.823861e+02 157 325560 326042.4 -4.823861e+02 158 326736 326042.4 6.936139e+02 159 340580 326042.4 1.453761e+04 160 325560 326042.4 -4.823861e+02 161 325560 326042.4 -4.823861e+02 162 325560 326042.4 -4.823861e+02 163 325560 326042.4 -4.823861e+02 164 331828 326042.4 5.785614e+03 165 323299 326042.4 -2.743386e+03 166 325560 326042.4 -4.823861e+02 167 325560 326042.4 -4.823861e+02 168 387722 326042.4 6.167961e+04 169 325560 326042.4 -4.823861e+02 170 325560 326042.4 -4.823861e+02 171 325560 326042.4 -4.823861e+02 172 324598 326042.4 -1.444386e+03 173 325560 326042.4 -4.823861e+02 174 328726 326042.4 2.683614e+03 175 325560 326042.4 -4.823861e+02 176 325043 326042.4 -9.993861e+02 177 325560 326042.4 -4.823861e+02 178 325806 326042.4 -2.363861e+02 179 325560 326042.4 -4.823861e+02 180 325560 326042.4 -4.823861e+02 181 387732 326042.4 6.168961e+04 182 349729 326042.4 2.368661e+04 183 332202 326042.4 6.159614e+03 184 305442 326042.4 -2.060039e+04 185 329537 326042.4 3.494614e+03 186 327055 326042.4 1.012614e+03 187 356245 326042.4 3.020261e+04 188 328451 326042.4 2.408614e+03 189 307062 326042.4 -1.898039e+04 190 325560 326042.4 -4.823861e+02 191 331345 326042.4 5.302614e+03 192 325560 326042.4 -4.823861e+02 193 331824 326042.4 5.781614e+03 194 325560 326042.4 -4.823861e+02 195 325685 326042.4 -3.573861e+02 196 325560 326042.4 -4.823861e+02 197 404480 479017.4 -7.453738e+04 198 325560 326042.4 -4.823861e+02 199 325560 326042.4 -4.823861e+02 200 318314 326042.4 -7.728386e+03 201 325560 326042.4 -4.823861e+02 202 325560 326042.4 -4.823861e+02 203 325560 326042.4 -4.823861e+02 204 311807 326042.4 -1.423539e+04 205 337724 479017.4 -1.412934e+05 206 326431 326042.4 3.886139e+02 207 327556 326042.4 1.513614e+03 208 325560 326042.4 -4.823861e+02 209 356850 326042.4 3.080761e+04 210 325560 326042.4 -4.823861e+02 211 325560 326042.4 -4.823861e+02 212 325560 326042.4 -4.823861e+02 213 322741 326042.4 -3.301386e+03 214 310902 326042.4 -1.514039e+04 215 324295 326042.4 -1.747386e+03 216 325560 326042.4 -4.823861e+02 217 326156 326042.4 1.136139e+02 218 326960 326042.4 9.176139e+02 219 325560 326042.4 -4.823861e+02 220 333411 326042.4 7.368614e+03 221 297761 326042.4 -2.828139e+04 222 325560 326042.4 -4.823861e+02 223 325536 326042.4 -5.063861e+02 224 325560 326042.4 -4.823861e+02 225 325762 326042.4 -2.803861e+02 226 327957 326042.4 1.914614e+03 227 325560 326042.4 -4.823861e+02 228 325560 326042.4 -4.823861e+02 229 318521 326042.4 -7.521386e+03 230 325560 326042.4 -4.823861e+02 231 319775 326042.4 -6.267386e+03 232 325560 326042.4 -4.823861e+02 233 325560 326042.4 -4.823861e+02 234 332128 326042.4 6.085614e+03 235 325560 326042.4 -4.823861e+02 236 325486 326042.4 -5.563861e+02 237 325560 326042.4 -4.823861e+02 238 325838 326042.4 -2.043861e+02 239 325560 326042.4 -4.823861e+02 240 325560 326042.4 -4.823861e+02 241 325560 326042.4 -4.823861e+02 242 331767 326042.4 5.724614e+03 243 325560 326042.4 -4.823861e+02 244 324523 326042.4 -1.519386e+03 245 339995 277262.7 6.273233e+04 246 325560 326042.4 -4.823861e+02 247 325560 326042.4 -4.823861e+02 248 319582 326042.4 -6.460386e+03 249 325560 326042.4 -4.823861e+02 250 325560 326042.4 -4.823861e+02 251 307245 326042.4 -1.879739e+04 252 325560 326042.4 -4.823861e+02 253 317967 326042.4 -8.075386e+03 254 331488 326042.4 5.445614e+03 255 335452 326042.4 9.409614e+03 256 325560 326042.4 -4.823861e+02 257 334184 326042.4 8.141614e+03 258 313213 326042.4 -1.282939e+04 259 325560 326042.4 -4.823861e+02 260 325560 326042.4 -4.823861e+02 261 325560 326042.4 -4.823861e+02 262 325560 326042.4 -4.823861e+02 263 348678 326042.4 2.263561e+04 264 328727 326042.4 2.684614e+03 265 325560 326042.4 -4.823861e+02 266 325560 326042.4 -4.823861e+02 267 325560 326042.4 -4.823861e+02 268 387978 326042.4 6.193561e+04 269 325560 326042.4 -4.823861e+02 270 336704 326042.4 1.066161e+04 271 325560 326042.4 -4.823861e+02 272 325560 326042.4 -4.823861e+02 273 325560 326042.4 -4.823861e+02 274 322076 326042.4 -3.966386e+03 275 325560 326042.4 -4.823861e+02 276 334272 326042.4 8.229614e+03 277 338197 326042.4 1.215461e+04 278 325560 326042.4 -4.823861e+02 279 321024 326042.4 -5.018386e+03 280 322145 326042.4 -3.897386e+03 281 325560 326042.4 -4.823861e+02 282 325560 326042.4 -4.823861e+02 283 323351 326042.4 -2.691386e+03 284 325560 326042.4 -4.823861e+02 285 327748 326042.4 1.705614e+03 286 325560 326042.4 -4.823861e+02 287 325560 326042.4 -4.823861e+02 288 328157 326042.4 2.114614e+03 289 325560 326042.4 -4.823861e+02 290 311594 326042.4 -1.444839e+04 291 325560 326042.4 -4.823861e+02 292 335962 326042.4 9.919614e+03 293 372426 326042.4 4.638361e+04 294 325560 326042.4 -4.823861e+02 295 319844 326042.4 -6.198386e+03 296 355822 326042.4 2.977961e+04 297 325560 326042.4 -4.823861e+02 298 325560 326042.4 -4.823861e+02 299 325560 326042.4 -4.823861e+02 300 325560 326042.4 -4.823861e+02 301 324047 326042.4 -1.995386e+03 302 311464 326042.4 -1.457839e+04 303 325560 326042.4 -4.823861e+02 304 325560 326042.4 -4.823861e+02 305 353417 326042.4 2.737461e+04 306 325590 326042.4 -4.523861e+02 307 325560 326042.4 -4.823861e+02 308 328576 326042.4 2.533614e+03 309 326126 326042.4 8.361386e+01 310 325560 326042.4 -4.823861e+02 311 325560 326042.4 -4.823861e+02 312 369376 412084.7 -4.270872e+04 313 325560 326042.4 -4.823861e+02 314 332013 326042.4 5.970614e+03 315 325871 326042.4 -1.713861e+02 316 342165 326042.4 1.612261e+04 317 324967 326042.4 -1.075386e+03 318 314832 326042.4 -1.121039e+04 319 325557 326042.4 -4.853861e+02 320 325560 326042.4 -4.823861e+02 321 325560 326042.4 -4.823861e+02 322 325560 326042.4 -4.823861e+02 323 325560 326042.4 -4.823861e+02 324 325560 326042.4 -4.823861e+02 325 325560 326042.4 -4.823861e+02 326 322649 326042.4 -3.393386e+03 327 325560 326042.4 -4.823861e+02 328 325560 326042.4 -4.823861e+02 329 325560 326042.4 -4.823861e+02 330 325560 326042.4 -4.823861e+02 331 325560 326042.4 -4.823861e+02 332 325560 326042.4 -4.823861e+02 333 325560 326042.4 -4.823861e+02 334 324598 326042.4 -1.444386e+03 335 325567 326042.4 -4.753861e+02 336 325560 326042.4 -4.823861e+02 337 324005 326042.4 -2.037386e+03 338 325560 326042.4 -4.823861e+02 339 325748 326042.4 -2.943861e+02 340 323385 326042.4 -2.657386e+03 341 315409 326042.4 -1.063339e+04 342 325560 326042.4 -4.823861e+02 343 325560 326042.4 -4.823861e+02 344 325560 326042.4 -4.823861e+02 345 325560 326042.4 -4.823861e+02 346 325560 326042.4 -4.823861e+02 347 312275 326042.4 -1.376739e+04 348 325560 326042.4 -4.823861e+02 349 325560 326042.4 -4.823861e+02 350 325560 326042.4 -4.823861e+02 351 320576 326042.4 -5.466386e+03 352 325246 326042.4 -7.963861e+02 353 332961 326042.4 6.918614e+03 354 323010 326042.4 -3.032386e+03 355 325560 326042.4 -4.823861e+02 356 325560 326042.4 -4.823861e+02 357 345253 326042.4 1.921061e+04 358 325560 326042.4 -4.823861e+02 359 325560 326042.4 -4.823861e+02 360 325560 326042.4 -4.823861e+02 361 325559 326042.4 -4.833861e+02 362 325560 326042.4 -4.823861e+02 363 325560 326042.4 -4.823861e+02 364 319634 326042.4 -6.408386e+03 365 319951 326042.4 -6.091386e+03 366 325560 326042.4 -4.823861e+02 367 325560 326042.4 -4.823861e+02 368 325560 326042.4 -4.823861e+02 369 325560 326042.4 -4.823861e+02 370 325560 326042.4 -4.823861e+02 371 325560 326042.4 -4.823861e+02 372 318519 326042.4 -7.523386e+03 373 343222 326042.4 1.717961e+04 374 317234 326042.4 -8.808386e+03 375 325560 326042.4 -4.823861e+02 376 325560 326042.4 -4.823861e+02 377 314025 326042.4 -1.201739e+04 378 320249 326042.4 -5.793386e+03 379 325560 326042.4 -4.823861e+02 380 325560 326042.4 -4.823861e+02 381 325560 326042.4 -4.823861e+02 382 349365 326042.4 2.332261e+04 383 289197 326042.4 -3.684539e+04 384 325560 326042.4 -4.823861e+02 385 329245 326042.4 3.202614e+03 386 240869 277262.7 -3.639367e+04 387 327182 326042.4 1.139614e+03 388 322876 326042.4 -3.166386e+03 389 323117 326042.4 -2.925386e+03 390 306351 326042.4 -1.969139e+04 391 335137 326042.4 9.094614e+03 392 308271 326042.4 -1.777139e+04 393 301731 326042.4 -2.431139e+04 394 382409 326042.4 5.636661e+04 395 279230 277262.7 1.967333e+03 396 298731 326042.4 -2.731139e+04 397 243650 277262.7 -3.361267e+04 398 532682 479017.4 5.366462e+04 399 319771 326042.4 -6.271386e+03 400 171493 277262.7 -1.057697e+05 401 347262 326042.4 2.121961e+04 402 343945 326042.4 1.790261e+04 403 311874 326042.4 -1.416839e+04 404 302211 326042.4 -2.383139e+04 405 316708 326042.4 -9.334386e+03 406 333463 326042.4 7.420614e+03 407 344282 326042.4 1.823961e+04 408 319635 326042.4 -6.407386e+03 409 301186 326042.4 -2.485639e+04 410 300381 326042.4 -2.566139e+04 411 318765 326042.4 -7.277386e+03 412 286146 277262.7 8.883333e+03 413 306844 326042.4 -1.919839e+04 414 307705 277262.7 3.044233e+04 415 312448 326042.4 -1.359439e+04 416 299715 326042.4 -2.632739e+04 417 373399 277262.7 9.613633e+04 418 299446 326042.4 -2.659639e+04 419 325586 326042.4 -4.563861e+02 420 291221 326042.4 -3.482139e+04 421 261173 326042.4 -6.486939e+04 422 255027 277262.7 -2.223567e+04 423 -78375 277262.7 -3.556377e+05 424 -58143 277262.7 -3.354057e+05 425 227033 277262.7 -5.022967e+04 426 235098 277262.7 -4.216467e+04 427 21267 277262.7 -2.559957e+05 428 238675 1851927.5 -1.613252e+06 429 197687 277262.7 -7.957567e+04 430 418341 662903.7 -2.445627e+05 431 -297706 662903.7 -9.606097e+05 > if (par2 != 'none') { + print(cbind(as.factor(x[,par1]),predict(m))) + myt <- table(as.factor(x[,par1]),predict(m)) + print(myt) + } > postscript(file="/var/www/html/rcomp/tmp/4lde91292934812.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/56vvf1292934812.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/6aet31292934812.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/7vwsr1292934812.tab") + } > > try(system("convert tmp/2alx61292934812.ps tmp/2alx61292934812.png",intern=TRUE)) character(0) > try(system("convert tmp/3alx61292934812.ps tmp/3alx61292934812.png",intern=TRUE)) character(0) > try(system("convert tmp/4lde91292934812.ps tmp/4lde91292934812.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 8.649 0.770 36.980