R version 2.12.0 (2010-10-15) Copyright (C) 2010 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(127476 + ,20 + ,17 + ,59 + ,22622 + ,130358 + ,38 + ,17 + ,50 + ,73570 + ,7215 + ,0 + ,0 + ,0 + ,1929 + ,112861 + ,49 + ,22 + ,51 + ,36294 + ,210171 + ,74 + ,30 + ,112 + ,62378 + ,393802 + ,104 + ,31 + ,118 + ,167760 + ,117604 + ,37 + ,19 + ,59 + ,52443 + ,126029 + ,53 + ,25 + ,90 + ,57283 + ,99729 + ,42 + ,30 + ,50 + ,36614 + ,256310 + ,62 + ,26 + ,79 + ,93268 + ,113066 + ,50 + ,20 + ,49 + ,35439 + ,156212 + ,65 + ,25 + ,74 + ,72405 + ,69952 + ,28 + ,15 + ,32 + ,24044 + ,152673 + ,48 + ,22 + ,82 + ,55909 + ,125841 + ,42 + ,12 + ,43 + ,44689 + ,125769 + ,47 + ,19 + ,65 + ,49319 + ,123467 + ,71 + ,28 + ,111 + ,62075 + ,56232 + ,0 + ,12 + ,36 + ,2341 + ,108244 + ,50 + ,28 + ,89 + ,40551 + ,22762 + ,12 + ,13 + ,28 + ,11621 + ,48554 + ,16 + ,14 + ,35 + ,18741 + ,178697 + ,76 + ,27 + ,78 + ,84202 + ,139115 + ,29 + ,25 + ,67 + ,15334 + ,93773 + ,38 + ,30 + ,61 + ,28024 + ,133398 + ,50 + ,21 + ,58 + ,53306 + ,113933 + ,33 + ,17 + ,49 + ,37918 + ,144781 + ,45 + ,22 + ,77 + ,54819 + ,140711 + ,59 + ,28 + ,71 + ,89058 + ,283337 + ,49 + ,25 + ,82 + ,103354 + ,158146 + ,40 + ,16 + ,53 + ,70239 + ,123344 + ,40 + ,23 + ,71 + ,33045 + ,157640 + ,51 + ,20 + ,58 + ,63852 + ,91279 + ,41 + ,11 + ,25 + ,30905 + ,189374 + ,73 + ,20 + ,59 + ,24242 + ,167915 + ,43 + ,21 + ,77 + ,78907 + ,0 + ,0 + ,0 + ,0 + ,0 + ,175403 + ,46 + ,27 + ,75 + ,36005 + ,92342 + ,44 + ,14 + ,39 + ,31972 + ,100023 + ,31 + ,29 + ,83 + ,35853 + ,178277 + ,71 + ,31 + ,123 + ,115301 + ,145062 + ,61 + ,19 + ,67 + ,47689 + ,110980 + ,28 + ,30 + ,105 + ,34223 + ,86039 + ,21 + ,23 + ,76 + ,43431 + ,120821 + ,42 + ,20 + ,54 + ,52220 + ,95535 + ,44 + ,22 + ,82 + ,33863 + ,109894 + ,34 + ,19 + ,57 + ,46879 + ,61554 + ,15 + ,32 + ,57 + ,23228 + ,156520 + ,46 + ,18 + ,72 + ,42827 + ,159121 + ,43 + ,26 + ,94 + ,65765 + ,129362 + ,47 + ,25 + ,72 + ,38167 + ,48188 + ,12 + ,22 + ,39 + ,14812 + ,91198 + ,42 + ,19 + ,60 + ,32615 + ,229864 + ,56 + ,24 + ,84 + ,82188 + ,180317 + ,41 + ,26 + ,69 + ,51763 + ,150640 + ,48 + ,27 + ,102 + ,59325 + ,104416 + ,30 + ,10 + ,28 + ,48976 + ,165098 + ,44 + ,26 + ,65 + ,43384 + ,63205 + ,25 + ,23 + ,67 + ,26692 + ,100056 + ,42 + ,21 + ,80 + ,53279 + ,137214 + ,28 + ,34 + ,79 + ,20652 + ,99630 + ,33 + ,29 + ,107 + ,38338 + ,84557 + ,32 + ,18 + ,57 + ,36735 + ,91199 + ,28 + ,16 + ,44 + ,42764 + ,83419 + ,31 + ,23 + ,59 + ,44331 + ,101723 + ,13 + ,22 + ,80 + ,41354 + ,94982 + ,38 + ,29 + ,89 + ,47879 + ,129700 + ,39 + ,31 + ,115 + ,103793 + ,110708 + ,68 + ,21 + ,59 + ,52235 + ,81518 + ,32 + ,21 + ,66 + ,49825 + ,31970 + ,5 + ,21 + ,42 + ,4105 + ,192268 + ,53 + ,15 + ,35 + ,58687 + ,87611 + ,33 + ,9 + ,3 + ,40745 + ,77890 + ,48 + ,21 + ,68 + ,33187 + ,83261 + ,36 + ,18 + ,38 + ,14063 + ,116290 + ,52 + ,31 + ,107 + ,37407 + ,56544 + ,0 + ,25 + ,73 + ,7190 + ,116173 + ,52 + ,24 + ,80 + ,49562 + ,111488 + ,45 + ,22 + ,69 + ,76324 + ,60138 + ,16 + ,21 + ,46 + ,21928 + ,73422 + ,33 + ,26 + ,52 + ,27860 + ,67751 + ,48 + ,22 + ,58 + ,28078 + ,213351 + ,33 + ,26 + ,85 + ,49577 + ,51185 + ,24 + ,20 + ,13 + ,28145 + ,97181 + ,37 + ,25 + ,61 + ,36241 + ,45100 + ,17 + ,19 + ,49 + ,10824 + ,115801 + ,32 + ,22 + ,47 + ,46892 + ,185664 + ,55 + ,25 + ,93 + ,61264 + ,71960 + ,39 + ,22 + ,65 + ,22933 + ,76441 + ,29 + ,21 + ,64 + ,20787 + ,103613 + ,26 + ,20 + ,64 + ,43978 + ,98707 + ,37 + ,23 + ,57 + ,51305 + ,126527 + ,58 + ,22 + ,61 + ,55593 + ,136781 + ,35 + ,21 + ,71 + ,51648 + ,105863 + ,24 + ,12 + ,43 + ,30552 + ,38775 + ,18 + ,9 + ,18 + ,23470 + ,179984 + ,37 + ,32 + ,103 + ,77530 + ,164808 + ,86 + ,24 + ,76 + ,57299 + ,19349 + ,13 + ,1 + ,0 + ,9604 + ,146824 + ,20 + ,24 + ,83 + ,34684 + ,108660 + ,32 + ,22 + ,70 + ,41094 + ,43803 + ,8 + ,4 + ,4 + ,3439 + ,47062 + ,38 + ,15 + ,41 + ,25171 + ,110845 + ,45 + ,21 + ,57 + ,23437 + ,92517 + ,24 + ,23 + ,52 + ,34086 + ,58660 + ,23 + ,12 + ,24 + ,24649 + ,27676 + ,2 + ,16 + ,17 + ,2342 + ,98550 + ,52 + ,24 + ,89 + ,45571 + ,43284 + ,5 + ,9 + ,20 + ,3255 + ,0 + ,0 + ,0 + ,0 + ,0 + ,66016 + ,43 + ,22 + ,45 + ,30002 + ,57359 + ,18 + ,17 + ,63 + ,19360 + ,96933 + ,41 + ,18 + ,48 + ,43320 + ,70369 + ,45 + ,21 + ,70 + ,35513 + ,65494 + ,29 + ,17 + ,32 + ,23536 + ,3616 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,143931 + ,32 + ,20 + ,72 + ,54438 + ,109894 + ,58 + ,26 + ,56 + ,56812 + ,122973 + ,17 + ,26 + ,64 + ,33838 + ,84336 + ,24 + ,20 + ,77 + ,32366 + ,43410 + ,7 + ,1 + ,3 + ,13 + ,136250 + ,62 + ,24 + ,73 + ,55082 + ,79015 + ,30 + ,14 + ,37 + ,31334 + ,92937 + ,49 + ,26 + ,54 + ,16612 + ,57586 + ,3 + ,12 + ,32 + ,5084 + ,19764 + ,10 + ,2 + ,4 + ,9927 + ,105757 + ,42 + ,16 + ,55 + ,47413 + ,96410 + ,18 + ,22 + ,81 + ,27389 + ,113402 + ,40 + ,28 + ,90 + ,30425 + ,11796 + ,1 + ,2 + ,1 + ,0 + ,7627 + ,0 + ,0 + ,0 + ,0 + ,121085 + ,29 + ,17 + ,38 + ,33510 + ,6836 + ,0 + ,1 + ,0 + ,0 + ,139563 + ,46 + ,17 + ,36 + ,40389 + ,5118 + ,5 + ,0 + ,0 + ,0 + ,40248 + ,8 + ,4 + ,7 + ,6012 + ,0 + ,0 + ,0 + ,0 + ,0 + ,95079 + ,21 + ,25 + ,75 + ,22205 + ,80750 + ,21 + ,26 + ,52 + ,17231 + ,7131 + ,0 + ,0 + ,0 + ,0 + ,4194 + ,0 + ,0 + ,0 + ,0 + ,60378 + ,15 + ,15 + ,45 + ,11017 + ,96971 + ,40 + ,18 + ,60 + ,46741 + ,83484 + ,17 + ,19 + ,48 + ,39869) + ,dim=c(5 + ,144) + ,dimnames=list(c('Time' + ,'Blogged' + ,'Reviewed' + ,'Feedback' + ,'Writing ') + ,1:144)) > y <- array(NA,dim=c(5,144),dimnames=list(c('Time','Blogged','Reviewed','Feedback','Writing '),1:144)) > 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 = '5' > par2 = 'quantiles' > 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 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" > x[,par1] [1] 127476 130358 7215 112861 210171 393802 117604 126029 99729 256310 [11] 113066 156212 69952 152673 125841 125769 123467 56232 108244 22762 [21] 48554 178697 139115 93773 133398 113933 144781 140711 283337 158146 [31] 123344 157640 91279 189374 167915 0 175403 92342 100023 178277 [41] 145062 110980 86039 120821 95535 109894 61554 156520 159121 129362 [51] 48188 91198 229864 180317 150640 104416 165098 63205 100056 137214 [61] 99630 84557 91199 83419 101723 94982 129700 110708 81518 31970 [71] 192268 87611 77890 83261 116290 56544 116173 111488 60138 73422 [81] 67751 213351 51185 97181 45100 115801 185664 71960 76441 103613 [91] 98707 126527 136781 105863 38775 179984 164808 19349 146824 108660 [101] 43803 47062 110845 92517 58660 27676 98550 43284 0 66016 [111] 57359 96933 70369 65494 3616 0 143931 109894 122973 84336 [121] 43410 136250 79015 92937 57586 19764 105757 96410 113402 11796 [131] 7627 121085 6836 139563 5118 40248 0 95079 80750 7131 [141] 4194 60378 96971 83484 > 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, 57359) [ 57359, 92342) [ 92342,111488) [111488,143931) [143931,393802] 29 29 29 29 28 > colnames(x) [1] "Time" "Blogged" "Reviewed" "Feedback" "Writing.." > colnames(x)[par1] [1] "Time" > x[,par1] [1] [111488,143931) [111488,143931) [ 0, 57359) [111488,143931) [5] [143931,393802] [143931,393802] [111488,143931) [111488,143931) [9] [ 92342,111488) [143931,393802] [111488,143931) [143931,393802] [13] [ 57359, 92342) [143931,393802] [111488,143931) [111488,143931) [17] [111488,143931) [ 0, 57359) [ 92342,111488) [ 0, 57359) [21] [ 0, 57359) [143931,393802] [111488,143931) [ 92342,111488) [25] [111488,143931) [111488,143931) [143931,393802] [111488,143931) [29] [143931,393802] [143931,393802] [111488,143931) [143931,393802] [33] [ 57359, 92342) [143931,393802] [143931,393802] [ 0, 57359) [37] [143931,393802] [ 92342,111488) [ 92342,111488) [143931,393802] [41] [143931,393802] [ 92342,111488) [ 57359, 92342) [111488,143931) [45] [ 92342,111488) [ 92342,111488) [ 57359, 92342) [143931,393802] [49] [143931,393802] [111488,143931) [ 0, 57359) [ 57359, 92342) [53] [143931,393802] [143931,393802] [143931,393802] [ 92342,111488) [57] [143931,393802] [ 57359, 92342) [ 92342,111488) [111488,143931) [61] [ 92342,111488) [ 57359, 92342) [ 57359, 92342) [ 57359, 92342) [65] [ 92342,111488) [ 92342,111488) [111488,143931) [ 92342,111488) [69] [ 57359, 92342) [ 0, 57359) [143931,393802] [ 57359, 92342) [73] [ 57359, 92342) [ 57359, 92342) [111488,143931) [ 0, 57359) [77] [111488,143931) [111488,143931) [ 57359, 92342) [ 57359, 92342) [81] [ 57359, 92342) [143931,393802] [ 0, 57359) [ 92342,111488) [85] [ 0, 57359) [111488,143931) [143931,393802] [ 57359, 92342) [89] [ 57359, 92342) [ 92342,111488) [ 92342,111488) [111488,143931) [93] [111488,143931) [ 92342,111488) [ 0, 57359) [143931,393802] [97] [143931,393802] [ 0, 57359) [143931,393802] [ 92342,111488) [101] [ 0, 57359) [ 0, 57359) [ 92342,111488) [ 92342,111488) [105] [ 57359, 92342) [ 0, 57359) [ 92342,111488) [ 0, 57359) [109] [ 0, 57359) [ 57359, 92342) [ 57359, 92342) [ 92342,111488) [113] [ 57359, 92342) [ 57359, 92342) [ 0, 57359) [ 0, 57359) [117] [143931,393802] [ 92342,111488) [111488,143931) [ 57359, 92342) [121] [ 0, 57359) [111488,143931) [ 57359, 92342) [ 92342,111488) [125] [ 57359, 92342) [ 0, 57359) [ 92342,111488) [ 92342,111488) [129] [111488,143931) [ 0, 57359) [ 0, 57359) [111488,143931) [133] [ 0, 57359) [111488,143931) [ 0, 57359) [ 0, 57359) [137] [ 0, 57359) [ 92342,111488) [ 57359, 92342) [ 0, 57359) [141] [ 0, 57359) [ 57359, 92342) [ 92342,111488) [ 57359, 92342) 5 Levels: [ 0, 57359) [ 57359, 92342) [ 92342,111488) ... [143931,393802] > if (par2 == 'none') { + m <- ctree(as.formula(paste(colnames(x)[par1],' ~ .',sep='')),data = x) + } > > #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/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/rcomp/tmp/1z9j91323877410.tab") + } + } m.ct.i.pred m.ct.i.actu 1 2 3 4 5 1 230 32 2 0 0 2 21 139 94 5 0 3 7 50 202 4 6 4 0 34 162 7 61 5 0 7 77 0 170 [1] 0.8712121 [1] 0.5366795 [1] 0.7509294 [1] 0.02651515 [1] 0.6692913 [1] 0.5709924 m.ct.x.pred m.ct.x.actu 1 2 3 4 5 1 22 4 0 0 0 2 4 10 16 1 0 3 0 3 18 0 0 4 0 2 14 1 9 5 0 0 8 0 18 [1] 0.8461538 [1] 0.3225806 [1] 0.8571429 [1] 0.03846154 [1] 0.6923077 [1] 0.5307692 > m Conditional inference tree with 6 terminal nodes Response: as.factor(Time) Inputs: Blogged, Reviewed, Feedback, Writing.. Number of observations: 144 1) Blogged <= 13; criterion = 1, statistic = 86.984 2) Writing.. <= 4105; criterion = 1, statistic = 18.989 3)* weights = 18 2) Writing.. > 4105 4)* weights = 8 1) Blogged > 13 5) Writing.. <= 53306; criterion = 1, statistic = 45.005 6) Feedback <= 41; criterion = 0.999, statistic = 22.223 7)* weights = 15 6) Feedback > 41 8) Writing.. <= 33187; criterion = 0.976, statistic = 14.43 9)* weights = 27 8) Writing.. > 33187 10)* weights = 47 5) Writing.. > 53306 11)* weights = 29 > postscript(file="/var/www/rcomp/tmp/2myzl1323877410.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/rcomp/tmp/3uu4f1323877410.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,] 4 2 [2,] 4 5 [3,] 1 1 [4,] 4 3 [5,] 5 5 [6,] 5 5 [7,] 4 3 [8,] 4 5 [9,] 3 3 [10,] 5 5 [11,] 4 3 [12,] 5 5 [13,] 2 2 [14,] 5 5 [15,] 4 3 [16,] 4 3 [17,] 4 5 [18,] 1 1 [19,] 3 3 [20,] 1 1 [21,] 1 2 [22,] 5 5 [23,] 4 2 [24,] 3 2 [25,] 4 3 [26,] 4 3 [27,] 5 5 [28,] 4 5 [29,] 5 5 [30,] 5 5 [31,] 4 2 [32,] 5 5 [33,] 2 2 [34,] 5 2 [35,] 5 5 [36,] 1 1 [37,] 5 3 [38,] 3 2 [39,] 3 3 [40,] 5 5 [41,] 5 3 [42,] 3 3 [43,] 2 3 [44,] 4 3 [45,] 3 3 [46,] 3 3 [47,] 2 2 [48,] 5 3 [49,] 5 5 [50,] 4 3 [51,] 1 1 [52,] 2 2 [53,] 5 5 [54,] 5 3 [55,] 5 5 [56,] 3 2 [57,] 5 3 [58,] 2 2 [59,] 3 3 [60,] 4 2 [61,] 3 3 [62,] 2 3 [63,] 2 3 [64,] 2 3 [65,] 3 1 [66,] 3 3 [67,] 4 5 [68,] 3 3 [69,] 2 3 [70,] 1 1 [71,] 5 5 [72,] 2 2 [73,] 2 2 [74,] 2 2 [75,] 4 3 [76,] 1 1 [77,] 4 3 [78,] 4 5 [79,] 2 2 [80,] 2 2 [81,] 2 2 [82,] 5 3 [83,] 1 2 [84,] 3 3 [85,] 1 2 [86,] 4 3 [87,] 5 5 [88,] 2 2 [89,] 2 2 [90,] 3 3 [91,] 3 3 [92,] 4 5 [93,] 4 3 [94,] 3 2 [95,] 1 2 [96,] 5 5 [97,] 5 5 [98,] 1 1 [99,] 5 3 [100,] 3 3 [101,] 1 1 [102,] 1 2 [103,] 3 2 [104,] 3 3 [105,] 2 2 [106,] 1 1 [107,] 3 3 [108,] 1 1 [109,] 1 1 [110,] 2 2 [111,] 2 2 [112,] 3 3 [113,] 2 3 [114,] 2 2 [115,] 1 1 [116,] 1 1 [117,] 5 5 [118,] 3 5 [119,] 4 3 [120,] 2 2 [121,] 1 1 [122,] 4 5 [123,] 2 2 [124,] 3 2 [125,] 2 1 [126,] 1 1 [127,] 3 3 [128,] 3 2 [129,] 4 2 [130,] 1 1 [131,] 1 1 [132,] 4 2 [133,] 1 1 [134,] 4 2 [135,] 1 1 [136,] 1 1 [137,] 1 1 [138,] 3 2 [139,] 2 2 [140,] 1 1 [141,] 1 1 [142,] 2 2 [143,] 3 3 [144,] 2 3 [ 0, 57359) [ 57359, 92342) [ 92342,111488) [ 0, 57359) 24 5 0 [ 57359, 92342) 1 21 7 [ 92342,111488) 1 8 19 [111488,143931) 0 7 14 [143931,393802] 0 1 7 [111488,143931) [143931,393802] [ 0, 57359) 0 0 [ 57359, 92342) 0 0 [ 92342,111488) 0 1 [111488,143931) 0 8 [143931,393802] 0 20 > postscript(file="/var/www/rcomp/tmp/4s43f1323877410.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$Residuals)^2)),4)) + a<-table.row.end(a) + a<-table.end(a) + table.save(a,file="/var/www/rcomp/tmp/5s4vv1323877410.tab") + a<-table.start() + a<-table.row.start(a) + a<-table.element(a,'Actuals, Predictions, and Residuals',4,TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'#',header=TRUE) + a<-table.element(a,'Actuals',header=TRUE) + a<-table.element(a,'Forecasts',header=TRUE) + a<-table.element(a,'Residuals',header=TRUE) + a<-table.row.end(a) + for (i in 1:length(result$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/rcomp/tmp/6pa6j1323877410.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/rcomp/tmp/71mvq1323877410.tab") + } > > try(system("convert tmp/2myzl1323877410.ps tmp/2myzl1323877410.png",intern=TRUE)) character(0) > try(system("convert tmp/3uu4f1323877410.ps tmp/3uu4f1323877410.png",intern=TRUE)) character(0) > try(system("convert tmp/4s43f1323877410.ps tmp/4s43f1323877410.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.880 0.130 2.991