R version 3.0.2 (2013-09-25) -- "Frisbee Sailing" Copyright (C) 2013 The R Foundation for Statistical Computing Platform: i686-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(1948 + ,0 + ,14.15 + ,2.64971462 + ,1948.0833333333 + ,0 + ,13.95 + ,2.63547951 + ,1948.1666666667 + ,0 + ,13.96 + ,2.6361961 + ,1948.25 + ,0 + ,13.99 + ,2.63834279 + ,1948.3333333333 + ,1 + ,14.08 + ,2.64475535 + ,1948.4166666667 + ,0 + ,14.03 + ,2.64119789 + ,1948.5 + ,1 + ,13.93 + ,2.63404479 + ,1948.5833333333 + ,2 + ,13.95 + ,2.63547951 + ,1948.6666666667 + ,3 + ,13.94 + ,2.63476241 + ,1948.75 + ,1 + ,14.01 + ,2.63977136 + ,1948.8333333333 + ,1 + ,13.98 + ,2.63762774 + ,1948.9166666667 + ,0 + ,13.84 + ,2.62756295 + ,1949 + ,0 + ,14.16 + ,2.65042109 + ,1949.0833333333 + ,0 + ,13.92 + ,2.63332665 + ,1949.1666666667 + ,0 + ,13.97 + ,2.63691217 + ,1949.25 + ,0 + ,14 + ,2.63905733 + ,1949.3333333333 + ,0 + ,14 + ,2.63905733 + ,1949.4166666667 + ,0 + ,13.87 + ,2.62972823 + ,1949.5 + ,0 + ,13.94 + ,2.63476241 + ,1949.5833333333 + ,3 + ,13.98 + ,2.63762774 + ,1949.6666666667 + ,7 + ,13.95 + ,2.63547951 + ,1949.75 + ,2 + ,14.01 + ,2.63977136 + 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,'hurricanes' + ,'temperature' + ,'lnTemp') + ,1:660)) > y <- array(NA,dim=c(4,660),dimnames=list(c('time','hurricanes','temperature','lnTemp'),1:660)) > 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 = '2' > par4 <- 'no' > par3 <- '3' > par2 <- 'none' > par1 <- '2' > #'GNU S' R Code compiled by R2WASP v. 1.2.291 () > #Author: root > #To cite this work: Wessa P., 2012, Recursive Partitioning (Regression Trees) (v1.0.3) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_regression_trees.wasp/ > #Source of accompanying publication: > # > 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 objects are masked from 'package:base': as.Date, 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) Hmisc library by Frank E Harrell Jr Type library(help='Hmisc'), ?Overview, or ?Hmisc.Overview') to see overall documentation. NOTE:Hmisc no longer redefines [.factor to drop unused levels when subsetting. To get the old behavior of Hmisc type dropUnusedLevels(). Attaching package: 'Hmisc' The following object is masked from 'package:survival': untangle.specials The following objects 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] "hurricanes" > x[,par1] [1] 0 0 0 0 1 0 1 2 3 1 1 0 0 0 0 0 0 0 0 3 7 2 1 0 0 0 0 0 0 0 0 4 3 6 0 0 0 [38] 0 0 0 1 0 0 3 4 2 0 0 0 1 0 0 0 0 0 2 2 2 0 0 0 0 0 0 1 0 0 3 3 4 1 1 0 0 [75] 0 0 0 1 1 2 4 1 1 1 0 0 0 0 0 0 1 4 5 2 0 0 0 0 0 0 0 1 1 1 3 1 0 0 0 0 0 [112] 0 0 2 0 1 3 1 0 0 0 0 0 0 0 1 0 4 4 1 0 0 0 0 0 0 1 2 1 1 3 2 0 0 0 0 0 0 [149] 0 1 2 2 2 0 0 0 0 0 0 0 0 0 1 0 6 2 3 1 0 0 0 0 0 0 0 1 0 4 4 1 0 0 0 0 0 [186] 0 1 2 1 1 3 2 0 0 0 0 0 0 0 1 2 2 2 0 0 0 0 0 0 0 0 0 1 0 6 2 2 0 0 0 0 0 [223] 0 0 0 2 2 1 0 0 0 0 0 0 0 0 1 1 5 2 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 1 [260] 5 6 5 1 0 0 0 0 0 1 0 2 2 3 2 0 0 0 0 0 0 0 0 1 4 6 1 1 0 0 0 0 0 1 1 0 2 [297] 2 0 1 0 0 0 0 0 0 0 2 2 2 2 0 0 0 0 0 0 0 1 1 4 4 1 0 0 0 0 0 0 0 1 1 2 3 [334] 1 0 1 0 0 0 0 1 0 1 6 2 1 0 0 0 0 0 0 0 0 0 1 3 2 0 0 1 0 0 0 0 0 1 4 3 3 [371] 0 0 0 0 0 0 0 1 2 3 2 1 0 0 0 0 0 0 0 0 1 2 5 1 2 0 0 0 0 0 1 1 0 3 4 1 2 [408] 0 0 0 0 0 0 2 0 1 3 0 0 0 0 0 0 0 0 0 0 2 2 0 0 0 0 0 0 0 0 0 0 4 6 1 1 1 [445] 0 0 0 0 0 0 2 3 3 2 1 0 0 0 0 0 0 2 0 1 2 0 1 0 0 0 0 0 0 0 0 3 3 1 0 0 0 [482] 0 0 0 0 0 0 4 6 1 1 0 0 0 0 0 0 1 3 3 2 1 1 0 0 0 0 0 0 0 3 5 2 4 0 0 0 0 [519] 0 0 0 1 0 1 3 3 0 0 0 0 0 1 0 0 0 1 4 1 0 0 0 0 0 0 0 1 0 4 3 0 0 0 0 0 0 [556] 0 0 1 0 2 2 0 2 0 0 0 0 0 0 1 5 7 3 4 0 0 0 0 0 0 0 1 2 4 2 3 1 0 0 0 0 0 [593] 0 1 3 0 1 2 0 0 0 0 0 0 0 0 1 4 6 1 1 0 0 0 0 0 0 1 0 4 3 3 1 0 0 0 0 0 0 [630] 0 0 4 7 4 0 0 0 0 0 0 0 1 1 3 5 5 2 0 0 0 0 0 0 0 1 3 8 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 1 2 3 4 5 6 7 8 414 105 58 36 25 9 9 3 1 > colnames(x) [1] "time" "hurricanes" "temperature" "lnTemp" > colnames(x)[par1] [1] "hurricanes" > x[,par1] [1] 0 0 0 0 1 0 1 2 3 1 1 0 0 0 0 0 0 0 0 3 7 2 1 0 0 0 0 0 0 0 0 4 3 6 0 0 0 [38] 0 0 0 1 0 0 3 4 2 0 0 0 1 0 0 0 0 0 2 2 2 0 0 0 0 0 0 1 0 0 3 3 4 1 1 0 0 [75] 0 0 0 1 1 2 4 1 1 1 0 0 0 0 0 0 1 4 5 2 0 0 0 0 0 0 0 1 1 1 3 1 0 0 0 0 0 [112] 0 0 2 0 1 3 1 0 0 0 0 0 0 0 1 0 4 4 1 0 0 0 0 0 0 1 2 1 1 3 2 0 0 0 0 0 0 [149] 0 1 2 2 2 0 0 0 0 0 0 0 0 0 1 0 6 2 3 1 0 0 0 0 0 0 0 1 0 4 4 1 0 0 0 0 0 [186] 0 1 2 1 1 3 2 0 0 0 0 0 0 0 1 2 2 2 0 0 0 0 0 0 0 0 0 1 0 6 2 2 0 0 0 0 0 [223] 0 0 0 2 2 1 0 0 0 0 0 0 0 0 1 1 5 2 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 1 [260] 5 6 5 1 0 0 0 0 0 1 0 2 2 3 2 0 0 0 0 0 0 0 0 1 4 6 1 1 0 0 0 0 0 1 1 0 2 [297] 2 0 1 0 0 0 0 0 0 0 2 2 2 2 0 0 0 0 0 0 0 1 1 4 4 1 0 0 0 0 0 0 0 1 1 2 3 [334] 1 0 1 0 0 0 0 1 0 1 6 2 1 0 0 0 0 0 0 0 0 0 1 3 2 0 0 1 0 0 0 0 0 1 4 3 3 [371] 0 0 0 0 0 0 0 1 2 3 2 1 0 0 0 0 0 0 0 0 1 2 5 1 2 0 0 0 0 0 1 1 0 3 4 1 2 [408] 0 0 0 0 0 0 2 0 1 3 0 0 0 0 0 0 0 0 0 0 2 2 0 0 0 0 0 0 0 0 0 0 4 6 1 1 1 [445] 0 0 0 0 0 0 2 3 3 2 1 0 0 0 0 0 0 2 0 1 2 0 1 0 0 0 0 0 0 0 0 3 3 1 0 0 0 [482] 0 0 0 0 0 0 4 6 1 1 0 0 0 0 0 0 1 3 3 2 1 1 0 0 0 0 0 0 0 3 5 2 4 0 0 0 0 [519] 0 0 0 1 0 1 3 3 0 0 0 0 0 1 0 0 0 1 4 1 0 0 0 0 0 0 0 1 0 4 3 0 0 0 0 0 0 [556] 0 0 1 0 2 2 0 2 0 0 0 0 0 0 1 5 7 3 4 0 0 0 0 0 0 0 1 2 4 2 3 1 0 0 0 0 0 [593] 0 1 3 0 1 2 0 0 0 0 0 0 0 0 1 4 6 1 1 0 0 0 0 0 0 1 0 4 3 3 1 0 0 0 0 0 0 [630] 0 0 4 7 4 0 0 0 0 0 0 0 1 1 3 5 5 2 0 0 0 0 0 0 0 1 3 8 0 0 0 > 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/1zwep1386601442.tab") + } + } > m Conditional inference tree with 1 terminal nodes Response: hurricanes Inputs: time, temperature, lnTemp Number of observations: 660 1)* weights = 660 > postscript(file="/var/wessaorg/rcomp/tmp/2f6ll1386601442.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/38vgp1386601442.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 0 0.8439394 -0.8439394 2 0 0.8439394 -0.8439394 3 0 0.8439394 -0.8439394 4 0 0.8439394 -0.8439394 5 1 0.8439394 0.1560606 6 0 0.8439394 -0.8439394 7 1 0.8439394 0.1560606 8 2 0.8439394 1.1560606 9 3 0.8439394 2.1560606 10 1 0.8439394 0.1560606 11 1 0.8439394 0.1560606 12 0 0.8439394 -0.8439394 13 0 0.8439394 -0.8439394 14 0 0.8439394 -0.8439394 15 0 0.8439394 -0.8439394 16 0 0.8439394 -0.8439394 17 0 0.8439394 -0.8439394 18 0 0.8439394 -0.8439394 19 0 0.8439394 -0.8439394 20 3 0.8439394 2.1560606 21 7 0.8439394 6.1560606 22 2 0.8439394 1.1560606 23 1 0.8439394 0.1560606 24 0 0.8439394 -0.8439394 25 0 0.8439394 -0.8439394 26 0 0.8439394 -0.8439394 27 0 0.8439394 -0.8439394 28 0 0.8439394 -0.8439394 29 0 0.8439394 -0.8439394 30 0 0.8439394 -0.8439394 31 0 0.8439394 -0.8439394 32 4 0.8439394 3.1560606 33 3 0.8439394 2.1560606 34 6 0.8439394 5.1560606 35 0 0.8439394 -0.8439394 36 0 0.8439394 -0.8439394 37 0 0.8439394 -0.8439394 38 0 0.8439394 -0.8439394 39 0 0.8439394 -0.8439394 40 0 0.8439394 -0.8439394 41 1 0.8439394 0.1560606 42 0 0.8439394 -0.8439394 43 0 0.8439394 -0.8439394 44 3 0.8439394 2.1560606 45 4 0.8439394 3.1560606 46 2 0.8439394 1.1560606 47 0 0.8439394 -0.8439394 48 0 0.8439394 -0.8439394 49 0 0.8439394 -0.8439394 50 1 0.8439394 0.1560606 51 0 0.8439394 -0.8439394 52 0 0.8439394 -0.8439394 53 0 0.8439394 -0.8439394 54 0 0.8439394 -0.8439394 55 0 0.8439394 -0.8439394 56 2 0.8439394 1.1560606 57 2 0.8439394 1.1560606 58 2 0.8439394 1.1560606 59 0 0.8439394 -0.8439394 60 0 0.8439394 -0.8439394 61 0 0.8439394 -0.8439394 62 0 0.8439394 -0.8439394 63 0 0.8439394 -0.8439394 64 0 0.8439394 -0.8439394 65 1 0.8439394 0.1560606 66 0 0.8439394 -0.8439394 67 0 0.8439394 -0.8439394 68 3 0.8439394 2.1560606 69 3 0.8439394 2.1560606 70 4 0.8439394 3.1560606 71 1 0.8439394 0.1560606 72 1 0.8439394 0.1560606 73 0 0.8439394 -0.8439394 74 0 0.8439394 -0.8439394 75 0 0.8439394 -0.8439394 76 0 0.8439394 -0.8439394 77 0 0.8439394 -0.8439394 78 1 0.8439394 0.1560606 79 1 0.8439394 0.1560606 80 2 0.8439394 1.1560606 81 4 0.8439394 3.1560606 82 1 0.8439394 0.1560606 83 1 0.8439394 0.1560606 84 1 0.8439394 0.1560606 85 0 0.8439394 -0.8439394 86 0 0.8439394 -0.8439394 87 0 0.8439394 -0.8439394 88 0 0.8439394 -0.8439394 89 0 0.8439394 -0.8439394 90 0 0.8439394 -0.8439394 91 1 0.8439394 0.1560606 92 4 0.8439394 3.1560606 93 5 0.8439394 4.1560606 94 2 0.8439394 1.1560606 95 0 0.8439394 -0.8439394 96 0 0.8439394 -0.8439394 97 0 0.8439394 -0.8439394 98 0 0.8439394 -0.8439394 99 0 0.8439394 -0.8439394 100 0 0.8439394 -0.8439394 101 0 0.8439394 -0.8439394 102 1 0.8439394 0.1560606 103 1 0.8439394 0.1560606 104 1 0.8439394 0.1560606 105 3 0.8439394 2.1560606 106 1 0.8439394 0.1560606 107 0 0.8439394 -0.8439394 108 0 0.8439394 -0.8439394 109 0 0.8439394 -0.8439394 110 0 0.8439394 -0.8439394 111 0 0.8439394 -0.8439394 112 0 0.8439394 -0.8439394 113 0 0.8439394 -0.8439394 114 2 0.8439394 1.1560606 115 0 0.8439394 -0.8439394 116 1 0.8439394 0.1560606 117 3 0.8439394 2.1560606 118 1 0.8439394 0.1560606 119 0 0.8439394 -0.8439394 120 0 0.8439394 -0.8439394 121 0 0.8439394 -0.8439394 122 0 0.8439394 -0.8439394 123 0 0.8439394 -0.8439394 124 0 0.8439394 -0.8439394 125 0 0.8439394 -0.8439394 126 1 0.8439394 0.1560606 127 0 0.8439394 -0.8439394 128 4 0.8439394 3.1560606 129 4 0.8439394 3.1560606 130 1 0.8439394 0.1560606 131 0 0.8439394 -0.8439394 132 0 0.8439394 -0.8439394 133 0 0.8439394 -0.8439394 134 0 0.8439394 -0.8439394 135 0 0.8439394 -0.8439394 136 0 0.8439394 -0.8439394 137 1 0.8439394 0.1560606 138 2 0.8439394 1.1560606 139 1 0.8439394 0.1560606 140 1 0.8439394 0.1560606 141 3 0.8439394 2.1560606 142 2 0.8439394 1.1560606 143 0 0.8439394 -0.8439394 144 0 0.8439394 -0.8439394 145 0 0.8439394 -0.8439394 146 0 0.8439394 -0.8439394 147 0 0.8439394 -0.8439394 148 0 0.8439394 -0.8439394 149 0 0.8439394 -0.8439394 150 1 0.8439394 0.1560606 151 2 0.8439394 1.1560606 152 2 0.8439394 1.1560606 153 2 0.8439394 1.1560606 154 0 0.8439394 -0.8439394 155 0 0.8439394 -0.8439394 156 0 0.8439394 -0.8439394 157 0 0.8439394 -0.8439394 158 0 0.8439394 -0.8439394 159 0 0.8439394 -0.8439394 160 0 0.8439394 -0.8439394 161 0 0.8439394 -0.8439394 162 0 0.8439394 -0.8439394 163 1 0.8439394 0.1560606 164 0 0.8439394 -0.8439394 165 6 0.8439394 5.1560606 166 2 0.8439394 1.1560606 167 3 0.8439394 2.1560606 168 1 0.8439394 0.1560606 169 0 0.8439394 -0.8439394 170 0 0.8439394 -0.8439394 171 0 0.8439394 -0.8439394 172 0 0.8439394 -0.8439394 173 0 0.8439394 -0.8439394 174 0 0.8439394 -0.8439394 175 0 0.8439394 -0.8439394 176 1 0.8439394 0.1560606 177 0 0.8439394 -0.8439394 178 4 0.8439394 3.1560606 179 4 0.8439394 3.1560606 180 1 0.8439394 0.1560606 181 0 0.8439394 -0.8439394 182 0 0.8439394 -0.8439394 183 0 0.8439394 -0.8439394 184 0 0.8439394 -0.8439394 185 0 0.8439394 -0.8439394 186 0 0.8439394 -0.8439394 187 1 0.8439394 0.1560606 188 2 0.8439394 1.1560606 189 1 0.8439394 0.1560606 190 1 0.8439394 0.1560606 191 3 0.8439394 2.1560606 192 2 0.8439394 1.1560606 193 0 0.8439394 -0.8439394 194 0 0.8439394 -0.8439394 195 0 0.8439394 -0.8439394 196 0 0.8439394 -0.8439394 197 0 0.8439394 -0.8439394 198 0 0.8439394 -0.8439394 199 0 0.8439394 -0.8439394 200 1 0.8439394 0.1560606 201 2 0.8439394 1.1560606 202 2 0.8439394 1.1560606 203 2 0.8439394 1.1560606 204 0 0.8439394 -0.8439394 205 0 0.8439394 -0.8439394 206 0 0.8439394 -0.8439394 207 0 0.8439394 -0.8439394 208 0 0.8439394 -0.8439394 209 0 0.8439394 -0.8439394 210 0 0.8439394 -0.8439394 211 0 0.8439394 -0.8439394 212 0 0.8439394 -0.8439394 213 1 0.8439394 0.1560606 214 0 0.8439394 -0.8439394 215 6 0.8439394 5.1560606 216 2 0.8439394 1.1560606 217 2 0.8439394 1.1560606 218 0 0.8439394 -0.8439394 219 0 0.8439394 -0.8439394 220 0 0.8439394 -0.8439394 221 0 0.8439394 -0.8439394 222 0 0.8439394 -0.8439394 223 0 0.8439394 -0.8439394 224 0 0.8439394 -0.8439394 225 0 0.8439394 -0.8439394 226 2 0.8439394 1.1560606 227 2 0.8439394 1.1560606 228 1 0.8439394 0.1560606 229 0 0.8439394 -0.8439394 230 0 0.8439394 -0.8439394 231 0 0.8439394 -0.8439394 232 0 0.8439394 -0.8439394 233 0 0.8439394 -0.8439394 234 0 0.8439394 -0.8439394 235 0 0.8439394 -0.8439394 236 0 0.8439394 -0.8439394 237 1 0.8439394 0.1560606 238 1 0.8439394 0.1560606 239 5 0.8439394 4.1560606 240 2 0.8439394 1.1560606 241 0 0.8439394 -0.8439394 242 0 0.8439394 -0.8439394 243 0 0.8439394 -0.8439394 244 0 0.8439394 -0.8439394 245 0 0.8439394 -0.8439394 246 0 0.8439394 -0.8439394 247 0 0.8439394 -0.8439394 248 1 0.8439394 0.1560606 249 1 0.8439394 0.1560606 250 1 0.8439394 0.1560606 251 0 0.8439394 -0.8439394 252 0 0.8439394 -0.8439394 253 0 0.8439394 -0.8439394 254 0 0.8439394 -0.8439394 255 0 0.8439394 -0.8439394 256 0 0.8439394 -0.8439394 257 0 0.8439394 -0.8439394 258 0 0.8439394 -0.8439394 259 1 0.8439394 0.1560606 260 5 0.8439394 4.1560606 261 6 0.8439394 5.1560606 262 5 0.8439394 4.1560606 263 1 0.8439394 0.1560606 264 0 0.8439394 -0.8439394 265 0 0.8439394 -0.8439394 266 0 0.8439394 -0.8439394 267 0 0.8439394 -0.8439394 268 0 0.8439394 -0.8439394 269 1 0.8439394 0.1560606 270 0 0.8439394 -0.8439394 271 2 0.8439394 1.1560606 272 2 0.8439394 1.1560606 273 3 0.8439394 2.1560606 274 2 0.8439394 1.1560606 275 0 0.8439394 -0.8439394 276 0 0.8439394 -0.8439394 277 0 0.8439394 -0.8439394 278 0 0.8439394 -0.8439394 279 0 0.8439394 -0.8439394 280 0 0.8439394 -0.8439394 281 0 0.8439394 -0.8439394 282 0 0.8439394 -0.8439394 283 1 0.8439394 0.1560606 284 4 0.8439394 3.1560606 285 6 0.8439394 5.1560606 286 1 0.8439394 0.1560606 287 1 0.8439394 0.1560606 288 0 0.8439394 -0.8439394 289 0 0.8439394 -0.8439394 290 0 0.8439394 -0.8439394 291 0 0.8439394 -0.8439394 292 0 0.8439394 -0.8439394 293 1 0.8439394 0.1560606 294 1 0.8439394 0.1560606 295 0 0.8439394 -0.8439394 296 2 0.8439394 1.1560606 297 2 0.8439394 1.1560606 298 0 0.8439394 -0.8439394 299 1 0.8439394 0.1560606 300 0 0.8439394 -0.8439394 301 0 0.8439394 -0.8439394 302 0 0.8439394 -0.8439394 303 0 0.8439394 -0.8439394 304 0 0.8439394 -0.8439394 305 0 0.8439394 -0.8439394 306 0 0.8439394 -0.8439394 307 2 0.8439394 1.1560606 308 2 0.8439394 1.1560606 309 2 0.8439394 1.1560606 310 2 0.8439394 1.1560606 311 0 0.8439394 -0.8439394 312 0 0.8439394 -0.8439394 313 0 0.8439394 -0.8439394 314 0 0.8439394 -0.8439394 315 0 0.8439394 -0.8439394 316 0 0.8439394 -0.8439394 317 0 0.8439394 -0.8439394 318 1 0.8439394 0.1560606 319 1 0.8439394 0.1560606 320 4 0.8439394 3.1560606 321 4 0.8439394 3.1560606 322 1 0.8439394 0.1560606 323 0 0.8439394 -0.8439394 324 0 0.8439394 -0.8439394 325 0 0.8439394 -0.8439394 326 0 0.8439394 -0.8439394 327 0 0.8439394 -0.8439394 328 0 0.8439394 -0.8439394 329 0 0.8439394 -0.8439394 330 1 0.8439394 0.1560606 331 1 0.8439394 0.1560606 332 2 0.8439394 1.1560606 333 3 0.8439394 2.1560606 334 1 0.8439394 0.1560606 335 0 0.8439394 -0.8439394 336 1 0.8439394 0.1560606 337 0 0.8439394 -0.8439394 338 0 0.8439394 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451 2 0.8439394 1.1560606 452 3 0.8439394 2.1560606 453 3 0.8439394 2.1560606 454 2 0.8439394 1.1560606 455 1 0.8439394 0.1560606 456 0 0.8439394 -0.8439394 457 0 0.8439394 -0.8439394 458 0 0.8439394 -0.8439394 459 0 0.8439394 -0.8439394 460 0 0.8439394 -0.8439394 461 0 0.8439394 -0.8439394 462 2 0.8439394 1.1560606 463 0 0.8439394 -0.8439394 464 1 0.8439394 0.1560606 465 2 0.8439394 1.1560606 466 0 0.8439394 -0.8439394 467 1 0.8439394 0.1560606 468 0 0.8439394 -0.8439394 469 0 0.8439394 -0.8439394 470 0 0.8439394 -0.8439394 471 0 0.8439394 -0.8439394 472 0 0.8439394 -0.8439394 473 0 0.8439394 -0.8439394 474 0 0.8439394 -0.8439394 475 0 0.8439394 -0.8439394 476 3 0.8439394 2.1560606 477 3 0.8439394 2.1560606 478 1 0.8439394 0.1560606 479 0 0.8439394 -0.8439394 480 0 0.8439394 -0.8439394 481 0 0.8439394 -0.8439394 482 0 0.8439394 -0.8439394 483 0 0.8439394 -0.8439394 484 0 0.8439394 -0.8439394 485 0 0.8439394 -0.8439394 486 0 0.8439394 -0.8439394 487 0 0.8439394 -0.8439394 488 4 0.8439394 3.1560606 489 6 0.8439394 5.1560606 490 1 0.8439394 0.1560606 491 1 0.8439394 0.1560606 492 0 0.8439394 -0.8439394 493 0 0.8439394 -0.8439394 494 0 0.8439394 -0.8439394 495 0 0.8439394 -0.8439394 496 0 0.8439394 -0.8439394 497 0 0.8439394 -0.8439394 498 1 0.8439394 0.1560606 499 3 0.8439394 2.1560606 500 3 0.8439394 2.1560606 501 2 0.8439394 1.1560606 502 1 0.8439394 0.1560606 503 1 0.8439394 0.1560606 504 0 0.8439394 -0.8439394 505 0 0.8439394 -0.8439394 506 0 0.8439394 -0.8439394 507 0 0.8439394 -0.8439394 508 0 0.8439394 -0.8439394 509 0 0.8439394 -0.8439394 510 0 0.8439394 -0.8439394 511 3 0.8439394 2.1560606 512 5 0.8439394 4.1560606 513 2 0.8439394 1.1560606 514 4 0.8439394 3.1560606 515 0 0.8439394 -0.8439394 516 0 0.8439394 -0.8439394 517 0 0.8439394 -0.8439394 518 0 0.8439394 -0.8439394 519 0 0.8439394 -0.8439394 520 0 0.8439394 -0.8439394 521 0 0.8439394 -0.8439394 522 1 0.8439394 0.1560606 523 0 0.8439394 -0.8439394 524 1 0.8439394 0.1560606 525 3 0.8439394 2.1560606 526 3 0.8439394 2.1560606 527 0 0.8439394 -0.8439394 528 0 0.8439394 -0.8439394 529 0 0.8439394 -0.8439394 530 0 0.8439394 -0.8439394 531 0 0.8439394 -0.8439394 532 1 0.8439394 0.1560606 533 0 0.8439394 -0.8439394 534 0 0.8439394 -0.8439394 535 0 0.8439394 -0.8439394 536 1 0.8439394 0.1560606 537 4 0.8439394 3.1560606 538 1 0.8439394 0.1560606 539 0 0.8439394 -0.8439394 540 0 0.8439394 -0.8439394 541 0 0.8439394 -0.8439394 542 0 0.8439394 -0.8439394 543 0 0.8439394 -0.8439394 544 0 0.8439394 -0.8439394 545 0 0.8439394 -0.8439394 546 1 0.8439394 0.1560606 547 0 0.8439394 -0.8439394 548 4 0.8439394 3.1560606 549 3 0.8439394 2.1560606 550 0 0.8439394 -0.8439394 551 0 0.8439394 -0.8439394 552 0 0.8439394 -0.8439394 553 0 0.8439394 -0.8439394 554 0 0.8439394 -0.8439394 555 0 0.8439394 -0.8439394 556 0 0.8439394 -0.8439394 557 0 0.8439394 -0.8439394 558 1 0.8439394 0.1560606 559 0 0.8439394 -0.8439394 560 2 0.8439394 1.1560606 561 2 0.8439394 1.1560606 562 0 0.8439394 -0.8439394 563 2 0.8439394 1.1560606 564 0 0.8439394 -0.8439394 565 0 0.8439394 -0.8439394 566 0 0.8439394 -0.8439394 567 0 0.8439394 -0.8439394 568 0 0.8439394 -0.8439394 569 0 0.8439394 -0.8439394 570 1 0.8439394 0.1560606 571 5 0.8439394 4.1560606 572 7 0.8439394 6.1560606 573 3 0.8439394 2.1560606 574 4 0.8439394 3.1560606 575 0 0.8439394 -0.8439394 576 0 0.8439394 -0.8439394 577 0 0.8439394 -0.8439394 578 0 0.8439394 -0.8439394 579 0 0.8439394 -0.8439394 580 0 0.8439394 -0.8439394 581 0 0.8439394 -0.8439394 582 1 0.8439394 0.1560606 583 2 0.8439394 1.1560606 584 4 0.8439394 3.1560606 585 2 0.8439394 1.1560606 586 3 0.8439394 2.1560606 587 1 0.8439394 0.1560606 588 0 0.8439394 -0.8439394 589 0 0.8439394 -0.8439394 590 0 0.8439394 -0.8439394 591 0 0.8439394 -0.8439394 592 0 0.8439394 -0.8439394 593 0 0.8439394 -0.8439394 594 1 0.8439394 0.1560606 595 3 0.8439394 2.1560606 596 0 0.8439394 -0.8439394 597 1 0.8439394 0.1560606 598 2 0.8439394 1.1560606 599 0 0.8439394 -0.8439394 600 0 0.8439394 -0.8439394 601 0 0.8439394 -0.8439394 602 0 0.8439394 -0.8439394 603 0 0.8439394 -0.8439394 604 0 0.8439394 -0.8439394 605 0 0.8439394 -0.8439394 606 0 0.8439394 -0.8439394 607 1 0.8439394 0.1560606 608 4 0.8439394 3.1560606 609 6 0.8439394 5.1560606 610 1 0.8439394 0.1560606 611 1 0.8439394 0.1560606 612 0 0.8439394 -0.8439394 613 0 0.8439394 -0.8439394 614 0 0.8439394 -0.8439394 615 0 0.8439394 -0.8439394 616 0 0.8439394 -0.8439394 617 0 0.8439394 -0.8439394 618 1 0.8439394 0.1560606 619 0 0.8439394 -0.8439394 620 4 0.8439394 3.1560606 621 3 0.8439394 2.1560606 622 3 0.8439394 2.1560606 623 1 0.8439394 0.1560606 624 0 0.8439394 -0.8439394 625 0 0.8439394 -0.8439394 626 0 0.8439394 -0.8439394 627 0 0.8439394 -0.8439394 628 0 0.8439394 -0.8439394 629 0 0.8439394 -0.8439394 630 0 0.8439394 -0.8439394 631 0 0.8439394 -0.8439394 632 4 0.8439394 3.1560606 633 7 0.8439394 6.1560606 634 4 0.8439394 3.1560606 635 0 0.8439394 -0.8439394 636 0 0.8439394 -0.8439394 637 0 0.8439394 -0.8439394 638 0 0.8439394 -0.8439394 639 0 0.8439394 -0.8439394 640 0 0.8439394 -0.8439394 641 0 0.8439394 -0.8439394 642 1 0.8439394 0.1560606 643 1 0.8439394 0.1560606 644 3 0.8439394 2.1560606 645 5 0.8439394 4.1560606 646 5 0.8439394 4.1560606 647 2 0.8439394 1.1560606 648 0 0.8439394 -0.8439394 649 0 0.8439394 -0.8439394 650 0 0.8439394 -0.8439394 651 0 0.8439394 -0.8439394 652 0 0.8439394 -0.8439394 653 0 0.8439394 -0.8439394 654 0 0.8439394 -0.8439394 655 1 0.8439394 0.1560606 656 3 0.8439394 2.1560606 657 8 0.8439394 7.1560606 658 0 0.8439394 -0.8439394 659 0 0.8439394 -0.8439394 660 0 0.8439394 -0.8439394 > if (par2 != 'none') { + print(cbind(as.factor(x[,par1]),predict(m))) + myt <- table(as.factor(x[,par1]),predict(m)) + print(myt) + } > postscript(file="/var/wessaorg/rcomp/tmp/4ylsy1386601443.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/5ecsb1386601443.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/60y941386601443.tab") + } Warning message: In cor(result$Forecasts, result$Actuals) : the standard deviation is zero > 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/7r6mt1386601443.tab") + } > > try(system("convert tmp/2f6ll1386601442.ps tmp/2f6ll1386601442.png",intern=TRUE)) character(0) > try(system("convert tmp/38vgp1386601442.ps tmp/38vgp1386601442.png",intern=TRUE)) character(0) > try(system("convert tmp/4ylsy1386601443.ps tmp/4ylsy1386601443.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 34.210 3.295 37.523