R version 2.8.0 (2008-10-20) Copyright (C) 2008 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. Natural language support but running in an English locale 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(24 + ,14 + ,11 + ,12 + ,24 + ,26 + ,25 + ,11 + ,7 + ,8 + ,25 + ,23 + ,17 + ,6 + ,17 + ,8 + ,30 + ,25 + ,18 + ,12 + ,10 + ,8 + ,19 + ,23 + ,18 + ,8 + ,12 + ,9 + ,22 + ,19 + ,16 + ,10 + ,12 + ,7 + ,22 + ,29 + ,20 + ,10 + ,11 + ,4 + ,25 + ,25 + ,16 + ,11 + ,11 + ,11 + ,23 + ,21 + ,18 + ,16 + ,12 + ,7 + ,17 + ,22 + ,17 + ,11 + ,13 + ,7 + ,21 + ,25 + ,23 + ,13 + ,14 + ,12 + ,19 + ,24 + ,30 + ,12 + ,16 + ,10 + ,19 + ,18 + ,23 + ,8 + ,11 + ,10 + ,15 + ,22 + ,18 + ,12 + ,10 + ,8 + ,16 + ,15 + ,15 + ,11 + ,11 + ,8 + ,23 + ,22 + ,12 + ,4 + ,15 + ,4 + ,27 + ,28 + ,21 + ,9 + ,9 + ,9 + ,22 + ,20 + ,15 + ,8 + ,11 + ,8 + ,14 + ,12 + ,20 + ,8 + ,17 + ,7 + ,22 + ,24 + ,31 + ,14 + ,17 + ,11 + ,23 + ,20 + ,27 + ,15 + ,11 + ,9 + ,23 + ,21 + ,34 + ,16 + ,18 + ,11 + ,21 + ,20 + ,21 + ,9 + ,14 + ,13 + ,19 + ,21 + ,31 + ,14 + ,10 + ,8 + ,18 + ,23 + ,19 + ,11 + ,11 + ,8 + ,20 + ,28 + ,16 + ,8 + ,15 + ,9 + ,23 + ,24 + ,20 + ,9 + ,15 + ,6 + ,25 + ,24 + ,21 + ,9 + ,13 + ,9 + ,19 + ,24 + ,22 + ,9 + ,16 + ,9 + ,24 + ,23 + ,17 + ,9 + ,13 + ,6 + ,22 + ,23 + ,24 + ,10 + ,9 + ,6 + ,25 + ,29 + ,25 + ,16 + ,18 + ,16 + ,26 + ,24 + ,26 + ,11 + ,18 + ,5 + ,29 + ,18 + ,25 + ,8 + ,12 + ,7 + ,32 + ,25 + ,17 + ,9 + ,17 + ,9 + ,25 + ,21 + ,32 + ,16 + ,9 + ,6 + ,29 + ,26 + ,33 + ,11 + ,9 + ,6 + ,28 + ,22 + ,13 + ,16 + ,12 + ,5 + ,17 + ,22 + ,32 + ,12 + ,18 + ,12 + ,28 + ,22 + ,25 + ,12 + ,12 + ,7 + ,29 + ,23 + ,29 + ,14 + ,18 + ,10 + ,26 + ,30 + ,22 + ,9 + ,14 + ,9 + ,25 + ,23 + ,18 + ,10 + ,15 + ,8 + ,14 + ,17 + ,17 + ,9 + ,16 + ,5 + ,25 + ,23 + ,20 + ,10 + ,10 + ,8 + ,26 + ,23 + ,15 + ,12 + ,11 + ,8 + ,20 + ,25 + ,20 + ,14 + ,14 + ,10 + ,18 + ,24 + ,33 + ,14 + ,9 + ,6 + ,32 + ,24 + ,29 + ,10 + ,12 + ,8 + ,25 + ,23 + ,23 + ,14 + ,17 + ,7 + ,25 + ,21 + ,26 + ,16 + ,5 + ,4 + ,23 + ,24 + ,18 + ,9 + ,12 + ,8 + ,21 + ,24 + ,20 + ,10 + ,12 + ,8 + ,20 + ,28 + ,11 + ,6 + ,6 + ,4 + ,15 + ,16 + ,28 + ,8 + ,24 + ,20 + ,30 + ,20 + ,26 + ,13 + ,12 + ,8 + ,24 + ,29 + ,22 + ,10 + ,12 + ,8 + ,26 + ,27 + ,17 + ,8 + ,14 + ,6 + ,24 + ,22 + ,12 + ,7 + ,7 + ,4 + ,22 + ,28 + ,14 + ,15 + ,13 + ,8 + ,14 + ,16 + ,17 + ,9 + ,12 + ,9 + ,24 + ,25 + ,21 + ,10 + ,13 + ,6 + ,24 + ,24 + ,19 + ,12 + ,14 + ,7 + ,24 + ,28 + ,18 + ,13 + ,8 + ,9 + ,24 + ,24 + ,10 + ,10 + ,11 + ,5 + ,19 + ,23 + ,29 + ,11 + ,9 + ,5 + ,31 + ,30 + ,31 + ,8 + ,11 + ,8 + ,22 + ,24 + ,19 + ,9 + ,13 + ,8 + ,27 + ,21 + ,9 + ,13 + ,10 + ,6 + ,19 + ,25 + ,20 + ,11 + ,11 + ,8 + ,25 + ,25 + ,28 + ,8 + ,12 + ,7 + ,20 + ,22 + ,19 + ,9 + ,9 + ,7 + ,21 + ,23 + ,30 + ,9 + ,15 + ,9 + ,27 + ,26 + ,29 + ,15 + ,18 + ,11 + ,23 + ,23 + ,26 + ,9 + ,15 + ,6 + ,25 + ,25 + ,23 + ,10 + ,12 + ,8 + ,20 + ,21 + ,13 + ,14 + ,13 + ,6 + ,21 + ,25 + ,21 + ,12 + ,14 + ,9 + ,22 + ,24 + ,19 + ,12 + ,10 + ,8 + ,23 + ,29 + ,28 + ,11 + ,13 + ,6 + ,25 + ,22 + ,23 + ,14 + ,13 + ,10 + ,25 + ,27 + ,18 + ,6 + ,11 + ,8 + ,17 + ,26 + ,21 + ,12 + ,13 + ,8 + ,19 + ,22 + ,20 + ,8 + ,16 + ,10 + ,25 + ,24 + ,23 + ,14 + ,8 + ,5 + ,19 + ,27 + ,21 + ,11 + ,16 + ,7 + ,20 + ,24 + ,21 + ,10 + ,11 + ,5 + ,26 + ,24 + ,15 + ,14 + ,9 + ,8 + ,23 + ,29 + ,28 + ,12 + ,16 + ,14 + ,27 + ,22 + ,19 + ,10 + ,12 + ,7 + ,17 + ,21 + ,26 + ,14 + ,14 + ,8 + ,17 + ,24 + ,10 + ,5 + ,8 + ,6 + ,19 + ,24 + ,16 + ,11 + ,9 + ,5 + ,17 + ,23 + ,22 + ,10 + ,15 + ,6 + ,22 + ,20 + ,19 + ,9 + ,11 + ,10 + ,21 + ,27 + ,31 + ,10 + ,21 + ,12 + ,32 + ,26 + ,31 + ,16 + ,14 + ,9 + ,21 + ,25 + ,29 + ,13 + ,18 + ,12 + ,21 + ,21 + ,19 + ,9 + ,12 + ,7 + ,18 + ,21 + ,22 + ,10 + ,13 + ,8 + ,18 + ,19 + ,23 + ,10 + ,15 + ,10 + ,23 + ,21 + ,15 + ,7 + ,12 + ,6 + ,19 + ,21 + ,20 + ,9 + ,19 + ,10 + ,20 + ,16 + ,18 + ,8 + ,15 + ,10 + ,21 + ,22 + ,23 + ,14 + ,11 + ,10 + ,20 + ,29 + ,25 + ,14 + ,11 + ,5 + ,17 + ,15 + ,21 + ,8 + ,10 + ,7 + ,18 + ,17 + ,24 + ,9 + ,13 + ,10 + ,19 + ,15 + ,25 + ,14 + ,15 + ,11 + ,22 + ,21 + ,17 + ,14 + ,12 + ,6 + ,15 + ,21 + ,13 + ,8 + ,12 + ,7 + ,14 + ,19 + ,28 + ,8 + ,16 + ,12 + ,18 + ,24 + ,21 + ,8 + ,9 + ,11 + ,24 + ,20 + ,25 + ,7 + ,18 + ,11 + ,35 + ,17 + ,9 + ,6 + ,8 + ,11 + ,29 + ,23 + ,16 + ,8 + ,13 + ,5 + ,21 + ,24 + ,19 + ,6 + ,17 + ,8 + ,25 + ,14 + ,17 + ,11 + ,9 + ,6 + ,20 + ,19 + ,25 + ,14 + ,15 + ,9 + ,22 + ,24 + ,20 + ,11 + ,8 + ,4 + ,13 + ,13 + ,29 + ,11 + ,7 + ,4 + ,26 + ,22 + ,14 + ,11 + ,12 + ,7 + ,17 + ,16 + ,22 + ,14 + ,14 + ,11 + ,25 + ,19 + ,15 + ,8 + ,6 + ,6 + ,20 + ,25 + ,19 + ,20 + ,8 + ,7 + ,19 + ,25 + ,20 + ,11 + ,17 + ,8 + ,21 + ,23 + ,15 + ,8 + ,10 + ,4 + ,22 + ,24 + ,20 + ,11 + ,11 + ,8 + ,24 + ,26 + ,18 + ,10 + ,14 + ,9 + ,21 + ,26 + ,33 + ,14 + ,11 + ,8 + ,26 + ,25 + ,22 + ,11 + ,13 + ,11 + ,24 + ,18 + ,16 + ,9 + ,12 + ,8 + ,16 + ,21 + ,17 + ,9 + ,11 + ,5 + ,23 + ,26 + ,16 + ,8 + ,9 + ,4 + ,18 + ,23 + ,21 + ,10 + ,12 + ,8 + ,16 + ,23 + ,26 + ,13 + ,20 + ,10 + ,26 + ,22 + ,18 + ,13 + ,12 + ,6 + ,19 + ,20 + ,18 + ,12 + ,13 + ,9 + ,21 + ,13 + ,17 + ,8 + ,12 + ,9 + ,21 + ,24 + ,22 + ,13 + ,12 + ,13 + ,22 + ,15 + ,30 + ,14 + ,9 + ,9 + ,23 + ,14 + ,30 + ,12 + ,15 + ,10 + ,29 + ,22 + ,24 + ,14 + ,24 + ,20 + ,21 + ,10 + ,21 + ,15 + ,7 + ,5 + ,21 + ,24 + ,21 + ,13 + ,17 + ,11 + ,23 + ,22 + ,29 + ,16 + ,11 + ,6 + ,27 + ,24 + ,31 + ,9 + ,17 + ,9 + ,25 + ,19 + ,20 + ,9 + ,11 + ,7 + ,21 + ,20 + ,16 + ,9 + ,12 + ,9 + ,10 + ,13 + ,22 + ,8 + ,14 + ,10 + ,20 + ,20 + ,20 + ,7 + ,11 + ,9 + ,26 + ,22 + ,28 + ,16 + ,16 + ,8 + ,24 + ,24 + ,38 + ,11 + ,21 + ,7 + ,29 + ,29 + ,22 + ,9 + ,14 + ,6 + ,19 + ,12 + ,20 + ,11 + ,20 + ,13 + ,24 + ,20 + ,17 + ,9 + ,13 + ,6 + ,19 + ,21 + ,28 + ,14 + ,11 + ,8 + ,24 + ,24 + ,22 + ,13 + ,15 + ,10 + ,22 + ,22 + ,31 + ,16 + ,19 + ,16 + ,17 + ,20) + ,dim=c(6 + ,159) + ,dimnames=list(c('ConcernOverMistakes' + ,'DoubtsAboutActions' + ,'ParentalExpectations' + ,'ParentalCriticism' + ,'PersonalStandards' + ,'Organization') + ,1:159)) > y <- array(NA,dim=c(6,159),dimnames=list(c('ConcernOverMistakes','DoubtsAboutActions','ParentalExpectations','ParentalCriticism','PersonalStandards','Organization'),1:159)) > 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 = '6' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: > #Technical description: > library(party) Loading required package: survival Loading required package: splines Loading required package: grid Loading required package: modeltools Loading required package: stats4 Loading required package: coin Loading required package: mvtnorm Loading required package: zoo Attaching package: 'zoo' The following object(s) are masked from package:base : as.Date.numeric Loading required package: sandwich Loading required package: strucchange Loading required package: vcd Loading required package: MASS Loading required package: colorspace > library(Hmisc) Attaching package: 'Hmisc' The following object(s) are masked from package:survival : untangle.specials The following object(s) are masked from package:base : format.pval, round.POSIXt, trunc.POSIXt, units > par1 <- as.numeric(par1) > par3 <- as.numeric(par3) > x <- data.frame(t(y)) > is.data.frame(x) [1] TRUE > x <- x[!is.na(x[,par1]),] > k <- length(x[1,]) > n <- length(x[,1]) > colnames(x)[par1] [1] "Organization" > x[,par1] [1] 26 23 25 23 19 29 25 21 22 25 24 18 22 15 22 28 20 12 24 20 21 20 21 23 28 [26] 24 24 24 23 23 29 24 18 25 21 26 22 22 22 23 30 23 17 23 23 25 24 24 23 21 [51] 24 24 28 16 20 29 27 22 28 16 25 24 28 24 23 30 24 21 25 25 22 23 26 23 25 [76] 21 25 24 29 22 27 26 22 24 27 24 24 29 22 21 24 24 23 20 27 26 25 21 21 19 [101] 21 21 16 22 29 15 17 15 21 21 19 24 20 17 23 24 14 19 24 13 22 16 19 25 25 [126] 23 24 26 26 25 18 21 26 23 23 22 20 13 24 15 14 22 10 24 22 24 19 20 13 20 [151] 22 24 29 12 20 21 24 22 20 > if (par2 == 'kmeans') { + cl <- kmeans(x[,par1], par3) + print(cl) + clm <- matrix(cbind(cl$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]) [10,24) [24,30] 91 68 > colnames(x) [1] "ConcernOverMistakes" "DoubtsAboutActions" "ParentalExpectations" [4] "ParentalCriticism" "PersonalStandards" "Organization" > colnames(x)[par1] [1] "Organization" > x[,par1] [1] [24,30] [10,24) [24,30] [10,24) [10,24) [24,30] [24,30] [10,24) [10,24) [10] [24,30] [24,30] [10,24) [10,24) [10,24) [10,24) [24,30] [10,24) [10,24) [19] [24,30] [10,24) [10,24) [10,24) [10,24) [10,24) [24,30] [24,30] [24,30] [28] [24,30] [10,24) [10,24) [24,30] [24,30] [10,24) [24,30] [10,24) [24,30] [37] [10,24) [10,24) [10,24) [10,24) [24,30] [10,24) [10,24) [10,24) [10,24) [46] [24,30] [24,30] [24,30] [10,24) [10,24) [24,30] [24,30] [24,30] [10,24) [55] [10,24) [24,30] [24,30] [10,24) [24,30] [10,24) [24,30] [24,30] [24,30] [64] [24,30] [10,24) [24,30] [24,30] [10,24) [24,30] [24,30] [10,24) [10,24) [73] [24,30] [10,24) [24,30] [10,24) [24,30] [24,30] [24,30] [10,24) [24,30] [82] [24,30] [10,24) [24,30] [24,30] [24,30] [24,30] [24,30] [10,24) [10,24) [91] [24,30] [24,30] [10,24) [10,24) [24,30] [24,30] [24,30] [10,24) [10,24) [100] [10,24) [10,24) [10,24) [10,24) [10,24) [24,30] [10,24) [10,24) [10,24) [109] [10,24) [10,24) [10,24) [24,30] [10,24) [10,24) [10,24) [24,30] [10,24) [118] [10,24) [24,30] [10,24) [10,24) [10,24) [10,24) [24,30] [24,30] [10,24) [127] [24,30] [24,30] [24,30] [24,30] [10,24) [10,24) [24,30] [10,24) [10,24) [136] [10,24) [10,24) [10,24) [24,30] [10,24) [10,24) [10,24) [10,24) [24,30] [145] [10,24) [24,30] [10,24) [10,24) [10,24) [10,24) [10,24) [24,30] [24,30] [154] [10,24) [10,24) [10,24) [24,30] [10,24) [10,24) Levels: [10,24) [24,30] > if (par2 == 'none') { + m <- ctree(as.formula(paste(colnames(x)[par1],' ~ .',sep='')),data = x) + } > > #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/freestat/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/freestat/rcomp/tmp/1bcv91293017647.tab") + } + } > m Conditional inference tree with 3 terminal nodes Response: as.factor(Organization) Inputs: ConcernOverMistakes, DoubtsAboutActions, ParentalExpectations, ParentalCriticism, PersonalStandards Number of observations: 159 1) PersonalStandards <= 18; criterion = 0.973, statistic = 7.735 2)* weights = 28 1) PersonalStandards > 18 3) ParentalCriticism <= 9; criterion = 0.995, statistic = 10.789 4)* weights = 94 3) ParentalCriticism > 9 5)* weights = 37 > postscript(file="/var/www/html/freestat/rcomp/tmp/2mluc1293017647.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/freestat/rcomp/tmp/3mluc1293017647.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 1 [2,] 1 2 [3,] 2 2 [4,] 1 2 [5,] 1 2 [6,] 2 2 [7,] 2 2 [8,] 1 1 [9,] 1 1 [10,] 2 2 [11,] 2 1 [12,] 1 1 [13,] 1 1 [14,] 1 1 [15,] 1 2 [16,] 2 2 [17,] 1 2 [18,] 1 1 [19,] 2 2 [20,] 1 1 [21,] 1 2 [22,] 1 1 [23,] 1 1 [24,] 1 1 [25,] 2 2 [26,] 2 2 [27,] 2 2 [28,] 2 2 [29,] 1 2 [30,] 1 2 [31,] 2 2 [32,] 2 1 [33,] 1 2 [34,] 2 2 [35,] 1 2 [36,] 2 2 [37,] 1 2 [38,] 1 1 [39,] 1 1 [40,] 1 2 [41,] 2 1 [42,] 1 2 [43,] 1 1 [44,] 1 2 [45,] 1 2 [46,] 2 2 [47,] 2 1 [48,] 2 2 [49,] 1 2 [50,] 1 2 [51,] 2 2 [52,] 2 2 [53,] 2 2 [54,] 1 1 [55,] 1 1 [56,] 2 2 [57,] 2 2 [58,] 1 2 [59,] 2 2 [60,] 1 1 [61,] 2 2 [62,] 2 2 [63,] 2 2 [64,] 2 2 [65,] 1 2 [66,] 2 2 [67,] 2 2 [68,] 1 2 [69,] 2 2 [70,] 2 2 [71,] 1 2 [72,] 1 2 [73,] 2 2 [74,] 1 1 [75,] 2 2 [76,] 1 2 [77,] 2 2 [78,] 2 2 [79,] 2 2 [80,] 1 2 [81,] 2 1 [82,] 2 1 [83,] 1 2 [84,] 2 1 [85,] 2 2 [86,] 2 2 [87,] 2 2 [88,] 2 2 [89,] 1 1 [90,] 1 1 [91,] 2 1 [92,] 2 2 [93,] 1 1 [94,] 1 2 [95,] 2 1 [96,] 2 1 [97,] 2 2 [98,] 1 1 [99,] 1 1 [100,] 1 1 [101,] 1 1 [102,] 1 2 [103,] 1 1 [104,] 1 1 [105,] 2 1 [106,] 1 1 [107,] 1 1 [108,] 1 1 [109,] 1 1 [110,] 1 1 [111,] 1 1 [112,] 2 1 [113,] 1 1 [114,] 1 1 [115,] 1 1 [116,] 2 2 [117,] 1 2 [118,] 1 2 [119,] 2 2 [120,] 1 1 [121,] 1 2 [122,] 1 1 [123,] 1 1 [124,] 2 2 [125,] 2 2 [126,] 1 2 [127,] 2 2 [128,] 2 2 [129,] 2 2 [130,] 2 2 [131,] 1 1 [132,] 1 1 [133,] 2 2 [134,] 1 1 [135,] 1 1 [136,] 1 1 [137,] 1 2 [138,] 1 2 [139,] 2 2 [140,] 1 1 [141,] 1 2 [142,] 1 1 [143,] 1 1 [144,] 2 2 [145,] 1 1 [146,] 2 2 [147,] 1 2 [148,] 1 2 [149,] 1 1 [150,] 1 1 [151,] 1 2 [152,] 2 2 [153,] 2 2 [154,] 1 2 [155,] 1 1 [156,] 1 2 [157,] 2 2 [158,] 1 1 [159,] 1 1 [10,24) [24,30] [10,24) 52 39 [24,30] 13 55 > postscript(file="/var/www/html/freestat/rcomp/tmp/4wutx1293017647.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/freestat/rcomp/tmp/5t49o1293017647.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/freestat/rcomp/tmp/6ldq91293017647.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/freestat/rcomp/tmp/7pe6x1293017647.tab") + } > > try(system("convert tmp/2mluc1293017647.ps tmp/2mluc1293017647.png",intern=TRUE)) character(0) > try(system("convert tmp/3mluc1293017647.ps tmp/3mluc1293017647.png",intern=TRUE)) character(0) > try(system("convert tmp/4wutx1293017647.ps tmp/4wutx1293017647.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 3.788 0.665 4.255