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Type 'q()' to quit R. > x <- array(list(0 + ,9 + ,12 + ,9 + ,24 + ,13 + ,14 + ,1 + ,9 + ,15 + ,6 + ,25 + ,12 + ,8 + ,1 + ,9 + ,14 + ,13 + ,19 + ,15 + ,12 + ,1 + ,8 + ,10 + ,7 + ,18 + ,12 + ,7 + ,1 + ,14 + ,10 + ,8 + ,18 + ,10 + ,10 + ,0 + ,14 + ,9 + ,8 + ,23 + ,12 + ,7 + ,1 + ,15 + ,18 + ,11 + ,23 + ,15 + ,16 + ,1 + ,11 + ,11 + ,11 + ,23 + ,9 + ,11 + ,0 + ,14 + ,14 + ,8 + ,17 + ,7 + ,12 + ,0 + ,8 + ,24 + ,20 + ,30 + ,11 + ,7 + ,1 + ,16 + ,18 + ,16 + ,26 + ,10 + ,11 + ,0 + ,11 + ,14 + ,8 + ,23 + ,14 + ,15 + ,1 + ,7 + ,18 + ,11 + ,35 + ,11 + ,7 + ,0 + ,9 + ,12 + ,8 + ,21 + ,15 + ,14 + ,0 + ,16 + ,5 + ,4 + ,23 + ,12 + ,7 + ,1 + ,10 + ,12 + ,8 + ,20 + ,14 + ,15 + ,0 + ,14 + ,11 + ,8 + ,24 + ,15 + ,17 + ,0 + ,11 + ,9 + ,6 + ,20 + ,9 + ,15 + ,1 + ,6 + ,11 + ,8 + ,17 + ,13 + ,14 + ,1 + ,12 + ,16 + ,14 + ,27 + ,16 + ,8 + ,1 + ,14 + ,14 + ,10 + ,18 + ,13 + ,8 + ,0 + ,13 + ,8 + ,9 + ,24 + ,12 + ,14 + ,0 + ,14 + ,18 + ,10 + ,26 + ,11 + ,8 + ,0 + ,10 + ,10 + ,8 + ,26 + ,16 + ,16 + ,1 + ,14 + ,13 + ,10 + ,25 + ,12 + ,10 + ,1 + ,8 + ,12 + ,7 + ,20 + ,13 + ,14 + ,1 + ,10 + ,12 + ,8 + ,26 + ,16 + ,16 + ,0 + ,9 + ,12 + ,7 + ,18 + ,14 + ,13 + ,1 + ,9 + ,13 + ,6 + ,19 + ,15 + ,5 + ,0 + ,15 + ,7 + ,5 + ,21 + ,8 + ,10 + ,1 + ,12 + ,14 + ,7 + ,24 + ,17 + ,15 + ,1 + ,14 + ,9 + ,9 + ,23 + ,13 + ,16 + ,0 + ,11 + ,9 + ,5 + ,31 + ,6 + ,15 + ,0 + ,12 + ,10 + ,8 + ,23 + ,8 + ,8 + ,0 + ,13 + ,10 + ,6 + ,19 + ,14 + ,13 + ,1 + ,14 + ,11 + ,8 + ,26 + ,12 + ,14 + ,1 + ,15 + ,13 + ,8 + ,14 + ,11 + ,12 + ,0 + ,11 + ,13 + ,6 + ,25 + ,16 + ,16 + ,0 + ,9 + ,13 + ,8 + ,27 + ,8 + ,10 + ,1 + ,8 + ,6 + ,6 + ,20 + ,15 + ,15 + ,0 + ,10 + ,13 + ,6 + ,24 + ,16 + ,16 + ,0 + ,10 + ,21 + ,12 + ,32 + ,14 + ,19 + ,1 + ,10 + ,11 + ,5 + ,26 + ,16 + ,14 + ,0 + ,9 + ,9 + ,7 + ,21 + ,9 + ,6 + ,1 + ,13 + ,18 + ,12 + ,21 + ,14 + ,13 + ,0 + ,8 + ,9 + ,11 + ,24 + ,13 + ,7 + ,1 + ,10 + ,15 + ,10 + ,23 + ,15 + ,13 + ,1 + ,11 + ,11 + ,8 + ,24 + ,15 + ,14 + ,1 + ,10 + ,14 + ,9 + ,21 + ,13 + ,13 + ,0 + ,16 + ,14 + ,9 + ,21 + ,11 + ,11 + ,0 + ,11 + ,8 + ,4 + ,13 + ,11 + ,14 + ,1 + ,6 + ,8 + ,11 + ,29 + ,12 + ,14 + ,0 + ,9 + ,11 + ,10 + ,21 + ,7 + ,7 + ,0 + ,20 + ,8 + ,7 + ,19 + ,12 + ,12 + ,1 + ,12 + ,13 + ,9 + ,21 + ,12 + ,11 + ,0 + ,9 + ,13 + ,10 + ,19 + ,16 + ,14 + ,1 + ,14 + ,15 + ,11 + ,22 + ,14 + ,10 + ,1 + ,8 + ,12 + ,7 + ,14 + ,10 + ,13 + ,0 + ,7 + ,12 + ,6 + ,19 + ,12 + ,11 + ,0 + ,11 + ,21 + ,7 + ,29 + ,10 + ,8 + ,1 + ,14 + ,24 + ,20 + ,21 + ,8 + ,4 + ,0 + ,14 + ,12 + ,6 + ,15 + ,11 + ,14 + ,1 + ,9 + ,17 + ,9 + ,25 + ,16 + ,15 + ,1 + ,16 + ,11 + ,6 + ,27 + ,9 + ,11 + ,1 + ,13 + ,15 + ,10 + ,22 + ,14 + ,15 + ,1 + ,13 + ,12 + ,6 + ,19 + ,8 + ,10 + ,1 + ,8 + ,14 + ,10 + ,20 + ,8 + ,9 + ,0 + ,9 + ,12 + ,8 + ,16 + ,11 + ,12 + ,1 + ,11 + ,20 + ,13 + ,24 + ,12 + ,15 + ,0 + ,8 + ,12 + ,9 + ,21 + ,15 + ,12 + ,1 + ,7 + ,11 + ,9 + ,26 + ,16 + ,14 + ,1 + ,11 + ,12 + ,7 + ,17 + ,12 + ,12 + ,1 + ,9 + ,19 + ,10 + ,20 + ,4 + ,6 + ,1 + ,16 + ,16 + ,8 + ,24 + ,10 + ,8 + ,0 + ,13 + ,20 + ,10 + ,26 + ,15 + ,13 + ,1 + ,12 + ,15 + ,10 + ,29 + ,7 + ,13 + ,1 + ,9 + ,14 + ,6 + ,19 + ,19 + ,15) + ,dim=c(7 + ,77) + ,dimnames=list(c('Gen' + ,'DoubtsAboutActions' + ,'ParentalExpectations' + ,'ParentalCritism' + ,'PersonalStandards' + ,'Popularity' + ,'KnowingPeople') + ,1:77)) > y <- array(NA,dim=c(7,77),dimnames=list(c('Gen','DoubtsAboutActions','ParentalExpectations','ParentalCritism','PersonalStandards','Popularity','KnowingPeople'),1:77)) > 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' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Dr. Ian E. Holliday > #To cite this work: Ian E. Holliday, 2009, YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: > #Technical description: > library(party) Loading required package: survival Loading required package: splines Loading required package: grid Loading required package: modeltools Loading required package: stats4 Loading required package: coin Loading required package: mvtnorm Loading required package: zoo Loading required package: sandwich Loading required package: strucchange Loading required package: vcd Loading required package: MASS Loading required package: colorspace > library(Hmisc) Attaching package: 'Hmisc' The following object(s) are masked from 'package:survival': untangle.specials The following object(s) are masked from 'package:base': format.pval, round.POSIXt, trunc.POSIXt, units > par1 <- as.numeric(par1) > par3 <- as.numeric(par3) > x <- data.frame(t(y)) > is.data.frame(x) [1] TRUE > x <- x[!is.na(x[,par1]),] > k <- length(x[1,]) > n <- length(x[,1]) > colnames(x)[par1] [1] "DoubtsAboutActions" > x[,par1] [1] 9 9 9 8 14 14 15 11 14 8 16 11 7 9 16 10 14 11 6 12 14 13 14 10 14 [26] 8 10 9 9 15 12 14 11 12 13 14 15 11 9 8 10 10 10 9 13 8 10 11 10 16 [51] 11 6 9 20 12 9 14 8 7 11 14 14 9 16 13 13 8 9 11 8 7 11 9 16 13 [76] 12 9 > if (par2 == 'kmeans') { + cl <- kmeans(x[,par1], par3) + print(cl) + clm <- matrix(cbind(cl$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]) 6 7 8 9 10 11 12 13 14 15 16 20 2 3 8 14 8 10 5 6 12 3 5 1 > colnames(x) [1] "Gen" "DoubtsAboutActions" "ParentalExpectations" [4] "ParentalCritism" "PersonalStandards" "Popularity" [7] "KnowingPeople" > colnames(x)[par1] [1] "DoubtsAboutActions" > x[,par1] [1] 9 9 9 8 14 14 15 11 14 8 16 11 7 9 16 10 14 11 6 12 14 13 14 10 14 [26] 8 10 9 9 15 12 14 11 12 13 14 15 11 9 8 10 10 10 9 13 8 10 11 10 16 [51] 11 6 9 20 12 9 14 8 7 11 14 14 9 16 13 13 8 9 11 8 7 11 9 16 13 [76] 12 9 > 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/10xct1293204188.tab") + } + } > m Conditional inference tree with 1 terminal nodes Response: DoubtsAboutActions Inputs: Gen, ParentalExpectations, ParentalCritism, PersonalStandards, Popularity, KnowingPeople Number of observations: 77 1)* weights = 77 > postscript(file="/var/www/rcomp/tmp/20xct1293204188.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/3aotw1293204188.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 9 11.22078 -2.2207792 2 9 11.22078 -2.2207792 3 9 11.22078 -2.2207792 4 8 11.22078 -3.2207792 5 14 11.22078 2.7792208 6 14 11.22078 2.7792208 7 15 11.22078 3.7792208 8 11 11.22078 -0.2207792 9 14 11.22078 2.7792208 10 8 11.22078 -3.2207792 11 16 11.22078 4.7792208 12 11 11.22078 -0.2207792 13 7 11.22078 -4.2207792 14 9 11.22078 -2.2207792 15 16 11.22078 4.7792208 16 10 11.22078 -1.2207792 17 14 11.22078 2.7792208 18 11 11.22078 -0.2207792 19 6 11.22078 -5.2207792 20 12 11.22078 0.7792208 21 14 11.22078 2.7792208 22 13 11.22078 1.7792208 23 14 11.22078 2.7792208 24 10 11.22078 -1.2207792 25 14 11.22078 2.7792208 26 8 11.22078 -3.2207792 27 10 11.22078 -1.2207792 28 9 11.22078 -2.2207792 29 9 11.22078 -2.2207792 30 15 11.22078 3.7792208 31 12 11.22078 0.7792208 32 14 11.22078 2.7792208 33 11 11.22078 -0.2207792 34 12 11.22078 0.7792208 35 13 11.22078 1.7792208 36 14 11.22078 2.7792208 37 15 11.22078 3.7792208 38 11 11.22078 -0.2207792 39 9 11.22078 -2.2207792 40 8 11.22078 -3.2207792 41 10 11.22078 -1.2207792 42 10 11.22078 -1.2207792 43 10 11.22078 -1.2207792 44 9 11.22078 -2.2207792 45 13 11.22078 1.7792208 46 8 11.22078 -3.2207792 47 10 11.22078 -1.2207792 48 11 11.22078 -0.2207792 49 10 11.22078 -1.2207792 50 16 11.22078 4.7792208 51 11 11.22078 -0.2207792 52 6 11.22078 -5.2207792 53 9 11.22078 -2.2207792 54 20 11.22078 8.7792208 55 12 11.22078 0.7792208 56 9 11.22078 -2.2207792 57 14 11.22078 2.7792208 58 8 11.22078 -3.2207792 59 7 11.22078 -4.2207792 60 11 11.22078 -0.2207792 61 14 11.22078 2.7792208 62 14 11.22078 2.7792208 63 9 11.22078 -2.2207792 64 16 11.22078 4.7792208 65 13 11.22078 1.7792208 66 13 11.22078 1.7792208 67 8 11.22078 -3.2207792 68 9 11.22078 -2.2207792 69 11 11.22078 -0.2207792 70 8 11.22078 -3.2207792 71 7 11.22078 -4.2207792 72 11 11.22078 -0.2207792 73 9 11.22078 -2.2207792 74 16 11.22078 4.7792208 75 13 11.22078 1.7792208 76 12 11.22078 0.7792208 77 9 11.22078 -2.2207792 > 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/rcomp/tmp/43fsh1293204188.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/56yr51293204188.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/6ay8t1293204188.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/www/rcomp/tmp/7kqpw1293204188.tab") + } > > try(system("convert tmp/20xct1293204188.ps tmp/20xct1293204188.png",intern=TRUE)) character(0) > try(system("convert tmp/3aotw1293204188.ps tmp/3aotw1293204188.png",intern=TRUE)) character(0) > try(system("convert tmp/43fsh1293204188.ps tmp/43fsh1293204188.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.060 0.630 2.676