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(119.992 + ,157.302 + ,74.997 + ,0.00784 + ,0.00007 + ,0.0037 + ,0.00554 + ,0.01109 + ,0.04374 + ,0.426 + ,0.02182 + ,0.0313 + ,0.02971 + ,0.06545 + ,0.02211 + ,21.033 + ,1 + ,0.414783 + ,0.815285 + ,-4.813031 + ,0.266482 + ,2.301442 + ,0.284654 + ,122.4 + ,148.65 + ,113.819 + ,0.00968 + ,0.00008 + ,0.00465 + ,0.00696 + ,0.01394 + ,0.06134 + ,0.626 + ,0.03134 + ,0.04518 + ,0.04368 + ,0.09403 + ,0.01929 + ,19.085 + ,1 + ,0.458359 + ,0.819521 + ,-4.075192 + ,0.33559 + ,2.486855 + ,0.368674 + ,116.682 + ,131.111 + ,111.555 + ,0.0105 + ,0.00009 + ,0.00544 + ,0.00781 + ,0.01633 + ,0.05233 + ,0.482 + ,0.02757 + ,0.03858 + ,0.0359 + ,0.0827 + ,0.01309 + ,20.651 + ,1 + ,0.429895 + ,0.825288 + ,-4.443179 + ,0.311173 + ,2.342259 + ,0.332634 + ,116.676 + ,137.871 + ,111.366 + ,0.00997 + ,0.00009 + ,0.00502 + ,0.00698 + ,0.01505 + ,0.05492 + ,0.517 + ,0.02924 + ,0.04005 + ,0.03772 + ,0.08771 + ,0.01353 + ,20.644 + ,1 + ,0.434969 + ,0.819235 + ,-4.117501 + 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,0.655683 + ,-6.787197 + ,0.158453 + ,2.679772 + ,0.131728 + ,198.764 + ,396.961 + ,74.904 + ,0.0074 + ,0.00004 + ,0.0037 + ,0.0039 + ,0.01109 + ,0.02296 + ,0.241 + ,0.01265 + ,0.01321 + ,0.01588 + ,0.03794 + ,0.07223 + ,19.02 + ,0 + ,0.451221 + ,0.643956 + ,-6.744577 + ,0.207454 + ,2.138608 + ,0.123306 + ,214.289 + ,260.277 + ,77.973 + ,0.00567 + ,0.00003 + ,0.00295 + ,0.00317 + ,0.00885 + ,0.01884 + ,0.19 + ,0.01026 + ,0.01161 + ,0.01373 + ,0.03078 + ,0.04398 + ,21.209 + ,0 + ,0.462803 + ,0.664357 + ,-5.724056 + ,0.190667 + ,2.555477 + ,0.148569) + ,dim=c(23 + ,195) + ,dimnames=list(c('MDVP:Fo(Hz)' + ,'MDVP:Fhi(Hz)' + ,'MDVP:Flo(Hz)' + ,'MDVP:Jitter(%)' + ,'MDVP:Jitter(Abs)' + ,'MDVP:RAP' + ,'MDVP:PPQ' + ,'Jitter:DDP' + ,'MDVP:Shimmer' + ,'MDVP:Shimmer(dB)' + ,'Shimmer:APQ3' + ,'Shimmer:APQ5' + ,'MDVP:APQ' + ,'Shimmer:DDA' + ,'NHR' + ,'HNR' + ,'status' + ,'RPDE' + ,'DFA' + ,'spread1' + ,'spread2' + ,'D2' + ,'PPE') + ,1:195)) > y <- array(NA,dim=c(23,195),dimnames=list(c('MDVP:Fo(Hz)','MDVP:Fhi(Hz)','MDVP:Flo(Hz)','MDVP:Jitter(%)','MDVP:Jitter(Abs)','MDVP:RAP','MDVP:PPQ','Jitter:DDP','MDVP:Shimmer','MDVP:Shimmer(dB)','Shimmer:APQ3','Shimmer:APQ5','MDVP:APQ','Shimmer:DDA','NHR','HNR','status','RPDE','DFA','spread1','spread2','D2','PPE'),1:195)) > 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 = '16' > par4 <- 'no' > par3 <- '3' > par2 <- 'none' > par1 <- '16' > #'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] "HNR" > x[,par1] [1] 21.033 19.085 20.651 20.644 19.649 21.378 24.886 26.892 21.812 21.862 [11] 21.118 21.414 25.703 24.889 24.922 25.175 22.333 20.376 17.280 17.153 [21] 17.536 19.493 22.468 20.422 23.831 22.066 25.908 25.119 25.970 25.678 [31] 26.775 30.940 30.775 32.684 33.047 31.732 23.216 24.951 26.738 26.310 [41] 26.822 26.453 22.736 23.145 25.368 25.032 24.602 26.805 23.162 24.971 [51] 25.135 25.030 24.692 25.429 21.028 20.767 21.422 22.817 22.603 21.660 [61] 25.554 26.138 25.856 25.964 26.415 24.547 19.560 19.979 20.338 21.718 [71] 20.264 18.570 25.742 24.178 25.438 25.197 23.370 25.820 21.875 19.200 [81] 19.055 19.659 20.536 22.244 13.893 16.176 15.924 13.922 14.739 11.866 [91] 11.744 19.664 18.780 20.969 22.219 21.693 22.663 15.338 15.433 12.435 [101] 8.867 15.060 10.489 26.759 28.409 27.421 29.746 26.833 29.928 21.934 [111] 23.239 22.407 21.305 23.671 21.864 23.693 26.356 25.690 25.020 24.581 [121] 24.743 27.166 18.305 18.784 19.196 18.857 18.178 18.330 26.842 26.369 [131] 23.949 26.017 23.389 25.619 17.060 17.707 19.013 16.747 17.366 18.801 [141] 18.540 15.648 18.702 18.687 20.680 20.366 12.359 14.367 12.298 14.989 [151] 12.529 8.441 9.449 21.520 21.824 22.431 22.953 19.075 21.534 19.651 [161] 20.437 19.388 18.954 21.219 18.447 24.078 24.679 21.083 19.269 21.020 [171] 21.528 26.436 26.550 26.547 25.445 26.005 26.143 24.151 24.412 23.683 [181] 23.133 22.866 23.008 23.079 22.085 24.199 23.958 25.023 24.775 19.368 [191] 19.517 19.147 17.883 19.020 21.209 > 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]) 8.441 8.867 9.449 10.489 11.744 11.866 12.298 12.359 12.435 12.529 13.893 1 1 1 1 1 1 1 1 1 1 1 13.922 14.367 14.739 14.989 15.06 15.338 15.433 15.648 15.924 16.176 16.747 1 1 1 1 1 1 1 1 1 1 1 17.06 17.153 17.28 17.366 17.536 17.707 17.883 18.178 18.305 18.33 18.447 1 1 1 1 1 1 1 1 1 1 1 18.54 18.57 18.687 18.702 18.78 18.784 18.801 18.857 18.954 19.013 19.02 1 1 1 1 1 1 1 1 1 1 1 19.055 19.075 19.085 19.147 19.196 19.2 19.269 19.368 19.388 19.493 19.517 1 1 1 1 1 1 1 1 1 1 1 19.56 19.649 19.651 19.659 19.664 19.979 20.264 20.338 20.366 20.376 20.422 1 1 1 1 1 1 1 1 1 1 1 20.437 20.536 20.644 20.651 20.68 20.767 20.969 21.02 21.028 21.033 21.083 1 1 1 1 1 1 1 1 1 1 1 21.118 21.209 21.219 21.305 21.378 21.414 21.422 21.52 21.528 21.534 21.66 1 1 1 1 1 1 1 1 1 1 1 21.693 21.718 21.812 21.824 21.862 21.864 21.875 21.934 22.066 22.085 22.219 1 1 1 1 1 1 1 1 1 1 1 22.244 22.333 22.407 22.431 22.468 22.603 22.663 22.736 22.817 22.866 22.953 1 1 1 1 1 1 1 1 1 1 1 23.008 23.079 23.133 23.145 23.162 23.216 23.239 23.37 23.389 23.671 23.683 1 1 1 1 1 1 1 1 1 1 1 23.693 23.831 23.949 23.958 24.078 24.151 24.178 24.199 24.412 24.547 24.581 1 1 1 1 1 1 1 1 1 1 1 24.602 24.679 24.692 24.743 24.775 24.886 24.889 24.922 24.951 24.971 25.02 1 1 1 1 1 1 1 1 1 1 1 25.023 25.03 25.032 25.119 25.135 25.175 25.197 25.368 25.429 25.438 25.445 1 1 1 1 1 1 1 1 1 1 1 25.554 25.619 25.678 25.69 25.703 25.742 25.82 25.856 25.908 25.964 25.97 1 1 1 1 1 1 1 1 1 1 1 26.005 26.017 26.138 26.143 26.31 26.356 26.369 26.415 26.436 26.453 26.547 1 1 1 1 1 1 1 1 1 1 1 26.55 26.738 26.759 26.775 26.805 26.822 26.833 26.842 26.892 27.166 27.421 1 1 1 1 1 1 1 1 1 1 1 28.409 29.746 29.928 30.775 30.94 31.732 32.684 33.047 1 1 1 1 1 1 1 1 > colnames(x) [1] "MDVP.Fo.Hz." "MDVP.Fhi.Hz." "MDVP.Flo.Hz." "MDVP.Jitter..." [5] "MDVP.Jitter.Abs." "MDVP.RAP" "MDVP.PPQ" "Jitter.DDP" [9] "MDVP.Shimmer" "MDVP.Shimmer.dB." "Shimmer.APQ3" "Shimmer.APQ5" [13] "MDVP.APQ" "Shimmer.DDA" "NHR" "HNR" [17] "status" "RPDE" "DFA" "spread1" [21] "spread2" "D2" "PPE" > colnames(x)[par1] [1] "HNR" > x[,par1] [1] 21.033 19.085 20.651 20.644 19.649 21.378 24.886 26.892 21.812 21.862 [11] 21.118 21.414 25.703 24.889 24.922 25.175 22.333 20.376 17.280 17.153 [21] 17.536 19.493 22.468 20.422 23.831 22.066 25.908 25.119 25.970 25.678 [31] 26.775 30.940 30.775 32.684 33.047 31.732 23.216 24.951 26.738 26.310 [41] 26.822 26.453 22.736 23.145 25.368 25.032 24.602 26.805 23.162 24.971 [51] 25.135 25.030 24.692 25.429 21.028 20.767 21.422 22.817 22.603 21.660 [61] 25.554 26.138 25.856 25.964 26.415 24.547 19.560 19.979 20.338 21.718 [71] 20.264 18.570 25.742 24.178 25.438 25.197 23.370 25.820 21.875 19.200 [81] 19.055 19.659 20.536 22.244 13.893 16.176 15.924 13.922 14.739 11.866 [91] 11.744 19.664 18.780 20.969 22.219 21.693 22.663 15.338 15.433 12.435 [101] 8.867 15.060 10.489 26.759 28.409 27.421 29.746 26.833 29.928 21.934 [111] 23.239 22.407 21.305 23.671 21.864 23.693 26.356 25.690 25.020 24.581 [121] 24.743 27.166 18.305 18.784 19.196 18.857 18.178 18.330 26.842 26.369 [131] 23.949 26.017 23.389 25.619 17.060 17.707 19.013 16.747 17.366 18.801 [141] 18.540 15.648 18.702 18.687 20.680 20.366 12.359 14.367 12.298 14.989 [151] 12.529 8.441 9.449 21.520 21.824 22.431 22.953 19.075 21.534 19.651 [161] 20.437 19.388 18.954 21.219 18.447 24.078 24.679 21.083 19.269 21.020 [171] 21.528 26.436 26.550 26.547 25.445 26.005 26.143 24.151 24.412 23.683 [181] 23.133 22.866 23.008 23.079 22.085 24.199 23.958 25.023 24.775 19.368 [191] 19.517 19.147 17.883 19.020 21.209 > if (par2 == 'none') { + m <- ctree(as.formula(paste(colnames(x)[par1],' ~ .',sep='')),data = x) + } > > #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/fisher/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/fisher/rcomp/tmp/1b08n1386010434.tab") + } + } > m Conditional inference tree with 10 terminal nodes Response: HNR Inputs: MDVP.Fo.Hz., MDVP.Fhi.Hz., MDVP.Flo.Hz., MDVP.Jitter..., MDVP.Jitter.Abs., MDVP.RAP, MDVP.PPQ, Jitter.DDP, MDVP.Shimmer, MDVP.Shimmer.dB., Shimmer.APQ3, Shimmer.APQ5, MDVP.APQ, Shimmer.DDA, NHR, status, RPDE, DFA, spread1, spread2, D2, PPE Number of observations: 195 1) MDVP.Shimmer <= 0.02498; criterion = 1, statistic = 135.349 2) MDVP.PPQ <= 0.00138; criterion = 1, statistic = 53.838 3)* weights = 16 2) MDVP.PPQ > 0.00138 4) MDVP.PPQ <= 0.00314; criterion = 1, statistic = 40.695 5) Shimmer.APQ3 <= 0.00942; criterion = 0.991, statistic = 12.39 6)* weights = 48 5) Shimmer.APQ3 > 0.00942 7) NHR <= 0.00871; criterion = 0.998, statistic = 15.288 8)* weights = 17 7) NHR > 0.00871 9)* weights = 8 4) MDVP.PPQ > 0.00314 10)* weights = 18 1) MDVP.Shimmer > 0.02498 11) NHR <= 0.04882; criterion = 1, statistic = 54.523 12) NHR <= 0.01493; criterion = 1, statistic = 22.999 13) NHR <= 0.00969; criterion = 0.985, statistic = 11.485 14)* weights = 7 13) NHR > 0.00969 15)* weights = 14 12) NHR > 0.01493 16) Shimmer.APQ5 <= 0.0313; criterion = 0.966, statistic = 10.015 17)* weights = 41 16) Shimmer.APQ5 > 0.0313 18)* weights = 9 11) NHR > 0.04882 19)* weights = 17 > postscript(file="/var/fisher/rcomp/tmp/2fjgb1386010434.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/fisher/rcomp/tmp/37ds51386010434.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 21.033 19.34000 1.69300000 2 19.085 17.12222 1.96277778 3 20.651 21.24679 -0.59578571 4 20.644 21.24679 -0.60278571 5 19.649 17.12222 2.52677778 6 21.378 21.24679 0.13121429 7 24.886 25.33229 -0.44629167 8 26.892 25.33229 1.55970833 9 21.812 21.41156 0.40044444 10 21.862 21.24679 0.61521429 11 21.118 21.41156 -0.29355556 12 21.414 21.24679 0.16721429 13 25.703 25.33229 0.37070833 14 24.889 25.33229 -0.44329167 15 24.922 24.59682 0.32517647 16 25.175 25.33229 -0.15729167 17 22.333 21.24725 1.08575000 18 20.376 19.34000 1.03600000 19 17.280 17.12222 0.15777778 20 17.153 19.34000 -2.18700000 21 17.536 19.34000 -1.80400000 22 19.493 19.34000 0.15300000 23 22.468 21.24679 1.22121429 24 20.422 19.34000 1.08200000 25 23.831 21.41156 2.41944444 26 22.066 19.34000 2.72600000 27 25.908 25.33229 0.57570833 28 25.119 25.33229 -0.21329167 29 25.970 25.33229 0.63770833 30 25.678 25.33229 0.34570833 31 26.775 25.33229 1.44270833 32 30.940 28.61325 2.32675000 33 30.775 28.61325 2.16175000 34 32.684 28.61325 4.07075000 35 33.047 28.61325 4.43375000 36 31.732 28.61325 3.11875000 37 23.216 24.59682 -1.38082353 38 24.951 25.33229 -0.38129167 39 26.738 25.33229 1.40570833 40 26.310 25.33229 0.97770833 41 26.822 25.33229 1.48970833 42 26.453 25.33229 1.12070833 43 22.736 24.59682 -1.86082353 44 23.145 24.59682 -1.45182353 45 25.368 28.61325 -3.24525000 46 25.032 25.33229 -0.30029167 47 24.602 25.33229 -0.73029167 48 26.805 28.61325 -1.80825000 49 23.162 25.33229 -2.17029167 50 24.971 25.33229 -0.36129167 51 25.135 24.59682 0.53817647 52 25.030 24.59682 0.43317647 53 24.692 24.59682 0.09517647 54 25.429 24.59682 0.83217647 55 21.028 21.24679 -0.21878571 56 20.767 21.24679 -0.47978571 57 21.422 22.47771 -1.05571429 58 22.817 21.41156 1.40544444 59 22.603 22.47771 0.12528571 60 21.660 21.24679 0.41321429 61 25.554 24.59682 0.95717647 62 26.138 24.59682 1.54117647 63 25.856 25.33229 0.52370833 64 25.964 25.33229 0.63170833 65 26.415 28.61325 -2.19825000 66 24.547 25.33229 -0.78529167 67 19.560 19.34000 0.22000000 68 19.979 19.34000 0.63900000 69 20.338 19.34000 0.99800000 70 21.718 19.34000 2.37800000 71 20.264 19.34000 0.92400000 72 18.570 19.34000 -0.77000000 73 25.742 24.59682 1.14517647 74 24.178 21.41156 2.76644444 75 25.438 24.59682 0.84117647 76 25.197 24.59682 0.60017647 77 23.370 22.47771 0.89228571 78 25.820 24.59682 1.22317647 79 21.875 21.24679 0.62821429 80 19.200 19.34000 -0.14000000 81 19.055 19.34000 -0.28500000 82 19.659 19.34000 0.31900000 83 20.536 21.41156 -0.87555556 84 22.244 21.24725 0.99675000 85 13.893 12.86071 1.03229412 86 16.176 19.34000 -3.16400000 87 15.924 19.34000 -3.41600000 88 13.922 17.12222 -3.20022222 89 14.739 17.12222 -2.38322222 90 11.866 12.86071 -0.99470588 91 11.744 12.86071 -1.11670588 92 19.664 17.12222 2.54177778 93 18.780 19.34000 -0.56000000 94 20.969 21.24679 -0.27778571 95 22.219 22.47771 -0.25871429 96 21.693 21.24679 0.44621429 97 22.663 22.47771 0.18528571 98 15.338 12.86071 2.47729412 99 15.433 12.86071 2.57229412 100 12.435 12.86071 -0.42570588 101 8.867 12.86071 -3.99370588 102 15.060 12.86071 2.19929412 103 10.489 12.86071 -2.37170588 104 26.759 28.61325 -1.85425000 105 28.409 28.61325 -0.20425000 106 27.421 28.61325 -1.19225000 107 29.746 28.61325 1.13275000 108 26.833 28.61325 -1.78025000 109 29.928 28.61325 1.31475000 110 21.934 22.47771 -0.54371429 111 23.239 21.41156 1.82744444 112 22.407 21.41156 0.99544444 113 21.305 21.41156 -0.10655556 114 23.671 25.33229 -1.66129167 115 21.864 21.24725 0.61675000 116 23.693 21.41156 2.28144444 117 26.356 25.33229 1.02370833 118 25.690 25.33229 0.35770833 119 25.020 25.33229 -0.31229167 120 24.581 28.61325 -4.03225000 121 24.743 25.33229 -0.58929167 122 27.166 25.33229 1.83370833 123 18.305 19.34000 -1.03500000 124 18.784 19.34000 -0.55600000 125 19.196 21.41156 -2.21555556 126 18.857 21.41156 -2.55455556 127 18.178 19.34000 -1.16200000 128 18.330 19.34000 -1.01000000 129 26.842 25.33229 1.50970833 130 26.369 28.61325 -2.24425000 131 23.949 25.33229 -1.38329167 132 26.017 25.33229 0.68470833 133 23.389 25.33229 -1.94329167 134 25.619 25.33229 0.28670833 135 17.060 19.34000 -2.28000000 136 17.707 19.34000 -1.63300000 137 19.013 19.34000 -0.32700000 138 16.747 17.12222 -0.37522222 139 17.366 17.12222 0.24377778 140 18.801 19.34000 -0.53900000 141 18.540 19.34000 -0.80000000 142 15.648 17.12222 -1.47422222 143 18.702 19.34000 -0.63800000 144 18.687 21.24725 -2.56025000 145 20.680 21.24679 -0.56678571 146 20.366 21.24679 -0.88078571 147 12.359 12.86071 -0.50170588 148 14.367 12.86071 1.50629412 149 12.298 12.86071 -0.56270588 150 14.989 12.86071 2.12829412 151 12.529 12.86071 -0.33170588 152 8.441 12.86071 -4.41970588 153 9.449 12.86071 -3.41170588 154 21.520 19.34000 2.18000000 155 21.824 19.34000 2.48400000 156 22.431 19.34000 3.09100000 157 22.953 21.41156 1.54144444 158 19.075 12.86071 6.21429412 159 21.534 19.34000 2.19400000 160 19.651 19.34000 0.31100000 161 20.437 19.34000 1.09700000 162 19.388 19.34000 0.04800000 163 18.954 19.34000 -0.38600000 164 21.219 21.24725 -0.02825000 165 18.447 19.34000 -0.89300000 166 24.078 24.59682 -0.51882353 167 24.679 25.33229 -0.65329167 168 21.083 21.24725 -0.16425000 169 19.269 21.41156 -2.14255556 170 21.020 21.24725 -0.22725000 171 21.528 21.24725 0.28075000 172 26.436 25.33229 1.10370833 173 26.550 25.33229 1.21770833 174 26.547 25.33229 1.21470833 175 25.445 25.33229 0.11270833 176 26.005 25.33229 0.67270833 177 26.143 25.33229 0.81070833 178 24.151 25.33229 -1.18129167 179 24.412 25.33229 -0.92029167 180 23.683 25.33229 -1.64929167 181 23.133 22.47771 0.65528571 182 22.866 24.59682 -1.73082353 183 23.008 24.59682 -1.58882353 184 23.079 25.33229 -2.25329167 185 22.085 21.41156 0.67344444 186 24.199 25.33229 -1.13329167 187 23.958 25.33229 -1.37429167 188 25.023 25.33229 -0.30929167 189 24.775 25.33229 -0.55729167 190 19.368 19.34000 0.02800000 191 19.517 19.34000 0.17700000 192 19.147 19.34000 -0.19300000 193 17.883 21.41156 -3.52855556 194 19.020 21.41156 -2.39155556 195 21.209 21.41156 -0.20255556 > if (par2 != 'none') { + print(cbind(as.factor(x[,par1]),predict(m))) + myt <- table(as.factor(x[,par1]),predict(m)) + print(myt) + } > postscript(file="/var/fisher/rcomp/tmp/4mqmo1386010434.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/fisher/rcomp/tmp/5m8nr1386010434.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/fisher/rcomp/tmp/6choa1386010434.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/fisher/rcomp/tmp/7vpgk1386010434.tab") + } > > try(system("convert tmp/2fjgb1386010434.ps tmp/2fjgb1386010434.png",intern=TRUE)) character(0) > try(system("convert tmp/37ds51386010434.ps tmp/37ds51386010434.png",intern=TRUE)) character(0) > try(system("convert tmp/4mqmo1386010434.ps tmp/4mqmo1386010434.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 21.949 2.512 24.445