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 + ,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 + ,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 + ,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 + ,0.334147 + ,2.405554 + ,116.014 + 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+ ,230.978 + ,94.261 + ,0.00459 + ,0.00003 + ,0.00263 + ,0.00259 + ,0.0079 + ,0.04087 + ,0.405 + ,0.02336 + ,0.02498 + ,0.02745 + ,0.07008 + ,0.02764 + ,19.517 + ,0 + ,0.448439 + ,0.657899 + ,-6.538586 + ,0.121952 + ,2.657476 + ,209.516 + ,253.017 + ,89.488 + ,0.00564 + ,0.00003 + ,0.00331 + ,0.00292 + ,0.00994 + ,0.02751 + ,0.263 + ,0.01604 + ,0.01657 + ,0.01879 + ,0.04812 + ,0.0181 + ,19.147 + ,0 + ,0.431674 + ,0.683244 + ,-6.195325 + ,0.129303 + ,2.784312 + ,174.688 + ,240.005 + ,74.287 + ,0.0136 + ,0.00008 + ,0.00624 + ,0.00564 + ,0.01873 + ,0.02308 + ,0.256 + ,0.01268 + ,0.01365 + ,0.01667 + ,0.03804 + ,0.10715 + ,17.883 + ,0 + ,0.407567 + ,0.655683 + ,-6.787197 + ,0.158453 + ,2.679772 + ,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 + ,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) + ,dim=c(22 + ,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') + ,1:195)) > y <- array(NA,dim=c(22,195),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'),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 = '1' > par4 <- 'no' > par3 <- '3' > par2 <- 'none' > par1 <- '1' > #'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] "MDVP.Fo.Hz." > x[,par1] [1] 119.992 122.400 116.682 116.676 116.014 120.552 120.267 107.332 95.730 [10] 95.056 88.333 91.904 136.926 139.173 152.845 142.167 144.188 168.778 [19] 153.046 156.405 153.848 153.880 167.930 173.917 163.656 104.400 171.041 [28] 146.845 155.358 162.568 197.076 199.228 198.383 202.266 203.184 201.464 [37] 177.876 176.170 180.198 187.733 186.163 184.055 237.226 241.404 243.439 [46] 242.852 245.510 252.455 122.188 122.964 124.445 126.344 128.001 129.336 [55] 108.807 109.860 110.417 117.274 116.879 114.847 209.144 223.365 222.236 [64] 228.832 229.401 228.969 140.341 136.969 143.533 148.090 142.729 136.358 [73] 120.080 112.014 110.793 110.707 112.876 110.568 95.385 100.770 96.106 [82] 95.605 100.960 98.804 176.858 180.978 178.222 176.281 173.898 179.711 [91] 166.605 151.955 148.272 152.125 157.821 157.447 159.116 125.036 125.791 [100] 126.512 125.641 128.451 139.224 150.258 154.003 149.689 155.078 151.884 [109] 151.989 193.030 200.714 208.519 204.664 210.141 206.327 151.872 158.219 [118] 170.756 178.285 217.116 128.940 176.824 138.190 182.018 156.239 145.174 [127] 138.145 166.888 119.031 120.078 120.289 120.256 119.056 118.747 106.516 [136] 110.453 113.400 113.166 112.239 116.150 170.368 208.083 198.458 202.805 [145] 202.544 223.361 169.774 183.520 188.620 202.632 186.695 192.818 198.116 [154] 121.345 119.100 117.870 122.336 117.963 126.144 127.930 114.238 115.322 [163] 114.554 112.150 102.273 236.200 237.323 260.105 197.569 240.301 244.990 [172] 112.547 110.739 113.715 117.004 115.380 116.388 151.737 148.790 148.143 [181] 150.440 148.462 149.818 117.226 116.848 116.286 116.556 116.342 114.563 [190] 201.774 174.188 209.516 174.688 198.764 214.289 > 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]) 88.333 91.904 95.056 95.385 95.605 95.73 96.106 98.804 100.77 100.96 1 1 1 1 1 1 1 1 1 1 102.273 104.4 106.516 107.332 108.807 109.86 110.417 110.453 110.568 110.707 1 1 1 1 1 1 1 1 1 1 110.739 110.793 112.014 112.15 112.239 112.547 112.876 113.166 113.4 113.715 1 1 1 1 1 1 1 1 1 1 114.238 114.554 114.563 114.847 115.322 115.38 116.014 116.15 116.286 116.342 1 1 1 1 1 1 1 1 1 1 116.388 116.556 116.676 116.682 116.848 116.879 117.004 117.226 117.274 117.87 1 1 1 1 1 1 1 1 1 1 117.963 118.747 119.031 119.056 119.1 119.992 120.078 120.08 120.256 120.267 1 1 1 1 1 1 1 1 1 1 120.289 120.552 121.345 122.188 122.336 122.4 122.964 124.445 125.036 125.641 1 1 1 1 1 1 1 1 1 1 125.791 126.144 126.344 126.512 127.93 128.001 128.451 128.94 129.336 136.358 1 1 1 1 1 1 1 1 1 1 136.926 136.969 138.145 138.19 139.173 139.224 140.341 142.167 142.729 143.533 1 1 1 1 1 1 1 1 1 1 144.188 145.174 146.845 148.09 148.143 148.272 148.462 148.79 149.689 149.818 1 1 1 1 1 1 1 1 1 1 150.258 150.44 151.737 151.872 151.884 151.955 151.989 152.125 152.845 153.046 1 1 1 1 1 1 1 1 1 1 153.848 153.88 154.003 155.078 155.358 156.239 156.405 157.447 157.821 158.219 1 1 1 1 1 1 1 1 1 1 159.116 162.568 163.656 166.605 166.888 167.93 168.778 169.774 170.368 170.756 1 1 1 1 1 1 1 1 1 1 171.041 173.898 173.917 174.188 174.688 176.17 176.281 176.824 176.858 177.876 1 1 1 1 1 1 1 1 1 1 178.222 178.285 179.711 180.198 180.978 182.018 183.52 184.055 186.163 186.695 1 1 1 1 1 1 1 1 1 1 187.733 188.62 192.818 193.03 197.076 197.569 198.116 198.383 198.458 198.764 1 1 1 1 1 1 1 1 1 1 199.228 200.714 201.464 201.774 202.266 202.544 202.632 202.805 203.184 204.664 1 1 1 1 1 1 1 1 1 1 206.327 208.083 208.519 209.144 209.516 210.141 214.289 217.116 222.236 223.361 1 1 1 1 1 1 1 1 1 1 223.365 228.832 228.969 229.401 236.2 237.226 237.323 240.301 241.404 242.852 1 1 1 1 1 1 1 1 1 1 243.439 244.99 245.51 252.455 260.105 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" > colnames(x)[par1] [1] "MDVP.Fo.Hz." > x[,par1] [1] 119.992 122.400 116.682 116.676 116.014 120.552 120.267 107.332 95.730 [10] 95.056 88.333 91.904 136.926 139.173 152.845 142.167 144.188 168.778 [19] 153.046 156.405 153.848 153.880 167.930 173.917 163.656 104.400 171.041 [28] 146.845 155.358 162.568 197.076 199.228 198.383 202.266 203.184 201.464 [37] 177.876 176.170 180.198 187.733 186.163 184.055 237.226 241.404 243.439 [46] 242.852 245.510 252.455 122.188 122.964 124.445 126.344 128.001 129.336 [55] 108.807 109.860 110.417 117.274 116.879 114.847 209.144 223.365 222.236 [64] 228.832 229.401 228.969 140.341 136.969 143.533 148.090 142.729 136.358 [73] 120.080 112.014 110.793 110.707 112.876 110.568 95.385 100.770 96.106 [82] 95.605 100.960 98.804 176.858 180.978 178.222 176.281 173.898 179.711 [91] 166.605 151.955 148.272 152.125 157.821 157.447 159.116 125.036 125.791 [100] 126.512 125.641 128.451 139.224 150.258 154.003 149.689 155.078 151.884 [109] 151.989 193.030 200.714 208.519 204.664 210.141 206.327 151.872 158.219 [118] 170.756 178.285 217.116 128.940 176.824 138.190 182.018 156.239 145.174 [127] 138.145 166.888 119.031 120.078 120.289 120.256 119.056 118.747 106.516 [136] 110.453 113.400 113.166 112.239 116.150 170.368 208.083 198.458 202.805 [145] 202.544 223.361 169.774 183.520 188.620 202.632 186.695 192.818 198.116 [154] 121.345 119.100 117.870 122.336 117.963 126.144 127.930 114.238 115.322 [163] 114.554 112.150 102.273 236.200 237.323 260.105 197.569 240.301 244.990 [172] 112.547 110.739 113.715 117.004 115.380 116.388 151.737 148.790 148.143 [181] 150.440 148.462 149.818 117.226 116.848 116.286 116.556 116.342 114.563 [190] 201.774 174.188 209.516 174.688 198.764 214.289 > 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/1uno61386523081.tab") + } + } > m Conditional inference tree with 9 terminal nodes Response: MDVP.Fo.Hz. Inputs: 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 Number of observations: 195 1) MDVP.Flo.Hz. <= 147.226; criterion = 1, statistic = 69.038 2) DFA <= 0.745957; criterion = 1, statistic = 35.685 3) RPDE <= 0.470422; criterion = 1, statistic = 18.761 4) status <= 0; criterion = 0.999, statistic = 17.787 5)* weights = 10 4) status > 0 6)* weights = 27 3) RPDE > 0.470422 7)* weights = 73 2) DFA > 0.745957 8) MDVP.Flo.Hz. <= 117.495; criterion = 1, statistic = 37.702 9) MDVP.Flo.Hz. <= 95.628; criterion = 1, statistic = 22.855 10)* weights = 11 9) MDVP.Flo.Hz. > 95.628 11) MDVP.Flo.Hz. <= 107.316; criterion = 0.998, statistic = 15.45 12)* weights = 14 11) MDVP.Flo.Hz. > 107.316 13)* weights = 14 8) MDVP.Flo.Hz. > 117.495 14)* weights = 7 1) MDVP.Flo.Hz. > 147.226 15) MDVP.Flo.Hz. <= 199.02; criterion = 1, statistic = 29.559 16)* weights = 27 15) MDVP.Flo.Hz. > 199.02 17)* weights = 12 > postscript(file="/var/fisher/rcomp/tmp/2i16u1386523081.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/3j30o1386523081.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 1 119.992 98.05864 21.9333636 2 122.400 119.45321 2.9467857 3 116.682 119.45321 -2.7712143 4 116.676 119.45321 -2.7772143 5 116.014 119.45321 -3.4392143 6 120.552 119.45321 1.0987857 7 120.267 119.45321 0.8137857 8 107.332 111.58757 -4.2555714 9 95.730 98.05864 -2.3286364 10 95.056 98.05864 -3.0026364 11 88.333 98.05864 -9.7256364 12 91.904 98.05864 -6.1546364 13 136.926 156.80126 -19.8752593 14 139.173 156.80126 -17.6282593 15 152.845 141.82544 11.0195616 16 142.167 141.82544 0.3415616 17 144.188 141.82544 2.3625616 18 168.778 141.82544 26.9525616 19 153.046 141.82544 11.2205616 20 156.405 141.82544 14.5795616 21 153.848 141.82544 12.0225616 22 153.880 141.82544 12.0545616 23 167.930 141.82544 26.1045616 24 173.917 141.82544 32.0915616 25 163.656 156.80126 6.8547407 26 104.400 141.82544 -37.4254384 27 171.041 156.80126 14.2397407 28 146.845 156.80126 -9.9562593 29 155.358 141.82544 13.5325616 30 162.568 156.80126 5.7667407 31 197.076 193.74730 3.3287037 32 199.228 193.74730 5.4807037 33 198.383 193.74730 4.6357037 34 202.266 193.74730 8.5187037 35 203.184 193.74730 9.4367037 36 201.464 193.74730 7.7167037 37 177.876 193.74730 -15.8712963 38 176.170 193.74730 -17.5772963 39 180.198 193.74730 -13.5492963 40 187.733 193.74730 -6.0142963 41 186.163 193.74730 -7.5842963 42 184.055 193.74730 -9.6922963 43 237.226 239.46825 -2.2422500 44 241.404 239.46825 1.9357500 45 243.439 239.46825 3.9707500 46 242.852 239.46825 3.3837500 47 245.510 239.46825 6.0417500 48 252.455 193.74730 58.7077037 49 122.188 141.82544 -19.6374384 50 122.964 119.45321 3.5107857 51 124.445 119.45321 4.9917857 52 126.344 119.45321 6.8907857 53 128.001 143.28429 -15.2832857 54 129.336 143.28429 -13.9482857 55 108.807 111.58757 -2.7805714 56 109.860 111.58757 -1.7275714 57 110.417 111.58757 -1.1705714 58 117.274 119.45321 -2.1792143 59 116.879 119.45321 -2.5742143 60 114.847 111.58757 3.2594286 61 209.144 206.66920 2.4748000 62 223.365 206.66920 16.6958000 63 222.236 239.46825 -17.2322500 64 228.832 239.46825 -10.6362500 65 229.401 239.46825 -10.0672500 66 228.969 206.66920 22.2998000 67 140.341 156.80126 -16.4602593 68 136.969 141.82544 -4.8564384 69 143.533 141.82544 1.7075616 70 148.090 141.82544 6.2645616 71 142.729 141.82544 0.9035616 72 136.358 141.82544 -5.4674384 73 120.080 119.45321 0.6267857 74 112.014 111.58757 0.4264286 75 110.793 111.58757 -0.7945714 76 110.707 111.58757 -0.8805714 77 112.876 111.58757 1.2884286 78 110.568 111.58757 -1.0195714 79 95.385 98.05864 -2.6736364 80 100.770 98.05864 2.7113636 81 96.106 98.05864 -1.9526364 82 95.605 98.05864 -2.4536364 83 100.960 98.05864 2.9013636 84 98.804 98.05864 0.7453636 85 176.858 141.82544 35.0325616 86 180.978 193.74730 -12.7692963 87 178.222 141.82544 36.3965616 88 176.281 141.82544 34.4555616 89 173.898 141.82544 32.0725616 90 179.711 141.82544 37.8855616 91 166.605 141.82544 24.7795616 92 151.955 141.82544 10.1295616 93 148.272 156.80126 -8.5292593 94 152.125 156.80126 -4.6762593 95 157.821 141.82544 15.9955616 96 157.447 193.74730 -36.3002963 97 159.116 156.80126 2.3147407 98 125.036 141.82544 -16.7894384 99 125.791 141.82544 -16.0344384 100 126.512 141.82544 -15.3134384 101 125.641 141.82544 -16.1844384 102 128.451 141.82544 -13.3744384 103 139.224 141.82544 -2.6014384 104 150.258 156.80126 -6.5432593 105 154.003 156.80126 -2.7982593 106 149.689 156.80126 -7.1122593 107 155.078 156.80126 -1.7232593 108 151.884 156.80126 -4.9172593 109 151.989 156.80126 -4.8122593 110 193.030 141.82544 51.2045616 111 200.714 156.80126 43.9127407 112 208.519 193.74730 14.7717037 113 204.664 193.74730 10.9167037 114 210.141 193.74730 16.3937037 115 206.327 156.80126 49.5257407 116 151.872 156.80126 -4.9292593 117 158.219 156.80126 1.4177407 118 170.756 141.82544 28.9305616 119 178.285 156.80126 21.4837407 120 217.116 156.80126 60.3147407 121 128.940 141.82544 -12.8854384 122 176.824 156.80126 20.0227407 123 138.190 141.82544 -3.6354384 124 182.018 141.82544 40.1925616 125 156.239 141.82544 14.4135616 126 145.174 141.82544 3.3485616 127 138.145 141.82544 -3.6804384 128 166.888 141.82544 25.0625616 129 119.031 156.80126 -37.7702593 130 120.078 141.82544 -21.7474384 131 120.289 156.80126 -36.5122593 132 120.256 156.80126 -36.5452593 133 119.056 141.82544 -22.7694384 134 118.747 141.82544 -23.0784384 135 106.516 141.82544 -35.3094384 136 110.453 141.82544 -31.3724384 137 113.400 141.82544 -28.4254384 138 113.166 141.82544 -28.6594384 139 112.239 141.82544 -29.5864384 140 116.150 141.82544 -25.6754384 141 170.368 141.82544 28.5425616 142 208.083 141.82544 66.2575616 143 198.458 193.74730 4.7107037 144 202.805 141.82544 60.9795616 145 202.544 193.74730 8.7967037 146 223.361 141.82544 81.5355616 147 169.774 193.74730 -23.9732963 148 183.520 193.74730 -10.2272963 149 188.620 193.74730 -5.1272963 150 202.632 193.74730 8.8847037 151 186.695 193.74730 -7.0522963 152 192.818 193.74730 -0.9292963 153 198.116 193.74730 4.3687037 154 121.345 141.82544 -20.4804384 155 119.100 141.82544 -22.7254384 156 117.870 141.82544 -23.9554384 157 122.336 141.82544 -19.4894384 158 117.963 141.82544 -23.8624384 159 126.144 141.82544 -15.6814384 160 127.930 141.82544 -13.8954384 161 114.238 141.82544 -27.5874384 162 115.322 141.82544 -26.5034384 163 114.554 141.82544 -27.2714384 164 112.150 141.82544 -29.6754384 165 102.273 141.82544 -39.5524384 166 236.200 206.66920 29.5308000 167 237.323 239.46825 -2.1452500 168 260.105 239.46825 20.6367500 169 197.569 206.66920 -9.1002000 170 240.301 239.46825 0.8327500 171 244.990 239.46825 5.5217500 172 112.547 111.58757 0.9594286 173 110.739 111.58757 -0.8485714 174 113.715 111.58757 2.1274286 175 117.004 111.58757 5.4164286 176 115.380 119.45321 -4.0732143 177 116.388 119.45321 -3.0652143 178 151.737 156.80126 -5.0642593 179 148.790 143.28429 5.5057143 180 148.143 143.28429 4.8587143 181 150.440 143.28429 7.1557143 182 148.462 143.28429 5.1777143 183 149.818 143.28429 6.5337143 184 117.226 141.82544 -24.5994384 185 116.848 141.82544 -24.9774384 186 116.286 141.82544 -25.5394384 187 116.556 141.82544 -25.2694384 188 116.342 141.82544 -25.4834384 189 114.563 141.82544 -27.2624384 190 201.774 141.82544 59.9485616 191 174.188 206.66920 -32.4812000 192 209.516 206.66920 2.8468000 193 174.688 206.66920 -31.9812000 194 198.764 206.66920 -7.9052000 195 214.289 206.66920 7.6198000 > 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/4ln7c1386523081.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/5r8p41386523081.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/6f68b1386523081.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/7cmg71386523081.tab") + } > > try(system("convert tmp/2i16u1386523081.ps tmp/2i16u1386523081.png",intern=TRUE)) character(0) > try(system("convert tmp/3j30o1386523081.ps tmp/3j30o1386523081.png",intern=TRUE)) character(0) > try(system("convert tmp/4ln7c1386523081.ps tmp/4ln7c1386523081.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 25.274 2.956 28.292