R version 2.12.0 (2010-10-15) Copyright (C) 2010 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: i486-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. 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+ ,8 + ,318 + ,150 + ,4457 + ,14 + ,8 + ,400 + ,175 + ,4464 + ,12 + ,8 + ,400 + ,150 + ,4464 + ,12 + ,8 + ,318 + ,150 + ,4498 + ,15 + ,8 + ,350 + ,180 + ,4499 + ,13 + ,8 + ,350 + ,155 + ,4502 + ,14 + ,8 + ,360 + ,215 + ,4615 + ,14 + ,8 + ,429 + ,208 + ,4633 + ,11 + ,8 + ,302 + ,140 + ,4638 + ,16 + ,8 + ,360 + ,170 + ,4654 + ,13 + ,8 + ,351 + ,148 + ,4657 + ,14 + ,8 + ,400 + ,170 + ,4668 + ,12 + ,8 + ,350 + ,150 + ,4699 + ,15 + ,8 + ,304 + ,193 + ,4732 + ,19 + ,8 + ,440 + ,215 + ,4735 + ,11 + ,8 + ,400 + ,170 + ,4746 + ,12 + ,8 + ,400 + ,167 + ,4906 + ,13 + ,8 + ,455 + ,225 + ,4951 + ,11 + ,8 + ,429 + ,198 + ,4952 + ,12 + ,8 + ,383 + ,180 + ,4955 + ,12 + ,8 + ,400 + ,150 + ,4997 + ,14 + ,8 + ,400 + ,175 + ,5140 + ,12) + ,dim=c(5 + ,632) + ,dimnames=list(c('cylinders' + ,'engine.displacement' + ,'horsepower' + ,'weight' + ,'acceleration ') + ,1:632)) > y <- array(NA,dim=c(5,632),dimnames=list(c('cylinders','engine.displacement','horsepower','weight','acceleration '),1:632)) > for (i in 1:dim(x)[1]) + { + for (j in 1:dim(x)[2]) + { + y[i,j] <- as.numeric(x[i,j]) + } + } > par2 = 'Minimum CV Error plus 1 SD' > par1 = '5' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: > #Technical description: > library(rpart) > library(partykit) Loading required package: grid Loading required package: mvtnorm > par1 <- as.numeric(par1) > autoprune <- function ( tree, method='Minimum CV'){ + xerr <- tree$cptable[,'xerror'] + cpmin.id <- which.min(xerr) + if (method == 'Minimum CV Error plus 1 SD'){ + xstd <- tree$cptable[,'xstd'] + errt <- xerr[cpmin.id] + xstd[cpmin.id] + cpSE1.min <- which.min( errt < xerr ) + mycp <- (tree$cptable[,'CP'])[cpSE1.min] + } + if (method == 'Minimum CV') { + mycp <- (tree$cptable[,'CP'])[cpmin.id] + } + return (mycp) + } > conf.multi.mat <- function(true, new) + { + if ( all( is.na(match( levels(true),levels(new) ) )) ) + stop ( 'conflict of vector levels') + multi.t <- list() + for (mylev in levels(true) ) { + true.tmp <- true + new.tmp <- new + left.lev <- levels (true.tmp)[- match(mylev,levels(true) ) ] + levels(true.tmp) <- list ( mylev = mylev, all = left.lev ) + levels(new.tmp) <- list ( mylev = mylev, all = left.lev ) + curr.t <- conf.mat ( true.tmp , new.tmp ) + multi.t[[mylev]] <- curr.t + multi.t[[mylev]]$precision <- + round( curr.t$conf[1,1] / sum( curr.t$conf[1,] ), 2 ) + } + return (multi.t) + } > x <- t(y) > k <- length(x[1,]) > n <- length(x[,1]) > x1 <- cbind(x[,par1], x[,1:k!=par1]) > mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1]) > colnames(x1) <- mycolnames #colnames(x)[par1] > m <- rpart(as.data.frame(x1)) > par2 [1] "Minimum CV Error plus 1 SD" > if (par2 != 'No') { + mincp <- autoprune(m,method=par2) + print(mincp) + m <- prune(m,cp=mincp) + } 11 0.01058127 > m$cptable CP nsplit rel error xerror xstd 1 0.38865585 0 1.0000000 1.0039028 0.06323337 2 0.07041450 1 0.6113441 0.6159901 0.04214183 3 0.05071297 2 0.5409296 0.5869282 0.03885275 4 0.03824908 3 0.4902167 0.5521387 0.03690215 5 0.03627467 4 0.4519676 0.5222002 0.03493112 6 0.02331508 5 0.4156929 0.4783331 0.03182324 7 0.02089795 6 0.3923778 0.4515586 0.02848202 8 0.01575172 8 0.3505819 0.4350471 0.02821425 9 0.01319333 9 0.3348302 0.4147230 0.02785399 10 0.01233061 11 0.3084436 0.4066647 0.02725481 11 0.01058127 12 0.2961130 0.3925880 0.02688477 > postscript(file="/var/www/rcomp/tmp/163b41293026486.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(as.party(m),tp_args=list(id=FALSE)) > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/263b41293026486.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plotcp(m) > dev.off() null device 1 > cbind(y=m$y,pred=predict(m),res=residuals(m)) y pred res 1 11.5 11.58148 -0.081481481 2 11.0 11.58148 -0.581481481 3 10.5 11.58148 -1.081481481 4 10.0 11.10000 -1.100000000 5 8.5 11.10000 -2.600000000 6 10.0 11.10000 -1.100000000 7 10.0 11.10000 -1.100000000 8 8.0 11.58148 -3.581481481 9 10.0 11.10000 -1.100000000 10 15.0 15.12604 -0.126041667 11 15.5 15.12604 0.373958333 12 20.5 21.40556 -0.905555556 13 17.5 17.10192 0.398076923 14 17.5 15.12604 2.373958333 15 12.5 13.73478 -1.234782609 16 14.0 13.50649 0.493506494 17 15.0 13.50649 1.493506494 18 18.5 15.50500 2.995000000 19 14.5 15.69302 -1.193023256 20 14.0 15.12604 -1.126041667 21 15.5 17.21089 -1.710891089 22 15.5 17.21089 -1.710891089 23 12.0 13.50649 -1.506493506 24 13.0 13.50649 -0.506493506 25 12.0 11.10000 0.900000000 26 12.0 11.10000 0.900000000 27 19.0 17.10192 1.898076923 28 15.0 17.21089 -2.210891089 29 14.0 15.69302 -1.693023256 30 14.0 15.12604 -1.126041667 31 14.5 15.69302 -1.193023256 32 19.0 18.29130 0.708695652 33 19.0 17.51667 1.483333333 34 20.5 15.69302 4.806976744 35 17.0 15.69302 1.306976744 36 16.5 15.69302 0.806976744 37 12.0 13.50649 -1.506493506 38 13.5 13.50649 -0.006493506 39 13.0 13.50649 -0.506493506 40 11.0 11.10000 -0.100000000 41 13.5 13.50649 -0.006493506 42 12.5 11.10000 1.400000000 43 13.5 15.12604 -1.626041667 44 14.0 13.50649 0.493506494 45 16.0 15.50500 0.495000000 46 14.5 15.12604 -0.626041667 47 18.0 17.10192 0.898076923 48 16.0 17.10192 -1.101923077 49 14.5 15.12604 -0.626041667 50 15.0 15.69302 -0.693023256 51 13.0 13.50649 -0.506493506 52 11.5 11.58148 -0.081481481 53 14.5 15.50500 -1.005000000 54 12.5 13.50649 -1.006493506 55 12.0 11.10000 0.900000000 56 13.0 13.50649 -0.506493506 57 11.0 11.10000 -0.100000000 58 11.0 11.10000 -0.100000000 59 16.5 17.21089 -0.710891089 60 18.0 17.21089 0.789108911 61 16.5 17.21089 -0.710891089 62 16.0 15.12604 0.873958333 63 14.0 11.10000 2.900000000 64 12.5 13.50649 -1.006493506 65 15.0 15.12604 -0.126041667 66 19.5 17.10192 2.398076923 67 16.5 15.12604 1.373958333 68 18.5 15.69302 2.806976744 69 14.0 15.12604 -1.126041667 70 13.0 13.50649 -0.506493506 71 9.5 11.10000 -1.600000000 72 15.5 15.69302 -0.193023256 73 14.0 15.12604 -1.126041667 74 11.0 11.58148 -0.581481481 75 14.0 15.12604 -1.126041667 76 11.0 11.58148 -0.581481481 77 16.5 17.21089 -0.710891089 78 16.0 15.12604 0.873958333 79 16.5 17.10192 -0.601923077 80 21.0 18.29130 2.708695652 81 17.0 17.21089 -0.210891089 82 18.0 17.21089 0.789108911 83 14.0 15.50500 -1.505000000 84 14.5 13.50649 0.993506494 85 16.0 15.50500 0.495000000 86 15.5 15.50500 -0.005000000 87 15.5 18.29130 -2.791304348 88 14.5 15.69302 -1.193023256 89 19.0 21.40556 -2.405555556 90 14.5 15.69302 -1.193023256 91 14.0 15.69302 -1.693023256 92 15.0 15.12604 -0.126041667 93 16.0 18.29130 -2.291304348 94 16.0 17.21089 -1.210891089 95 19.5 21.04615 -1.546153846 96 11.5 11.10000 0.400000000 97 14.0 13.50649 0.493506494 98 13.5 13.50649 -0.006493506 99 21.0 17.21089 3.789108911 100 19.0 17.21089 1.789108911 101 19.0 17.21089 1.789108911 102 13.5 17.21089 -3.710891089 103 12.0 11.58148 0.418518519 104 17.0 17.10192 -0.101923077 105 16.0 15.12604 0.873958333 106 13.5 15.12604 -1.626041667 107 16.5 15.69302 0.806976744 108 14.5 17.21089 -2.710891089 109 15.0 15.12604 -0.126041667 110 17.0 17.21089 -0.210891089 111 13.5 13.73478 -0.234782609 112 17.5 17.51667 -0.016666667 113 16.9 15.69302 1.206976744 114 14.9 15.12604 -0.226041667 115 15.3 15.69302 -0.393023256 116 13.0 13.50649 -0.506493506 117 13.9 15.50500 -1.605000000 118 12.8 13.50649 -0.706493506 119 14.5 17.21089 -2.710891089 120 17.6 17.21089 0.389108911 121 22.2 21.40556 0.794444444 122 22.1 21.40556 0.694444444 123 17.7 17.21089 0.489108911 124 16.2 17.21089 -1.010891089 125 17.8 17.21089 0.589108911 126 17.0 18.29130 -1.291304348 127 16.4 15.69302 0.706976744 128 15.7 17.21089 -1.510891089 129 13.2 13.50649 -0.306493506 130 16.7 15.50500 1.195000000 131 12.1 13.50649 -1.406493506 132 15.0 15.50500 -0.505000000 133 14.0 13.50649 0.493506494 134 14.8 15.69302 -0.893023256 135 18.6 17.51667 1.083333333 136 16.8 18.29130 -1.491304348 137 12.5 13.50649 -1.006493506 138 13.7 13.50649 0.193506494 139 16.9 17.21089 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13.0 13.50649 -0.506493506 565 13.0 13.50649 -0.506493506 566 13.0 13.50649 -0.506493506 567 14.0 15.50500 -1.505000000 568 13.0 13.50649 -0.506493506 569 15.0 15.50500 -0.505000000 570 14.0 13.50649 0.493506494 571 12.0 13.50649 -1.506493506 572 19.0 17.21089 1.789108911 573 14.0 13.50649 0.493506494 574 14.0 13.50649 0.493506494 575 13.0 13.50649 -0.506493506 576 13.0 13.50649 -0.506493506 577 14.0 13.50649 0.493506494 578 13.0 13.50649 -0.506493506 579 13.0 13.50649 -0.506493506 580 14.0 13.50649 0.493506494 581 14.0 13.50649 0.493506494 582 14.0 15.50500 -1.505000000 583 14.0 13.50649 0.493506494 584 11.0 13.50649 -2.506493506 585 13.0 13.50649 -0.506493506 586 12.0 13.50649 -1.506493506 587 13.0 13.50649 -0.506493506 588 13.0 13.50649 -0.506493506 589 11.0 11.10000 -0.100000000 590 15.0 13.50649 1.493506494 591 16.0 15.50500 0.495000000 592 12.0 13.50649 -1.506493506 593 10.0 11.10000 -1.100000000 594 16.0 15.50500 0.495000000 595 15.0 15.50500 -0.505000000 596 9.0 11.10000 -2.100000000 597 12.0 11.10000 0.900000000 598 15.0 13.50649 1.493506494 599 10.0 11.10000 -1.100000000 600 9.0 11.10000 -2.100000000 601 15.0 13.50649 1.493506494 602 13.0 13.50649 -0.506493506 603 15.0 13.50649 1.493506494 604 12.0 13.50649 -1.506493506 605 14.0 13.50649 0.493506494 606 12.0 11.10000 0.900000000 607 13.0 11.10000 1.900000000 608 10.0 11.10000 -1.100000000 609 14.0 13.50649 0.493506494 610 14.0 13.50649 0.493506494 611 14.0 13.50649 0.493506494 612 12.0 11.10000 0.900000000 613 12.0 11.10000 0.900000000 614 15.0 13.50649 1.493506494 615 13.0 13.50649 -0.506493506 616 14.0 13.50649 0.493506494 617 14.0 13.50649 0.493506494 618 11.0 11.10000 -0.100000000 619 16.0 15.50500 0.495000000 620 13.0 13.50649 -0.506493506 621 14.0 13.50649 0.493506494 622 12.0 11.10000 0.900000000 623 15.0 13.50649 1.493506494 624 19.0 15.50500 3.495000000 625 11.0 11.10000 -0.100000000 626 12.0 11.10000 0.900000000 627 13.0 11.10000 1.900000000 628 11.0 11.10000 -0.100000000 629 12.0 11.10000 0.900000000 630 12.0 11.10000 0.900000000 631 14.0 11.10000 2.900000000 632 12.0 11.10000 0.900000000 > myr <- residuals(m) > myp <- predict(m) > postscript(file="/var/www/rcomp/tmp/3zut71293026486.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow=c(2,2)) > plot(myr,ylab='residuals') > plot(density(myr),main='Residual Kernel Density') > plot(myp,myr,xlab='predicted',ylab='residuals',main='Predicted vs Residuals') > plot(density(myp),main='Prediction Kernel Density') > par(op) > dev.off() null device 1 > > #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Model Performance',6,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'#',header=TRUE) > a<-table.element(a,'Complexity',header=TRUE) > a<-table.element(a,'split',header=TRUE) > a<-table.element(a,'relative error',header=TRUE) > a<-table.element(a,'CV error',header=TRUE) > a<-table.element(a,'CV S.D.',header=TRUE) > a<-table.row.end(a) > for (i in 1:length(m$cptable[,1])) { + a<-table.row.start(a) + a<-table.element(a,i,header=TRUE) + a<-table.element(a,round(m$cptable[i,'CP'],3)) + a<-table.element(a,m$cptable[i,'nsplit']) + a<-table.element(a,round(m$cptable[i,'rel error'],3)) + a<-table.element(a,round(m$cptable[i,'xerror'],3)) + a<-table.element(a,round(m$cptable[i,'xstd'],3)) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/rcomp/tmp/4kc9v1293026486.tab") > > try(system("convert tmp/163b41293026486.ps tmp/163b41293026486.png",intern=TRUE)) character(0) > try(system("convert tmp/263b41293026486.ps tmp/263b41293026486.png",intern=TRUE)) character(0) > try(system("convert tmp/3zut71293026486.ps tmp/3zut71293026486.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 4.110 0.660 4.731