R version 2.9.0 (2009-04-17) Copyright (C) 2009 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. 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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,55.00 + ,0 + ,3 + ,1 + ,0 + ,0 + ,20.00 + ,0 + ,3 + ,1 + ,1 + ,0 + ,25.00 + ,0 + ,3 + ,1 + ,1 + ,0 + ,50.00 + ,1 + ,3 + ,2 + ,1 + ,0 + ,NA + ,0 + ,3 + ,1 + ,0 + ,0 + ,NA + ,0 + ,3 + ,1 + ,0 + ,0 + ,NA + ,0 + ,3 + ,1 + ,0 + ,0 + ,30.00 + ,0 + ,3 + ,1 + ,0 + ,0 + ,25.00 + ,0 + ,3 + ,1 + ,0 + ,0 + ,30.00 + ,0 + ,3 + ,1 + ,0 + ,0 + ,0.00 + ,0 + ,3 + ,1 + ,0 + ,0 + ,40.00 + ,0 + ,3 + ,1 + ,0 + ,0 + ,30.00 + ,0 + ,3 + ,1 + ,1 + ,0 + ,15.00 + ,1 + ,3 + ,2 + ,1 + ,0 + ,50.00 + ,0 + ,3 + ,1 + ,0 + ,0 + ,NA + ,0 + ,3 + ,1 + ,0 + ,0 + ,NA + ,0 + ,3 + ,1 + ,0 + ,0 + ,15.00 + ,0 + ,3 + ,2 + ,1 + ,0 + ,NA + ,0 + ,3 + ,2 + ,1 + ,0 + ,30.00 + ,0 + ,3 + ,1 + ,0 + ,0 + ,30.00 + ,0 + ,3 + ,1 + ,0 + ,0 + ,NA + ,0 + ,3 + ,1 + ,0 + ,0) + ,dim=c(6 + ,1309) + ,dimnames=list(c('age' + ,'survived' + ,'pclass' + ,'sex' + ,'sibsp' + ,'parch ') + ,1:1309)) > y <- array(NA,dim=c(6,1309),dimnames=list(c('age','survived','pclass','sex','sibsp','parch '),1:1309)) > 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 = 'quantiles' > par1 = '1' > #'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] "age" > x[,par1] [1] 30 5 5 30 25 50 65 40 55 75 50 20 25 30 80 25 50 35 40 40 50 30 45 30 [25] 25 25 20 35 30 45 40 30 60 45 45 25 45 50 45 60 60 45 45 45 55 40 60 35 [49] 30 20 15 15 40 40 50 40 80 50 50 30 35 40 30 45 30 30 25 50 40 40 65 55 [73] 70 40 65 40 40 55 30 35 35 30 35 20 55 5 55 50 30 50 50 50 40 25 40 55 [97] 40 40 30 25 30 25 20 65 60 30 0 50 45 25 60 50 40 35 50 35 25 45 25 50 [121] 75 55 20 40 60 25 45 50 25 25 50 50 45 35 40 30 25 55 55 45 55 20 45 55 [145] 45 35 35 40 35 40 50 50 50 50 35 60 45 45 45 40 50 30 35 45 55 20 55 30 [169] 25 30 60 15 30 20 20 20 25 50 55 40 30 65 45 35 40 30 55 50 40 35 25 60 [193] 20 65 40 25 65 30 50 25 30 25 20 20 30 55 50 60 40 25 45 35 45 35 50 40 [217] 35 55 55 35 15 20 25 65 50 25 35 30 35 40 35 50 40 60 30 60 60 25 20 25 [241] 25 10 45 40 60 35 65 55 45 55 65 70 65 65 50 20 55 40 50 50 20 40 35 40 [265] 65 50 35 65 60 60 55 25 55 35 60 45 50 30 50 25 55 25 35 65 40 30 30 30 [289] 20 25 35 40 60 20 25 40 30 55 35 20 30 5 5 15 40 35 20 25 30 45 30 25 [313] 15 60 40 20 25 40 25 45 45 5 30 25 35 20 45 55 55 40 30 25 45 30 30 30 [337] 30 25 10 35 35 25 30 25 10 20 50 30 35 20 30 25 25 20 20 35 55 10 45 35 [361] 30 30 25 25 20 40 30 20 40 40 35 40 35 35 20 30 50 25 25 25 25 35 30 55 [385] 30 5 25 45 10 30 65 30 10 45 45 25 25 50 50 55 25 35 25 20 20 25 40 55 [409] 50 45 30 25 45 65 60 35 20 45 25 50 25 25 35 25 35 25 25 35 45 60 35 30 [433] 30 5 5 25 25 20 35 40 25 65 50 45 60 5 35 25 30 40 35 30 50 15 45 20 [457] 40 50 70 30 55 40 20 65 35 15 5 5 40 30 20 30 20 30 40 25 25 30 30 50 [481] 20 45 25 20 45 35 35 30 30 5 10 35 40 35 30 30 25 5 5 25 50 20 25 30 [505] 25 30 25 20 20 30 60 30 35 40 25 45 25 20 15 50 25 30 30 30 30 40 35 30 [529] 25 35 15 40 35 30 30 5 5 30 5 5 40 35 70 35 30 25 45 15 20 35 20 25 [553] 20 20 30 30 40 5 20 30 30 20 25 25 35 20 35 20 5 10 5 20 40 10 15 40 [577] 30 30 40 20 30 25 20 25 35 5 10 5 15 5 40 25 40 45 25 25 20 30 25 15 [601] 20 35 35 5 5 5 25 20 40 30 20 20 45 30 25 20 30 25 20 35 25 20 30 10 [625] 10 40 35 25 25 20 30 25 25 35 20 25 20 20 25 30 20 40 20 20 25 25 25 30 [649] 25 20 40 30 25 25 35 30 30 20 20 20 25 40 25 35 35 25 30 75 45 35 30 20 [673] 30 10 5 40 60 20 20 45 20 25 45 25 20 30 30 5 35 30 30 25 25 25 25 20 [697] 40 40 30 20 5 5 30 35 25 25 40 20 20 45 45 35 20 30 25 25 35 65 25 25 [721] 25 20 20 45 40 20 15 50 5 45 45 20 30 25 10 20 20 50 25 25 20 10 35 45 [745] 35 40 10 5 15 10 20 15 40 45 55 35 20 40 30 20 25 20 30 25 20 25 45 30 [769] 25 45 25 15 30 20 30 25 25 30 30 5 25 45 30 30 45 30 30 25 30 25 20 50 [793] 20 35 30 25 35 35 30 5 5 50 35 20 30 25 35 30 20 25 35 20 25 30 25 35 [817] 25 5 40 20 35 45 25 30 5 30 30 5 20 40 25 40 25 30 30 30 25 25 35 35 [841] 40 40 25 25 45 40 30 20 30 30 30 25 30 55 25 35 25 25 30 35 35 35 15 35 [865] 25 20 60 25 25 25 30 25 10 30 35 25 20 25 15 5 20 20 35 15 15 30 30 20 [889] 30 25 45 40 25 30 25 65 25 25 10 30 45 35 30 35 20 25 20 20 20 35 0 5 [913] 10 5 10 30 5 10 5 20 15 45 25 20 35 5 5 30 25 25 25 25 25 30 20 0 [937] 25 20 35 20 25 40 25 10 5 10 5 10 40 25 35 50 50 5 20 45 50 20 25 40 [961] 15 25 25 40 5 25 5 25 20 25 30 25 40 25 20 5 10 10 5 40 45 20 30 35 [985] 35 25 25 65 20 25 35 30 5 30 20 45 25 75 15 25 25 35 5 20 35 35 45 0 [1009] 25 10 10 30 40 20 65 15 45 10 40 30 35 30 30 50 20 35 20 35 25 20 15 25 [1033] 25 35 40 55 20 25 50 30 25 30 0 40 30 15 50 15 30 30 > 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]) [ 0,30) [30,40) [40,80] 448 280 322 > colnames(x) [1] "age" "survived" "pclass" "sex" "sibsp" "parch." > colnames(x)[par1] [1] "age" > x[,par1] [1] [30,40) [ 0,30) [ 0,30) [30,40) [ 0,30) [40,80] [40,80] [40,80] [40,80] [10] [40,80] [40,80] [ 0,30) [ 0,30) [30,40) [40,80] [ 0,30) [40,80] [30,40) [19] [40,80] [40,80] [40,80] [30,40) [40,80] [30,40) [ 0,30) [ 0,30) [ 0,30) [28] [30,40) [30,40) [40,80] [40,80] [30,40) [40,80] [40,80] [40,80] [ 0,30) [37] [40,80] [40,80] [40,80] [40,80] [40,80] [40,80] [40,80] [40,80] [40,80] [46] [40,80] [40,80] [30,40) [30,40) [ 0,30) [ 0,30) [ 0,30) [40,80] [40,80] [55] [40,80] [40,80] [40,80] [40,80] [40,80] [30,40) [30,40) [40,80] [30,40) [64] [40,80] [30,40) [30,40) [ 0,30) [40,80] [40,80] [40,80] [40,80] [40,80] [73] [40,80] [40,80] [40,80] [40,80] [40,80] [40,80] [30,40) [30,40) [30,40) [82] [30,40) [30,40) [ 0,30) [40,80] [ 0,30) [40,80] [40,80] [30,40) [40,80] [91] [40,80] [40,80] [40,80] [ 0,30) [40,80] [40,80] [40,80] [40,80] [30,40) [100] [ 0,30) [30,40) [ 0,30) [ 0,30) [40,80] [40,80] [30,40) [ 0,30) [40,80] [109] [40,80] [ 0,30) [40,80] [40,80] [40,80] [30,40) [40,80] [30,40) [ 0,30) [118] [40,80] [ 0,30) [40,80] [40,80] [40,80] [ 0,30) [40,80] [40,80] [ 0,30) [127] [40,80] [40,80] [ 0,30) [ 0,30) [40,80] [40,80] [40,80] [30,40) [40,80] [136] [30,40) [ 0,30) [40,80] [40,80] [40,80] [40,80] [ 0,30) [40,80] [40,80] [145] [40,80] [30,40) [30,40) [40,80] [30,40) [40,80] [40,80] [40,80] [40,80] [154] [40,80] [30,40) [40,80] [40,80] [40,80] [40,80] [40,80] [40,80] [30,40) [163] [30,40) [40,80] [40,80] [ 0,30) [40,80] [30,40) [ 0,30) [30,40) [40,80] [172] [ 0,30) [30,40) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [40,80] [40,80] [40,80] [181] [30,40) [40,80] [40,80] [30,40) [40,80] [30,40) [40,80] [40,80] [40,80] [190] [30,40) [ 0,30) [40,80] [ 0,30) [40,80] [40,80] [ 0,30) [40,80] [30,40) [199] [40,80] [ 0,30) [30,40) [ 0,30) [ 0,30) [ 0,30) [30,40) [40,80] [40,80] [208] [40,80] [40,80] [ 0,30) [40,80] [30,40) [40,80] [30,40) [40,80] [40,80] [217] [30,40) [40,80] [40,80] [30,40) [ 0,30) [ 0,30) [ 0,30) [40,80] [40,80] [226] [ 0,30) [30,40) [30,40) [30,40) [40,80] [30,40) [40,80] [40,80] [40,80] [235] [30,40) [40,80] [40,80] [ 0,30) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [40,80] [244] [40,80] [40,80] [30,40) [40,80] [40,80] [40,80] [40,80] [40,80] [40,80] [253] [40,80] [40,80] [40,80] [ 0,30) [40,80] [40,80] [40,80] [40,80] [ 0,30) [262] [40,80] [30,40) [40,80] [40,80] [40,80] [30,40) [40,80] [40,80] [40,80] [271] [40,80] [ 0,30) [40,80] [30,40) [40,80] [40,80] [40,80] [30,40) [40,80] [280] [ 0,30) [40,80] [ 0,30) [30,40) [40,80] [40,80] [30,40) [30,40) [30,40) [289] [ 0,30) [ 0,30) [30,40) [40,80] [40,80] [ 0,30) [ 0,30) [40,80] [30,40) [298] [40,80] [30,40) [ 0,30) [30,40) [ 0,30) [ 0,30) [ 0,30) [40,80] [30,40) [307] [ 0,30) [ 0,30) [30,40) [40,80] [30,40) [ 0,30) [ 0,30) [40,80] [40,80] [316] [ 0,30) [ 0,30) [40,80] [ 0,30) [40,80] [40,80] [ 0,30) [30,40) [ 0,30) [325] [30,40) [ 0,30) [40,80] [40,80] [40,80] [40,80] [30,40) [ 0,30) [40,80] [334] [30,40) [30,40) [30,40) [30,40) [ 0,30) [ 0,30) [30,40) [30,40) [ 0,30) [343] [30,40) [ 0,30) [ 0,30) [ 0,30) [40,80] [30,40) [30,40) [ 0,30) [30,40) [352] [ 0,30) [ 0,30) [ 0,30) [ 0,30) [30,40) [40,80] [ 0,30) [40,80] [30,40) [361] [30,40) [30,40) [ 0,30) [ 0,30) [ 0,30) [40,80] [30,40) [ 0,30) [40,80] [370] [40,80] [30,40) [40,80] [30,40) [30,40) [ 0,30) [30,40) [40,80] [ 0,30) [379] [ 0,30) [ 0,30) [ 0,30) [30,40) [30,40) [40,80] [30,40) [ 0,30) [ 0,30) [388] [40,80] [ 0,30) [30,40) [40,80] [30,40) [ 0,30) [40,80] [40,80] [ 0,30) [397] [ 0,30) [40,80] [40,80] [40,80] [ 0,30) [30,40) [ 0,30) [ 0,30) [ 0,30) [406] [ 0,30) [40,80] [40,80] [40,80] [40,80] [30,40) [ 0,30) [40,80] [40,80] [415] [40,80] [30,40) [ 0,30) [40,80] [ 0,30) [40,80] [ 0,30) [ 0,30) [30,40) [424] [ 0,30) [30,40) [ 0,30) [ 0,30) [30,40) [40,80] [40,80] [30,40) [30,40) [433] [30,40) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [30,40) [40,80] [ 0,30) [442] [40,80] [40,80] [40,80] [40,80] [ 0,30) [30,40) [ 0,30) [30,40) [40,80] [451] [30,40) [30,40) [40,80] [ 0,30) [40,80] [ 0,30) [40,80] [40,80] [40,80] [460] [30,40) [40,80] [40,80] [ 0,30) [40,80] [30,40) [ 0,30) [ 0,30) [ 0,30) [469] [40,80] [30,40) [ 0,30) [30,40) [ 0,30) [30,40) [40,80] [ 0,30) [ 0,30) [478] [30,40) [30,40) [40,80] [ 0,30) [40,80] [ 0,30) [ 0,30) [40,80] [30,40) [487] [30,40) [30,40) [30,40) [ 0,30) [ 0,30) [30,40) [40,80] [30,40) [30,40) [496] [30,40) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [40,80] [ 0,30) [ 0,30) [30,40) [505] [ 0,30) [30,40) [ 0,30) [ 0,30) [ 0,30) [30,40) [40,80] [30,40) [30,40) [514] [40,80] [ 0,30) [40,80] [ 0,30) [ 0,30) [ 0,30) [40,80] [ 0,30) [30,40) [523] [30,40) [30,40) [30,40) [40,80] [30,40) [30,40) [ 0,30) [30,40) [ 0,30) [532] [40,80] [30,40) [30,40) [30,40) [ 0,30) [ 0,30) [30,40) [ 0,30) [ 0,30) [541] [40,80] [30,40) [40,80] [30,40) [30,40) [ 0,30) [40,80] [ 0,30) [ 0,30) [550] [30,40) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [30,40) [30,40) [40,80] [ 0,30) [559] [ 0,30) [30,40) [30,40) [ 0,30) [ 0,30) [ 0,30) [30,40) [ 0,30) [30,40) [568] [ 0,30) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [40,80] [ 0,30) [ 0,30) [40,80] [577] [30,40) [30,40) [40,80] [ 0,30) [30,40) [ 0,30) [ 0,30) [ 0,30) [30,40) [586] [ 0,30) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [40,80] [ 0,30) [40,80] [40,80] [595] [ 0,30) [ 0,30) [ 0,30) [30,40) [ 0,30) [ 0,30) [ 0,30) [30,40) [30,40) [604] [ 0,30) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [40,80] [30,40) [ 0,30) [ 0,30) [613] [40,80] [30,40) [ 0,30) [ 0,30) [30,40) [ 0,30) [ 0,30) [30,40) [ 0,30) [622] [ 0,30) [30,40) [ 0,30) [ 0,30) [40,80] [30,40) [ 0,30) [ 0,30) [ 0,30) [631] [30,40) [ 0,30) [ 0,30) [30,40) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [640] [30,40) [ 0,30) [40,80] [ 0,30) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [30,40) [649] [ 0,30) [ 0,30) [40,80] [30,40) [ 0,30) [ 0,30) [30,40) [30,40) [30,40) [658] [ 0,30) [ 0,30) [ 0,30) [ 0,30) [40,80] [ 0,30) [30,40) [30,40) [ 0,30) [667] [30,40) [40,80] [40,80] [30,40) [30,40) [ 0,30) [30,40) [ 0,30) [ 0,30) [676] [40,80] [40,80] [ 0,30) [ 0,30) [40,80] [ 0,30) [ 0,30) [40,80] [ 0,30) [685] [ 0,30) [30,40) [30,40) [ 0,30) [30,40) [30,40) [30,40) [ 0,30) [ 0,30) [694] [ 0,30) [ 0,30) [ 0,30) [40,80] [40,80] [30,40) [ 0,30) [ 0,30) [ 0,30) [703] [30,40) [30,40) [ 0,30) [ 0,30) [40,80] [ 0,30) [ 0,30) [40,80] [40,80] [712] [30,40) [ 0,30) [30,40) [ 0,30) [ 0,30) [30,40) [40,80] [ 0,30) [ 0,30) [721] [ 0,30) [ 0,30) [ 0,30) [40,80] [40,80] [ 0,30) [ 0,30) [40,80] [ 0,30) [730] [40,80] [40,80] [ 0,30) [30,40) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [40,80] [739] [ 0,30) [ 0,30) [ 0,30) [ 0,30) [30,40) [40,80] [30,40) [40,80] [ 0,30) [748] [ 0,30) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [40,80] [40,80] [40,80] [30,40) [757] [ 0,30) [40,80] [30,40) [ 0,30) [ 0,30) [ 0,30) [30,40) [ 0,30) [ 0,30) [766] [ 0,30) [40,80] [30,40) [ 0,30) [40,80] [ 0,30) [ 0,30) [30,40) [ 0,30) [775] [30,40) [ 0,30) [ 0,30) [30,40) [30,40) [ 0,30) [ 0,30) [40,80] [30,40) [784] [30,40) [40,80] [30,40) [30,40) [ 0,30) [30,40) [ 0,30) [ 0,30) [40,80] [793] [ 0,30) [30,40) [30,40) [ 0,30) [30,40) [30,40) [30,40) [ 0,30) [ 0,30) [802] [40,80] [30,40) [ 0,30) [30,40) [ 0,30) [30,40) [30,40) [ 0,30) [ 0,30) [811] [30,40) [ 0,30) [ 0,30) [30,40) [ 0,30) [30,40) [ 0,30) [ 0,30) [40,80] [820] [ 0,30) [30,40) [40,80] [ 0,30) [30,40) [ 0,30) [30,40) [30,40) [ 0,30) [829] [ 0,30) [40,80] [ 0,30) [40,80] [ 0,30) [30,40) [30,40) [30,40) [ 0,30) [838] [ 0,30) [30,40) [30,40) [40,80] [40,80] [ 0,30) [ 0,30) [40,80] [40,80] [847] [30,40) [ 0,30) [30,40) [30,40) [30,40) [ 0,30) [30,40) [40,80] [ 0,30) [856] [30,40) [ 0,30) [ 0,30) [30,40) [30,40) [30,40) [30,40) [ 0,30) [30,40) [865] [ 0,30) [ 0,30) [40,80] [ 0,30) [ 0,30) [ 0,30) [30,40) [ 0,30) [ 0,30) [874] [30,40) [30,40) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [883] [30,40) [ 0,30) [ 0,30) [30,40) [30,40) [ 0,30) [30,40) [ 0,30) [40,80] [892] [40,80] [ 0,30) [30,40) [ 0,30) [40,80] [ 0,30) [ 0,30) [ 0,30) [30,40) [901] [40,80] [30,40) [30,40) [30,40) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [910] [30,40) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [30,40) [ 0,30) [ 0,30) [919] [ 0,30) [ 0,30) [ 0,30) [40,80] [ 0,30) [ 0,30) [30,40) [ 0,30) [ 0,30) [928] [30,40) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [30,40) [ 0,30) [ 0,30) [937] [ 0,30) [ 0,30) [30,40) [ 0,30) [ 0,30) [40,80] [ 0,30) [ 0,30) [ 0,30) [946] [ 0,30) [ 0,30) [ 0,30) [40,80] [ 0,30) [30,40) [40,80] [40,80] [ 0,30) [955] [ 0,30) [40,80] [40,80] [ 0,30) [ 0,30) [40,80] [ 0,30) [ 0,30) [ 0,30) [964] [40,80] [ 0,30) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [30,40) [ 0,30) [973] [40,80] [ 0,30) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [40,80] [40,80] [982] [ 0,30) [30,40) [30,40) [30,40) [ 0,30) [ 0,30) [40,80] [ 0,30) [ 0,30) [991] [30,40) [30,40) [ 0,30) [30,40) [ 0,30) [40,80] [ 0,30) [40,80] [ 0,30) [1000] [ 0,30) [ 0,30) [30,40) [ 0,30) [ 0,30) [30,40) [30,40) [40,80] [ 0,30) [1009] [ 0,30) [ 0,30) [ 0,30) [30,40) [40,80] [ 0,30) [40,80] [ 0,30) [40,80] [1018] [ 0,30) [40,80] [30,40) [30,40) [30,40) [30,40) [40,80] [ 0,30) [30,40) [1027] [ 0,30) [30,40) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [ 0,30) [30,40) [40,80] [1036] [40,80] [ 0,30) [ 0,30) [40,80] [30,40) [ 0,30) [30,40) [ 0,30) [40,80] [1045] [30,40) [ 0,30) [40,80] [ 0,30) [30,40) [30,40) Levels: [ 0,30) [30,40) [40,80] > if (par2 == 'none') { + m <- ctree(as.formula(paste(colnames(x)[par1],' ~ .',sep='')),data = x) + } > > #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/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/rcomp/tmp/10jbc1292596684.tab") + } + } > m Conditional inference tree with 12 terminal nodes Response: as.factor(age) Inputs: survived, pclass, sex, sibsp, parch. Number of observations: 1050 1) pclass <= 1; criterion = 1, statistic = 154.252 2) parch. <= 1; criterion = 1, statistic = 19.156 3) parch. <= 0; criterion = 0.995, statistic = 13.858 4) survived <= 0; criterion = 0.969, statistic = 10.162 5)* weights = 82 4) survived > 0 6)* weights = 123 3) parch. > 0 7) sibsp <= 0; criterion = 0.992, statistic = 12.921 8)* weights = 26 7) sibsp > 0 9)* weights = 23 2) parch. > 1 10)* weights = 31 1) pclass > 1 11) sibsp <= 1; criterion = 1, statistic = 29.752 12) parch. <= 2; criterion = 1, statistic = 24.351 13) pclass <= 2; criterion = 1, statistic = 21.061 14) parch. <= 0; criterion = 0.998, statistic = 15.526 15)* weights = 184 14) parch. > 0 16) survived <= 0; criterion = 0.987, statistic = 11.825 17)* weights = 15 16) survived > 0 18)* weights = 47 13) pclass > 2 19)* weights = 434 12) parch. > 2 20)* weights = 16 11) sibsp > 1 21) parch. <= 0; criterion = 0.993, statistic = 13.038 22)* weights = 18 21) parch. > 0 23)* weights = 51 > postscript(file="/var/www/html/rcomp/tmp/20jbc1292596684.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/rcomp/tmp/30jbc1292596684.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 3 [2,] 1 1 [3,] 1 1 [4,] 2 1 [5,] 1 1 [6,] 3 3 [7,] 3 3 [8,] 3 3 [9,] 3 3 [10,] 3 3 [11,] 3 3 [12,] 1 3 [13,] 1 3 [14,] 2 3 [15,] 3 3 [16,] 1 3 [17,] 3 3 [18,] 2 3 [19,] 3 3 [20,] 3 3 [21,] 3 3 [22,] 2 3 [23,] 3 3 [24,] 2 3 [25,] 1 3 [26,] 1 3 [27,] 1 3 [28,] 2 3 [29,] 2 3 [30,] 3 3 [31,] 3 3 [32,] 2 3 [33,] 3 3 [34,] 3 3 [35,] 3 3 [36,] 1 3 [37,] 3 3 [38,] 3 3 [39,] 3 3 [40,] 3 3 [41,] 3 3 [42,] 3 3 [43,] 3 3 [44,] 3 3 [45,] 3 3 [46,] 3 3 [47,] 3 3 [48,] 2 3 [49,] 2 3 [50,] 1 3 [51,] 1 1 [52,] 1 1 [53,] 3 1 [54,] 3 1 [55,] 3 3 [56,] 3 3 [57,] 3 3 [58,] 3 3 [59,] 3 3 [60,] 2 3 [61,] 2 3 [62,] 3 3 [63,] 2 3 [64,] 3 3 [65,] 2 3 [66,] 2 3 [67,] 1 3 [68,] 3 3 [69,] 3 3 [70,] 3 3 [71,] 3 1 [72,] 3 3 [73,] 3 3 [74,] 3 1 [75,] 3 3 [76,] 3 3 [77,] 3 3 [78,] 3 3 [79,] 2 3 [80,] 2 3 [81,] 2 3 [82,] 2 1 [83,] 2 3 [84,] 1 3 [85,] 3 3 [86,] 1 1 [87,] 3 3 [88,] 3 3 [89,] 2 3 [90,] 3 3 [91,] 3 3 [92,] 3 3 [93,] 3 3 [94,] 1 3 [95,] 3 3 [96,] 3 3 [97,] 3 3 [98,] 3 3 [99,] 2 3 [100,] 1 1 [101,] 2 1 [102,] 1 1 [103,] 1 1 [104,] 3 1 [105,] 3 1 [106,] 2 3 [107,] 1 3 [108,] 3 3 [109,] 3 3 [110,] 1 1 [111,] 3 3 [112,] 3 3 [113,] 3 3 [114,] 2 3 [115,] 3 3 [116,] 2 3 [117,] 1 3 [118,] 3 3 [119,] 1 3 [120,] 3 3 [121,] 3 3 [122,] 3 3 [123,] 1 3 [124,] 3 3 [125,] 3 3 [126,] 1 3 [127,] 3 3 [128,] 3 3 [129,] 1 3 [130,] 1 3 [131,] 3 3 [132,] 3 3 [133,] 3 3 [134,] 2 3 [135,] 3 3 [136,] 2 3 [137,] 1 3 [138,] 3 3 [139,] 3 3 [140,] 3 3 [141,] 3 3 [142,] 1 3 [143,] 3 3 [144,] 3 3 [145,] 3 3 [146,] 2 3 [147,] 2 3 [148,] 3 3 [149,] 2 3 [150,] 3 3 [151,] 3 3 [152,] 3 3 [153,] 3 3 [154,] 3 3 [155,] 2 3 [156,] 3 3 [157,] 3 3 [158,] 3 3 [159,] 3 3 [160,] 3 3 [161,] 3 3 [162,] 2 3 [163,] 2 3 [164,] 3 3 [165,] 3 3 [166,] 1 3 [167,] 3 3 [168,] 2 3 [169,] 1 3 [170,] 2 3 [171,] 3 3 [172,] 1 3 [173,] 2 3 [174,] 1 3 [175,] 1 3 [176,] 1 3 [177,] 1 3 [178,] 3 3 [179,] 3 3 [180,] 3 3 [181,] 2 3 [182,] 3 3 [183,] 3 3 [184,] 2 3 [185,] 3 3 [186,] 2 3 [187,] 3 3 [188,] 3 3 [189,] 3 3 [190,] 2 3 [191,] 1 3 [192,] 3 1 [193,] 1 1 [194,] 3 3 [195,] 3 3 [196,] 1 3 [197,] 3 3 [198,] 2 3 [199,] 3 3 [200,] 1 3 [201,] 2 3 [202,] 1 3 [203,] 1 3 [204,] 1 3 [205,] 2 3 [206,] 3 3 [207,] 3 3 [208,] 3 3 [209,] 3 3 [210,] 1 3 [211,] 3 3 [212,] 2 3 [213,] 3 3 [214,] 2 3 [215,] 3 3 [216,] 3 3 [217,] 2 3 [218,] 3 3 [219,] 3 3 [220,] 2 3 [221,] 1 1 [222,] 1 1 [223,] 1 1 [224,] 3 1 [225,] 3 1 [226,] 1 3 [227,] 2 3 [228,] 2 3 [229,] 2 3 [230,] 3 3 [231,] 2 3 [232,] 3 3 [233,] 3 3 [234,] 3 3 [235,] 2 3 [236,] 3 3 [237,] 3 3 [238,] 1 3 [239,] 1 3 [240,] 1 3 [241,] 1 3 [242,] 1 1 [243,] 3 3 [244,] 3 3 [245,] 3 3 [246,] 2 3 [247,] 3 3 [248,] 3 3 [249,] 3 3 [250,] 3 3 [251,] 3 3 [252,] 3 3 [253,] 3 3 [254,] 3 3 [255,] 3 3 [256,] 1 1 [257,] 3 3 [258,] 3 3 [259,] 3 3 [260,] 3 3 [261,] 1 1 [262,] 3 3 [263,] 2 3 [264,] 3 3 [265,] 3 3 [266,] 3 3 [267,] 2 3 [268,] 3 3 [269,] 3 3 [270,] 3 3 [271,] 3 3 [272,] 1 3 [273,] 3 3 [274,] 2 1 [275,] 3 3 [276,] 3 3 [277,] 3 3 [278,] 2 1 [279,] 3 3 [280,] 1 3 [281,] 3 3 [282,] 1 3 [283,] 2 3 [284,] 3 3 [285,] 3 3 [286,] 2 2 [287,] 2 2 [288,] 2 2 [289,] 1 2 [290,] 1 2 [291,] 2 2 [292,] 3 2 [293,] 3 2 [294,] 1 2 [295,] 1 2 [296,] 3 2 [297,] 2 2 [298,] 3 2 [299,] 2 2 [300,] 1 2 [301,] 2 2 [302,] 1 1 [303,] 1 1 [304,] 1 1 [305,] 3 3 [306,] 2 2 [307,] 1 2 [308,] 1 2 [309,] 2 2 [310,] 3 2 [311,] 2 2 [312,] 1 2 [313,] 1 1 [314,] 3 3 [315,] 3 1 [316,] 1 2 [317,] 1 2 [318,] 3 2 [319,] 1 2 [320,] 3 2 [321,] 3 2 [322,] 1 1 [323,] 2 1 [324,] 1 1 [325,] 2 2 [326,] 1 2 [327,] 3 2 [328,] 3 2 [329,] 3 2 [330,] 3 2 [331,] 2 2 [332,] 1 1 [333,] 3 1 [334,] 2 2 [335,] 2 2 [336,] 2 2 [337,] 2 2 [338,] 1 2 [339,] 1 1 [340,] 2 3 [341,] 2 1 [342,] 1 2 [343,] 2 2 [344,] 1 2 [345,] 1 1 [346,] 1 2 [347,] 3 1 [348,] 2 2 [349,] 2 2 [350,] 1 2 [351,] 2 2 [352,] 1 2 [353,] 1 2 [354,] 1 2 [355,] 1 1 [356,] 2 1 [357,] 3 2 [358,] 1 1 [359,] 3 3 [360,] 2 1 [361,] 2 2 [362,] 2 2 [363,] 1 2 [364,] 1 2 [365,] 1 2 [366,] 3 2 [367,] 2 2 [368,] 1 2 [369,] 3 2 [370,] 3 2 [371,] 2 2 [372,] 3 2 [373,] 2 2 [374,] 2 2 [375,] 1 2 [376,] 2 2 [377,] 3 2 [378,] 1 2 [379,] 1 2 [380,] 1 2 [381,] 1 2 [382,] 2 2 [383,] 2 2 [384,] 3 2 [385,] 2 2 [386,] 1 1 [387,] 1 1 [388,] 3 2 [389,] 1 1 [390,] 2 3 [391,] 3 2 [392,] 2 2 [393,] 1 1 [394,] 3 3 [395,] 3 1 [396,] 1 1 [397,] 1 1 [398,] 3 3 [399,] 3 1 [400,] 3 2 [401,] 1 1 [402,] 2 1 [403,] 1 1 [404,] 1 3 [405,] 1 1 [406,] 1 1 [407,] 3 2 [408,] 3 3 [409,] 3 2 [410,] 3 2 [411,] 2 2 [412,] 1 2 [413,] 3 2 [414,] 3 2 [415,] 3 2 [416,] 2 2 [417,] 1 2 [418,] 3 2 [419,] 1 1 [420,] 3 2 [421,] 1 1 [422,] 1 1 [423,] 2 2 [424,] 1 2 [425,] 2 2 [426,] 1 2 [427,] 1 2 [428,] 2 2 [429,] 3 2 [430,] 3 2 [431,] 2 2 [432,] 2 3 [433,] 2 3 [434,] 1 1 [435,] 1 1 [436,] 1 3 [437,] 1 1 [438,] 1 2 [439,] 2 2 [440,] 3 2 [441,] 1 2 [442,] 3 2 [443,] 3 2 [444,] 3 2 [445,] 3 2 [446,] 1 1 [447,] 2 3 [448,] 1 1 [449,] 2 2 [450,] 3 2 [451,] 2 2 [452,] 2 2 [453,] 3 2 [454,] 1 1 [455,] 3 1 [456,] 1 2 [457,] 3 2 [458,] 3 2 [459,] 3 2 [460,] 2 2 [461,] 3 2 [462,] 3 2 [463,] 1 2 [464,] 3 2 [465,] 2 2 [466,] 1 2 [467,] 1 1 [468,] 1 1 [469,] 3 3 [470,] 2 2 [471,] 1 3 [472,] 2 2 [473,] 1 2 [474,] 2 2 [475,] 3 2 [476,] 1 2 [477,] 1 2 [478,] 2 2 [479,] 2 2 [480,] 3 1 [481,] 1 2 [482,] 3 2 [483,] 1 1 [484,] 1 2 [485,] 3 3 [486,] 2 2 [487,] 2 2 [488,] 2 2 [489,] 2 2 [490,] 1 1 [491,] 1 1 [492,] 2 1 [493,] 3 2 [494,] 2 2 [495,] 2 1 [496,] 2 2 [497,] 1 2 [498,] 1 1 [499,] 1 1 [500,] 1 1 [501,] 3 2 [502,] 1 2 [503,] 1 2 [504,] 2 2 [505,] 1 2 [506,] 2 2 [507,] 1 1 [508,] 1 1 [509,] 1 2 [510,] 2 2 [511,] 3 2 [512,] 2 2 [513,] 2 2 [514,] 3 2 [515,] 1 2 [516,] 3 2 [517,] 1 2 [518,] 1 2 [519,] 1 2 [520,] 3 2 [521,] 1 2 [522,] 2 2 [523,] 2 2 [524,] 2 2 [525,] 2 2 [526,] 3 2 [527,] 2 2 [528,] 2 2 [529,] 1 2 [530,] 2 2 [531,] 1 2 [532,] 3 2 [533,] 2 2 [534,] 2 2 [535,] 2 2 [536,] 1 1 [537,] 1 1 [538,] 2 1 [539,] 1 1 [540,] 1 1 [541,] 3 3 [542,] 2 1 [543,] 3 2 [544,] 2 2 [545,] 2 2 [546,] 1 2 [547,] 3 1 [548,] 1 1 [549,] 1 1 [550,] 2 1 [551,] 1 1 [552,] 1 1 [553,] 1 1 [554,] 1 1 [555,] 2 1 [556,] 2 1 [557,] 3 1 [558,] 1 1 [559,] 1 1 [560,] 2 1 [561,] 2 1 [562,] 1 1 [563,] 1 1 [564,] 1 1 [565,] 2 1 [566,] 1 1 [567,] 2 1 [568,] 1 1 [569,] 1 1 [570,] 1 1 [571,] 1 1 [572,] 1 1 [573,] 3 1 [574,] 1 1 [575,] 1 1 [576,] 3 3 [577,] 2 1 [578,] 2 1 [579,] 3 3 [580,] 1 1 [581,] 2 1 [582,] 1 1 [583,] 1 1 [584,] 1 1 [585,] 2 1 [586,] 1 1 [587,] 1 1 [588,] 1 1 [589,] 1 1 [590,] 1 1 [591,] 3 3 [592,] 1 1 [593,] 3 3 [594,] 3 1 [595,] 1 1 [596,] 1 1 [597,] 1 1 [598,] 2 1 [599,] 1 1 [600,] 1 1 [601,] 1 1 [602,] 2 1 [603,] 2 1 [604,] 1 1 [605,] 1 1 [606,] 1 1 [607,] 1 3 [608,] 1 1 [609,] 3 1 [610,] 2 1 [611,] 1 1 [612,] 1 1 [613,] 3 1 [614,] 2 1 [615,] 1 1 [616,] 1 1 [617,] 2 1 [618,] 1 1 [619,] 1 1 [620,] 2 1 [621,] 1 1 [622,] 1 1 [623,] 2 1 [624,] 1 1 [625,] 1 1 [626,] 3 1 [627,] 2 1 [628,] 1 1 [629,] 1 1 [630,] 1 1 [631,] 2 1 [632,] 1 1 [633,] 1 1 [634,] 2 1 [635,] 1 1 [636,] 1 1 [637,] 1 1 [638,] 1 1 [639,] 1 1 [640,] 2 1 [641,] 1 1 [642,] 3 1 [643,] 1 1 [644,] 1 1 [645,] 1 1 [646,] 1 1 [647,] 1 1 [648,] 2 1 [649,] 1 1 [650,] 1 1 [651,] 3 1 [652,] 2 1 [653,] 1 1 [654,] 1 1 [655,] 2 1 [656,] 2 1 [657,] 2 1 [658,] 1 1 [659,] 1 1 [660,] 1 1 [661,] 1 1 [662,] 3 1 [663,] 1 1 [664,] 2 1 [665,] 2 1 [666,] 1 1 [667,] 2 1 [668,] 3 1 [669,] 3 1 [670,] 2 1 [671,] 2 1 [672,] 1 1 [673,] 2 1 [674,] 1 1 [675,] 1 1 [676,] 3 1 [677,] 3 1 [678,] 1 1 [679,] 1 1 [680,] 3 1 [681,] 1 1 [682,] 1 1 [683,] 3 1 [684,] 1 1 [685,] 1 1 [686,] 2 1 [687,] 2 1 [688,] 1 1 [689,] 2 1 [690,] 2 1 [691,] 2 1 [692,] 1 1 [693,] 1 1 [694,] 1 1 [695,] 1 1 [696,] 1 1 [697,] 3 1 [698,] 3 1 [699,] 2 1 [700,] 1 1 [701,] 1 1 [702,] 1 1 [703,] 2 1 [704,] 2 1 [705,] 1 1 [706,] 1 1 [707,] 3 1 [708,] 1 1 [709,] 1 1 [710,] 3 1 [711,] 3 1 [712,] 2 1 [713,] 1 1 [714,] 2 1 [715,] 1 1 [716,] 1 1 [717,] 2 1 [718,] 3 1 [719,] 1 1 [720,] 1 1 [721,] 1 1 [722,] 1 1 [723,] 1 1 [724,] 3 1 [725,] 3 1 [726,] 1 1 [727,] 1 1 [728,] 3 1 [729,] 1 1 [730,] 3 1 [731,] 3 1 [732,] 1 1 [733,] 2 1 [734,] 1 1 [735,] 1 1 [736,] 1 1 [737,] 1 3 [738,] 3 3 [739,] 1 1 [740,] 1 1 [741,] 1 1 [742,] 1 1 [743,] 2 1 [744,] 3 1 [745,] 2 1 [746,] 3 1 [747,] 1 1 [748,] 1 1 [749,] 1 1 [750,] 1 1 [751,] 1 1 [752,] 1 1 [753,] 3 3 [754,] 3 3 [755,] 3 1 [756,] 2 1 [757,] 1 1 [758,] 3 1 [759,] 2 1 [760,] 1 1 [761,] 1 1 [762,] 1 1 [763,] 2 1 [764,] 1 1 [765,] 1 1 [766,] 1 1 [767,] 3 1 [768,] 2 1 [769,] 1 1 [770,] 3 1 [771,] 1 1 [772,] 1 1 [773,] 2 1 [774,] 1 1 [775,] 2 1 [776,] 1 1 [777,] 1 1 [778,] 2 1 [779,] 2 1 [780,] 1 1 [781,] 1 1 [782,] 3 1 [783,] 2 1 [784,] 2 1 [785,] 3 1 [786,] 2 1 [787,] 2 1 [788,] 1 1 [789,] 2 1 [790,] 1 1 [791,] 1 1 [792,] 3 1 [793,] 1 1 [794,] 2 1 [795,] 2 1 [796,] 1 1 [797,] 2 1 [798,] 2 1 [799,] 2 1 [800,] 1 1 [801,] 1 1 [802,] 3 1 [803,] 2 1 [804,] 1 1 [805,] 2 1 [806,] 1 1 [807,] 2 1 [808,] 2 1 [809,] 1 1 [810,] 1 1 [811,] 2 1 [812,] 1 1 [813,] 1 1 [814,] 2 1 [815,] 1 1 [816,] 2 1 [817,] 1 1 [818,] 1 1 [819,] 3 1 [820,] 1 1 [821,] 2 1 [822,] 3 1 [823,] 1 1 [824,] 2 1 [825,] 1 1 [826,] 2 1 [827,] 2 1 [828,] 1 1 [829,] 1 1 [830,] 3 1 [831,] 1 1 [832,] 3 1 [833,] 1 1 [834,] 2 1 [835,] 2 1 [836,] 2 1 [837,] 1 1 [838,] 1 1 [839,] 2 1 [840,] 2 1 [841,] 3 1 [842,] 3 1 [843,] 1 1 [844,] 1 1 [845,] 3 1 [846,] 3 1 [847,] 2 1 [848,] 1 1 [849,] 2 1 [850,] 2 1 [851,] 2 1 [852,] 1 1 [853,] 2 1 [854,] 3 1 [855,] 1 1 [856,] 2 1 [857,] 1 1 [858,] 1 1 [859,] 2 1 [860,] 2 1 [861,] 2 1 [862,] 2 1 [863,] 1 1 [864,] 2 1 [865,] 1 1 [866,] 1 1 [867,] 3 1 [868,] 1 1 [869,] 1 1 [870,] 1 1 [871,] 2 1 [872,] 1 1 [873,] 1 1 [874,] 2 1 [875,] 2 1 [876,] 1 1 [877,] 1 1 [878,] 1 1 [879,] 1 1 [880,] 1 1 [881,] 1 1 [882,] 1 1 [883,] 2 1 [884,] 1 1 [885,] 1 1 [886,] 2 1 [887,] 2 1 [888,] 1 1 [889,] 2 1 [890,] 1 1 [891,] 3 1 [892,] 3 1 [893,] 1 1 [894,] 2 1 [895,] 1 1 [896,] 3 1 [897,] 1 1 [898,] 1 1 [899,] 1 1 [900,] 2 1 [901,] 3 1 [902,] 2 1 [903,] 2 1 [904,] 2 1 [905,] 1 1 [906,] 1 1 [907,] 1 1 [908,] 1 1 [909,] 1 1 [910,] 2 1 [911,] 1 1 [912,] 1 1 [913,] 1 1 [914,] 1 1 [915,] 1 1 [916,] 2 3 [917,] 1 1 [918,] 1 1 [919,] 1 1 [920,] 1 1 [921,] 1 1 [922,] 3 3 [923,] 1 1 [924,] 1 1 [925,] 2 1 [926,] 1 1 [927,] 1 1 [928,] 2 1 [929,] 1 1 [930,] 1 1 [931,] 1 1 [932,] 1 1 [933,] 1 1 [934,] 2 1 [935,] 1 1 [936,] 1 1 [937,] 1 1 [938,] 1 1 [939,] 2 1 [940,] 1 1 [941,] 1 1 [942,] 3 1 [943,] 1 1 [944,] 1 1 [945,] 1 1 [946,] 1 1 [947,] 1 1 [948,] 1 1 [949,] 3 3 [950,] 1 1 [951,] 2 1 [952,] 3 1 [953,] 3 1 [954,] 1 1 [955,] 1 1 [956,] 3 1 [957,] 3 1 [958,] 1 1 [959,] 1 1 [960,] 3 1 [961,] 1 1 [962,] 1 1 [963,] 1 1 [964,] 3 1 [965,] 1 1 [966,] 1 1 [967,] 1 1 [968,] 1 1 [969,] 1 1 [970,] 1 1 [971,] 2 1 [972,] 1 1 [973,] 3 1 [974,] 1 1 [975,] 1 1 [976,] 1 1 [977,] 1 1 [978,] 1 1 [979,] 1 1 [980,] 3 3 [981,] 3 3 [982,] 1 1 [983,] 2 1 [984,] 2 1 [985,] 2 1 [986,] 1 1 [987,] 1 1 [988,] 3 1 [989,] 1 1 [990,] 1 1 [991,] 2 1 [992,] 2 1 [993,] 1 1 [994,] 2 1 [995,] 1 1 [996,] 3 1 [997,] 1 1 [998,] 3 1 [999,] 1 1 [1000,] 1 1 [1001,] 1 1 [1002,] 2 1 [1003,] 1 1 [1004,] 1 1 [1005,] 2 1 [1006,] 2 1 [1007,] 3 1 [1008,] 1 1 [1009,] 1 1 [1010,] 1 1 [1011,] 1 1 [1012,] 2 1 [1013,] 3 1 [1014,] 1 1 [1015,] 3 1 [1016,] 1 1 [1017,] 3 1 [1018,] 1 1 [1019,] 3 1 [1020,] 2 1 [1021,] 2 1 [1022,] 2 1 [1023,] 2 1 [1024,] 3 1 [1025,] 1 1 [1026,] 2 1 [1027,] 1 1 [1028,] 2 1 [1029,] 1 1 [1030,] 1 1 [1031,] 1 1 [1032,] 1 1 [1033,] 1 1 [1034,] 2 1 [1035,] 3 1 [1036,] 3 1 [1037,] 1 1 [1038,] 1 1 [1039,] 3 1 [1040,] 2 1 [1041,] 1 1 [1042,] 2 1 [1043,] 1 1 [1044,] 3 1 [1045,] 2 1 [1046,] 1 1 [1047,] 3 1 [1048,] 1 1 [1049,] 2 1 [1050,] 2 1 [ 0,30) [30,40) [40,80] [ 0,30) 344 57 47 [30,40) 148 71 61 [40,80] 89 56 177 > postscript(file="/var/www/html/rcomp/tmp/4baaf1292596684.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/rcomp/tmp/5p28o1292596684.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/rcomp/tmp/6ib791292596684.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/rcomp/tmp/7ltof1292596684.tab") + } > > try(system("convert tmp/20jbc1292596684.ps tmp/20jbc1292596684.png",intern=TRUE)) character(0) > try(system("convert tmp/30jbc1292596684.ps tmp/30jbc1292596684.png",intern=TRUE)) character(0) > try(system("convert tmp/4baaf1292596684.ps tmp/4baaf1292596684.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 12.724 0.630 29.456