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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+ { + y[i,j] <- as.numeric(x[i,j]) + } + } > par20 = '' > par19 = '' > par18 = '' > par17 = '' > par16 = '' > par15 = '' > par14 = '' > par13 = '' > par12 = '' > par11 = '' > par10 = '' > par9 = '' > par8 = '' > par7 = '' > par6 = '' > par5 = '' > par4 = 'no' > par3 = '2' > par2 = 'equal' > par1 = '2' > ylab = '' > xlab = '' > main = '' > #'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] "survived" > x[,par1] [1] 1 1 0 0 0 1 1 0 1 0 0 1 1 1 1 0 0 1 1 0 1 1 1 1 1 0 1 1 1 1 0 1 1 1 0 1 1 [38] 1 0 0 0 1 1 1 1 0 0 1 1 1 1 0 0 0 1 1 1 1 0 1 0 1 0 1 1 1 1 1 1 1 0 0 1 1 [75] 0 0 1 0 1 1 0 0 1 1 0 1 1 1 1 0 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1 0 0 1 1 1 0 [112] 1 1 1 0 0 1 1 0 1 1 1 1 1 1 0 0 1 0 1 1 1 0 1 1 0 1 1 0 1 1 1 0 1 1 1 1 0 [149] 0 1 0 1 1 1 0 1 0 0 0 1 1 1 0 1 1 1 0 1 1 0 1 0 0 0 0 0 1 1 1 0 1 1 1 1 0 [186] 0 1 1 1 0 1 0 1 1 0 1 1 0 1 1 0 0 1 0 1 0 0 1 1 1 0 0 0 1 1 0 1 0 1 1 1 0 [223] 0 0 0 0 0 1 0 1 1 1 0 1 0 1 0 0 1 0 1 0 1 0 0 1 0 1 0 1 1 1 0 1 1 1 1 1 1 [260] 1 1 1 0 1 1 1 0 0 0 0 1 1 1 1 1 1 0 1 1 0 1 1 1 0 1 0 0 0 1 1 0 1 1 1 0 1 [297] 1 1 1 0 0 0 1 0 1 0 0 0 1 1 0 1 0 0 1 1 0 1 0 1 1 0 1 0 1 0 0 0 0 1 0 0 0 [334] 1 0 0 1 1 0 1 1 1 1 1 1 0 0 0 0 1 1 0 1 1 0 1 0 0 1 1 1 1 1 0 0 0 0 0 0 0 [371] 1 1 0 1 0 0 1 1 0 1 1 0 0 0 0 1 0 1 1 0 0 0 1 0 0 1 1 0 1 0 1 1 1 0 0 0 0 [408] 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 1 0 1 0 1 1 1 0 1 1 0 0 [445] 0 0 1 0 0 1 0 0 1 0 1 0 0 0 1 0 1 0 0 0 0 1 0 1 0 1 0 1 0 0 0 0 0 0 1 1 0 [482] 1 1 1 1 0 0 0 0 1 0 0 1 0 1 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 1 1 1 0 0 [519] 0 0 1 1 0 1 1 0 1 0 0 1 0 0 0 1 1 0 1 0 1 0 1 1 1 0 0 1 1 0 1 1 1 1 0 1 0 [556] 0 0 1 1 1 1 0 1 0 1 0 0 0 0 0 1 0 1 1 0 0 0 1 0 0 1 0 1 1 1 0 1 1 1 1 1 1 [593] 0 1 0 0 1 1 1 0 0 0 0 1 1 1 1 1 0 0 0 1 1 1 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 [630] 0 1 0 0 0 0 0 0 0 0 0 0 1 0 1 0 1 1 1 0 0 0 0 0 1 0 0 1 1 1 1 1 1 0 0 1 0 [667] 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 [704] 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 1 0 0 1 0 [741] 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 1 1 0 1 0 0 0 0 0 1 0 0 0 0 0 [778] 1 1 0 1 0 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 [815] 0 0 0 0 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 [852] 1 0 0 0 0 1 1 1 0 1 0 1 0 0 0 1 1 0 0 1 0 1 0 1 0 0 0 0 0 1 1 0 0 0 0 1 1 [889] 0 1 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 1 0 0 1 1 0 0 0 0 1 1 0 [926] 0 1 0 0 0 0 0 0 0 1 1 1 0 0 0 0 1 0 0 0 1 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 [963] 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 1 1 0 0 1 1 0 0 0 0 0 1 0 1 0 0 0 1 0 [1000] 1 1 1 1 1 1 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 1 1 0 1 0 0 0 0 1 1 1 [1037] 1 1 0 1 1 0 1 1 1 0 0 1 1 1 1 0 0 0 0 0 1 1 0 0 1 1 0 0 1 0 0 1 0 0 0 1 0 [1074] 0 0 0 0 1 1 1 1 1 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 [1111] 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 [1148] 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 [1185] 0 0 0 1 1 1 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 [1222] 0 0 1 0 0 0 0 1 0 0 0 1 1 0 0 1 0 1 0 1 0 0 0 1 0 0 1 0 0 0 0 0 0 1 0 1 1 [1259] 1 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 [1296] 0 0 0 0 0 1 0 0 0 0 0 0 0 0 > 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]) C1 C2 809 500 > colnames(x) [1] "age" "survived" "pclass" "sex" "sibsp" "parch." > colnames(x)[par1] [1] "survived" > x[,par1] [1] C2 C2 C1 C1 C1 C2 C2 C1 C2 C1 C1 C2 C2 C2 C2 C1 C1 C2 C2 C1 C2 C2 C2 C2 [25] C2 C1 C2 C2 C2 C2 C1 C2 C2 C2 C1 C2 C2 C2 C1 C1 C1 C2 C2 C2 C2 C1 C1 C2 [49] C2 C2 C2 C1 C1 C1 C2 C2 C2 C2 C1 C2 C1 C2 C1 C2 C2 C2 C2 C2 C2 C2 C1 C1 [73] C2 C2 C1 C1 C2 C1 C2 C2 C1 C1 C2 C2 C1 C2 C2 C2 C2 C1 C2 C2 C2 C2 C2 C2 [97] C1 C2 C2 C2 C2 C1 C2 C2 C2 C1 C1 C2 C2 C2 C1 C2 C2 C2 C1 C1 C2 C2 C1 C2 [121] C2 C2 C2 C2 C2 C1 C1 C2 C1 C2 C2 C2 C1 C2 C2 C1 C2 C2 C1 C2 C2 C2 C1 C2 [145] C2 C2 C2 C1 C1 C2 C1 C2 C2 C2 C1 C2 C1 C1 C1 C2 C2 C2 C1 C2 C2 C2 C1 C2 [169] C2 C1 C2 C1 C1 C1 C1 C1 C2 C2 C2 C1 C2 C2 C2 C2 C1 C1 C2 C2 C2 C1 C2 C1 [193] C2 C2 C1 C2 C2 C1 C2 C2 C1 C1 C2 C1 C2 C1 C1 C2 C2 C2 C1 C1 C1 C2 C2 C1 [217] C2 C1 C2 C2 C2 C1 C1 C1 C1 C1 C1 C2 C1 C2 C2 C2 C1 C2 C1 C2 C1 C1 C2 C1 [241] C2 C1 C2 C1 C1 C2 C1 C2 C1 C2 C2 C2 C1 C2 C2 C2 C2 C2 C2 C2 C2 C2 C1 C2 [265] C2 C2 C1 C1 C1 C1 C2 C2 C2 C2 C2 C2 C1 C2 C2 C1 C2 C2 C2 C1 C2 C1 C1 C1 [289] C2 C2 C1 C2 C2 C2 C1 C2 C2 C2 C2 C1 C1 C1 C2 C1 C2 C1 C1 C1 C2 C2 C1 C2 [313] C1 C1 C2 C2 C1 C2 C1 C2 C2 C1 C2 C1 C2 C1 C1 C1 C1 C2 C1 C1 C1 C2 C1 C1 [337] C2 C2 C1 C2 C2 C2 C2 C2 C2 C1 C1 C1 C1 C2 C2 C1 C2 C2 C1 C2 C1 C1 C2 C2 [361] C2 C2 C2 C1 C1 C1 C1 C1 C1 C1 C2 C2 C1 C2 C1 C1 C2 C2 C1 C2 C2 C1 C1 C1 [385] C1 C2 C1 C2 C2 C1 C1 C1 C2 C1 C1 C2 C2 C1 C2 C1 C2 C2 C2 C1 C1 C1 C1 C2 [409] C1 C1 C1 C1 C1 C1 C1 C2 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C2 C2 C1 C2 C1 [433] C2 C1 C2 C1 C2 C2 C2 C1 C2 C2 C1 C1 C1 C1 C2 C1 C1 C2 C1 C1 C2 C1 C2 C1 [457] C1 C1 C2 C1 C2 C1 C1 C1 C1 C2 C1 C2 C1 C2 C1 C2 C1 C1 C1 C1 C1 C1 C2 C2 [481] C1 C2 C2 C2 C2 C1 C1 C1 C1 C2 C1 C1 C2 C1 C2 C1 C1 C1 C1 C1 C1 C2 C2 C2 [505] C1 C1 C1 C1 C1 C1 C1 C1 C1 C2 C2 C2 C1 C1 C1 C1 C2 C2 C1 C2 C2 C1 C2 C1 [529] C1 C2 C1 C1 C1 C2 C2 C1 C2 C1 C2 C1 C2 C2 C2 C1 C1 C2 C2 C1 C2 C2 C2 C2 [553] C1 C2 C1 C1 C1 C2 C2 C2 C2 C1 C2 C1 C2 C1 C1 C1 C1 C1 C2 C1 C2 C2 C1 C1 [577] C1 C2 C1 C1 C2 C1 C2 C2 C2 C1 C2 C2 C2 C2 C2 C2 C1 C2 C1 C1 C2 C2 C2 C1 [601] C1 C1 C1 C2 C2 C2 C2 C2 C1 C1 C1 C2 C2 C2 C1 C1 C1 C1 C1 C1 C1 C2 C1 C1 [625] C1 C2 C1 C1 C1 C1 C2 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C2 C1 C2 C1 C2 C2 C2 [649] C1 C1 C1 C1 C1 C2 C1 C1 C2 C2 C2 C2 C2 C2 C1 C1 C2 C1 C1 C1 C1 C1 C1 C1 [673] C1 C1 C2 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C2 C1 C1 C1 C1 C1 C1 C2 C1 C1 [697] C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C2 C1 C1 C1 C1 C2 C1 C1 C1 C1 C2 [721] C1 C1 C1 C1 C1 C2 C1 C1 C1 C1 C1 C1 C1 C2 C2 C2 C1 C1 C2 C1 C1 C1 C2 C1 [745] C1 C2 C2 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C2 C2 C2 C2 C1 C2 C2 C1 C2 C1 C1 [769] C1 C1 C1 C2 C1 C1 C1 C1 C1 C2 C2 C1 C2 C1 C1 C2 C1 C2 C1 C1 C1 C1 C1 C1 [793] C1 C1 C2 C1 C1 C1 C2 C1 C1 C1 C1 C1 C1 C2 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 [817] C1 C1 C2 C2 C2 C1 C1 C2 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 [841] C1 C1 C1 C1 C1 C2 C1 C1 C1 C1 C1 C2 C1 C1 C1 C1 C2 C2 C2 C1 C2 C1 C2 C1 [865] C1 C1 C2 C2 C1 C1 C2 C1 C2 C1 C2 C1 C1 C1 C1 C1 C2 C2 C1 C1 C1 C1 C2 C2 [889] C1 C2 C1 C1 C1 C1 C2 C2 C1 C1 C1 C2 C1 C1 C1 C1 C1 C2 C1 C1 C1 C2 C1 C1 [913] C1 C2 C1 C1 C2 C2 C1 C1 C1 C1 C2 C2 C1 C1 C2 C1 C1 C1 C1 C1 C1 C1 C2 C2 [937] C2 C1 C1 C1 C1 C2 C1 C1 C1 C2 C1 C2 C1 C2 C1 C1 C1 C2 C1 C1 C1 C1 C1 C1 [961] C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C2 C1 C1 C1 C1 C1 C1 C1 C2 C1 C2 C2 C1 C1 [985] C2 C2 C1 C1 C1 C1 C1 C2 C1 C2 C1 C1 C1 C2 C1 C2 C2 C2 C2 C2 C2 C1 C2 C2 [1009] C1 C1 C1 C1 C1 C1 C1 C1 C1 C2 C1 C1 C1 C1 C1 C2 C1 C2 C2 C1 C2 C1 C1 C1 [1033] C1 C2 C2 C2 C2 C2 C1 C2 C2 C1 C2 C2 C2 C1 C1 C2 C2 C2 C2 C1 C1 C1 C1 C1 [1057] C2 C2 C1 C1 C2 C2 C1 C1 C2 C1 C1 C2 C1 C1 C1 C2 C1 C1 C1 C1 C1 C2 C2 C2 [1081] C2 C2 C2 C1 C1 C1 C1 C1 C2 C1 C1 C1 C1 C1 C2 C1 C1 C1 C1 C1 C1 C1 C1 C1 [1105] C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C2 C2 C2 C2 C1 C1 C1 C1 [1129] C1 C1 C1 C2 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C2 C1 C1 [1153] C1 C1 C1 C1 C1 C1 C1 C2 C1 C1 C2 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 [1177] C1 C1 C1 C1 C1 C1 C2 C1 C1 C1 C1 C2 C2 C2 C2 C1 C1 C1 C1 C1 C2 C1 C2 C1 [1201] C1 C1 C1 C1 C1 C2 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 C2 C1 C1 C1 C1 C1 C1 C2 [1225] C1 C1 C1 C1 C2 C1 C1 C1 C2 C2 C1 C1 C2 C1 C2 C1 C2 C1 C1 C1 C2 C1 C1 C2 [1249] C1 C1 C1 C1 C1 C1 C2 C1 C2 C2 C2 C1 C2 C2 C1 C1 C1 C1 C1 C1 C1 C1 C1 C1 [1273] C1 C1 C1 C1 C1 C2 C1 C1 C1 C1 C1 C1 C1 C1 C2 C1 C1 C1 C2 C1 C1 C1 C1 C1 [1297] C1 C1 C1 C1 C2 C1 C1 C1 C1 C1 C1 C1 C1 Levels: C1 C2 > 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/1yh181293041547.tab") + } + } > m Conditional inference tree with 8 terminal nodes Response: as.factor(survived) Inputs: age, pclass, sex, sibsp, parch. Number of observations: 1309 1) sex <= 1; criterion = 1, statistic = 365.607 2) pclass <= 1; criterion = 1, statistic = 24.611 3) age <= 55; criterion = 0.973, statistic = 7.737 4)* weights = 155 3) age > 55 5)* weights = 24 2) pclass > 1 6) age <= 10; criterion = 1, statistic = 22.862 7) sibsp <= 2; criterion = 1, statistic = 17.185 8)* weights = 27 7) sibsp > 2 9)* weights = 18 6) age > 10 10)* weights = 619 1) sex > 1 11) pclass <= 2; criterion = 1, statistic = 105.161 12)* weights = 250 11) pclass > 2 13) sibsp <= 2; criterion = 0.995, statistic = 10.8 14)* weights = 195 13) sibsp > 2 15)* weights = 21 > postscript(file="/var/www/html/rcomp/tmp/2yh181293041547.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/3yh181293041547.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 2 [2,] 2 1 [3,] 1 2 [4,] 1 1 [5,] 1 2 [6,] 2 1 [7,] 2 2 [8,] 1 1 [9,] 2 2 [10,] 1 1 [11,] 1 1 [12,] 2 2 [13,] 2 2 [14,] 2 2 [15,] 2 1 [16,] 1 1 [17,] 1 1 [18,] 2 2 [19,] 2 2 [20,] 1 1 [21,] 2 1 [22,] 2 2 [23,] 2 1 [24,] 2 2 [25,] 2 2 [26,] 1 1 [27,] 2 1 [28,] 2 2 [29,] 2 2 [30,] 2 1 [31,] 1 1 [32,] 2 1 [33,] 2 2 [34,] 2 2 [35,] 1 1 [36,] 2 2 [37,] 2 2 [38,] 2 1 [39,] 1 1 [40,] 1 1 [41,] 1 1 [42,] 2 2 [43,] 2 2 [44,] 2 2 [45,] 2 2 [46,] 1 1 [47,] 1 1 [48,] 2 1 [49,] 2 2 [50,] 2 1 [51,] 2 2 [52,] 1 1 [53,] 1 1 [54,] 1 1 [55,] 2 1 [56,] 2 2 [57,] 2 1 [58,] 2 2 [59,] 1 1 [60,] 2 2 [61,] 1 1 [62,] 2 2 [63,] 1 1 [64,] 2 2 [65,] 2 1 [66,] 2 2 [67,] 2 2 [68,] 2 2 [69,] 2 1 [70,] 2 2 [71,] 1 1 [72,] 1 1 [73,] 2 2 [74,] 2 2 [75,] 1 1 [76,] 1 1 [77,] 2 2 [78,] 1 1 [79,] 2 2 [80,] 2 2 [81,] 1 1 [82,] 1 1 [83,] 2 2 [84,] 2 2 [85,] 1 1 [86,] 2 2 [87,] 2 1 [88,] 2 1 [89,] 2 2 [90,] 1 1 [91,] 2 2 [92,] 2 1 [93,] 2 2 [94,] 2 1 [95,] 2 1 [96,] 2 2 [97,] 1 1 [98,] 2 2 [99,] 2 2 [100,] 2 2 [101,] 2 1 [102,] 1 1 [103,] 2 2 [104,] 2 2 [105,] 2 2 [106,] 1 2 [107,] 1 1 [108,] 2 2 [109,] 2 2 [110,] 2 1 [111,] 1 1 [112,] 2 2 [113,] 2 2 [114,] 2 2 [115,] 1 1 [116,] 1 1 [117,] 2 2 [118,] 2 2 [119,] 1 1 [120,] 2 1 [121,] 2 1 [122,] 2 2 [123,] 2 2 [124,] 2 1 [125,] 2 2 [126,] 1 1 [127,] 1 1 [128,] 2 2 [129,] 1 1 [130,] 2 2 [131,] 2 2 [132,] 2 2 [133,] 1 1 [134,] 2 1 [135,] 2 2 [136,] 1 1 [137,] 2 1 [138,] 2 2 [139,] 1 1 [140,] 2 2 [141,] 2 1 [142,] 2 2 [143,] 1 1 [144,] 2 1 [145,] 2 2 [146,] 2 1 [147,] 2 2 [148,] 1 1 [149,] 1 1 [150,] 2 2 [151,] 1 1 [152,] 2 1 [153,] 2 1 [154,] 2 2 [155,] 1 1 [156,] 2 2 [157,] 1 1 [158,] 1 1 [159,] 1 1 [160,] 2 2 [161,] 2 2 [162,] 2 2 [163,] 1 1 [164,] 2 2 [165,] 2 1 [166,] 2 1 [167,] 1 1 [168,] 2 2 [169,] 2 2 [170,] 1 2 [171,] 2 1 [172,] 1 1 [173,] 1 1 [174,] 1 1 [175,] 1 1 [176,] 1 1 [177,] 2 2 [178,] 2 1 [179,] 2 2 [180,] 1 1 [181,] 2 2 [182,] 2 2 [183,] 2 2 [184,] 2 1 [185,] 1 1 [186,] 1 1 [187,] 2 2 [188,] 2 2 [189,] 2 2 [190,] 1 1 [191,] 2 2 [192,] 1 1 [193,] 2 2 [194,] 2 2 [195,] 1 1 [196,] 2 2 [197,] 2 1 [198,] 1 1 [199,] 2 2 [200,] 2 2 [201,] 1 1 [202,] 1 1 [203,] 2 1 [204,] 1 1 [205,] 2 2 [206,] 1 1 [207,] 1 1 [208,] 2 2 [209,] 2 2 [210,] 2 1 [211,] 1 1 [212,] 1 1 [213,] 1 1 [214,] 2 2 [215,] 2 2 [216,] 1 1 [217,] 2 2 [218,] 1 1 [219,] 2 2 [220,] 2 1 [221,] 2 2 [222,] 1 1 [223,] 1 1 [224,] 1 1 [225,] 1 1 [226,] 1 1 [227,] 1 1 [228,] 2 2 [229,] 1 1 [230,] 2 2 [231,] 2 2 [232,] 2 1 [233,] 1 1 [234,] 2 2 [235,] 1 1 [236,] 2 1 [237,] 1 1 [238,] 1 1 [239,] 2 2 [240,] 1 1 [241,] 2 1 [242,] 1 1 [243,] 2 2 [244,] 1 1 [245,] 1 1 [246,] 2 2 [247,] 1 1 [248,] 2 2 [249,] 1 1 [250,] 2 1 [251,] 2 2 [252,] 2 2 [253,] 1 1 [254,] 2 2 [255,] 2 1 [256,] 2 2 [257,] 2 1 [258,] 2 2 [259,] 2 2 [260,] 2 1 [261,] 2 2 [262,] 2 1 [263,] 1 1 [264,] 2 2 [265,] 2 1 [266,] 2 1 [267,] 1 1 [268,] 1 1 [269,] 1 1 [270,] 1 1 [271,] 2 2 [272,] 2 1 [273,] 2 2 [274,] 2 1 [275,] 2 1 [276,] 2 2 [277,] 1 1 [278,] 2 2 [279,] 2 1 [280,] 1 1 [281,] 2 1 [282,] 2 2 [283,] 2 2 [284,] 1 1 [285,] 2 2 [286,] 1 1 [287,] 1 2 [288,] 1 1 [289,] 2 2 [290,] 2 2 [291,] 1 1 [292,] 2 2 [293,] 2 1 [294,] 2 2 [295,] 1 1 [296,] 2 1 [297,] 2 2 [298,] 2 2 [299,] 2 1 [300,] 1 1 [301,] 1 1 [302,] 1 1 [303,] 2 2 [304,] 1 1 [305,] 2 2 [306,] 1 1 [307,] 1 1 [308,] 1 1 [309,] 2 2 [310,] 2 2 [311,] 1 1 [312,] 2 2 [313,] 1 1 [314,] 1 1 [315,] 2 2 [316,] 2 2 [317,] 1 1 [318,] 2 1 [319,] 1 1 [320,] 2 2 [321,] 2 1 [322,] 1 1 [323,] 2 2 [324,] 1 1 [325,] 2 2 [326,] 1 1 [327,] 1 1 [328,] 1 1 [329,] 1 1 [330,] 2 2 [331,] 1 1 [332,] 1 1 [333,] 1 1 [334,] 2 2 [335,] 1 1 [336,] 1 1 [337,] 2 1 [338,] 2 2 [339,] 1 1 [340,] 2 2 [341,] 2 2 [342,] 2 2 [343,] 2 2 [344,] 2 1 [345,] 2 2 [346,] 1 1 [347,] 1 1 [348,] 1 1 [349,] 1 1 [350,] 2 2 [351,] 2 2 [352,] 1 1 [353,] 2 2 [354,] 2 2 [355,] 1 1 [356,] 2 2 [357,] 1 1 [358,] 1 1 [359,] 2 2 [360,] 2 2 [361,] 2 1 [362,] 2 2 [363,] 2 2 [364,] 1 1 [365,] 1 1 [366,] 1 2 [367,] 1 1 [368,] 1 1 [369,] 1 1 [370,] 1 2 [371,] 2 2 [372,] 2 2 [373,] 1 1 [374,] 2 2 [375,] 1 1 [376,] 1 1 [377,] 2 1 [378,] 2 2 [379,] 1 1 [380,] 2 2 [381,] 2 2 [382,] 1 2 [383,] 1 2 [384,] 1 1 [385,] 1 1 [386,] 2 2 [387,] 1 1 [388,] 2 2 [389,] 2 2 [390,] 1 1 [391,] 1 1 [392,] 1 1 [393,] 2 2 [394,] 1 1 [395,] 1 1 [396,] 2 2 [397,] 2 2 [398,] 1 1 [399,] 2 2 [400,] 1 1 [401,] 2 2 [402,] 2 2 [403,] 2 2 [404,] 1 1 [405,] 1 1 [406,] 1 1 [407,] 1 1 [408,] 2 2 [409,] 1 1 [410,] 1 1 [411,] 1 1 [412,] 1 2 [413,] 1 1 [414,] 1 1 [415,] 1 1 [416,] 2 2 [417,] 1 1 [418,] 1 1 [419,] 1 1 [420,] 1 1 [421,] 1 1 [422,] 1 1 [423,] 1 1 [424,] 1 1 [425,] 1 1 [426,] 1 1 [427,] 1 1 [428,] 2 2 [429,] 2 2 [430,] 1 1 [431,] 2 2 [432,] 1 1 [433,] 2 1 [434,] 1 1 [435,] 2 2 [436,] 1 1 [437,] 2 2 [438,] 2 2 [439,] 2 2 [440,] 1 1 [441,] 2 2 [442,] 2 2 [443,] 1 1 [444,] 1 1 [445,] 1 1 [446,] 1 2 [447,] 2 2 [448,] 1 1 [449,] 1 1 [450,] 2 2 [451,] 1 1 [452,] 1 1 [453,] 2 2 [454,] 1 1 [455,] 2 1 [456,] 1 1 [457,] 1 2 [458,] 1 1 [459,] 2 2 [460,] 1 1 [461,] 2 2 [462,] 1 1 [463,] 1 1 [464,] 1 1 [465,] 1 1 [466,] 2 2 [467,] 1 1 [468,] 2 2 [469,] 1 2 [470,] 2 2 [471,] 1 1 [472,] 2 2 [473,] 1 1 [474,] 1 1 [475,] 1 1 [476,] 1 2 [477,] 1 1 [478,] 1 1 [479,] 2 2 [480,] 2 2 [481,] 1 1 [482,] 2 2 [483,] 2 2 [484,] 2 2 [485,] 2 2 [486,] 1 1 [487,] 1 1 [488,] 1 1 [489,] 1 1 [490,] 2 2 [491,] 1 2 [492,] 1 1 [493,] 2 2 [494,] 1 1 [495,] 2 2 [496,] 1 1 [497,] 1 1 [498,] 1 1 [499,] 1 1 [500,] 1 1 [501,] 1 1 [502,] 2 2 [503,] 2 2 [504,] 2 1 [505,] 1 1 [506,] 1 1 [507,] 1 1 [508,] 1 1 [509,] 1 1 [510,] 1 1 [511,] 1 1 [512,] 1 1 [513,] 1 1 [514,] 2 2 [515,] 2 2 [516,] 2 2 [517,] 1 1 [518,] 1 1 [519,] 1 1 [520,] 1 1 [521,] 2 1 [522,] 2 2 [523,] 1 1 [524,] 2 1 [525,] 2 1 [526,] 1 1 [527,] 2 1 [528,] 1 1 [529,] 1 1 [530,] 2 2 [531,] 1 1 [532,] 1 1 [533,] 1 1 [534,] 2 2 [535,] 2 2 [536,] 1 1 [537,] 2 2 [538,] 1 1 [539,] 2 1 [540,] 1 1 [541,] 2 2 [542,] 2 2 [543,] 2 2 [544,] 1 1 [545,] 1 1 [546,] 2 2 [547,] 2 2 [548,] 1 1 [549,] 2 2 [550,] 2 2 [551,] 2 2 [552,] 2 2 [553,] 1 1 [554,] 2 2 [555,] 1 1 [556,] 1 1 [557,] 1 1 [558,] 2 2 [559,] 2 2 [560,] 2 2 [561,] 2 2 [562,] 1 1 [563,] 2 2 [564,] 1 1 [565,] 2 2 [566,] 1 1 [567,] 1 1 [568,] 1 1 [569,] 1 1 [570,] 1 1 [571,] 2 2 [572,] 1 1 [573,] 2 2 [574,] 2 2 [575,] 1 1 [576,] 1 2 [577,] 1 1 [578,] 2 2 [579,] 1 1 [580,] 1 1 [581,] 2 2 [582,] 1 1 [583,] 2 2 [584,] 2 2 [585,] 2 2 [586,] 1 1 [587,] 2 2 [588,] 2 2 [589,] 2 2 [590,] 2 2 [591,] 2 2 [592,] 2 2 [593,] 1 1 [594,] 2 2 [595,] 1 1 [596,] 1 1 [597,] 2 1 [598,] 2 1 [599,] 2 2 [600,] 1 2 [601,] 1 1 [602,] 1 1 [603,] 1 1 [604,] 2 2 [605,] 2 2 [606,] 2 1 [607,] 2 1 [608,] 2 2 [609,] 1 1 [610,] 1 1 [611,] 1 2 [612,] 2 2 [613,] 2 2 [614,] 2 1 [615,] 1 1 [616,] 1 1 [617,] 1 1 [618,] 1 1 [619,] 1 1 [620,] 1 1 [621,] 1 1 [622,] 2 2 [623,] 1 1 [624,] 1 1 [625,] 1 1 [626,] 2 1 [627,] 1 1 [628,] 1 1 [629,] 1 1 [630,] 1 1 [631,] 2 1 [632,] 1 1 [633,] 1 2 [634,] 1 1 [635,] 1 1 [636,] 1 1 [637,] 1 2 [638,] 1 1 [639,] 1 1 [640,] 1 1 [641,] 1 1 [642,] 2 1 [643,] 1 1 [644,] 2 1 [645,] 1 1 [646,] 2 1 [647,] 2 2 [648,] 2 2 [649,] 1 1 [650,] 1 1 [651,] 1 2 [652,] 1 1 [653,] 1 1 [654,] 2 2 [655,] 1 1 [656,] 1 1 [657,] 2 1 [658,] 2 2 [659,] 2 2 [660,] 2 2 [661,] 2 2 [662,] 2 2 [663,] 1 1 [664,] 1 1 [665,] 2 1 [666,] 1 2 [667,] 1 2 [668,] 1 2 [669,] 1 1 [670,] 1 1 [671,] 1 1 [672,] 1 1 [673,] 1 1 [674,] 1 1 [675,] 2 1 [676,] 1 1 [677,] 1 1 [678,] 1 1 [679,] 1 2 [680,] 1 2 [681,] 1 1 [682,] 1 2 [683,] 1 2 [684,] 1 1 [685,] 1 2 [686,] 1 1 [687,] 2 2 [688,] 1 2 [689,] 1 1 [690,] 1 1 [691,] 1 1 [692,] 1 1 [693,] 1 2 [694,] 2 1 [695,] 1 1 [696,] 1 2 [697,] 1 2 [698,] 1 2 [699,] 1 1 [700,] 1 1 [701,] 1 1 [702,] 1 1 [703,] 1 2 [704,] 1 1 [705,] 1 1 [706,] 1 1 [707,] 1 2 [708,] 1 1 [709,] 1 1 [710,] 2 2 [711,] 1 2 [712,] 1 1 [713,] 1 1 [714,] 1 1 [715,] 2 1 [716,] 1 1 [717,] 1 1 [718,] 1 1 [719,] 1 1 [720,] 2 1 [721,] 1 1 [722,] 1 1 [723,] 1 1 [724,] 1 1 [725,] 1 1 [726,] 2 2 [727,] 1 2 [728,] 1 1 [729,] 1 1 [730,] 1 1 [731,] 1 1 [732,] 1 1 [733,] 1 1 [734,] 2 2 [735,] 2 2 [736,] 2 2 [737,] 1 1 [738,] 1 1 [739,] 2 2 [740,] 1 1 [741,] 1 1 [742,] 1 1 [743,] 2 1 [744,] 1 2 [745,] 1 1 [746,] 2 2 [747,] 2 1 [748,] 1 2 [749,] 1 1 [750,] 1 2 [751,] 1 1 [752,] 1 1 [753,] 1 1 [754,] 1 1 [755,] 1 1 [756,] 1 1 [757,] 1 1 [758,] 2 2 [759,] 2 1 [760,] 2 2 [761,] 2 1 [762,] 1 1 [763,] 2 2 [764,] 2 2 [765,] 1 1 [766,] 2 2 [767,] 1 1 [768,] 1 1 [769,] 1 1 [770,] 1 1 [771,] 1 1 [772,] 2 2 [773,] 1 1 [774,] 1 1 [775,] 1 1 [776,] 1 1 [777,] 1 1 [778,] 2 1 [779,] 2 2 [780,] 1 2 [781,] 2 2 [782,] 1 1 [783,] 1 1 [784,] 2 1 [785,] 1 1 [786,] 2 2 [787,] 1 1 [788,] 1 1 [789,] 1 1 [790,] 1 1 [791,] 1 1 [792,] 1 1 [793,] 1 1 [794,] 1 1 [795,] 2 2 [796,] 1 1 [797,] 1 1 [798,] 1 1 [799,] 2 1 [800,] 1 1 [801,] 1 2 [802,] 1 1 [803,] 1 1 [804,] 1 1 [805,] 1 1 [806,] 2 1 [807,] 1 2 [808,] 1 2 [809,] 1 1 [810,] 1 1 [811,] 1 1 [812,] 1 2 [813,] 1 1 [814,] 1 1 [815,] 1 1 [816,] 1 1 [817,] 1 1 [818,] 1 1 [819,] 2 2 [820,] 2 2 [821,] 2 2 [822,] 1 1 [823,] 1 1 [824,] 2 2 [825,] 1 1 [826,] 1 1 [827,] 1 1 [828,] 1 1 [829,] 1 1 [830,] 1 1 [831,] 1 1 [832,] 1 1 [833,] 1 2 [834,] 1 1 [835,] 1 1 [836,] 1 1 [837,] 1 1 [838,] 1 1 [839,] 1 1 [840,] 1 1 [841,] 1 2 [842,] 1 2 [843,] 1 1 [844,] 1 1 [845,] 1 1 [846,] 2 2 [847,] 1 1 [848,] 1 1 [849,] 1 1 [850,] 1 1 [851,] 1 1 [852,] 2 2 [853,] 1 2 [854,] 1 1 [855,] 1 1 [856,] 1 1 [857,] 2 2 [858,] 2 1 [859,] 2 1 [860,] 1 2 [861,] 2 2 [862,] 1 2 [863,] 2 2 [864,] 1 1 [865,] 1 2 [866,] 1 2 [867,] 2 2 [868,] 2 2 [869,] 1 1 [870,] 1 1 [871,] 2 2 [872,] 1 1 [873,] 2 2 [874,] 1 1 [875,] 2 1 [876,] 1 1 [877,] 1 1 [878,] 1 2 [879,] 1 2 [880,] 1 1 [881,] 2 1 [882,] 2 1 [883,] 1 1 [884,] 1 1 [885,] 1 1 [886,] 1 1 [887,] 2 2 [888,] 2 1 [889,] 1 1 [890,] 2 1 [891,] 1 1 [892,] 1 1 [893,] 1 1 [894,] 1 1 [895,] 2 2 [896,] 2 2 [897,] 1 1 [898,] 1 1 [899,] 1 1 [900,] 2 2 [901,] 1 1 [902,] 1 2 [903,] 1 1 [904,] 1 2 [905,] 1 1 [906,] 2 1 [907,] 1 1 [908,] 1 2 [909,] 1 2 [910,] 2 1 [911,] 1 1 [912,] 1 1 [913,] 1 1 [914,] 2 1 [915,] 1 1 [916,] 1 1 [917,] 2 2 [918,] 2 1 [919,] 1 1 [920,] 1 1 [921,] 1 1 [922,] 1 1 [923,] 2 2 [924,] 2 2 [925,] 1 1 [926,] 1 1 [927,] 2 1 [928,] 1 1 [929,] 1 2 [930,] 1 1 [931,] 1 1 [932,] 1 1 [933,] 1 2 [934,] 1 1 [935,] 2 2 [936,] 2 1 [937,] 2 2 [938,] 1 2 [939,] 1 1 [940,] 1 2 [941,] 1 1 [942,] 2 1 [943,] 1 1 [944,] 1 2 [945,] 1 1 [946,] 2 1 [947,] 1 1 [948,] 2 2 [949,] 1 1 [950,] 2 1 [951,] 1 1 [952,] 1 1 [953,] 1 1 [954,] 2 1 [955,] 1 1 [956,] 1 1 [957,] 1 1 [958,] 1 1 [959,] 1 2 [960,] 1 1 [961,] 1 1 [962,] 1 2 [963,] 1 1 [964,] 1 1 [965,] 1 1 [966,] 1 1 [967,] 1 2 [968,] 1 2 [969,] 1 1 [970,] 1 2 [971,] 2 1 [972,] 1 1 [973,] 1 1 [974,] 1 1 [975,] 1 1 [976,] 1 2 [977,] 1 1 [978,] 1 1 [979,] 2 1 [980,] 1 1 [981,] 2 2 [982,] 2 1 [983,] 1 1 [984,] 1 1 [985,] 2 2 [986,] 2 1 [987,] 1 1 [988,] 1 2 [989,] 1 1 [990,] 1 1 [991,] 1 1 [992,] 2 1 [993,] 1 2 [994,] 2 2 [995,] 1 1 [996,] 1 1 [997,] 1 1 [998,] 2 2 [999,] 1 1 [1000,] 2 2 [1001,] 2 1 [1002,] 2 2 [1003,] 2 2 [1004,] 2 1 [1005,] 2 2 [1006,] 1 1 [1007,] 2 2 [1008,] 2 2 [1009,] 1 2 [1010,] 1 1 [1011,] 1 1 [1012,] 1 2 [1013,] 1 2 [1014,] 1 2 [1015,] 1 2 [1016,] 1 1 [1017,] 1 1 [1018,] 2 1 [1019,] 1 1 [1020,] 1 1 [1021,] 1 1 [1022,] 1 1 [1023,] 1 1 [1024,] 2 2 [1025,] 1 1 [1026,] 2 2 [1027,] 2 2 [1028,] 1 1 [1029,] 2 2 [1030,] 1 1 [1031,] 1 1 [1032,] 1 1 [1033,] 1 1 [1034,] 2 1 [1035,] 2 1 [1036,] 2 1 [1037,] 2 2 [1038,] 2 2 [1039,] 1 1 [1040,] 2 2 [1041,] 2 2 [1042,] 1 1 [1043,] 2 2 [1044,] 2 2 [1045,] 2 2 [1046,] 1 1 [1047,] 1 1 [1048,] 2 2 [1049,] 2 2 [1050,] 2 1 [1051,] 2 2 [1052,] 1 1 [1053,] 1 1 [1054,] 1 1 [1055,] 1 2 [1056,] 1 1 [1057,] 2 1 [1058,] 2 2 [1059,] 1 2 [1060,] 1 1 [1061,] 2 2 [1062,] 2 2 [1063,] 1 1 [1064,] 1 1 [1065,] 2 1 [1066,] 1 1 [1067,] 1 1 [1068,] 2 2 [1069,] 1 1 [1070,] 1 1 [1071,] 1 1 [1072,] 2 2 [1073,] 1 1 [1074,] 1 1 [1075,] 1 1 [1076,] 1 1 [1077,] 1 2 [1078,] 2 2 [1079,] 2 2 [1080,] 2 2 [1081,] 2 1 [1082,] 2 2 [1083,] 2 2 [1084,] 1 1 [1085,] 1 1 [1086,] 1 1 [1087,] 1 2 [1088,] 1 1 [1089,] 2 1 [1090,] 1 1 [1091,] 1 2 [1092,] 1 2 [1093,] 1 1 [1094,] 1 1 [1095,] 2 2 [1096,] 1 2 [1097,] 1 1 [1098,] 1 1 [1099,] 1 1 [1100,] 1 1 [1101,] 1 2 [1102,] 1 1 [1103,] 1 1 [1104,] 1 1 [1105,] 1 1 [1106,] 1 1 [1107,] 1 2 [1108,] 1 1 [1109,] 1 1 [1110,] 1 1 [1111,] 1 1 [1112,] 1 2 [1113,] 1 2 [1114,] 1 2 [1115,] 1 1 [1116,] 1 1 [1117,] 1 1 [1118,] 1 1 [1119,] 1 1 [1120,] 1 1 [1121,] 2 1 [1122,] 2 1 [1123,] 2 2 [1124,] 2 2 [1125,] 1 2 [1126,] 1 1 [1127,] 1 2 [1128,] 1 1 [1129,] 1 2 [1130,] 1 1 [1131,] 1 2 [1132,] 2 1 [1133,] 1 1 [1134,] 1 1 [1135,] 1 1 [1136,] 1 1 [1137,] 1 2 [1138,] 1 1 [1139,] 1 1 [1140,] 1 1 [1141,] 1 1 [1142,] 1 1 [1143,] 1 1 [1144,] 1 1 [1145,] 1 1 [1146,] 1 1 [1147,] 1 2 [1148,] 1 2 [1149,] 1 1 [1150,] 2 2 [1151,] 1 1 [1152,] 1 2 [1153,] 1 1 [1154,] 1 2 [1155,] 1 1 [1156,] 1 1 [1157,] 1 2 [1158,] 1 1 [1159,] 1 2 [1160,] 2 2 [1161,] 1 1 [1162,] 1 1 [1163,] 2 1 [1164,] 1 1 [1165,] 1 1 [1166,] 1 1 [1167,] 1 1 [1168,] 1 1 [1169,] 1 1 [1170,] 1 1 [1171,] 1 1 [1172,] 1 1 [1173,] 1 1 [1174,] 1 1 [1175,] 1 1 [1176,] 1 1 [1177,] 1 1 [1178,] 1 1 [1179,] 1 1 [1180,] 1 1 [1181,] 1 2 [1182,] 1 1 [1183,] 2 2 [1184,] 1 1 [1185,] 1 1 [1186,] 1 1 [1187,] 1 1 [1188,] 2 2 [1189,] 2 2 [1190,] 2 2 [1191,] 2 1 [1192,] 1 1 [1193,] 1 1 [1194,] 1 1 [1195,] 1 1 [1196,] 1 1 [1197,] 2 1 [1198,] 1 1 [1199,] 2 2 [1200,] 1 1 [1201,] 1 1 [1202,] 1 1 [1203,] 1 1 [1204,] 1 1 [1205,] 1 1 [1206,] 2 2 [1207,] 1 1 [1208,] 1 1 [1209,] 1 1 [1210,] 1 1 [1211,] 1 1 [1212,] 1 2 [1213,] 1 1 [1214,] 1 1 [1215,] 1 1 [1216,] 1 1 [1217,] 2 2 [1218,] 1 1 [1219,] 1 1 [1220,] 1 1 [1221,] 1 1 [1222,] 1 1 [1223,] 1 1 [1224,] 2 2 [1225,] 1 1 [1226,] 1 1 [1227,] 1 1 [1228,] 1 2 [1229,] 2 1 [1230,] 1 1 [1231,] 1 2 [1232,] 1 2 [1233,] 2 1 [1234,] 2 1 [1235,] 1 1 [1236,] 1 1 [1237,] 2 1 [1238,] 1 1 [1239,] 2 1 [1240,] 1 1 [1241,] 2 2 [1242,] 1 1 [1243,] 1 1 [1244,] 1 1 [1245,] 2 2 [1246,] 1 1 [1247,] 1 1 [1248,] 2 2 [1249,] 1 1 [1250,] 1 1 [1251,] 1 1 [1252,] 1 1 [1253,] 1 1 [1254,] 1 2 [1255,] 2 1 [1256,] 1 1 [1257,] 2 2 [1258,] 2 2 [1259,] 2 2 [1260,] 1 1 [1261,] 2 2 [1262,] 2 2 [1263,] 1 1 [1264,] 1 1 [1265,] 1 1 [1266,] 1 2 [1267,] 1 1 [1268,] 1 2 [1269,] 1 1 [1270,] 1 1 [1271,] 1 1 [1272,] 1 1 [1273,] 1 1 [1274,] 1 2 [1275,] 1 1 [1276,] 1 1 [1277,] 1 2 [1278,] 2 1 [1279,] 1 1 [1280,] 1 2 [1281,] 1 1 [1282,] 1 1 [1283,] 1 1 [1284,] 1 1 [1285,] 1 1 [1286,] 1 1 [1287,] 2 2 [1288,] 1 1 [1289,] 1 1 [1290,] 1 1 [1291,] 2 2 [1292,] 1 1 [1293,] 1 1 [1294,] 1 1 [1295,] 1 1 [1296,] 1 1 [1297,] 1 1 [1298,] 1 2 [1299,] 1 1 [1300,] 1 1 [1301,] 2 2 [1302,] 1 1 [1303,] 1 1 [1304,] 1 1 [1305,] 1 2 [1306,] 1 2 [1307,] 1 1 [1308,] 1 1 [1309,] 1 1 C1 C2 C1 694 115 C2 143 357 > postscript(file="/var/www/html/rcomp/tmp/4991t1293041547.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/5n1g21293041547.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/6gaym1293041547.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/71swa1293041547.tab") + } > > try(system("convert tmp/2yh181293041547.ps tmp/2yh181293041547.png",intern=TRUE)) character(0) > try(system("convert tmp/3yh181293041547.ps tmp/3yh181293041547.png",intern=TRUE)) character(0) > try(system("convert tmp/4991t1293041547.ps tmp/4991t1293041547.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 13.005 0.588 26.188