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Type 'q()' to quit R. > x <- array(list(13 + ,13 + ,14 + ,13 + ,3 + ,12 + ,12 + ,8 + ,13 + ,5 + ,15 + ,10 + ,12 + ,16 + ,6 + ,12 + ,9 + ,7 + ,12 + ,6 + ,10 + ,10 + ,10 + ,11 + ,5 + ,12 + ,12 + ,7 + ,12 + ,3 + ,15 + ,13 + ,16 + ,18 + ,8 + ,9 + ,12 + ,11 + ,11 + ,4 + ,11 + ,5 + ,16 + ,14 + ,6 + ,12 + ,12 + ,14 + ,14 + ,4 + ,11 + ,6 + ,6 + ,9 + ,4 + ,15 + ,11 + ,16 + ,11 + ,5 + ,11 + ,12 + ,11 + ,12 + ,6 + ,7 + ,14 + ,12 + ,12 + ,4 + ,11 + ,14 + ,7 + ,13 + ,6 + ,11 + ,12 + ,13 + ,11 + ,4 + ,10 + ,12 + ,11 + ,12 + ,6 + ,6 + ,7 + ,9 + ,11 + ,4 + ,11 + ,9 + ,7 + ,13 + ,2 + ,15 + ,11 + ,14 + ,15 + ,7 + ,11 + ,11 + ,15 + ,10 + ,5 + ,12 + ,12 + ,7 + ,11 + ,4 + ,14 + ,12 + ,15 + ,13 + ,6 + ,15 + ,11 + ,17 + ,16 + ,6 + ,13 + ,8 + ,14 + ,14 + ,5 + ,13 + ,9 + ,14 + ,14 + ,6 + ,16 + ,12 + ,8 + ,14 + ,4 + ,13 + ,10 + ,8 + ,8 + ,4 + ,12 + ,10 + ,14 + ,13 + ,7 + ,11 + ,8 + ,8 + ,13 + ,4 + ,9 + ,12 + ,11 + ,11 + ,4 + ,16 + ,11 + ,16 + ,15 + ,6 + ,12 + ,12 + ,10 + ,15 + ,6 + ,10 + ,7 + ,8 + ,9 + ,5 + ,13 + ,11 + ,14 + ,13 + ,6 + ,16 + ,11 + ,16 + ,16 + ,7 + ,14 + ,12 + ,13 + ,13 + ,6 + ,15 + ,9 + ,5 + ,11 + ,3 + ,5 + ,15 + ,8 + ,12 + ,3 + ,8 + ,11 + ,10 + ,12 + ,4 + ,11 + ,11 + ,8 + ,12 + ,6 + ,16 + ,11 + ,13 + ,14 + ,7 + ,9 + ,15 + ,6 + ,8 + ,4 + ,9 + ,11 + ,12 + ,13 + ,5 + ,13 + ,12 + ,16 + ,16 + ,6 + ,10 + ,12 + ,5 + ,13 + ,6 + ,6 + ,9 + ,15 + ,11 + ,6 + ,12 + ,12 + ,12 + ,14 + ,5 + ,8 + ,12 + ,8 + ,13 + ,4 + ,14 + ,13 + ,13 + ,13 + ,5 + ,12 + ,11 + ,14 + ,13 + ,5 + ,11 + ,9 + ,12 + ,12 + ,4 + ,16 + ,9 + ,16 + ,16 + ,6 + ,8 + ,11 + ,10 + ,15 + ,2 + ,15 + ,11 + ,15 + ,15 + ,8 + ,7 + ,12 + ,8 + ,12 + ,3 + ,16 + ,12 + ,16 + ,14 + ,6 + ,14 + ,9 + ,19 + ,12 + ,6 + ,9 + ,9 + ,6 + ,12 + ,5 + ,14 + ,12 + ,13 + ,13 + ,5 + ,11 + ,12 + ,15 + ,12 + ,6 + ,13 + ,12 + ,7 + ,12 + ,5 + ,15 + ,12 + ,13 + ,13 + ,6 + ,5 + ,14 + ,4 + ,5 + ,2 + ,15 + ,11 + ,14 + ,13 + ,5 + ,13 + ,12 + ,13 + ,13 + ,5 + ,11 + ,11 + ,11 + ,14 + ,5 + ,11 + ,6 + ,14 + ,17 + ,6 + ,12 + ,10 + ,12 + ,13 + ,6 + ,12 + ,12 + ,15 + ,13 + ,6 + ,12 + ,13 + ,14 + ,12 + ,5 + ,12 + ,8 + ,13 + ,13 + ,5 + ,14 + ,12 + ,8 + ,14 + ,4 + ,6 + ,12 + ,6 + ,11 + ,2 + ,7 + ,12 + ,7 + ,12 + ,4 + ,14 + ,6 + ,13 + ,12 + ,6 + ,14 + ,11 + ,13 + ,16 + ,6 + ,10 + ,10 + ,11 + ,12 + ,5 + ,13 + ,12 + ,5 + ,12 + ,3 + ,12 + ,13 + ,12 + ,12 + ,6 + ,9 + ,11 + ,8 + ,10 + ,4 + ,12 + ,7 + ,11 + ,15 + ,5 + ,16 + ,11 + ,14 + ,15 + ,8 + ,10 + ,11 + ,9 + ,12 + ,4 + ,14 + ,11 + ,10 + ,16 + ,6 + ,10 + ,11 + ,13 + ,15 + ,6 + ,16 + ,12 + ,16 + ,16 + ,7 + ,15 + ,10 + ,16 + ,13 + ,6 + ,12 + ,11 + ,11 + ,12 + ,5 + ,10 + ,12 + ,8 + ,11 + ,4 + ,8 + ,7 + ,4 + ,13 + ,6 + ,8 + ,13 + ,7 + ,10 + ,3 + ,11 + ,8 + ,14 + ,15 + ,5 + ,13 + ,12 + ,11 + ,13 + ,6 + ,16 + ,11 + ,17 + ,16 + ,7 + ,16 + ,12 + ,15 + ,15 + ,7 + ,14 + ,14 + ,17 + ,18 + ,6 + ,11 + ,10 + ,5 + ,13 + ,3 + ,4 + ,10 + ,4 + ,10 + ,2 + ,14 + ,13 + ,10 + ,16 + ,8 + ,9 + ,10 + ,11 + ,13 + ,3 + ,8 + ,10 + ,10 + ,14 + ,3 + ,8 + ,7 + ,9 + ,15 + ,4 + ,11 + ,10 + ,12 + ,14 + ,5 + ,12 + ,8 + ,15 + ,13 + ,7 + ,11 + ,12 + ,7 + ,13 + ,6 + ,14 + ,12 + ,13 + ,15 + ,6 + ,16 + ,11 + ,14 + ,14 + ,6 + ,15 + ,12 + ,12 + ,16 + ,7 + ,16 + ,12 + ,14 + ,14 + ,6 + ,14 + ,12 + ,15 + ,14 + ,6 + ,11 + ,12 + ,8 + ,16 + ,6 + ,14 + ,11 + ,12 + ,12 + ,4 + ,12 + ,12 + ,12 + ,13 + ,4 + ,14 + ,11 + ,16 + ,12 + ,5 + ,8 + ,11 + ,9 + ,12 + ,4 + ,13 + ,13 + ,15 + ,14 + ,6 + ,16 + ,12 + ,15 + ,14 + ,6 + ,12 + ,12 + ,6 + ,14 + ,5 + ,16 + ,12 + ,14 + ,16 + ,8 + ,12 + ,12 + ,15 + ,13 + ,6 + ,11 + ,8 + ,10 + ,14 + ,5 + ,4 + ,8 + ,6 + ,4 + ,4 + ,16 + ,12 + ,14 + ,16 + ,8 + ,15 + ,11 + ,12 + ,13 + ,6 + ,10 + ,12 + ,8 + ,16 + ,4 + ,13 + ,13 + ,11 + ,15 + ,6 + ,15 + ,12 + ,13 + ,14 + ,6 + ,12 + ,12 + ,9 + ,13 + ,4 + ,14 + ,11 + ,15 + ,14 + ,6 + ,7 + ,12 + ,13 + ,12 + ,3 + ,19 + ,12 + ,15 + ,15 + ,6 + ,12 + ,10 + ,14 + ,14 + ,5 + ,12 + ,11 + ,16 + ,13 + ,4 + ,13 + ,12 + ,14 + ,14 + ,6 + ,15 + ,12 + ,14 + ,16 + ,4 + ,8 + ,10 + ,10 + ,6 + ,4 + ,12 + ,12 + ,10 + ,13 + ,4 + ,10 + ,13 + ,4 + ,13 + ,6 + ,8 + ,12 + ,8 + ,14 + ,5 + ,16 + ,12 + ,12 + ,15 + ,8 + ,13 + ,11 + ,12 + ,13 + ,7 + ,9 + ,11 + ,9 + ,12 + ,4 + ,14 + ,10 + ,12 + ,15 + ,6 + ,14 + ,11 + ,14 + ,12 + ,6 + ,12 + ,11 + ,11 + ,14 + ,2) + ,dim=c(5 + ,146) + ,dimnames=list(c('Popularity' + ,'Findingfriends' + ,'Knowingpeople' + ,'Liked' + ,'Celebrity ') + ,1:146)) > y <- array(NA,dim=c(5,146),dimnames=list(c('Popularity','Findingfriends','Knowingpeople','Liked','Celebrity '),1:146)) > for (i in 1:dim(x)[1]) + { + for (j in 1:dim(x)[2]) + { + y[i,j] <- as.numeric(x[i,j]) + } + } > par4 = 'yes' > par3 = '4' > par2 = 'equal' > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: > #Technical description: > library(party) Loading required package: survival Loading required package: splines Loading required package: grid Loading required package: modeltools Loading required package: stats4 Loading required package: coin Loading required package: mvtnorm Loading required package: zoo Loading required package: sandwich Loading required package: strucchange Loading required package: vcd Loading required package: MASS Loading required package: colorspace > library(Hmisc) Attaching package: 'Hmisc' The following object(s) are masked from 'package:survival': untangle.specials The following object(s) are masked from 'package:base': format.pval, round.POSIXt, trunc.POSIXt, units > par1 <- as.numeric(par1) > par3 <- as.numeric(par3) > x <- data.frame(t(y)) > is.data.frame(x) [1] TRUE > x <- x[!is.na(x[,par1]),] > k <- length(x[1,]) > n <- length(x[,1]) > colnames(x)[par1] [1] "Popularity" > x[,par1] [1] 13 12 15 12 10 12 15 9 11 12 11 15 11 7 11 11 10 6 11 15 11 12 14 15 13 [26] 13 16 13 12 11 9 16 12 10 13 16 14 15 5 8 11 16 9 9 13 10 6 12 8 14 [51] 12 11 16 8 15 7 16 14 9 14 11 13 15 5 15 13 11 11 12 12 12 12 14 6 7 [76] 14 14 10 13 12 9 12 16 10 14 10 16 15 12 10 8 8 11 13 16 16 14 11 4 14 [101] 9 8 8 11 12 11 14 16 15 16 14 11 14 12 14 8 13 16 12 16 12 11 4 16 15 [126] 10 13 15 12 14 7 19 12 12 13 15 8 12 10 8 16 13 9 14 14 12 > if (par2 == 'kmeans') { + cl <- kmeans(x[,par1], par3) + print(cl) + clm <- matrix(cbind(cl$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 C3 C4 11 47 71 17 > colnames(x) [1] "Popularity" "Findingfriends" "Knowingpeople" "Liked" [5] "Celebrity." > colnames(x)[par1] [1] "Popularity" > x[,par1] [1] C3 C3 C3 C3 C2 C3 C3 C2 C2 C3 C2 C3 C2 C1 C2 C2 C2 C1 C2 C3 C2 C3 C3 C3 C3 [26] C3 C4 C3 C3 C2 C2 C4 C3 C2 C3 C4 C3 C3 C1 C2 C2 C4 C2 C2 C3 C2 C1 C3 C2 C3 [51] C3 C2 C4 C2 C3 C1 C4 C3 C2 C3 C2 C3 C3 C1 C3 C3 C2 C2 C3 C3 C3 C3 C3 C1 C1 [76] C3 C3 C2 C3 C3 C2 C3 C4 C2 C3 C2 C4 C3 C3 C2 C2 C2 C2 C3 C4 C4 C3 C2 C1 C3 [101] C2 C2 C2 C2 C3 C2 C3 C4 C3 C4 C3 C2 C3 C3 C3 C2 C3 C4 C3 C4 C3 C2 C1 C4 C3 [126] C2 C3 C3 C3 C3 C1 C4 C3 C3 C3 C3 C2 C3 C2 C2 C4 C3 C2 C3 C3 C3 Levels: C1 C2 C3 C4 > if (par2 == 'none') { + m <- ctree(as.formula(paste(colnames(x)[par1],' ~ .',sep='')),data = x) + } > > #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/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/rcomp/tmp/1dzr81292016730.tab") + } + } m.ct.i.pred m.ct.i.actu 1 2 3 4 1 27 51 24 0 2 15 326 88 0 3 15 160 444 25 4 0 7 102 35 [1] 0.2647059 [1] 0.7599068 [1] 0.689441 [1] 0.2430556 [1] 0.6307809 m.ct.x.pred m.ct.x.actu 1 2 3 4 1 0 5 3 0 2 0 32 9 0 3 4 21 34 7 4 0 3 22 1 [1] 0 [1] 0.7804878 [1] 0.5151515 [1] 0.03846154 [1] 0.4751773 > m Conditional inference tree with 5 terminal nodes Response: as.factor(Popularity) Inputs: Findingfriends, Knowingpeople, Liked, Celebrity. Number of observations: 146 1) Celebrity. <= 6; criterion = 1, statistic = 46.943 2) Knowingpeople <= 11; criterion = 1, statistic = 32.099 3) Liked <= 12; criterion = 0.966, statistic = 11.667 4) Celebrity. <= 3; criterion = 0.979, statistic = 10.463 5)* weights = 9 4) Celebrity. > 3 6)* weights = 26 3) Liked > 12 7)* weights = 30 2) Knowingpeople > 11 8)* weights = 64 1) Celebrity. > 6 9)* weights = 17 > postscript(file="/var/www/rcomp/tmp/2dzr81292016730.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/rcomp/tmp/3dzr81292016730.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,] 3 3 [2,] 3 2 [3,] 3 3 [4,] 3 2 [5,] 2 2 [6,] 3 1 [7,] 3 4 [8,] 2 2 [9,] 2 3 [10,] 3 3 [11,] 2 2 [12,] 3 3 [13,] 2 2 [14,] 1 3 [15,] 2 2 [16,] 2 3 [17,] 2 2 [18,] 1 2 [19,] 2 2 [20,] 3 4 [21,] 2 3 [22,] 3 2 [23,] 3 3 [24,] 3 3 [25,] 3 3 [26,] 3 3 [27,] 4 2 [28,] 3 2 [29,] 3 4 [30,] 2 2 [31,] 2 2 [32,] 4 3 [33,] 3 2 [34,] 2 2 [35,] 3 3 [36,] 4 4 [37,] 3 3 [38,] 3 1 [39,] 1 1 [40,] 2 2 [41,] 2 2 [42,] 4 4 [43,] 2 2 [44,] 2 3 [45,] 3 3 [46,] 2 2 [47,] 1 3 [48,] 3 3 [49,] 2 2 [50,] 3 3 [51,] 3 3 [52,] 2 3 [53,] 4 3 [54,] 2 2 [55,] 3 4 [56,] 1 1 [57,] 4 3 [58,] 3 3 [59,] 2 2 [60,] 3 3 [61,] 2 3 [62,] 3 2 [63,] 3 3 [64,] 1 1 [65,] 3 3 [66,] 3 3 [67,] 2 2 [68,] 2 3 [69,] 3 3 [70,] 3 3 [71,] 3 3 [72,] 3 3 [73,] 3 2 [74,] 1 1 [75,] 1 2 [76,] 3 3 [77,] 3 3 [78,] 2 2 [79,] 3 1 [80,] 3 3 [81,] 2 2 [82,] 3 2 [83,] 4 4 [84,] 2 2 [85,] 3 2 [86,] 2 3 [87,] 4 4 [88,] 3 3 [89,] 3 2 [90,] 2 2 [91,] 2 2 [92,] 2 1 [93,] 2 3 [94,] 3 2 [95,] 4 4 [96,] 4 4 [97,] 3 3 [98,] 2 2 [99,] 1 1 [100,] 3 4 [101,] 2 2 [102,] 2 2 [103,] 2 2 [104,] 2 3 [105,] 3 4 [106,] 2 2 [107,] 3 3 [108,] 4 3 [109,] 3 4 [110,] 4 3 [111,] 3 3 [112,] 2 2 [113,] 3 3 [114,] 3 3 [115,] 3 3 [116,] 2 2 [117,] 3 3 [118,] 4 3 [119,] 3 2 [120,] 4 4 [121,] 3 3 [122,] 2 2 [123,] 1 2 [124,] 4 4 [125,] 3 3 [126,] 2 2 [127,] 3 2 [128,] 3 3 [129,] 3 2 [130,] 3 3 [131,] 1 3 [132,] 4 3 [133,] 3 3 [134,] 3 3 [135,] 3 3 [136,] 3 3 [137,] 2 2 [138,] 3 2 [139,] 2 2 [140,] 2 2 [141,] 4 4 [142,] 3 4 [143,] 2 2 [144,] 3 3 [145,] 3 3 [146,] 3 2 C1 C2 C3 C4 C1 5 3 3 0 C2 1 36 10 0 C3 3 16 44 8 C4 0 1 7 9 > postscript(file="/var/www/rcomp/tmp/4o88t1292016730.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/rcomp/tmp/5kiok1292016730.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/rcomp/tmp/66j5p1292016730.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/rcomp/tmp/7gsma1292016730.tab") + } > > try(system("convert tmp/2dzr81292016730.ps tmp/2dzr81292016730.png",intern=TRUE)) character(0) > try(system("convert tmp/3dzr81292016730.ps tmp/3dzr81292016730.png",intern=TRUE)) character(0) > try(system("convert tmp/4o88t1292016730.ps tmp/4o88t1292016730.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.640 0.430 3.049