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Type 'q()' to quit R. > x <- array(list(36 + ,29 + ,114.1 + ,4.3 + ,24 + ,31 + ,110.3 + ,3.9 + ,10 + ,31 + ,103.9 + ,4 + ,17 + ,33 + ,101.6 + ,4.3 + ,14 + ,37 + ,94.6 + ,4.8 + ,61 + ,30 + ,95.9 + ,4.4 + ,57 + ,20 + ,104.7 + ,4.3 + ,34 + ,19 + ,102.8 + ,4.7 + ,53 + ,17 + ,98.1 + ,4.7 + ,11 + ,22 + ,113.9 + ,4.9 + ,56 + ,12 + ,80.9 + ,5 + ,51 + ,25 + ,95.7 + ,4.2 + ,36 + ,25 + ,113.2 + ,4.3 + ,33 + ,29 + ,105.9 + ,4.8 + ,16 + ,32 + ,108.8 + ,4.8 + ,12 + ,31 + ,102.3 + ,4.8 + ,21 + ,28 + ,99 + ,4.2 + ,63 + ,28 + ,100.7 + ,4.6 + ,55 + ,28 + ,115.5 + ,4.8 + ,47 + ,32 + ,100.7 + ,4.5 + ,48 + ,35 + ,109.9 + ,4.4 + ,12 + ,30 + ,114.6 + ,4.3 + ,48 + ,32 + ,85.4 + ,3.9 + ,59 + ,38 + ,100.5 + ,3.7 + ,41 + ,37 + ,114.8 + ,4 + ,39 + ,28 + ,116.5 + ,4.1 + ,20 + ,34 + ,112.9 + ,3.7 + ,38 + ,35 + ,102 + ,3.8 + ,49 + ,32 + ,106 + ,3.8 + ,59 + ,39 + ,105.3 + ,3.8 + ,36 + ,37 + ,118.8 + ,3.3 + ,42 + ,38 + ,106.1 + ,3.3 + ,46 + ,35 + ,109.3 + ,3.3 + ,8 + ,25 + ,117.2 + ,3.2 + ,53 + ,25 + ,92.5 + ,3.4 + ,50 + ,26 + ,104.2 + ,4.2 + ,47 + ,13 + ,112.5 + ,4.9 + ,24 + ,19 + ,122.4 + ,5.1 + ,17 + ,17 + ,113.3 + ,5.5 + ,45 + ,21 + ,100 + ,5.6 + ,47 + ,23 + ,110.7 + ,6.4 + ,27 + ,18 + ,112.8 + ,6.1 + ,45 + ,12 + ,109.8 + ,7.1 + ,31 + ,7 + ,117.3 + ,7.8 + ,45 + ,4 + ,109.1 + ,7.9 + ,13 + ,14 + ,115.9 + ,7.4 + ,39 + ,16 + ,96 + ,7.5 + ,47 + ,13 + ,99.8 + ,6.8 + ,30 + ,13 + ,116.8 + ,5.2 + ,14 + ,10 + ,115.7 + ,4.7 + ,3 + ,19 + ,99.4 + ,4.1 + ,5 + ,13 + ,94.3 + ,3.9 + ,43 + ,14 + ,91 + ,2.6 + ,53 + ,25 + ,93.2 + ,2.7 + ,35 + ,28 + ,103.1 + ,1.8 + ,21 + ,30 + ,94.1 + ,1 + ,34 + ,31 + ,91.8 + ,0.3 + ,1 + ,42 + ,102.7 + ,1.3 + ,44 + ,41 + ,82.6 + ,1 + ,46 + ,38 + ,89.1 + ,1.1) + ,dim=c(4 + ,60) + ,dimnames=list(c('Conjunctuurenquête_Bouwnijverheid' + ,'consumentenvertrouwen' + ,'Industriële_Productie' + ,'Consumptieprijsindex') + ,1:60)) > y <- array(NA,dim=c(4,60),dimnames=list(c('Conjunctuurenquête_Bouwnijverheid','consumentenvertrouwen','Industriële_Productie','Consumptieprijsindex'),1:60)) > for (i in 1:dim(x)[1]) + { + for (j in 1:dim(x)[2]) + { + y[i,j] <- as.numeric(x[i,j]) + } + } > par1 = 'grey' > ylab = 'value' > xlab = 'variables' > main = 'Notched Boxplots' > z <- as.data.frame(t(y)) > postscript(file="/var/www/html/rcomp/tmp/1hxy91258477417.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > (r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=TRUE,col=par1)) $stats [,1] [,2] [,3] [,4] [1,] 1.0 4.0 80.90 2.60 [2,] 20.5 18.5 98.55 3.75 [3,] 38.5 28.0 104.45 4.30 [4,] 47.5 32.0 113.05 4.85 [5,] 63.0 42.0 122.40 6.40 $n [1] 60 60 60 60 $conf [,1] [,2] [,3] [,4] [1,] 32.99262 25.24631 101.4923 4.075625 [2,] 44.00738 30.75369 107.4077 4.524375 $out [1] 7.1 7.8 7.9 7.4 7.5 6.8 1.8 1.0 0.3 1.3 1.0 1.1 $group [1] 4 4 4 4 4 4 4 4 4 4 4 4 $names [1] "Conjunctuurenqu\352te_Bouwnijverheid" [2] "consumentenvertrouwen" [3] "Industri\353le_Productie" [4] "Consumptieprijsindex" > dev.off() null device 1 > > #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Variable',1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/upper_whisker.htm','upper whisker','definition of upper whisker'),1,TRUE) > a<-table.row.end(a) > for (i in 1:length(y[,1])) + { + a<-table.row.start(a) + a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE) + for (j in 1:5) + { + a<-table.element(a,r$stats[j,i]) + } + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/22wlw1258477417.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Boxplot Notches',4,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Variable',1,TRUE) > a<-table.element(a,'lower bound',1,TRUE) > a<-table.element(a,'median',1,TRUE) > a<-table.element(a,'upper bound',1,TRUE) > a<-table.row.end(a) > for (i in 1:length(y[,1])) + { + a<-table.row.start(a) + a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE) + a<-table.element(a,r$conf[1,i]) + a<-table.element(a,r$stats[3,i]) + a<-table.element(a,r$conf[2,i]) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/3mzq31258477417.tab") > > system("convert tmp/1hxy91258477417.ps tmp/1hxy91258477417.png") > > > proc.time() user system elapsed 0.394 0.158 0.539