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Type 'q()' to quit R. > x <- array(list(1.8,0.8,2.9,1.7,-0.1,2.9,1.4,-1.5,2.9,1.2,-4.4,1.4,1,-4.2,1.1,1.7,3.5,1.9,2.4,10,2.8,2,8.6,1.4,2.1,9.5,0.7,2,9.9,-0.8,1.8,10.4,-3.1,2.7,16,0.1,2.3,12.7,1,1.9,10.2,1.9,2,8.9,-0.5,2.3,12.6,1.5,2.8,13.6,3.9,2.4,14.8,1.9,2.3,9.5,2.6,2.7,13.7,1.7,2.7,17,1.4,2.9,14.7,2.8,3,17.4,0.5,2.2,9,1,2.3,9.1,1.5,2.8,12.2,1.8,2.8,15.9,2.7,2.8,12.9,3,2.2,10.9,-0.3,2.6,10.6,1.1,2.8,13.2,1.7,2.5,9.6,1.6,2.4,6.4,3,2.3,5.8,3.3,1.9,-1,6.7,1.7,-0.2,5.6,2,2.7,6,2.1,3.6,4.8,1.7,-0.9,5.9,1.8,0.3,4.3,1.8,-1.1,3.7,1.8,-2.5,5.6,1.3,-3.4,1.7,1.3,-3.5,3.2,1.3,-3.9,3.6,1.2,-4.6,1.7,1.4,-0.1,0.5,2.2,4.3,2.1,2.9,10.2,1.5,3.1,8.7,2.7,3.5,13.3,1.4,3.6,15,1.2,4.4,20.7,2.3,4.1,20.7,1.6,5.1,26.4,4.7,5.8,31.2,3.5,5.9,31.4,4.4,5.4,26.6,3.9,5.5,26.6,3.5,4.8,19.2,3),dim=c(3,60),dimnames=list(c('Belgische_inflatie','inflatie_energiedragers','inflatie_onbewerkte_levensmiddelen'),1:60)) > y <- array(NA,dim=c(3,60),dimnames=list(c('Belgische_inflatie','inflatie_energiedragers','inflatie_onbewerkte_levensmiddelen'),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' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Prof. Dr. P. Wessa > #To cite this work: AUTHOR(S), (YEAR), 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: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > z <- as.data.frame(t(y)) > postscript(file="/var/www/html/rcomp/tmp/1lk431229245036.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] [1,] 1.0 -4.60 -0.8 [2,] 1.8 0.55 1.4 [3,] 2.3 9.75 2.0 [4,] 2.8 14.20 3.4 [5,] 4.1 31.40 6.0 $n [1] 60 60 60 $conf [,1] [,2] [,3] [1,] 2.096023 6.965712 1.592046 [2,] 2.503977 12.534288 2.407954 $out [1] 4.4 5.1 5.8 5.9 5.4 5.5 4.8 -3.1 6.7 $group [1] 1 1 1 1 1 1 1 3 3 $names [1] "Belgische_inflatie" "inflatie_energiedragers" [3] "inflatie_onbewerkte_levensmiddelen" > dev.off() null device 1 > > #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Variable',1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/upper_whisker.htm','upper whisker','definition of upper whisker'),1,TRUE) > a<-table.row.end(a) > for (i in 1:length(y[,1])) + { + a<-table.row.start(a) + a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE) + for (j in 1:5) + { + a<-table.element(a,r$stats[j,i]) + } + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/2kqlk1229245036.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/3jv3t1229245036.tab") > system("convert tmp/1lk431229245036.ps tmp/1lk431229245036.png") > > > proc.time() user system elapsed 0.391 0.170 0.836