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Data X:
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
Names of X columns:
Belgische_inflatie inflatie_energiedragers inflatie_onbewerkte_levensmiddelen
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Omit all rows with missing values?
no
yes
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R Code
z <- as.data.frame(t(y)) bitmap(file='test1.png') (r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=TRUE,col=par1)) dev.off() load(file='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$stats[j,i]) } a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Boxplot Notches',4,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Variable',1,TRUE) a<-table.element(a,'lower bound',1,TRUE) a<-table.element(a,'median',1,TRUE) a<-table.element(a,'upper bound',1,TRUE) a<-table.row.end(a) for (i in 1:length(y[,1])) { a<-table.row.start(a) a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE) a<-table.element(a,r$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='mytable1.tab')
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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