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Data X:
26.8 26.4 27.3 27.7 28.5 29.2 28.5 28.6 23.5 27.4 24.3 28.6 25 26.2 25.3 26 26.5 26.6 25.5 25.1 25.8 24.7 24 25 23.5 23.6 19.2 21.9 19.2 19.9 15.7 14.3 21.8 14.4 21 13.6 19.7 12.3 20 12 14 8.1 16.5 4.6 14.5 4.5 16.5 6.6 14.7 9.1 13.7 9.2 12 12.7 10.2 13.5 10.2 14.9 10.5 14.7 12.7 13.2 6.7 11.6 9.5 11.6 14.5 10.3 11.7 11.2 15.7 10.4 10.7 8.5 14.2 9 11.5 5.1 12.7 3.8 12.5 5.6 10 2.7 11 4.3 14.5 7.4 19.5 10.6 18.2 11.9 18.7 14.6 16.7 15.4 15.7 15.1 16 16 18.2 16.9 19.5 18.7 22.3 20 20.3 19.6 20 23 19.2 20.4 21.8 21.2 21.3 20.6 21.5 18.7 19.5 16.8 19.5 18.2 19.7 16.4 18.7 15.8 19.7 13.1 20 12 19.7 12.5 19.2 11.8 19.7 12.4 22 16.3 21.8 18.3 22.8 19.3 21 20.2 25 20.6 23.3 22.2 25 23.3 26.8 25.3 25.3 25.5 26.5 26.3 27.8 27.7 22 26.5 22.3 25.5 28 26.9 25 25.7 27.3 26.9 25.8 26.1
Names of X columns:
bouwnijverheid gezamelijk
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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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0 seconds
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Big Analytics Cloud Computing Center
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