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Data X:
9.3 6.7 12.3 2 8.7 6.3 14.6 2 8.2 5.9 17.7 2 8.3 6 15.2 2 8.5 6.3 22.3 2 8.6 6.8 14.8 2 8.5 6.4 10 2 8.2 6.3 2.9 2 8.1 6.7 5.6 2 7.9 6.7 16.1 2 8.6 6.9 23.7 2 8.7 7 26.5 2 8.7 6.2 20.9 2 8.5 6.3 15.9 2 8.4 6.8 13 2 8.5 6.8 7.8 2.21 8.7 6.8 17.5 2.25 8.7 6.2 24.4 2.25 8.6 6.6 33.7 2.45 8.5 6.8 32.3 2.5 8.3 6.5 33.4 2.5 8 6.4 22.2 2.64 8.2 6.3 21.7 2.75 8.1 5.9 12.8 2.93 8.1 5.7 15.2 3 8 6 17.1 3.17 7.9 6.1 17.6 3.25 7.9 5.7 17.5 3.39 8 5.8 14.7 3.5 8 5.8 12.9 3.5 7.9 5.8 12 3.65 8 5.3 11.1 3.75 7.7 5.3 12.3 3.75 7.2 5.3 18.9 3.9 7.5 5.2 24 4 7.3 5.4 29.6 4 7 6.2 30.9 4 7 6.9 33 4 7 7.1 34.9 4 7.2 7.5 40.1 4 7.3 7.6 30.8 4 7.1 8.4 31 4 6.8 8.1 23.8 4 6.4 9.1 30.8 4 6.1 9.8 27.6 4 6.5 9.9 30.2 4 7.7 9.4 22.2 4.18 7.9 9.5 19.9 4.25 7.5 8.8 18.3 4.25 6.9 7.2 15.2 3.97 6.6 6.7 10.1 3.42 6.9 6.1 6.5 2.75 7.7 5.9 1.9 2.31 8 4.6 2 2 8 4.7 4.3 1.66 7.7 3.8 4.8 1.31 7.3 3 4.9 1.09 7.4 2.3 2.1 1 8.1 3.3 5.5 1 8.3 3 10.6 1
Names of X columns:
Werkloosheid Inflatie Eco_Activiteit Rente
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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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Big Analytics Cloud Computing Center
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