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Data X:
16 31 41 12 19 35 35 12 21 38 34 12 19 36 36 12 18 33 39 12 16 29 40 11 22 37 30 12 18 28 33 11 20 32 30 12 20 31 32 11 16 24 41 13 15 25 40 10 16 27 41 11 16 27 40 12 19 29 39 12 20 33 34 11 17 26 34 9 11 16 46 8 11 15 45 9 11 13 44 9 12 18 40 8 8 8 39 6 14 21 37 10 13 21 39 10 17 25 35 11 21 28 26 12 20 27 26 12 17 24 33 11 18 24 27 11 16 24 30 9 20 28 26 11 20 31 27 11 20 26 18 11 20 28 19 9 24 34 13 12 23 33 14 12 14 24 41 10 21 30 21 12 23 31 16 11 21 28 17 10 24 35 9 11 24 33 14 11 23 34 14 10 21 31 16 9 20 21 11 8 20 21 10 9 21 22 6 8 14 9 9 5 18 15 5 6 16 13 7 4 19 17 2 7 19 19 0 4 15 14 8 4 13 8 13 4 11 3 11 0 9 0 19 2 11 10 23 4 13 12 23 6 5 9 43 1 0 9 59 2
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IVHC AES WIN FVG
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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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