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Data X:
13 5 12 3 15 0 12 7 10 4 12 1 15 6 9 3 12 12 11 0 11 5 11 6 15 6 7 6 11 2 11 1 10 5 14 7 10 3 6 3 11 3 15 7 11 8 12 6 14 3 15 5 9 5 13 10 13 2 16 6 13 4 12 6 14 8 11 4 9 5 16 10 12 6 10 7 13 4 16 10 14 4 15 3 5 3 8 3 11 3 16 7 17 15 9 0 9 0 13 4 10 5 6 5 12 2 8 3 14 0 12 9 11 2 16 7 8 7 15 0 7 0 16 10 14 2 16 1 9 8 14 6 11 11 13 3 15 8 5 6 15 9 13 9 11 8 11 8 12 7 12 6 12 5 12 4 14 6 6 3 7 2 14 12 14 8 10 5 13 9 12 6 9 5 12 2 16 4 10 7 14 5 10 6 16 7 15 8 12 6 10 0 8 1 8 5 11 5 13 5 16 7 16 7 14 1 11 3 4 4 14 8 9 6 14 6 8 2 8 2 11 3 12 3 11 0 14 2 15 8 16 8 16 0 11 5 14 9 14 6 12 6 14 3 8 9 13 7 16 8 12 0 16 7 12 0 11 5 4 0 16 14 15 5 10 2 13 8 15 4 12 2 14 6 7 3 19 5 12 9 12 3 13 3 15 0 8 10 12 4 10 2 8 3 10 10 15 7 16 0 13 6 16 8 9 0 14 4 14 10 12 5
Names of X columns:
IEP WP
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grey
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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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