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Data X:
16.3 14.6 8.6 13.8 6.0 17.4 13.8 13.1 13.5 15.5 16.0 27.9 7.3 16.9 12.0 17.9 18.2 15.4 14.0 18.1 18.8 18.0 17.0 19.2 12.2 14.3 19.4 16.0 15.6 12.9 15.7 17.0 14.9 15.7 15.0 12.0 17.6 25.0 15.2 16.8 27.5 29.5 12.5 13.1 18.2 12.1 13.8 10.5 17.8 11.4 12.0 10.8 11.3 11.5 10.1 16.3 15.3 19.7 19.4 12.6 15.7 15.4 16.6 20.8 12.9 18.6 21.0 14.9 23.8 11.0 18.4 14.2 11.0 4.5 13.1 15.1 25.4 13.9 18.1 14.6 9.7 17.3 19.0 13.1 11.1 20.4 15.8 NA 19.7 19.2 8.0 NA 15.2 16.4 15.8 NA 14.6 15.5 19.0 NA 17.6 NA 10.3 NA
Names of X columns:
1 2 3 4 5 6 7 8
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Omit all rows with missing values?
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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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