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Data X:
12.9 4.35 12.8 12.7 7.4 18.1 6.7 12.6 14.8 19.1 13.3 18.4 11.1 14.7 8.2 10.6 11.4 12.6 6.4 16.2 11.3 18.9 10 14.1 6.4 16.15 10.8 14.75 13.8 14.8 11.7 12.45 13.4 12.65 11.7 17.35 9 18.4 9.7 11.6 10.8 17.75 12.7 15.25 11.8 17.65 5.9 14.75 11.4 9.9 13 16 11.3 13.85 6.7 17.1 12.1 14.6 13.3 15.4 5.7 17.6 13.3 13.9 7.6 16.25 11.1 15.65 13 14.6 9.9 11.2 11.1 16.35 "N/A" 15.85 "N/A" 7.65 "N/A" 12.35 "N/A" 15.6 "N/A" 13.1 "N/A" 12.85 "N/A" 9.5 "N/A" 11.85 "N/A" 13.6 "N/A" 17.6 "N/A" 16.1 "N/A" 13.35 "N/A" 15.15
Names of X columns:
2011 2012
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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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