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Data X:
20.3 16 3 20 15 3 19.2 16 3 21.8 15 3 21.3 17 3 21.5 14 3 19.5 15 3 19.5 16 3 19.7 16 3 18.7 15 3 19.7 13 3 20 12 3 19.7 13 3 19.2 13 3 19.7 12 3 22 10 3 21.8 14 3 22.8 14 3 21 15 3.21 25 16 3.25 23.3 16 3.25 25 15 3.45 26.8 15 3.5 25.3 13 3.5 26.5 15 3.64 27.8 15 3.75 22 15 3.93 22.3 13 4 28 16 4.17 25 16 4.25 27.3 14 4.39 25.8 16 4.5 27.3 15 4.5 23.5 14 4.65 24.5 15 4.75 18 15 4.75 21.3 14 4.9 21.8 13 5 20.5 12 5 22.3 13 5 18.7 12 5 22.3 9 5 17.7 10 5 19.7 8 5 20.5 11 5 18.5 8 5 10 8 5 14.2 8 5 15.5 4 5 16.5 6 5.18 20.5 8 5.25 15.7 10 5.25 11.7 5 4.49 7.5 6 3.92 3.5 5 3.25 4.5 9 3 2.2 8 3 5 6 2.66 2.3 9 2.31 6.1 11 1.92 3.3 11 1.75
Names of X columns:
cgrb fsg rv
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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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